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  1. 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
    Content type: Research article Published on:

  2. 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
    Content type: Research article Published on:

  3. 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
    Content type: Correction Published on:

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

  4. 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
    Content type: Research article Published on:

  5. 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
    Content type: Research article Published on:

  6. 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
    Content type: Research article Published on:

  7. 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
    Content type: Research article Published on:

  8. 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
    Content type: Research article Published on:

  9. 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
    Content type: Research article Published on:

  10. 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
    Content type: Research article Published on:

  11. 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
    Content type: Research article Published on:

  12. 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
    Content type: Research article Published on:

  13. 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
    Content type: Review Published on:

  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
    Content type: Research article Published on:

  15. 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
    Content type: Research Published on:

  16. 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
    Content type: Research article Published on:

  17. 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
    Content type: Research article Published on:

  18. 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
    Content type: Research article Published on:

  19. 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
    Content type: Research article Published on:

  21. 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
    Content type: Research article Published on:

  22. 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
    Content type: Research article Published on:

  23. 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
    Content type: Research Published on:

  24. 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
    Content type: Research article Published on:

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Cancer Imaging

ISSN: 1470-7330

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