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  1. Percutaneous radiofrequency ablation (RFA) is pivotal for treating small malignant liver tumors, but tumors often remain inconspicuous on B-mode ultrasound (US). This study evaluates the potential of CEUS-CT/M...

    Authors: Yuna Lee, Jeong Hee Yoon, Seungchul Han, Ijin Joo and Jeong Min Lee
    Citation: Cancer Imaging 2024 24:4
  2. Gliomas present a significant economic burden and patient management challenge. The 2021 WHO classification incorporates molecular parameters, which guide treatment decisions. However, acquiring these molecula...

    Authors: Nurhuda Hendra Setyawan, Lina Choridah, Hanung Adi Nugroho, Rusdy Ghazali Malueka and Ery Kus Dwianingsih
    Citation: Cancer Imaging 2024 24:3
  3. Commercialized total-body PET scanners can provide high-quality images due to its ultra-high sensitivity. We compared the dynamic, regular static, and delayed 18F-fluorodeoxyglucose (FDG) scans to detect lesio...

    Authors: Yaping Wu, Fangfang Fu, Nan Meng, Zhenguo Wang, Xiaochen Li, Yan Bai, Yun Zhou, Dong Liang, Hairong Zheng, Yongfeng Yang, Meiyun Wang and Tao Sun
    Citation: Cancer Imaging 2024 24:2
  4. Brain metastasis (BM) is most common in non-small cell lung cancer (NSCLC) patients. This study aims to enhance BM risk prediction within three years for advanced NSCLC patients by using a deep learning-based ...

    Authors: Jing Gong, Ting Wang, Zezhou Wang, Xiao Chu, Tingdan Hu, Menglei Li, Weijun Peng, Feng Feng, Tong Tong and Yajia Gu
    Citation: Cancer Imaging 2024 24:1
  5. Artificial intelligence (AI) systems are proposed as a replacement of the first reader in double reading within mammography screening. We aimed to assess cancer detection accuracy of an AI system in a Danish s...

    Authors: Mohammad Talal Elhakim, Sarah Wordenskjold Stougaard, Ole Graumann, Mads Nielsen, Kristina Lång, Oke Gerke, Lisbet Brønsro Larsen and Benjamin Schnack Brandt Rasmussen
    Citation: Cancer Imaging 2023 23:127
  6. To assess the resectability of pancreatic ductal adenocarcinoma (PDAC), the evaluation of tumor vascular contact holds paramount significance. This study aimed to compare the image quality and diagnostic perfo...

    Authors: Dong Ho Lee, Seung Soo Lee, Jeong Min Lee, Jin-Young Choi, Chang Hee Lee, Hong Il Ha, Bo-Kyeong Kang, Mi Hye Yu, Won Chang and Sae Jin Park
    Citation: Cancer Imaging 2023 23:126
  7. This study seeks to assess the utility of T1 and T2 mapping in distinguishing metastatic lymph nodes from reactive lymphadenopathy in patients with head and neck squamous cell carcinoma (HNSCC), using diffusio...

    Authors: Jiangming Qu, Boju Pan, Tong Su, Yu Chen, Tao Zhang, Xingming Chen, Xiaoli Zhu, Zhentan Xu, Tianjiao Wang, Jinxia Zhu, Zhuhua Zhang, Feng Feng and Zhengyu Jin
    Citation: Cancer Imaging 2023 23:125
  8. The presence of mediastinal lymph node metastasis is important because it is related to the treatment and prognosis of lung cancer. Although prevalently used, evaluation of lymph nodes is not always reliable. ...

    Authors: Kazuto Sugai, Yasuharu Sekine, Tomoyuki Kawamura, Takahiro Yanagihara, Yusuke Saeki, Shinsuke Kitazawa, Naohiro Kobayashi, Shinji Kikuchi, Yukinobu Goto, Hideo Ichimura and Yukio Sato
    Citation: Cancer Imaging 2023 23:124
  9. Nasopharyngeal carcinoma (NPC) is a relatively common type of cancer in Southern China, with local recurrence or distant metastases even after radical treatment; consequently, it is critical to identify the pa...

    Authors: Jie Ma, Rong Zhao, Yu-Lan Wu, Yang Liu, Guan-Qiao Jin and Dan-Ke Su
    Citation: Cancer Imaging 2023 23:123
  10. This study was designed to perform a comparative analysis between endoscopic ultrasonography (EUS) and double contrast-enhanced ultrasonography (DCEUS) for the preoperative diagnosis of gastric stromal tumors ...

    Authors: Huiliao He, Tingting Tang, Xiaohua Wang, Lingling Zhou and Liang Wang
    Citation: Cancer Imaging 2023 23:122
  11. Bone biopsies in metastatic castrate-resistant prostate cancer (mCRPC) patients can be challenging. This study’s objective was to prospectively validate a multiparametric bone MRI (mpBMRI) algorithm to facilit...

    Authors: Ricardo Donners, Ines Figueiredo, Daniel Westaby, Dow-Mu Koh, Nina Tunariu, Suzanne Carreira, Johann S. de Bono and Nicos Fotiadis
    Citation: Cancer Imaging 2023 23:121
  12. Accurate detection of cervical esophagus invasion (CEI) in HPSCC is challenging but crucial. We aimed to investigate the value of magnetic resonance imaging (MRI)-based radiomics for detecting CEI in patients ...

    Authors: Meng Qi, Yan Sha, Duo Zhang and Jiliang Ren
    Citation: Cancer Imaging 2023 23:120
  13. A recent randomised trial demonstrated [18F]fluorodeoxyglucose positron-emission tomography in combination with low-dose CT (FDG-PET/CT), compared to standard of care computed tomography (CT) imaging, positively ...

    Authors: Michelle Tew, Abby P. Douglas, Jeff Szer, Ashish Bajel, Simon J. Harrison, Shio Yen Tio, Leon J. Worth, Rodney J. Hicks, David Ritchie, Monica A. Slavin, Karin A. Thursky and Kim Dalziel
    Citation: Cancer Imaging 2023 23:119
  14. Postsurgical recurrence is of great concern for papillary thyroid carcinoma (PTC). We aim to investigate the value of computed tomography (CT)-based radiomics features and conventional clinical factors in pred...

    Authors: Haijun Xu, Wenli Wu, Yanfeng Zhao, Zhou Liu, Dan Bao, Lin Li, Meng Lin, Ya Zhang, Xinming Zhao and Dehong Luo
    Citation: Cancer Imaging 2023 23:118
  15. The consistency of meningiomas is critical to determine surgical planning and has a significant impact on surgical outcomes. Our aim was to compare mono-exponential, bi-exponential and stretched exponential MR...

    Authors: Lingmin Zheng, Peirong Jiang, Danjie Lin, Xiaodan Chen, Tianjin Zhong, Rufei Zhang, Jing Chen, Yang Song, Yunjing Xue and Lin Lin
    Citation: Cancer Imaging 2023 23:117
  16. The correlation between the preoperative splenic area measured on CT scans and the overall survival (OS) of early-stage non-small cell lung cancer (NSCLC) patients remains unclear.

    Authors: Mengmei Liu, Guanghong Yan, Yanli Li, Ruiming You, Lizhu Liu, Dafu Zhang, Guangjun Yang, Xingxiang Dong, Yingying Ding, Shan Yan, Dingyun You and Zhenhui Li
    Citation: Cancer Imaging 2023 23:116
  17. We aim to compare the differences in growth characteristics between part-solid and solid lung adenocarcinoma, and to investigate the value of volume doubling time (VDT) or mass doubling time (MDT) in predictin...

    Authors: Mengxi Liu, Junhao Mu, Feipeng Song, Xiangling Liu, Weiwei Jing and Fajin Lv
    Citation: Cancer Imaging 2023 23:115
  18. This study aimed to elucidate the impact of effective diffusion time setting on apparent diffusion coefficient (ADC)-based differentiation between primary central nervous system lymphomas (PCNSLs) and glioblas...

    Authors: Kiyohisa Kamimura, Tsubasa Nakano, Tomohito Hasegawa, Masanori Nakajo, Chihiro Yamada, Yoshiki Kamimura, Kentaro Akune, Fumitaka Ejima, Takuro Ayukawa, Hiroaki Nagano, Koji Takumi, Masatoyo Nakajo, Nayuta Higa, Hajime Yonezawa, Ryosuke Hanaya, Mari Kirishima…
    Citation: Cancer Imaging 2023 23:114
  19. To assess the effect of preoperative MRI with standardized Prostate Imaging–Reporting and Data System (PI-RADS) assessment on pathological outcomes in prostate cancer (PCa) patients who underwent radical prost...

    Authors: Qianyu Peng, Lili Xu, Gumuyang Zhang, Daming Zhang, Jiahui Zhang, Xiaoxiao Zhang, Xin Bai, Li Chen, Zhengyu Jin and Hao Sun
    Citation: Cancer Imaging 2023 23:113
  20. Neoadjuvant chemotherapy (NAC) before radical cystectomy is standard of care in patients with muscle-invasive bladder cancer (MIBC). Response assessment after NAC is important but suboptimal using CT. We asses...

    Authors: Sungmin Woo, Anton S. Becker, Jeeban P. Das, Soleen Ghafoor, Yuki Arita, Nicole Benfante, Natalie Gangai, Min Yuen Teo, Alvin C. Goh and Hebert A. Vargas
    Citation: Cancer Imaging 2023 23:110
  21. To investigate the value of [18F]FDG-PET/MRI in predicting treatment response and survival in patients with primary M0 esophageal squamous cell carcinoma.

    Authors: Yin-Kai Chao, Chun-Bi Chang, Yu-Chuan Chang, Sheng-Chieh Chan, Chien-Hung Chiu, Shu-Hang Ng, Jason Chia-Hsun Hsieh and Jen-Hung Wang
    Citation: Cancer Imaging 2023 23:109
  22. Prostate-specific membrane antigen (PSMA) PET/CT is a highly regarded radionuclide imaging modality for prostate cancer (PCa). This study aimed to evaluate the diagnostic performance of 18F-PSMA-1007 PET/CT in de...

    Authors: Liang Luo, Anqi Zheng, Ruxi Chang, Yunxuan Li, Jungang Gao, Zhuonan Wang and Xiaoyi Duan
    Citation: Cancer Imaging 2023 23:108
  23. The glymphatic system actively exchanges cerebrospinal fluid (CSF) and interstitial fluid (ISF) to eliminate toxic interstitial waste solutes from the brain parenchyma. Impairment of the glymphatic system has ...

    Authors: Jasleen Kaur, Guangliang Ding, Li Zhang, Yong Lu, Hao Luo, Lian Li, Edward Boyd, Qingjiang Li, Min Wei, Zhenggang Zhang, Michael Chopp and Quan Jiang
    Citation: Cancer Imaging 2023 23:107
  24. Fluorine 18 (18F) fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) has limitations in staging hepatocellular carcinoma (HCC). The recently introduced 18F-labeled fibroblast-activ...

    Authors: Jing Zhang, Shuqin Jiang, Mengsi Li, Haibao Xue, Xi Zhong, Shuyi Li, Hao Peng, Jiuceng Liang, Zhidong Liu, Songquan Rao, Haipeng Chen, Zewen Cao, Yuanfeng Gong, Guoshuo Chen, Rusen Zhang and Linqi Zhang
    Citation: Cancer Imaging 2023 23:106
  25. The anatomical infiltrated brain area and the boundaries of gliomas have a significant impact on clinical decision making and available treatment options. Identifying glioma-infiltrated brain areas and delinea...

    Authors: Yin Li, Kaiyi Zheng, Shuang Li, Yongju Yi, Min Li, Yufan Ren, Congyue Guo, Liming Zhong, Wei Yang, Xinming Li and Lin Yao
    Citation: Cancer Imaging 2023 23:105
  26. F-18 fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) is useful in multiple myeloma (MM) for initial workup and treatment response evaluation. Herein, we evaluated the prognosti...

    Authors: Hyunjong Lee, Seung Hyup Hyun, Young Seok Cho, Seung Hwan Moon, Joon Young Choi, Kihyun Kim and Kyung-Han Lee
    Citation: Cancer Imaging 2023 23:104
  27. This study aims to develop a model based on intratumoral and peritumoral radiomics from fat-suppressed T2-weighted(FS-T2WI) images to predict the histopathological grade of soft tissue sarcoma (STS).

    Authors: Liyuan Zhang, Yang Yang, Ting Wang, Xi Chen, Mingyue Tang, Junnan Deng, Zhen Cai and Wei Cui
    Citation: Cancer Imaging 2023 23:103
  28. Accurate response parameters are important for patients with brain metastasis (BM) undergoing clinical trials using immunotherapy, considering poorly defined enhancement and variable responses. This study inve...

    Authors: Yun Hwa Roh, Ji Eun Park, Sora Kang, Shinkyo Yoon, Sang-We Kim and Ho Sung Kim
    Citation: Cancer Imaging 2023 23:102
  29. This study aims to establish nomograms to accurately predict the overall survival (OS) and progression-free survival (PFS) in patients with non-small cell lung cancer (NSCLC) who received chemotherapy alone as...

    Authors: Runsheng Chang, Shouliang Qi, Yanan Wu, Yong Yue, Xiaoye Zhang and Wei Qian
    Citation: Cancer Imaging 2023 23:101
  30. Although efforts have been made to reduce the dose of Contrast Medium (CM) to improve patient safety, there are ongoing concerns regarding its potential effects on image quality and diagnostic performance. Mor...

    Authors: Jeong Hee Yoon, Jin Young Park, Sang Min Lee, Eun Sun Lee, Jae Hyun Kim and Jeong Min Lee
    Citation: Cancer Imaging 2023 23:100
  31. Accuracy of head and neck MRI (HN-MRI) in predicting tumor invasion of laryngeal site/subsites in patients with laryngeal cancer prior to laryngectomy is poorly evaluated in the literature. Therefore, we aim t...

    Authors: Issa Mohamad, Taher Abu Hejleh, Monther Qandeel, Maysa Al-Hussaini, Sami Koro, Ayat Taqash, Abdelatif Almousa, Fawzi Abuhijla, Ramiz Abuhijlih, Fatenah Ajlouni, Akram Al-Ibraheem, Dima Abu Laban, Tariq Hussein, Ebrahim Mayta, Wisam Al-Gargaz and Ali Hosni
    Citation: Cancer Imaging 2023 23:99
  32. Accurate assessment of programmed death-ligand 1 (PD-L1) expression status in nasopharyngeal carcinoma (NPC) before immunotherapy is crucial. We aimed to explore the reproducibility and usefulness of the quant...

    Authors: Xi Zhong, Li Li, Jinxue Yin, Yuanlin Chen, Xin Xin, Lanlan Yu, Yongfang Tang, Jiangyu Zhang and Jiansheng Li
    Citation: Cancer Imaging 2023 23:98
  33. Colorectal cancer (CRC) can develop through various pathogenetic pathways, and one of the primary pathways is high microsatellite instability (MSI-H)/deficient mismatch repair (dMMR). This study investigated t...

    Authors: Shuai Chen, Wenzhe Du, Yuhai Cao, Jixia Kong, Xin Wang, Yisen Wang, Yang Lu and Xiang Li
    Citation: Cancer Imaging 2023 23:97
  34. The goal of this study is to demonstrate the performance of radiomics and CNN-based classifiers in determining the primary origin of gastrointestinal liver metastases for visually indistinguishable lesions.

    Authors: Hishan Tharmaseelan, Abhinay K. Vellala, Alexander Hertel, Fabian Tollens, Lukas T. Rotkopf, Johann Rink, Piotr Woźnicki, Isabelle Ayx, Sönke Bartling, Dominik Nörenberg, Stefan O. Schoenberg and Matthias F. Froelich
    Citation: Cancer Imaging 2023 23:95
  35. The reliable ultrasound (US) measurements of papillary thyroid microcarcinoma (PTMC) are very important during active surveillance. This prospective study was design to investigate the inter-observer reliabili...

    Authors: Lin Yan, Ling Ren, Yingying Li and Yukun Luo
    Citation: Cancer Imaging 2023 23:94
  36. To compare the genomic testing based on specimens obtained from percutaneous core-needle biopsy (CNB) before and immediately after coaxial microwave ablation (MWA) in solid non-small cell lung cancer (NSCLC), ...

    Authors: Sheng Xu, Lei He, Jing Qi, Fan-Lei Kong, Zhi-Xin Bie, Yuan-Ming Li, Zheng Wang and Xiao-Guang Li
    Citation: Cancer Imaging 2023 23:93
  37. Histopathology is the reference standard for diagnosing liver metastases of neuroendocrine tumors (NETs). Somatostatin receptor-positron emission tomography / computed tomography (SSR-PET/CT) has emerged as a ...

    Authors: M. P. Fabritius, V. Soltani, C. C. Cyran, J. Ricke, P. Bartenstein, C. J. Auernhammer, C. Spitzweg, M. L. Schnitzer, R. Ebner, S. Mansournia, A. Hinterberger, A. Lohse, G. T. Sheikh, M. Winkelmann, T. Knösel, M. Ingenerf…
    Citation: Cancer Imaging 2023 23:92
  38. To investigate the efficacy and safety of tyrosine-kinase inhibitor (TKI) combined with iodine-125 seed brachytherapy (TKI-I) versus TKI alone for patients with hepatocellular carcinoma (HCC) refractory to tra...

    Authors: Yongjian Guo, Jingqiang Wu, Licong Liang, Kangshun Zhu, Jingwen Zhou, Liteng Lin, Ye Chen, Bihui Cao, Mingji He, Hui Lian, Wensou Huang and Mingyue Cai
    Citation: Cancer Imaging 2023 23:91
  39. Intra-tumoral heterogeneity of 18F‐fluorodeoxyglucose (18F‐FDG) uptake has been proven to be a surrogate marker for predicting treatment outcome in various tumors. However, the value of intra-tumoral heterogeneit...

    Authors: Guang Ma, Shuhui You, Yizhao Xie, Bingxin Gu, Cheng Liu, Xichun Hu, Shaoli Song, Biyun wang and Zhongyi Yang
    Citation: Cancer Imaging 2023 23:90
  40. To construct and assess a computed tomography (CT)-based deep learning radiomics nomogram (DLRN) for predicting the pathological grade of bladder cancer (BCa) preoperatively.

    Authors: Hongzheng Song, Shifeng Yang, Boyang Yu, Na Li, Yonghua Huang, Rui Sun, Bo Wang, Pei Nie, Feng Hou, Chencui Huang, Meng Zhang and Hexiang Wang
    Citation: Cancer Imaging 2023 23:89
  41. The current study aimed to construct and validate a magnetic resonance imaging (MRI)-based radiomics nomogram to predict tumor protein p53 gene status in rectal cancer patients using machine learning.

    Authors: Xia Zhong, Jiaxuan Peng, Zhenyu Shu, Qiaowei Song and Dongxue Li
    Citation: Cancer Imaging 2023 23:88
  42. Statistical atlases can provide population-based descriptions of healthy volunteers and/or patients and can be used for region- and voxel-based analysis. This work aims to develop whole-body diffusion atlases ...

    Authors: Therese Sjöholm, Sambit Tarai, Filip Malmberg, Robin Strand, Alexander Korenyushkin, Gunilla Enblad, Håkan Ahlström and Joel Kullberg
    Citation: Cancer Imaging 2023 23:87
  43. This study aimed to investigate the ability of Al18F-NOTA-FAPI PET/CT to diagnose pancreatic carcinoma and tumor-associated inflammation with the comparison of 18F-FDG PET/CT.

    Authors: Zhehao Lyu, Wei Han, Qi Zhang, Hongyue Zhao, Shan Liu, Yan Wang, Jin He, Changjiu Zhao, Lin Tian and Peng Fu
    Citation: Cancer Imaging 2023 23:86
  44. 18Fluorine-Fluoro-deoxy-glucose (18F-FDG) positron emission tomography (PET) is widely used for diagnosing various malignant tumors and evaluating metabolic activities. Although the usefulness of 18F-FDG PET has ...

    Authors: Kyungwon Kim, Dong Kyu Kim, Ju Hyung Moon, Eui Hyun Kim, Sun Ho Kim, Cheol Ryong Ku and Eun Jig Lee
    Citation: Cancer Imaging 2023 23:85
  45. Extranodal extension (ENE) in head and neck squamous cell carcinoma (HNSCC) correlates to poor prognoses and influences treatment strategies. Deep learning may yield promising performance of predicting ENE in ...

    Authors: Tzu-Ting Huang, Yi-Chen Lin, Chia-Heng Yen, Jui Lan, Chiun-Chieh Yu, Wei-Che Lin, Yueh-Shng Chen, Cheng-Kang Wang, Eng-Yen Huang and Shinn-Ying Ho
    Citation: Cancer Imaging 2023 23:84
  46. To develop and validate a prediction model for early recurrence of stage I lung adenocarcinoma (LUAD) that combines radiomics features based on preoperative CT with tumour spread through air spaces (STAS).

    Authors: Yuhang Wang, Yun Ding, Xin Liu, Xin Li, Xiaoteng Jia, Jiuzhen Li, Han Zhang, Zhenchun Song, Meilin Xu, Jie Ren and Daqiang Sun
    Citation: Cancer Imaging 2023 23:83
  47. This study aimed to develop and validate a model based on biparametric magnetic resonance imaging (bpMRI) for the detection of clinically significant prostate cancer (csPCa) in biopsy-naïve patients.

    Authors: Beibei Hu, Huili Zhang, Yueyue Zhang and Yongming Jin
    Citation: Cancer Imaging 2023 23:82

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