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  1. To determine the predictive value of interstitial lung abnormalities (ILA) for epidermal growth factor receptor (EGFR) mutation status and assess the prognostic significance of EGFR and ILA in patients with no...

    Authors: Xiaoli Xu, Min Zhu, Zixing Wang, Jialu Li, Tao Ouyang, Cen Chen, Kewu Huang, Yuhui Zhang and Yanli L. Gao
    Citation: Cancer Imaging 2024 24:66
  2. Magnetic resonance (MR)-based radiomics features of brain metastases are utilised to predict epidermal growth factor receptor (EGFR) mutation and human epidermal growth factor receptor 2 (HER2) overexpression ...

    Authors: Yanran Li, Yong Jin, Yunling Wang, Wenya Liu, Wenxiao Jia and Jian Wang
    Citation: Cancer Imaging 2024 24:65
  3. To explore the potential of different quantitative dynamic contrast-enhanced (qDCE)-MRI tracer kinetic (TK) models and qDCE parameters in discriminating benign from malignant soft tissue tumors (STTs).

    Authors: Aixin Gao, Hexiang Wang, Xiuyun Zhang, Tongyu Wang, Liuyang Chen, Jingwei Hao, Ruizhi Zhou, Zhitao Yang, Bin Yue and Dapeng Hao
    Citation: Cancer Imaging 2024 24:64
  4. Accurate segmentation of gastric tumors from CT scans provides useful image information for guiding the diagnosis and treatment of gastric cancer. However, automated gastric tumor segmentation from 3D CT image...

    Authors: Ning Yuan, Yongtao Zhang, Kuan Lv, Yiyao Liu, Aocai Yang, Pianpian Hu, Hongwei Yu, Xiaowei Han, Xing Guo, Junfeng Li, Tianfu Wang, Baiying Lei and Guolin Ma
    Citation: Cancer Imaging 2024 24:63
  5. To develop and validate radiomics model based on computed tomography (CT) for preoperative prediction of CN0 status in patients with papillary thyroid carcinoma (PTC).

    Authors: Zongbao Li, Yifan Zhong, Yan Lv, Jianzhong Zheng, Yu Hu, Yanyan Yang, Yunxi Li, Meng Sun, Siqian Liu, Yan Guo, Mengchao Zhang and Le Zhou
    Citation: Cancer Imaging 2024 24:62
  6. The value of postoperative radiotherapy (PORT) for patients with non-small cell lung cancer (NSCLC) remains controversial. A subset of patients may benefit from PORT. We aimed to identify patients with NSCLC w...

    Authors: Zeliang Ma, Yu Men, Yunsong Liu, Yongxing Bao, Qian Liu, Xu Yang, Jianyang Wang, Lei Deng, Yirui Zhai, Nan Bi, Luhua Wang and Zhouguang Hui
    Citation: Cancer Imaging 2024 24:61
  7. This study systematically compares the impact of innovative deep learning image reconstruction (DLIR, TrueFidelity) to conventionally used iterative reconstruction (IR) on nodule volumetry and subjective image...

    Authors: L. D’hondt, C. Franck, P-J. Kellens, F. Zanca, D. Buytaert, A. Van Hoyweghen, H. El Addouli, K. Carpentier, M. Niekel, M. Spinhoven, K. Bacher and A. Snoeckx
    Citation: Cancer Imaging 2024 24:60
  8. This study aimed to evaluate the efficacy of radiomics signatures derived from polyenergetic images (PEIs) and virtual monoenergetic images (VMIs) obtained through dual-layer spectral detector CT (DLCT). Moreo...

    Authors: Linxia Wu, Chunyuan Cen, Xiaofei Yue, Lei Chen, Hongying Wu, Ming Yang, Yuting Lu, Ling Ma, Xin Li, Heshui Wu, Chuansheng Zheng and Ping Han
    Citation: Cancer Imaging 2024 24:55
  9. In the present study, we investigated the value of 18F-fibroblast-activation protein inhibitor (FAPI) positron emission tomography/computed tomography (18F-FAPI-42 PET/CT) to preoperative evaluations of appendice...

    Authors: Ye Dong, Shun Huang, Hubing Wu, Min Cao, Yanchao Huang, Ganghua Tang and Wenlan Zhou
    Citation: Cancer Imaging 2024 24:58
  10. PSMA PET/CT is a predictive and prognostic biomarker for determining response to [177Lu]Lu-PSMA-617 in patients with metastatic castration resistant prostate cancer (mCRPC). Thresholds defined to date may not be ...

    Authors: Narjess Ayati, Lachlan McIntosh, James Buteau, Ramin Alipour, Michal Pudis, Nicholas Daw, Price Jackson and Michael S. Hofman
    Citation: Cancer Imaging 2024 24:57
  11. This study aimed to compare the diagnostic value of [68 Ga]Ga-DOTA-FAPI-04 and [18F]FDG PET/CT imaging for primary lesions and metastatic lymph nodes in patients with tonsil cancer.

    Authors: Mengjing Ji, Guang Ma, Cheng Liu, Bingxin Gu, Xinyue Du, Xiaomin Ou, Xiaoping Xu, Shaoli Song and Zhongyi Yang
    Citation: Cancer Imaging 2024 24:56
  12. Our previous study suggests that tumor CD8+ T cells and macrophages (defined as CD68+ cells) infiltration underwent dynamic and heterogeneous changes during concurrent chemoradiotherapy (CCRT) in cervical canc...

    Authors: Kang Huang, Xuehan Huang, Chengbing Zeng, Siyan Wang, Yizhou Zhan, Qingxin Cai, Guobo Peng, Zhining Yang, Li Zhou, Jianzhou Chen and Chuangzhen Chen
    Citation: Cancer Imaging 2024 24:54
  13. Imaging features of colorectal cancers on 2-deoxy-2-[18F]fluoro-d-glucose (FDG) positron emission tomography/computed tomography (PET/CT) have been considered to be affected by tumor characteristics and tumor imm...

    Authors: Jeong Won Lee, Hyein Ahn, Ik Dong Yoo, Sun-pyo Hong, Moo-Jun Baek, Dong Hyun Kang and Sang Mi Lee
    Citation: Cancer Imaging 2024 24:53
  14. Combining conventional radiomics models with deep learning features can result in superior performance in predicting the prognosis of patients with tumors; however, this approach has never been evaluated for t...

    Authors: Zhen Tian, Yifan Cheng, Shuai Zhao, Ruiqi Li, Jiajie Zhou, Qiannan Sun and Daorong Wang
    Citation: Cancer Imaging 2024 24:52
  15. The evolution of Positron Emission Tomography (PET), culminating in the Total-Body PET (TB-PET) system, represents a paradigm shift in medical imaging. This paper explores the transformative role of Artificial...

    Authors: Lalith Kumar Shiyam Sundar, Sebastian Gutschmayer, Marcel Maenle and Thomas Beyer
    Citation: Cancer Imaging 2024 24:51
  16. The preoperative identification of tumor grade in chondrosarcoma (CS) is crucial for devising effective treatment strategies and predicting outcomes. The study aims to build and validate a CT-based radiomics n...

    Authors: Xiaoli Li, Xianglong Shi, Yanmei Wang, Jing Pang, Xia Zhao, Yuchao Xu, Qiyuan Li, Ning Wang, Feng Duan and Pei Nie
    Citation: Cancer Imaging 2024 24:50
  17. The Vesical Imaging-Reporting and Data System (VI-RADS) has demonstrated effectiveness in predicting muscle invasion in bladder cancer before treatment. The urgent need currently is to evaluate the muscle inva...

    Authors: Xinxin Zhang, Yichen Wang, Yilin Wang, Jie Zhang, Jin Zhang, Lianyu Zhang, Sicong Wang, Jianzhong Shou, Yan Chen and Xinming Zhao
    Citation: Cancer Imaging 2024 24:49
  18. Ductal Carcinoma In Situ (DCIS) can progress to invasive breast cancer, but most DCIS lesions never will. Therefore, four clinical trials (COMET, LORIS, LORETTA, AND LORD) test whether active surveillance for ...

    Authors: Sena Alaeikhanehshir, Madelon M. Voets, Frederieke H. van Duijnhoven, Esther H. lips, Emma J. Groen, Marja C. J. van Oirsouw, Shelley E. Hwang, Joseph Y. Lo, Jelle Wesseling, Ritse M. Mann and Jonas Teuwen
    Citation: Cancer Imaging 2024 24:48
  19. To investigate the computed tomography (CT) characteristics of air-containing space and its specific patterns in neoplastic and non-neoplastic ground glass nodules (GGNs) for clarifying their significance in d...

    Authors: Si-zhu Liu, Shi-hai Yang, Min Ye, Bin-jie Fu, Fa-jin Lv and Zhi-gang Chu
    Citation: Cancer Imaging 2024 24:47
  20. PSMA PET/CT is the most sensitive molecular imaging modality for prostate cancer (PCa), yet much of the developing world has little or no access to PET/CT. [99mTc]Tc-PSMA scintigraphy (PS) is a cheaper and more a...

    Authors: Olumayowa U. Kolade, Anita Brink, Akinwale O. Ayeni, Stuart More and Jennifer Holness
    Citation: Cancer Imaging 2024 24:46
  21. Risk factors for re-bleeding and death after acute variceal bleeding (AVB) in cirrhotic HCC patients are not fully understood.We aimed to (1) explore how the combination of high-risk esophageal varices, HCC st...

    Authors: Mingyuan Zhao, Binyue Zhang, Jianqiang Shi, Xiaoxian Tang, Hongxia Li, Shengwen Li, Yunfeng Yang, Yi Han, Rong Wang, Jian Xun, Kai Zhang, Xirun Wu and Jiang Zhao
    Citation: Cancer Imaging 2024 24:45
  22. To create radiomics signatures based on habitat to assess the instant response in lung metastases of colorectal cancer (CRC) after radiofrequency ablation (RFA).

    Authors: Haozhe Huang, Hong Chen, Dezhong Zheng, Chao Chen, Ying Wang, Lichao Xu, Yaohui Wang, Xinhong He, Yuanyuan Yang and Wentao Li
    Citation: Cancer Imaging 2024 24:44
  23. Automatic segmentation of hepatocellular carcinoma (HCC) on computed tomography (CT) scans is in urgent need to assist diagnosis and radiomics analysis. The aim of this study is to develop a deep learning base...

    Authors: I-Cheng Lee, Yung-Ping Tsai, Yen-Cheng Lin, Ting-Chun Chen, Chia-Heng Yen, Nai-Chi Chiu, Hsuen-En Hwang, Chien-An Liu, Jia-Guan Huang, Rheun-Chuan Lee, Yee Chao, Shinn-Ying Ho and Yi-Hsiang Huang
    Citation: Cancer Imaging 2024 24:43
  24. Positron Emission Tomography (PET) with combined [18F]-FDG and [11C]-acetate (dual-tracer) is used for the management of hepatocellular carcinoma (HCC) patients, although its prognostic value and underlying molec...

    Authors: Keith Wan Hang Chiu, Kel Vin Tan, Xinxiang Yang, Xiaoqiang Zhu, Jingjing Shi, Chi-Leung Chiang, Lawrence Chan, Yuan Hui, Pek-Lan Khong, Kwan Man and Jason Wing Hon Wong
    Citation: Cancer Imaging 2024 24:42
  25. Authors: Yae Won Park, Ji Eun Park, Sung Soo Ahn, Kyunghwa Han, NakYoung Kim, Joo Young Oh, Da Hyun Lee, So Yeon Won, Ilah Shin, Ho Sung Kim and Seung-Koo Lee
    Citation: Cancer Imaging 2024 24:41

    The original article was published in Cancer Imaging 2024 24:32

  26. Low-dose computed tomography (LDCT) has been shown useful in early lung cancer detection. This study aimed to develop a novel deep learning model for detecting pulmonary nodules on chest LDCT images.

    Authors: Chia-Ying Lin, Shu-Mei Guo, Jenn-Jier James Lien, Tzung-Yi Tsai, Yi-Sheng Liu, Chao-Han Lai, I-Lin Hsu, Chao-Chun Chang and Yau-Lin Tseng
    Citation: Cancer Imaging 2024 24:40
  27. Primary thyroid lymphoma (PTL) is a rare malignant disorder, and ultrasound plays an important role in PTL diagnosis and follow-up surveillance. Prediction of refractory/relapse events in PTL patients is an es...

    Authors: Jiang Ji, Luying Gao, Ruifeng Liu, Xinlong Shi, Liyuan Ma, Aonan Pan, Naishi Li, Chunhao Liu, Xiaoyi Li, Meng Yang, Yu Xia and Yuxin Jiang
    Citation: Cancer Imaging 2024 24:39
  28. To investigate the diagnostic value of dual-energy computed tomography (DECT) quantitative parameters in the identification of regional lymph node metastasis in pancreatic ductal adenocarcinoma (PDAC).

    Authors: Sheng Li, Dongping Jiang, Linling Jiang, Shumei Yan, Lizhi Liu, Guangying Ruan, Xuhui Zhou and Shuiqing Zhuo
    Citation: Cancer Imaging 2024 24:38
  29. Cutaneous squamous cell carcinoma (CSCC) has a propensity for perineural spread (PNS) which is associated with poorer treatment outcomes. Immunotherapy is the new standard of care treatment for advanced CSCC r...

    Authors: Karda Cavanagh, Luke S. McLean, Annette M. Lim, Anthony Cardin, Sidney M. Levy and Danny Rischin
    Citation: Cancer Imaging 2024 24:37
  30. The specific genetic subtypes that gliomas exhibit result in variable clinical courses and the need to involve multidisciplinary teams of neurologists, epileptologists, neurooncologists and neurosurgeons. Curr...

    Authors: Haiqing Fan, Yilin Luo, Fang Gu, Bin Tian, Yongqin Xiong, Guipeng Wu, Xin Nie, Jing Yu, Juan Tong and Xin Liao
    Citation: Cancer Imaging 2024 24:36
  31. This review aimed to assess the predictive value of background parenchymal enhancement (BPE) on breast magnetic resonance imaging (MRI) as an imaging biomarker for pathologic complete response (pCR) after neoa...

    Authors: Xue Li and Fuhua Yan
    Citation: Cancer Imaging 2024 24:35
  32. Pulmonary oligometastases are common in hepatocellular carcinoma (HCC), however, the existing therapeutic options have several limitations. This study aimed to assess the safety and efficacy of microwave ablat...

    Authors: Gang Wang, Zhigang Wei, Feihang Wang, Xiaoying Han, Haipeng Jia, Danyang Zhao, Chunhai Li, Lingxiao Liu, Xia Yang and Xin Ye
    Citation: Cancer Imaging 2024 24:34
  33. To differentiate benign and malignant solitary pulmonary lesions (SPLs) by amide proton transfer-weighted imaging (APTWI), mono-exponential model DWI (MEM-DWI), stretched exponential model DWI (SEM-DWI), and 18F-...

    Authors: Nan Meng, Chen Song, Jing Sun, Xue Liu, Lei Shen, Yihang Zhou, Bo Dai, Xuan Yu, Yaping Wu, Jianmin Yuan, Yang Yang, Zhe Wang and Meiyun Wang
    Citation: Cancer Imaging 2024 24:33
  34. To assess whether a deep learning-based system (DLS) with black-blood imaging for brain metastasis (BM) improves the diagnostic workflow in a multi-center setting.

    Authors: Yae Won Park, Ji Eun Park, Sung Soo Ahn, Kyunghwa Han, NakYoung Kim, Joo Young Oh, Da Hyun Lee, So Yeon Won, Ilah Shin, Ho Sung Kim and Seung-Koo Lee
    Citation: Cancer Imaging 2024 24:32

    The Correction to this article has been published in Cancer Imaging 2024 24:41

  35. Identifying breast cancer (BC) patients with germline breast cancer susceptibility gene (gBRCA) mutation is important. The current criteria for germline testing for BC remain controversial. This study aimed to de...

    Authors: Tingting Deng, Jianwen Liang, Cuiju Yan, Mengqian Ni, Huiling Xiang, Chunyan Li, Jinjing Ou, Qingguang Lin, Lixian Liu, Guoxue Tang, Rongzhen Luo, Xin An, Yi Gao and Xi Lin
    Citation: Cancer Imaging 2024 24:31
  36. Prostate-specific membrane antigen (PSMA) PET/CT imaging is widely used for quantitative image analysis, especially in radioligand therapy (RLT) for metastatic castration-resistant prostate cancer (mCRPC). Unk...

    Authors: Elmira Yazdani, Najme Karamzadeh-Ziarati, Seyyed Saeid Cheshmi, Mahdi Sadeghi, Parham Geramifar, Habibeh Vosoughi, Mahmood Kazemi Jahromi and Saeed Reza Kheradpisheh
    Citation: Cancer Imaging 2024 24:30
  37. To investigate the diagnostic value of diffusion kurtosis magnetic resonance imaging (DKI) and conventional diffusion-weighted imaging (DWI) for evaluating the response to first-line chemotherapy in unresectab...

    Authors: Zehua Zhang, Yuqin Zhang, Feixiang Hu, Tiansong Xie, Wei Liu, Huijing Xiang, Xiangxiang Li, Lei Chen and Zhengrong Zhou
    Citation: Cancer Imaging 2024 24:29
  38. Surgically resected grade 1–2 (G1-2) pancreatic neuroendocrine tumors (PanNETs) exhibit diverse clinical outcomes, highlighting the need for reliable prognostic biomarkers. Our study aimed to develop and valid...

    Authors: Subin Heo, Hyo Jung Park, Hyoung Jung Kim, Jung Hoon Kim, Seo Young Park, Kyung Won Kim, So Yeon Kim, Sang Hyun Choi, Jae Ho Byun, Song Cheol Kim, Hee Sang Hwang and Seung Mo Hong
    Citation: Cancer Imaging 2024 24:28
  39. The state-of-the-art method for imaging men with biochemical recurrence of prostate cancer (BCR) is prostate-specific membrane antigen (PSMA)-targeted positron emission tomography/computed tomography (PET/CT) ...

    Authors: Florian Rosar, Caroline Burgard, Elena Larsen, Fadi Khreish, Robert J. Marlowe, Andrea Schaefer-Schuler, Stephan Maus, Sven Petto, Mark Bartholomä and Samer Ezziddin
    Citation: Cancer Imaging 2024 24:27
  40. To investigate the association between Kirsten rat sarcoma viral oncogene homolog (KRAS) / neuroblastoma rat sarcoma viral oncogene homolog (NRAS) /v-raf murine sarcoma viral oncogene homolog B (BRAF) mutation...

    Authors: Hongyue Zhao, Yexin Su, Yan Wang, Zhehao Lyu, Peng Xu, Wenchao Gu, Lin Tian and Peng Fu
    Citation: Cancer Imaging 2024 24:26
  41. Tumor spread through air spaces (STAS) is associated with poor prognosis and impacts surgical options. We aimed to develop a user-friendly model based on 2-[18F] FDG PET/CT to predict STAS in stage I lung adenoca...

    Authors: Zhaisong Gao, Pingping An, Runze Li, Fengyu Wu, Yuhui Sun, Jie Wu, Guangjie Yang and Zhenguang Wang
    Citation: Cancer Imaging 2024 24:25
  42. To build machine learning predictive models for surgical risk assessment of extracapsular extension (ECE) in patients with prostate cancer (PCa) before radical prostatectomy; and to compare the use of decision...

    Authors: Adalgisa Guerra, Matthew R. Orton, Helen Wang, Marianna Konidari, Kris Maes, Nickolas K. Papanikolaou and Dow Mu Koh
    Citation: Cancer Imaging 2024 24:24
  43. The detection of local recurrence for prostate cancer (PCa) patients following radical prostatectomy (RP) is challenging and can influence the treatment plan. Our aim was to construct and verify machine learni...

    Authors: Chenhan Hu, Xiaomeng Qiao, Chunhong Hu, Changhao Cao, Ximing Wang and Jie Bao
    Citation: Cancer Imaging 2024 24:23
  44. Whole-body magnetic resonance imaging (WB-MRI) has emerged as a valuable tool for cancer detection. This study evaluated the prevalence rates of cancer in asymptomatic individuals undergoing WB-MRI according t...

    Authors: Yong-Sin Hu, Chia-An Wu, Dao-Chen Lin, Po-Wei Lin, Han-Jui Lee, Lo-Yi Lin and Chung-Jung Lin
    Citation: Cancer Imaging 2024 24:22
  45. I-131 treatment (RAI) decision relies heavily on serum thyroglobulin (Tg) levels, as higher Tg levels are assumed to be correlated with higher I-131 uptake. Tg elevation, negative iodine scintigraphy (TENIS) d...

    Authors: Sang Hyun Hwang, KwanHyeong Jo, Jongtae Cha, Chun Goo Kang, Jiyoung Wang, Hojin Cho, Won Jun Kang and Arthur Cho
    Citation: Cancer Imaging 2024 24:21
  46. The present study utilized extracted computed tomography radiomics features to classify the gross tumor volume and normal liver tissue in hepatocellular carcinoma by mainstream machine learning methods, aiming...

    Authors: Huai-wen Zhang, De-long Huang, Yi-ren Wang, Hao-shu Zhong and Hao-wen Pang
    Citation: Cancer Imaging 2024 24:20
  47. Vascular features are not commonly used to evaluate thyroid nodules by conventional ultrasound due to the low sensitivity. Superb Microvascular Imaging (SMI) is a new ultrasonic Doppler technology that special...

    Authors: Wanying Li, Luying Gao, Yiyan Du, Ying Wang, Xiao Yang, Hongyan Wang and Jianchu Li
    Citation: Cancer Imaging 2024 24:18
  48. More than 40% of patients with resectable esophageal squamous cell cancer (ESCC) achieve pathological complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT), who have favorable prognosis and may be...

    Authors: Yunsong Liu, Yi Wang, Xin Wang, Liyan Xue, Huan Zhang, Zeliang Ma, Heping Deng, Zhaoyang Yang, Xujie Sun, Yu Men, Feng Ye, Kuo Men, Jianjun Qin, Nan Bi, Qifeng Wang and Zhouguang Hui
    Citation: Cancer Imaging 2024 24:16

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