Skip to main content

The value of bone marrow, liver, and spleen imaging in diagnosis, prognostication, and follow-up monitoring of myeloproliferative neoplasms: a systematic review



Diagnostic and treatment response criteria for the JAK2/CALR/MPL mutation-related myeloproliferative neoplasms (MPNs) are largely based on bone marrow (BM) biopsy results. However, these biopsies have several limitations, such as the risk of sampling error. Also, the prognostic impact of BM abnormalities is largely unclear. Although not currently used in clinical practice, imaging techniques might offer additional information. In this review, we investigated the value of BM, liver, and spleen imaging for diagnosis, prognostication, and response monitoring of the JAK2/CALR/MPL mutation-related MPNs (i.e. essential thrombocythemia (ET), polycythemia vera (PV), and myelofibrosis (MF)).


A systematic literature search was performed via PubMed, Embase and the Cochrane Library up to 2020 March 26th. Of 5505 identified records, 55 publications met the eligibility criteria (i.e. containing original data on the imaging appearance of BM, spleen, or liver in adult ET, PV, or MF patients, published in a peer-reviewed journal, written in English).


Many explorative studies described imaging features, sometimes with comparisons to clinical characteristics. Studies reporting measures of diagnostic accuracy included 1) splenic transient elastography to predict BM fibrosis grade in MF, 2) dynamic contrast-enhanced MRI to discern MF patients from ET patients and healthy controls, and 3) 18-fluorodeoxyglucose PET to detect residual disease after stem cell transplantation in MF. The diagnostic accuracies of radiography and 99mTc-colloid scintigraphy were derived from several other articles. Except for the study on 18-fluorodeoxyglucose PET, we established substantial concerns regarding risk of bias and applicability across these studies, using the QUADAS-2 tool. Three publications described a correlation between imaging results and prognosis, of which one quantified the effect.


Based on current data, MRI (T1-weighted/STIR, Dixon) seems especially promising for the evaluation of BM fat content - and indirectly cellularity/fibrosis - in MF, and possibly for estimating BM cellularity in ET/PV. 18-fluorodeoxyglucose and 18-fluorothymidine PET/CT might be useful for evaluating BM fibrosis, with good reported accuracy of the former for the diagnosis of residual disease. Further research on these and other techniques is warranted to determine their exact value. Future researchers should improve methodology and focus on evaluation of diagnostic accuracy and prognostic implications of results.


Essential thrombocythemia (ET), polycythemia vera (PV), and myelofibrosis (MF) are relatively rare diseases that belong to the group of myeloproliferative neoplasms (MPNs). These diseases - with age-standardized incidence rates of 1.6, 1.48, and 0.52/100,000 person-years, respectively - greatly affect hematopoiesis [1]. Normally, hematopoiesis occurs in the liver and spleen in the fetus, occupies most of the bone marrow (BM) at birth, and is confined to the axial skeleton in adulthood [2]. Conversion from cellular to fatty marrow during childhood starts in the distal extremities and proceeds proximally. In adults, fatty marrow contains 80% fat, compared with 40–60% in cellular marrow. High hematopoietic demand can cause reconversion to cellular marrow. The marrow framework is formed by cancellous bone, composed of primary and secondary trabeculae. Blood supply comes from periosteal and nutrient arteries, the latter forming a sinusoidal network [3]. In MPNs, various alterations in BM composition develop over time, presumably caused by driving mutations and inflammatory cytokines. ET, PV, and MF share similar driving mutations and are therefore grouped together as the JAK2/CALR/MPL mutation-related MPNs [4]. Although these MPN subtypes form distinct disease entities, they share morphologic features and have the ability to transform into each other. Classically, ET and PV are characterized by megakaryocytic- and trilinear hypercellularity, respectively. Myeloid hypercellularity can occur in early MF, progressing to atrophy with fibrosis and osteosclerosis in later stages [2]. Neoangiogenesis is found in all three diseases, albeit most pronounced in MF [5, 6]. BM alterations can coincide with constitutional symptoms and hepatosplenomegaly, due to a shift of hematopoiesis to the liver and spleen. Apart from spleen size measurements, imaging is currently not routinely used in the management of ET, PV, and MF. However, several challenges regarding diagnosis, prognostication, and response monitoring exist, for which imaging might form a solution.

Diagnostic criteria in ET, PV, and MF are largely based on BM biopsy results [4, 7]. However, overlapping histopathological features are known to complicate discrimination of these MPN subtypes. Also, BM biopsies yield limited information on functional processes - such as osteoblast activity and BM blood flow -, and offer no information on other hematopoietic compartments including the liver and spleen. Lastly, the reliability of single BM samples is questionable given the occurrence of crush artefacts [4], ‘sampling error’ in case of non-homogeneous disease distribution [8], and large interobserver variability regarding fibrosis grading [4]. Imaging might aid in diagnosis of MPN subtypes and abnormalities in the hematopoietic compartment, through increased spatial resolution and/or visualization of dynamic processes.

Apart from allogeneic stem cell transplantation (allo-SCT) – which is associated with high treatment-related morbidity and mortality -, no curative treatments exist for the JAK2/CALR/MPL mutation-related MPNs. Current treatment response criteria mainly assess clinical and laboratory parameters, but a complete response also requires a total reversal of BM abnormalities [7, 9]. However, significant BM changes are not often found on the short term and the invasive nature of the BM biopsy limits serial monitoring. Given the ongoing development of novel – often expensive - drugs, alternative techniques for (early) assessment of changes to the hematopoietic compartment during treatment are desirable.

Lastly, prognosis in the JAK2/CALR/MPL mutation-related MPNs varies greatly. Whilst most ET patients have a normal life expectancy, median overall survival in MF is approximately six years. Prognostic scoring models in ET and PV are largely based on clinical parameters, whereas mutational analyses play a larger role in MF [10]. Interestingly, the prognostic impact of the various BM abnormalities is largely unclear [9, 11,12,13,14], even though normalization hereof is pursued during treatment. Imaging might offer additional insight into prognostic relevance of BM abnormalities, since it can provide information on both focal disease severity and distribution throughout the hematopoietic compartment.

Hitherto, several reviews have described common imaging findings of BM and disease-related complications in MF [15, 16]. However, to our knowledge the value of imaging for diagnosis, prognostication and follow-up monitoring in the JAK2/CALR/MPL mutation-related MPNs has not been systematically evaluated. This was the purpose of our systematic review.


We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement [17]. Pre-specified and documented inclusion criteria were 1) publications describing the imaging appearance of BM, liver and/or spleen in human ET, PV, or MF patients aged ≥18 years, and 2) original data.. Publications were excluded if they only contained (spleen) size measurements and/or descriptions of MPN-related complications (e.g. focal extramedullary hematopoiesis, thrombosis). For the final review, only peer-reviewed published articles written in English were included and case reports were omitted. No restrictions on publication date or population size were imposed.

SS and RO systematically searched the databases PubMed, and The Cochrane Library (via Wiley) from inception to 2020 March 26th, using search terms expressing an equivalent of ‘myeloproliferative neoplasm’ and terms comprising different imaging techniques. The full search strategies are listed in the Supplemental Material. Reference lists of eligible studies were searched for additional publications. Results were collected in EndNote. Records were screened by SS to identify potentially relevant publications. Review was then independently performed by two authors (SS plus either ND or SZ) to identify studies that met the eligibility criteria, with disagreements resolved by a third reviewer (SZ or ND). Extracted data from eligible studies were entered into an Excel spreadsheet, including: study aims and design, inclusion criteria, patient number, MPN subtype, modality and timing of imaging, major imaging findings and correlations with histopathology or prognosis. We checked for duplicate publications by juxtaposing author names. All reports on a study were considered and data were pieced together if possible. Data from the report with the largest population were included in case of inconsistent patient numbers. Other relevant inconsistencies are mentioned in the text. Outcome measures of primary interest were diagnostic accuracy (e.g. sensitivity, specificity, positive and negative predictive values, area under the receiver operating characteristics (AUROC) curve), reliability (e.g. Cohen’s k) and prognosis (e.g. median survival).

SS and SZ assessed diagnostic accuracy studies for risk of bias and applicability, using the QUADAS-2 tool [18]. The review question was: what is the accuracy of imaging techniques that visualize (components of) the BM, spleen and/or liver in ET, PV, or MF patients (according to conventional criteria, i.e. WHO or equivalent), regarding determination of disease type and/or characteristics (compared to diagnostic criteria and/or histopathological examination) or monitoring of therapy response (compared to conventional response criteria)?


Study selection

Figure 1 depicts details of the selection process.

Fig. 1
figure 1

Flow of studies through selection process

Study characteristics

Out of 5505 records, 55 publications were eligible for inclusion. Many different techniques were used, including forms of ultrasonography (four studies, n = 176 MF) and quantitative computed tomography (qCT) (three studies, n = 24 MF/31 PV/14 ET), dual-energy X-ray absorptiometry (DXA) (four studies, n = 33MF/31 PV/14 ET), radiography (seven studies, n = 223 MF/41 PV), magnetic resonance imaging (MRI) (15 studies, n = 115 MF/33 PV/27 ET), scintigraphy (17 studies, n = 273MF/158PV), single photon emission CT (SPECT) (one study, n = 6 MF), positron-emission tomography (PET) (six studies, n = 60MF/6PV) and thermography (one study, n = 6 MF).

Below we present a general summary of imaging findings, followed by a synthesis of evidence regarding the use of imaging in diagnosis, prognostication, and follow-up monitoring. Concluding remarks concerning separate imaging modalities are listed in Table 1. Study details can be found in the Supplemental material.

Table 1 Summary of findings

General summary of imaging findings

Bone marrow – hematopoietic compartment

Evaluation of the hematopoietic compartment was done using MRI, scintigraphy, SPECT, or PET scanning. Table 2 lists commonly used MRI sequences and their corresponding tissue signal intensities. Table 3 provides an overview of used radiopharmaceuticals.

Table 2 MRI sequences and tissue signal intensities [3, 8]
Table 3 Overview of radiopharmaceuticals

On T1-weighted imaging, a low signal in the axial BM was reported in only a few ET patients [19, 20], whilst low T1 signals/prolonged vertebral T1 relaxation times were more common in PV [20,21,22,23,24]. MR spectroscopy (MRS) indicated normal T1 values of the water resonance in a few PV patients, suggesting an increased BM water content underlying the low T1 signals. Indeed, 18F-FDG PET/CT and BM scintigraphy with 111In-Cl3, 99mTc-colloid or 198Au-colloid (i.e. ‘reticuloendothelial scanning’) showed increased or normal axial uptake in PV with varying peripheral BM expansion, implying increased cellularity / cellular activity [25,26,27,28,29]. In advanced (or ‘spent phase’) PV, reported axial 111In-Cl3 uptake remained normal or high, whilst 99mTc-colloid uptake was more often decreased [27, 30]. Normal uptake on reticuloendothelial scanning was seen in patients after chemotherapeutic treatment [27, 28].

In MF, a low T1 signal in the axial BM was seen in all patients, indicating a decrease in fatty marrow [8, 19, 20, 23, 24, 31,32,33]. This signal distribution was homogeneous or patchy and sometimes extended into the appendicular skeleton [19, 23]. Dixon quantitatively confirmed markedly decreased fat fractions in a few patients [33, 34]. Diffusion-weighted MRI showed increased BM signals in two patients [35]. On short-tau inversion recovery (STIR) images, skeletal signals ranged from high tot low [8, 31, 32], and were presumed to reflect the degree of cellularity [31]. In analogy to PV, 18F-FDG PET/CT showed high axial BM uptake with variable degrees of peripheral BM uptake in MF patients [36]. In contrast, distribution patterns on 18F-FLT PET/CT ranged from near-normal to decreased axial uptake with peripheral BM expansion [35, 37, 38]. Axial uptake of 111In-Cl3 and 99mTc-colloid as detected by scintigraphy were mostly normal or low [27, 28, 30, 38,39,40,41,42,43,44], whilst high peripheral BM uptake was common [27, 28, 30, 38,39,40,41,42]. 52Fe scintigraphy demonstrated increased peripheral and axial BM uptake in 37% of MF patients [45]. Varying distribution patterns of 99mTc-leukocytes, 99mTc-LDL, and 99mTc-AGAb were reported in small patient numbers [41, 46, 47].

Bone marrow – bone density

In PV, only non-specific skeletal changes on conventional radiography were reported, including an osteoporotic appearance and hypertrophic osteoarthritic changes [48]. On DXA and high resolution peripheral qCT (HR-pQCT), no significant differences in spinal/femoral bone mineral density (BMD) and bone geometry, microarchitecture, or strength were found between ET/PV patients and healthy controls [49].

In MF, skeletal abnormalities on radiography were seen more often, with a prevalence of increased radiodensity of 23–100% in overall populations [50,51,52,53,54,55]. Skeletal distribution was diffuse or patchy, with a predominance for the axial skeleton and proximal extremities [50,51,52, 54]. A decreased skeletal radiodensity was noted in 7.5–43% of patients [50, 51]. Studies on DXA yielded conflicting results. Whilst a larger case-control study found normal femoral BMDs and non-significantly increased spinal BMDs in MF patients compared with controls [56], two smaller studies did describe increased femoral BMDs in the majority of patients [55, 57]. Increased lumbar BMD was confirmed on qCT in four of the latter patients [55]. On HR-pQCT, high trabecular numbers and bone mass were described in MF compared with healthy controls, albeit not statistically significant [56]. Other clues for increased bone formation in a few MF patients were found on fat-suppressed T2-weighted MRI (high signals of the metaphyses) [55] and 99mTc-MDP scintigraphy (increased uptake) [42].

Bone marrow – vascularity

DCE-MRI demonstrated no significant differences in perfusion parameters between a group of ET/PV patients and controls [58]. However, increased peak contrast enhancement (CE) ratios in water+fat fractions were demonstrated in two other PV patients, with normal peak CE ratios in the water fraction, thus suggesting decreased fat fractions with normal vascular density [59].

In MF, a significant increase in MR signal ratio between BM and intervertebral disk was demonstrated in several patients after intravenous contrast administration, in accordance with increased microvessel density on BM biopsies [32]. On DCE-MRI, significantly increased contrast wash-in (WIN), maximum CE (CEmax) and WIN/time-to-maximum slope were reported [58]. Infrared thermography indicated a 1.5–4 °C temperature difference between skin overlying bone and adjacent skin in MF patients with histopathological evidence of increased blood vessel endothelium, but not in controls [42]. Additional evidence for increased skeletal blood flow in a small number of PV and MF patients came from studies that used PET (with 15O-CO2) or scintigraphy (with 99mTc-MDP, 18F, or 133Xe) [42, 60,61,62,63]. Conflicting results regarding the correlation between blood flow and BM cellularity were reported [60, 61].

Liver and spleen

On conventional ultrasound, the reported echotexture of (enlarged) livers and spleens in MF patients was usually normal, despite proven myeloid metaplasia in a few cases [64, 65]. Focal splenic and hepatic lesions (hypo−/anechoic or hyperechoic) were reported in 16 and 23% of patients during follow-up, respectively. Both myeloid metaplasia and metastases were described underlying these lesions [64]. On transient elastography, slightly elevated median and mean hepatic stiffness values were reported in MF patients compared with known reference values, albeit with a wide range [65,66,67]. Splenic stiffness values were markedly higher compared with a group of healthy controls [65, 66]. Shear wave elastography results were slightly different compared to transient elastography, with correlation coefficients of 0.78 and 0.21 for splenic and hepatic imaging, respectively [65]. Splenic tissue characterization via sound speed measurements and attenuation studies indicated no significant differences between MF patients and healthy controls [68,69,70], although sound speed was significantly lower in patients with higher BM fibrosis grades [69]. Regarding the etiology of splenomegaly, a study using 99mTc-red blood cell (RBC) and 113mIn-heat-damaged RBC scintigraphy demonstrated a significant correlation between splenic size and hypervascularization in both MF and PV, whilst a correlation with hypercellularity was only seen in MF [71]. In line with these findings, variably increased splenic uptake of 18F-FDG, 18F-FLT and 111In-Cl3 has been demonstrated in MF, often combined with low axial and/or high peripheral BM uptake [27, 28, 30, 35,36,37,38,39]. Lastly, increased splenic membrane metabolism was suspected in one PV and three MF patients because of increased phosphomonoester/Pi and phosphomonoester/B-ATP ratios as measured by splenic 31-phosphor MRS [72].

The value of imaging in diagnosis

Abnormalities in the hematopoietic compartment

Five studies described general correlations between imaging results and histopathological findings. Measures of diagnostic accuracy were reported by one study, and could be derived from three additional studies.

In a case-control study including 20 MF and 18 ET patients, the vertebral T1 signal correlated significantly with the histopathological fat fraction [19], but cut-off values were not defined. Another study including one PV and three ET patients demonstrated that the vertebral/spinal cord T1 signal ratio can estimate BM cellularity in patients with homogeneous disease distribution and reciprocity between cellular and adipose fractions. For the formula ‘BM cellularity(%) = 131.2–(79.6xMR ratio)’, the mean difference between observed and predicted BM cellularity was 5.6% (SD 4.0) [20]. Since such reciprocity is not present in MF, other studies have added STIR to T1-weighted imaging to differentiate between fibrosis and hypercellularity. However, in a series of 13 MF patients, T1-weighted MRI/STIR patterns did not correlate with BM biopsy results [31]. Of note, both scan results and BM histopathology were evaluated on 3-point scale, thus nuances may have been lost.

In three separate studies including 35, 15 and 55 MF patients, BM fibrosis grade inversely correlated to axial 18F-FDG SUVmax, spinal/proximal limb 18F-FLT SUVmax and skeletal 111In-Cl3 uptake, respectively [36, 38, 43]. However, specific values per fibrosis grade were not reported and the degree of BM cellularity was not evaluated in the first two studies. The study using 111In-Cl3 did report a significant correlation between skeletal uptake and BM cellularity [43], which was endorsed by three smaller studies [40, 41, 44] but refuted in another [30]. The correlation between 99mTc-colloid uptake and BM findings was weaker [43]. Since 99mTc-colloid uptake was generally lower than 111In-Cl3 uptake, and often decreased earlier in advanced disease, this tracer was presumed to reflect changes in stromal architecture in addition to hematopoietic cells [27, 30, 38, 39, 43].

Of note, reproducibility testing of the rating of peripheral BM uptake has only been performed for 18F-FDG PET/CT, which results in an interobserver and intraobserver Cohen’s k of 0.95 and 1.0, respectively [36].

One consecutive case series found a significant correlation between BMD as measured by DXA and both the histopathologic stadium and histomorphometric bone volume [57]. Of note, the sample size was small, including only three patients with histopathological osteosclerosis.

In a series of 108 consecutive MF patients, splenic stiffness correlated with BM fibrosis, with an AUROC of 0.79 for diagnosis of MF grades 2–3 [66]. Diagnostic performance improved by combining splenic stiffness with additional variables (LDH plus IPSS score) into a diagnostic model. At the optimal cut-off points, the reported accuracy hereof was 97% for identifying MF grades 0–1 and 95% for MF grades 2–3. Remarkably, this final model differed from a previous version which was presented as a conference abstract, due to different outcomes from multivariate analyses [73]. Also, it was unclear how many patients had been excluded and whether index and reference tests were evaluated in a blinded manner. No threshold was pre-specified and TE results were indeterminate in 18.5% of patients. The risk of bias was deemed high (Table 4) [66].

Table 4 Assessment of diagnostic accuracy studies according to QUADAS-2

Three studies compared radiography with histopathological results. Sclerosis was described in 60–100% of patients with histopathological osteo (myelo) sclerosis (n = 59) [50, 52, 53], in 39–57% of patients with myelofibrosis without osteosclerosis (n = 24) [50, 52], and in none of the six reported patients with hypercellular disease [50]. In one study, radiological sclerosis correlated with the histopathological percentage of bone, but not fibrous tissue [50]. Based on these studies, we derived a sensitivity of 60–100% and a specificity of 43–61% for the detection of histopathological osteosclerosis. Of note, biopsies were not necessarily taken from depicted areas, which might have influenced results. Also, risk of bias and applicability concerns across these studies were high (Table 4), due to outdated diagnostic criteria and uncertainties in patient inclusion, the intended use for the index test, and the time interval between index and reference tests (> 1 year in one study). In two studies it was unclear whether index and reference tests were evaluated in a blinded manner. Lastly, one study reported multiple observations in 5/23 patients, which we treated as independent measurements [50].

Differentiation of ET, PV, and MF

Two studies compared imaging results in the MPN subtypes without calculating diagnostic accuracy. One study did report measures of diagnostic accuracy, and we were able to derive them from another.

One case-control study demonstrated a significantly decreased vertebral T1 signal and histopathological fat fraction in 20 MF patients, whereas in 18 ET patients both parameters were near-normal. The femoral signal intensity was also significantly lower in MF [19]. Of note, disease severity and degree of BM cellularity were not reported. Another study found similar axial 111In-Cl3 uptake amongst 55 MF and 15 PV patients, with only slightly lower 99mTc-colloid uptake in MF [43]. MF patients did show higher splenic 111In-Cl3 uptake, but cut-off values were not defined.

In a case-control study including 12 MF, 6 ET and 6 PV patients, DCE-MRI was used to determine BM perfusion parameters (as described above). CEmax appeared most accurate in distinguishing MF from ET/PV patients and healthy controls, with respective positive and negative predictive values of 83–85 and 87% [58]. Of note, the threshold was not pre-specified and disease stages were unclear. Also, patient selection was not clearly described and it was unknown whether interpretation of the index test was done without knowledge of the reference test. Combined, this results in a considerable risk of bias (Table 4).

Lastly, one study performed 99mTc-albumin scintigraphy in 37 patients with polycythemia. High pelvic 99mTc-albumin fixation was shown to discern 19 PV patients from those with secondary polycythemia [29]. Although not primarily reported, we derived a sensitivity and specificity of 84 and 100% at the pre-specified cut-off value of 150kcnt/180 s. However, diagnostic criteria were outdated and patient inclusion was not clearly described. It was unclear whether interpretation of index and reference tests were done without knowledge of the other. Therefore, the risk of bias is largely unclear and applicability concerns exist (Table 4).

The value of imaging in prognostication

Three studies described a correlation between of imaging results and prognosis in MF, of which only one quantified the extent.

In an explorative study including 13 MF patients, patterns on combined T1-weighted MRI and STIR imaging correlated significantly with prognostic staging [31], with the lowest femoral and axial T1 and STIR signals occurring in high risk patients. Of note, this prognostic staging was based on part of an old scoring system and actual survival data were not provided. Another study including 50 MF patients stated that death was more frequent when axial 99mTc-colloid and 111In-Cl3 BM uptake were very poor and peripheral extension was weak, but no quantification hereof was provided [30]. Lastly, a study including 59 MF patients described a higher probability of 3-year survival in MF patients without increased peripheral 52Fe BM uptake versus those with increased uptake (66% vs 33%), but this difference was not statistically significant [45]. Mean duration of follow-up and number of events were not reported.

The value of imaging in follow-up monitoring

Seven studies described results of repeated imaging during follow-up and/or treatment of MF, of which only one presented diagnostic accuracy results.

One study evaluated splenic transient elastography before and after treatment with ruxolitinib in a subgroup of three MF patients [66]. All three patients showed a decrease in splenic stiffness (mean decrease 13 kPa), along with a decrease in spleen size. Of note, the reason for follow-up evaluations in these patients and therapy duration were not reported [66]. In another study, a subgroup of nine MF patients underwent repeated splenic sound speed measurements. An increase in sound speed was found in eight MF patients treated with chemotherapy (at 5–80 weeks after start of bulsulphan or 6-thioguanine), which correlated with a decrease in BM fibrosis and splenomegaly [69]. In contrast, the one MF patient who did not receive chemotherapy showed stable splenic sound speed after 10 months. Again, the reason for follow-up evaluations in these specific patients was unclear. One study described results of repeated DXA scans in two out of four included MF patients with known osteosclerosis. Both patients showed a further increase in lumbar BMD after 2–4 years, whilst femoral BMD increased in only one out of two [55]. No clinical follow-up details were provided.

One study performed sequential T1-weighted MRI/STIR and BM biopsies before allo-SCT in 35 MF patients, with planned repeated measurements at two later time points [8]. Since many patients declined repeat examinations, follow-up scans were available for 21 and 10 patients after 3 months and 1–2 years, respectively. A (partial) normalization of the T1 and STIR signals occurred in 19/21 patients. Changes usually started in the femora, and later progressed to the pelvis and vertebrae. The most pronounced changes were seen after more than one year post-allo-SCT. Histopathological fibrosis reduction was also seen in 18/19 patients, but discrepancies regarding the degree of reduction often existed compared to MRI results. These discrepancies were attributed to the effects of inhomogeneous disease, since MRI demonstrated biopsy needle tracks in non-representative areas (i.e. ‘sampling error’). Of note, the MRI scoring system for fibrosis was not explained in detail, thus limiting its external use. Also, selection bias might have occurred due to the high study drop-out rate. In a study using Dixon, four MF patients were evaluated before start of ruxolitinib treatment, and after 1–2 months, 3–5 months, and 6–10 months of treatment, respectively. Two out of four patients showed increasing pelvic and femoral fat fractions over time, along with a normalization of BM cellularity but with stable splenomegaly [34]. The most pronounced increases in fat fractions occurred after 5 months or longer. Interestingly, the two patients with stable fat fractions did show a significant decrease in splenomegaly. Unfortunately, no follow-up BM biopsies were available in these cases. One study performed repeated 99mTc-colloid and 111In-Cl3 scintigraphy in a subgroup of six MF patients [43]. Three untreated patients showed a decrease in axial uptake with an increase of splenic 111In-Cl3 uptake, whilst two patients treated with hydroxyurea showed a reversed pattern. However, the reasons for follow-up examinations, duration of follow-up and baseline results were not provided. One pilot study retrospectively evaluated 12 MF patients in whom 18F-FDG PET scans and BM biopsies were available both before and after allo-SCT (range: 100–442 days). A decrease in SUVmax_bm post-transplantation was found to correspond to a decrease in fibrosis grade [74]. Using the IWG-MRT criteria as the reference standard, the sensitivity of 18F-FDG PET for detecting residual disease was 100%, with a specificity of 83% and negative and positive predictive values of 100 and 86%, respectively [74]. Risk of bias seems low, although the initial indication for imaging and patient inclusion criteria were unclear, and uncertainty regarding the blinded interpretation of the reference test exists (Table 4).


A wide variety of imaging methods used in the evaluation of the JAK2/CALR/MPL mutation-related MPNs was identified via our systematic literature search. Most studies were explorative, and a minor subset reported correlations of imaging results to histopathological findings, disease severity, or treatment response. Diagnostic accuracy could be extracted or derived from seven studies. Nonetheless, findings can give direction to clinical practice and future research.

Regarding diagnosis of BM cellularity, T1-weighted MRI might be sufficient in ET and PV, although larger studies are required to confirm the accuracy of the formula defined by Rozman et al.. In MF, both T1-weighted MRI and Dixon seem to represent BM fat content, but they do not differentiate between hypercellularity and fibrosis. The addition of STIR might facilitate this differentiation, but the value of this technique alone could not be concluded based on published data. Nevertheless, the potential prognostic value of combined T1-weighted MRI/STIR imaging, along with their seemingly accurate reflection of response after allo-SCT, warrant further research in this field. Importantly, uniform grading of distribution patterns is required. Since Dixon offers the possibility of quantifying fat fractions, it forms an attractive alternative.

18F-FDG PET/CT, 18F-FLT PET/CT, and BM scintigraphy using 111In-Cl3- and 99mTc-colloid form reasonable alternatives for characterization of the hematopoietic compartment in PV and/or MF. Interestingly, although these techniques are meant to visualize cellularity/cellular activity, a correlation between uptake and BM cellularity was only demonstrated for 111In-Cl3 and 99mTc-colloid (with unclear diagnostic accuracy). However, 18F-FDG, 18F-FLT-, 111In-Cl3-, and 99mTc-colloid uptake were all inversely correlated with BM fibrosis grade in MF, providing potential value for disease monitoring. Indeed, in the well conducted study by Derlin et al., diagnostic accuracy of 18F-FDG PET/CT regarding residual disease after treatment of MF was high. Furthermore, reproducibility of this technique was demonstrated in a separate study. However, confirmation of these results in a second study is necessary before incorporation into clinical practice, given the small sample size.

Although hybrid imaging with 111In-Cl3-, and 99mTc-colloid also showed potential value in follow-up monitoring and prognostication, this technique has practical drawbacks. It requires two imaging acquisitions, 48 h apart, and 99mTc-colloid scintigraphy is not useful for splenic evaluation. Furthermore, quantitative analysis of 18F-FLT PET images has proven to be easier [38]. Lastly, evidence on scintigraphy combined with other tracers (99mTc-LDL, 99mTc-leukocytes, 99mTc-AGAb) is scarce.

Regarding evaluation of osteosclerosis, we found no evidence for a standard application of conventional radiography in PV or MF. Despite the risk of bias in most studies, the diagnostic accuracy for the diagnosis of osteosclerosis is insufficient. DXA might form an interesting alternative in MF, since it showed a correlation to histopathological bone volume. However, its discriminative ability in early disease stages is questionable. Data on HR-pQCT, qCT and scintigraphy using bone-seeking tracers are limited. Theoretically, the sensitivity of HR-pQCT could be insufficient in early disease stages, given the origination of abnormalities in the axial skeleton. Bone scintigraphy might provide more functional information on osteoblastic activity. In further evaluation hereof, the effect of BM blood flow on uptake of bone tracers should be taken into account. Several methods for evaluation of the latter seem promising, including DCE-MRI, skin thermography, scintigraphy and PET, but more research is needed. Although the predictive value of CEmax for differentiating MF and ET/PV patients seemed reasonable, this semi-quantitative outcome measure is sensitive to variations between patients and acquisition protocols, which complicates the definition of cut-off values and comparison between patients. Alternatively, quantitative parameters could be used, although these require the acquisition of a patient-derived arterial input function [75].

Regarding evaluation of splenomegaly, conventional ultrasound is often used in clinical practice. However, beyond size measurements this technique will likely not aid in diagnosis of MF, although abnormalities might warrant further evaluation. Also, splenic attenuation studies seem to be of limited value and data on 31-phosphor MRS are too scarce to recommend its use. Splenic transient elastography and sound speed measurements might indirectly reflect BM fibrosis grade in MF, and changes herein during treatment, but several concerns exist. Firstly, reliable measurements were not feasible in a substantial part of patients and splenic stiffness might be influenced by concurrent thrombotic disease. Furthermore, the study by Iurlo et al. carried a substantial risk of bias. Lastly, since the decreases in splenic stiffness and splenic sound speed during treatment coincided with a decrease in spleen size, the added value of these measurements is unclear.


Apart from the possible use of T1-weighted imaging to estimate BM cellularity, no techniques were described to aid in diagnosis, prognostication or follow-up of ET. In PV, 18F-FDG PET/CT and BM scintigraphy using 111In-Cl3- and 99mTc-colloid might reflect disease activity/severity, but diagnostic accuracy hereof is unknown.

In MF, T1-weighted MRI, STIR and Dixon are promising techniques for the evaluation and follow-up of BM fat content (and indirectly hypercellularity and fibrosis), but diagnostic accuracy is unknown. Results of 18F-FDG PET/CT, 18F-FLT PET/CT, and BM scintigraphy using 111In-Cl3- and 99mTc-colloid all correlated to BM fibrosis, thus providing potential value for disease monitoring. However, diagnostic accuracy was only determined for 18F-FDG PET/CT, which seemed to be high after allo-SCT. Conventional radiography seems insufficiently accurate for the diagnosis of osteosclerosis. Alternative techniques, including DXA, HR-pQCT and bone scintigraphy require further evaluation. Multiple studies suggested increased BM blood flow in MF, including DCE-MRI. Although this technique seemed to reasonably distinguish MF patients from ET/PV patients, it has multiple drawbacks. Finally, splenic transient elastography combined with clinical parameters might indirectly reflect BM fibrosis in MF, but the added value during follow-up monitoring is questionable.

Although evaluation of diagnostic accuracy might be complicated by imperfections in the reference standard (e.g. sampling error), many studies also showed methodological limitations. We hope that future investigators will improve study designs, including standardized interpretation of results with blinded interpreters, a clear reference standard, inclusion of consecutive patients and a systematic presentation of results (preferably using two-by-two tables and pre-specified cut-off values). In addition, it is essential to examine the prognostic relevance of imaging appearances in different disease stages. This will require studies with longer follow-up and/or comparison to existing prognostic scoring systems. Lastly, in search for a new diagnostic test, reproducibility, safety, availability and costs should be taken into account. We hope that our current review can aid future researchers in the choice of imaging techniques and study designs.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.



Bone marrow


Bone mineral density


Maximum contrast enhancement


Chemical shift imaging


Computed tomography


Dynamic contrast-enhanced magnetic resonance imaging


Dual-energy X-ray absorptiometry


Essential thrombocythemia






High-resolution peripheral quantitative computed tomography


International Prognostic Scoring System




Myeloproliferative neoplasms


Magnetic resonance imaging


Magnetic resonance spectroscopy




Positron emission tomography




Preferred Reporting Items for Systematic Reviews and Meta-Analysis


Polycythemia vera


Red blood cell


Stem cell transplantation


Single photon emission computed tomography


Short tau inversion recovery


Standardized uptake value




  1. Hultcrantz M, Ravn Landtblom A, Andréasson B, Samuelsson J, Dickman PW, Kristinsson SY, et al. Incidence of myeloproliferative neoplasms - trends by subgroup and age in a population-based study in Sweden. J Intern Med. 2020;287(4):448–54.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  2. Ward HP, Block MH. The natural history of agnogenic myeloid metaplasia (AMM) and a critical evaluation of its relationship with the myeloproliferative syndrome. Medicine (Baltimore). 1971;50(5):357–420.

    CAS  Article  Google Scholar 

  3. Steiner RM, Mitchell DG, Rao VM, Schweitzer ME. Magnetic resonance imaging of diffuse bone marrow disease. Radiol Clin N Am. 1993;31(2):383–409.

    CAS  PubMed  Google Scholar 

  4. Barbui T, Thiele J, Gisslinger H, Kvasnicka HM, Vannucchi AM, Guglielmelli P, et al. The 2016 WHO classification and diagnostic criteria for myeloproliferative neoplasms: document summary and in-depth discussion. Blood cancer journal. 2018;8(2):15.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Lekovic D, Gotic M, Skoda R, Beleslin-Cokic B, Milic N, Mitrovic-Ajtic O, et al. Bone marrow microvessel density and plasma angiogenic factors in myeloproliferative neoplasms: clinicopathological and molecular correlations. Ann Hematol. 2017;96(3):393–404.

    CAS  Article  PubMed  Google Scholar 

  6. Kvasnicka HM, Thiele J. Bone marrow angiogenesis: methods of quantification and changes evolving in chronic myeloproliferative disorders. Histol Histopathol. 2004;19(4):1245–60.

    CAS  Article  PubMed  Google Scholar 

  7. Tefferi A, Cervantes F, Mesa R, Passamonti F, Verstovsek S, Vannucchi AM, et al. Revised response criteria for myelofibrosis: international working group-Myeloproliferative neoplasms research and treatment (IWG-MRT) and European LeukemiaNet (ELN) consensus report. Blood. 2013;122(8):1395–8.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  8. Sale GE, Deeg HJ, Porter BA. Regression of myelofibrosis and osteosclerosis following hematopoietic cell transplantation assessed by magnetic resonance imaging and histologic grading. Biol Blood Marrow Transplant. 2006;12(12):1285–94.

    Article  PubMed  Google Scholar 

  9. Barosi G, Mesa R, Finazzi G, Harrison C, Kiladjian JJ, Lengfelder E, et al. Revised response criteria for polycythemia vera and essential thrombocythemia: an ELN and IWG-MRT consensus project. Blood. 2013;121(23):4778–81.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  10. McNamara C, Spiegel J, Atenafu E, Maze D, Sibai H, Gupta V. MIPSS70 and transfusion dependence predict survival in myelofibrosis patients treated with JAK1/2 inhibitor therapy. HemaSphere. 2018;2:624–5.

    Google Scholar 

  11. Gianelli U, Fiori S, Cattaneo D, Bossi A, Cortinovis I, Bonometti A, et al. Prognostic significance of a comprehensive histological evaluation of reticulin fibrosis, collagen deposition and osteosclerosis in primary myelofibrosis patients. Histopathology. 2017;71(6):897–908.

    Article  PubMed  Google Scholar 

  12. Manoharan A, Smart RC, Pitney WR. Prognostic factors in myelofibrosis. Pathology. 1982;14(4):455–61.

    CAS  Article  PubMed  Google Scholar 

  13. Mesa RA, Hanson CA, Rajkumar SV, Schroeder G, Tefferi A. Evaluation and clinical correlations of bone marrow angiogenesis in myelofibrosis with myeloid metaplasia. Blood. 2000;96(10):3374–80.

    CAS  Article  PubMed  Google Scholar 

  14. Zahr AA, Salama ME, Carreau N, Tremblay D, Verstovsek S, Mesa R, et al. Bone marrow fibrosis in myelofibrosis: pathogenesis, prognosis and targeted strategies. Haematologica. 2016;101(6):660–71.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  15. Oon SF, Singh D, Tan TH, Lee A, Noe G, Burbury K, et al. Primary myelofibrosis: spectrum of imaging features and disease-related complications. Insights Imaging. 2019;10(1):71.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Guermazi A, de Kerviler E, Cazals-Hatem D, Zagdanski AM, Frija J. Imaging findings in patients with myelofibrosis. Eur Radiol. 1999;9(7):1366–75.

    CAS  Article  PubMed  Google Scholar 

  17. Moher D, Liberati A, Tetzlaff J, Altman DG, Group P. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ. 2009;339(jul21 1):b2535.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011;155(8):529–36.

    Article  Google Scholar 

  19. Rozman C, Cervantes F, Rozman M, Mercader JM, Montserrat E. Magnetic resonance imaging in myelofibrosis and essential thrombocythaemia: contribution to differential diagnosis. Br J Haematol. 1999;104(3):574–80.

    CAS  Article  PubMed  Google Scholar 

  20. Rozman M, Mercader JM, Aguilar JL, Montserrat E, Rozman C. Estimation of bone marrow cellularity by means of vertebral magnetic resonance. Haematologica. 1997;82(2):166–70.

    CAS  PubMed  Google Scholar 

  21. Jensen KE, Grube T, Thomsen C, Sorensen PG, Christoffersen P, Karle H, et al. Prolonged bone marrow T1-relaxation in patients with polycythemia vera. Magn Reson Imaging. 1988;6(3):291–2.

    CAS  Article  PubMed  Google Scholar 

  22. Jensen KE, Jensen M, Grundtvig P, Thomsen C, Karle H, Henriksen O. Localized in vivo proton spectroscopy of the bone marrow in patients with leukemia. Magn Reson Imaging. 1990;8(6):779–89.

    CAS  Article  PubMed  Google Scholar 

  23. Amano Y, Wakabayashi H, Kumazaki T. MR signal changes in bone marrow of mandible in hematologic disorders. J Comput Assist Tomogr. 1995;19(4):552–4.

    CAS  Article  PubMed  Google Scholar 

  24. Kaplan KR, Mitchell DG, Steiner RM, Murphy S, Vinitski S, Rao VM, et al. Polycythemia vera and myelofibrosis: correlation of MR imaging, clinical, and laboratory findings. Radiology. 1992;183(2):329–34.

    CAS  Article  PubMed  Google Scholar 

  25. Engstedt L, Franzen S, Jonsson L, Larsson LG. In vivo localization of colloidal Au198 intravenously injected in polycythemia vera; a preliminary report. Acta Radiol. 1958;49(1):66–71.

    CAS  Article  PubMed  Google Scholar 

  26. Ayubcha C, Hosoya H, Mehdizadeh Seraj S, Zirakchian Zadeh M, SET M, Alavi A. A pilot study of FDG-PET/CT in polycythemia Vera using global analysis techniques. Asia Ocean J Nucl Med Biol. 2020;8(1):64–8.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Rain JD, Najean Y, Billotey C. Bone marrow scintigraphy as a useful method for estimating the physiological status of bone marrow and spleen in polycythaemia vera. Leukemia & lymphoma. 1996;22(Suppl 1):105–10.

    Article  Google Scholar 

  28. Schreiner DP. Reticuloendothelial scans in disorders involving the bone marrow. J Nuclear Med. 1974;15(12):1158–62.

    CAS  Google Scholar 

  29. Rudberg U, Skarberg KO. RES scintigraphy in polycythemia vera and secondary or relative polycythemia. Acta Radiol. 1993;34(2):183–6.

    CAS  Article  PubMed  Google Scholar 

  30. Rain JD, Najean Y. Bone marrow scintigraphy in myelofibrosis. Nouvelle revue francaise d'hematologie. 1993;35(1):101–2.

    CAS  PubMed  Google Scholar 

  31. Alpdogan O, Budak-Alpdogan T, Bayik M, Akoglu T, Kodalli N, Gurmen N. Magnetic resonance imaging in myelofibrosis. Blood. 1998;92(8):2995–7.

    CAS  Article  PubMed  Google Scholar 

  32. Amano Y, Onda M, Amano M, Kumazaki T. Magnetic resonance imaging of myelofibrosis. STIR and gadolinium-enhanced MR images. Clin Imaging. 1997;21(4):264–8.

    CAS  Article  PubMed  Google Scholar 

  33. Guckel F, Brix G, Semmler W, Zuna I, Knauf W, Ho AD, et al. Systemic bone marrow disorders: characterization with proton chemical shift imaging. J Comput Assist Tomogr. 1990;14(4):633–42.

    CAS  Article  PubMed  Google Scholar 

  34. Luker GD, Nguyen HM, Hoff BA, Galban CJ, Hernando D, Chenevert TL, et al. A Pilot Study of Quantitative MRI Parametric Response Mapping of Bone Marrow Fat for Treatment Assessment in Myelofibrosis. Tomography (Ann Arbor, Mich). 2016;2(1):67–78.

    Article  Google Scholar 

  35. Tsujikawa T, Tasaki T, Hosono N, Mori T, Makino A, Kiyono Y, et al. (18) F-FLT PET/MRI for bone marrow failure syndrome-initial experience. EJNMMI Res. 2019;9(1):16.

    Article  Google Scholar 

  36. Derlin T, Alchalby H, Bannas P, Veldhoen S, Apostolova I, Triviai I, et al. Assessment of bone marrow inflammation in patients with myelofibrosis: an 18F-fluorodeoxyglucose PET/CT study. Eur J Nucl Med Mol Imaging. 2015;42(5):696–705.

    CAS  Article  PubMed  Google Scholar 

  37. Agool A, Schot BW, Jager PL, Vellenga E. 18F-FLT PET in hematologic disorders: a novel technique to analyze the bone marrow compartment. J Nucl Med. 2006;47(10):1592–8.

    PubMed  Google Scholar 

  38. Vercellino L, Ouvrier MJ, Barre E, Cassinat B, de Beco V, Dosquet C, et al. Assessing bone marrow activity in patients with Myelofibrosis: results of a pilot study of (18) F-FLT PET. J Nuclear Med. 2017;58(10):1603–8.

    CAS  Article  Google Scholar 

  39. Ojeda-Uribe M, Morel O, Ungureanu C, Desterke C, Le Bousse-Kerdiles MC, Boulahdour H. Assessment of sites of marrow and extramedullary hematopoiesis by hybrid imaging in primary myelofibrosis patients. Cancer Med. 2016;5(9):2378–84.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Sayle BA, Helmer RE 3rd, Birdsong BA, Balachandran S, Gardner FH. Bone-marrow imaging with indium-111 chloride in aplastic anemia and myelofibrosis: concise communication. J Nuclear Med. 1982;23(2):121–5.

    CAS  Google Scholar 

  41. Aburano T, Yokoyama K, Shuke N, Kinuya S, Takayama T, Michigishi T, et al. Tc-99m HMPAO-labeled leukocytes for hematopoietic marrow imaging. Comparison with in-111 chloride. Clin Nucl Med. 1992;17(12):938–44.

    CAS  Article  PubMed  Google Scholar 

  42. Baglin TP, Crocker J, Timmins A, Chandler S, Boughton BJ. Bone marrow hypervascularity in patients with myelofibrosis identified by infra-red thermography. Clin Lab Haematol. 1991;13(4):341–8.

    CAS  Article  PubMed  Google Scholar 

  43. Arrago JP, Rain JD, Vigneron N, Poirier O, Chomienne C, D'Agay MF, et al. Diagnostic value of bone marrow imaging with 111indium-transferrin and 99m technetium-colloids in myelofibrosis. Am J Hematol. 1985;18(3):275–82.

    CAS  Article  PubMed  Google Scholar 

  44. Fortynova J, Bakos K, Pradacova J. Bone marrow scintigraphy in hemopoietic depletion states. Czechoslovak Med. 1981;4(3):137–46.

    CAS  Google Scholar 

  45. Ferrant A, Rodhain J, Leners N, Cogneau M, Verwilghen RL, Michaux JL, et al. Quantitative assessment of erythropoiesis in bone marrow expansion areas using 52Fe. Br J Haematol. 1986;62(2):247–55.

    CAS  Article  PubMed  Google Scholar 

  46. Huic D, Ivancevic V, Aurer I, Dodig D, Nemet D, Labar B, et al. Bone marrow immunoscintigraphy in haematological patients with pancytopenia: preliminary results. Nucl Med Commun. 2002;23(8):757–63.

    Article  PubMed  Google Scholar 

  47. Vallabhajosula S, Gilbert HS, Goldsmith SJ, Paidi M, Hanna MM, Ginsberg HN. Low-density lipoprotein (LDL) distribution shown by 99mtechnetium-LDL imaging in patients with myeloproliferative diseases. Ann Intern Med. 1989;110(3):208–13.

    CAS  Article  PubMed  Google Scholar 

  48. Hodgson JR, Good CA, Hall BE. The roentgenographic aspects of polycythemia vera. Proceed Staff Meetings Mayo Clin. 1946;21:152–7.

    CAS  Google Scholar 

  49. Farmer S, Shanbhogue VV, Hansen S, Stahlberg CI, Vestergaard H, Hermann AP, et al. Bone mineral density and microarchitecture in patients with essential thrombocythemia and polycythemia vera. Osteoporosis Int. 2017;28(2):677–85.

    CAS  Article  Google Scholar 

  50. Pettigrew JD, Ward HP. Correlation of radiologic, histologic, and clinical findings in agnogenic myeloid metaplasia. Radiology. 1969;93(3):541–8.

    CAS  Article  PubMed  Google Scholar 

  51. Takacsi-Nagy L, Graf F. Definition, clinical features and diagnosis of myelobibrosis. Clinics in haematology. 1975;4(2):291–308.

    CAS  PubMed  Google Scholar 

  52. Pawelski S, Kotakowski L, Pawlikowski J, Mietkowska I, Sielczak M. Radiological, haematological and histological analysis of myelosclerosis. Folia haematologica (Leipzig, Germany : 1928). 1973;99(1):1–9.

    CAS  Google Scholar 

  53. Hickling RA. The natural history of chronic non-leukaemic myelosis. Q J Med. 1968;37(146):267–79.

    CAS  PubMed  Google Scholar 

  54. Chelloul N, Briere J, Laval-Jeantet M, Najean Y, Vorhauer W, Jacquillat C. Prognosis of myeloid metaplasia with myelofibrosis. Biomedicine / [publiee pour l'AAICIG]. 1976;24(4):272–80.

    CAS  Google Scholar 

  55. Diamond T, Smith A, Schnier R, Manoharan A. Syndrome of myelofibrosis and osteosclerosis: a series of case reports and review of the literature. Bone. 2002;30(3):498–501.

    CAS  Article  PubMed  Google Scholar 

  56. Farmer S, Vestergaard H, Hansen S, Shanbhoque VV, Stahlberg CI, Hermann AP, et al. Bone geometry, bone mineral density, and micro-architecture in patients with myelofibrosis: a cross-sectional study using DXA, HR-pQCT, and bone turnover markers. Int J Hematol. 2015;102(1):67–75.

    CAS  Article  PubMed  Google Scholar 

  57. Mellibovsky L, Marinoso ML, Cervantes F, Besses C, Nacher M, Nogues X, et al. Relationship among densitometry, bone histomorphometry, and histologic stage in idiopathic myelofibrosis. Bone. 2004;34(2):330–5.

    CAS  Article  PubMed  Google Scholar 

  58. Courcoutsakis N, Spanoudaki A, Maris TG, Astrinakis E, Spanoudakis E, Tsatalas C, et al. Perfusion parameters analysis of the vertebral bone marrow in patients with Ph (1)(−) chronic myeloproliferative neoplasms (Ph (neg) MPN): a dynamic contrast-enhanced MRI (DCE-MRI) study. J Magn Reson Imaging. 2012;35(3):696–702.

    Article  PubMed  Google Scholar 

  59. Katsuya T, Inoue T, Ishizaka H, Aoki J, Endo K. Dynamic contrast-enhanced MR imaging of the water fraction of normal bone marrow and diffuse bone marrow disease. Radiat Med. 2000;18(5):291–7.

    CAS  PubMed  Google Scholar 

  60. Lahtinen R, Lahtinen T, Hyodynmaa S. Increased bone marrow blood flow in polycythemia vera. Eur J Nucl Med. 1983;8(1):19–22.

    CAS  Article  PubMed  Google Scholar 

  61. Martiat P, Ferrant A, Cogneau M, Bol A, Michel C, Rodhain J, et al. Assessment of bone marrow blood flow using positron emission tomography: no relationship with bone marrow cellularity. Br J Haematol. 1987;66(3):307–10.

    CAS  Article  PubMed  Google Scholar 

  62. Lahtinen R, Lahtinen T, Romppanen T. Bone and bone-marrow blood flow in chronic granulocytic leukemia and primary myelofibrosis. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 1982;23(3):218–24.

    CAS  Google Scholar 

  63. Van Dyke D, Parker H, Anger HO, McRae J, Dobson EL, Yano Y, et al. Markedly increased bone blood flow in myelofibrosis. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 1971;12(7):506–12.

    Google Scholar 

  64. Siniluoto TM, Hyvarinen SA, Paivansalo MJ, Alavaikko MJ, Suramo IJ. Abdominal ultrasonography in myelofibrosis. Acta Radiol. 1992;33(4):343–6.

    CAS  Article  PubMed  Google Scholar 

  65. Webb M, Shibolet O, Halpern Z, Nagar M, Amariglio N, Levit S, et al. Assessment of liver and spleen stiffness in patients with Myelofibrosis using FibroScan and shear wave Elastography. Ultrasound Q. 2015;31(3):166–9.

    Article  PubMed  Google Scholar 

  66. Iurlo A, Cattaneo D, Giunta M, Gianelli U, Consonni D, Fraquelli M, et al. Transient elastography spleen stiffness measurements in primary myelofibrosis patients: a pilot study in a single Centre. Br J Haematol. 2015;170(6):890–2.

    Article  PubMed  Google Scholar 

  67. Kemp W, Roberts S. FibroScan(R) and transient elastography. Aust Fam Physician. 2013;42(7):468–71.

    PubMed  Google Scholar 

  68. Manoharan A, Chen CF, Wilson LS, Griffiths KA, Robinson DE. Ultrasonic characterization of splenic tissue in myelofibrosis: further evidence for reversal of fibrosis with chemotherapy. Eur J Haematol. 1988;40(2):149–54.

    CAS  Article  PubMed  Google Scholar 

  69. Chen CF, Robinson DE, Wilson LS, Griffiths KA, Manoharan A, Doust BD. Clinical sound speed measurement in liver and spleen in vivo. Ultrason Imaging. 1987;9(4):221–35.

    CAS  Article  PubMed  Google Scholar 

  70. Wilson LS, Robinson DE, Griffiths KA, Manoharan A, Doust BD. Evaluation of ultrasonic attenuation in diffuse diseases of spleen and liver. Ultrason Imaging. 1987;9(4):236–47.

    CAS  Article  PubMed  Google Scholar 

  71. Zhang B, Lewis SM. The splenomegaly of myeloproliferative and lymphoproliferative disorders: splenic cellularity and vascularity. Eur J Haematol. 1989;43(1):63–6.

    CAS  Article  PubMed  Google Scholar 

  72. Smith SR, Martin PA, Davies JM, Edwards RH. Characterization of the spleen by in vivo image guided 31P magnetic resonance spectroscopy. NMR Biomed. 1989;2(4):172–8.

    CAS  Article  PubMed  Google Scholar 

  73. Iurlo A, Cattaneo D, Giunta M, Gianelli U, Casazza G, Fraquelli M, et al. Spleen stiffness measurement by transient elastography as a predictor of bone marrow fibrosis in primary myelofibrosis patients. Blood. 2014;124(21):1825.

  74. Derlin T, Alchalby H, Bannas P, Laqmani A, Ayuk F, Triviai I, et al. Serial 18F-FDG PET for monitoring treatment response after allogeneic stem cell transplantation for Myelofibrosis. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2016;57(10):1556–9.

    CAS  Article  Google Scholar 

  75. Tofts PS, Brix G, Buckley DL, Evelhoch JL, Henderson E, Knopp MV, et al. Estimating kinetic parameters from dynamic contrast-enhanced T (1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging. 1999;10(3):223–32.<223::AID-JMRI2>3.0.CO;2-S.

    CAS  Article  PubMed  Google Scholar 

  76. Steiner RM, Mitchell DG, Rao VM, Murphy S, Rifkin MD, Burk DLJ, et al. Magnetic resonance imaging of bone marrow: diagnostic value in diffuse hematologic disorders. Magn Reson Q. 1990;6(1):17–34.

    CAS  PubMed  Google Scholar 

Download references


Not applicable.



Author information

Authors and Affiliations



SS and SZ were responsible for the conception and design of the study. SS and RO contributed to data acquisition. SS, ND and SZ performed article selection based on eligibility criteria. SS, PR and SZ analyzed data. SS, ND, BB, JZ, PR and SZ interpreted the data. SS drafted the work. All authors revised previous versions, and read and approved the final manuscript.

Corresponding author

Correspondence to Stefanie Slot.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1.

Supplementary information: search strategies and overview of included articles.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Slot, S., van de Donk, N.W.C.J., Otten, R.H.J. et al. The value of bone marrow, liver, and spleen imaging in diagnosis, prognostication, and follow-up monitoring of myeloproliferative neoplasms: a systematic review. Cancer Imaging 21, 36 (2021).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Myeloproliferative neoplasms
  • Myelofibrosis
  • Diagnostic accuracy
  • Magnetic resonance imaging
  • PET/CT
  • Ultrasound
  • Computed tomography
  • Radiography
  • Dual-energy X-ray absorptiometry