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Cancer Imaging

Published By BMC

  • LATEST MANUSCRIPTS IN Cancer Imaging
  • Jeong Hee Yoon, Jin Young Park, Sang Min Lee, Eun Sun Lee, Jae Hyun Kim, Jeong Min Lee. Renal protection CT protocol using low-dose and low-concentration iodine contrast medium in at-risk patients of HCC and with chronic kidney disease: a randomized controlled non-inferiority trial. Cancer imaging : the official publication of the International Cancer Imaging Society. 2023, 23 (1): 100
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  • Runsheng Chang, Shouliang Qi, Yanan Wu, Yong Yue, Xiaoye Zhang, Wei Qian. Nomograms integrating CT radiomic and deep learning signatures to predict overall survival and progression-free survival in NSCLC patients treated with chemotherapy. Cancer imaging : the official publication of the International Cancer Imaging Society. 2023, 23 (1): 101
    Cited : 1
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  • Yun Hwa Roh, Ji Eun Park, Sora Kang, Shinkyo Yoon, Sang-We Kim, Ho Sung Kim. Prognostic value of MRI volumetric parameters in non-small cell lung cancer patients after immune checkpoint inhibitor therapy: comparison with response assessment criteria. Cancer imaging : the official publication of the International Cancer Imaging Society. 2023, 23 (1): 102
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  • Liyuan Zhang, Yang Yang, Ting Wang, Xi Chen, Mingyue Tang, Junnan Deng, Zhen Cai, Wei Cui. Intratumoral and peritumoral MRI-based radiomics prediction of histopathological grade in soft tissue sarcomas: a two-center study. Cancer imaging : the official publication of the International Cancer Imaging Society. 2023, 23 (1): 103
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  • Hyunjong Lee, Seung Hyup Hyun, Young Seok Cho, Seung Hwan Moon, Joon Young Choi, Kihyun Kim, Kyung-Han Lee. Semi-quantitative FDG parameters predict survival in multiple myeloma patients without autologous stem cell transplantation. Cancer imaging : the official publication of the International Cancer Imaging Society. 2023, 23 (1): 104
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  • Yin Li, Kaiyi Zheng, Shuang Li, Yongju Yi, Min Li, Yufan Ren, Congyue Guo, Liming Zhong, Wei Yang, Xinming Li, Lin Yao. A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas. Cancer imaging : the official publication of the International Cancer Imaging Society. 2023, 23 (1): 105
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  • 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, Linqi Zhang. Head-to-head comparison of F-FAPI and F-FDG PET/CT in staging and therapeutic management of hepatocellular carcinoma. Cancer imaging : the official publication of the International Cancer Imaging Society. 2023, 23 (1): 106
    Cited : 1
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  • Jasleen Kaur, Guangliang Ding, Li Zhang, Yong Lu, Hao Luo, Lian Li, Edward Boyd, Qingjiang Li, Min Wei, Zhenggang Zhang, Michael Chopp, Quan Jiang. Imaging glymphatic response to glioblastoma. Cancer imaging : the official publication of the International Cancer Imaging Society. 2023, 23 (1): 107
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  • Liang Luo, Anqi Zheng, Ruxi Chang, Yunxuan Li, Jungang Gao, Zhuonan Wang, Xiaoyi Duan. Evaluating the value of F-PSMA-1007 PET/CT in the detection and identification of prostate cancer using histopathology as the standard. Cancer imaging : the official publication of the International Cancer Imaging Society. 2023, 23 (1): 108
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  • Yin-Kai Chao, Chun-Bi Chang, Yu-Chuan Chang, Sheng-Chieh Chan, Chien-Hung Chiu, Shu-Hang Ng, Jason Chia-Hsun Hsieh, Jen-Hung Wang. Baseline and interim [18F]FDG-PET/MRI to assess treatment response and survival in patients with M0 esophageal squamous cell carcinoma treated by curative-intent therapy. Cancer imaging : the official publication of the International Cancer Imaging Society. 2023, 23 (1): 109
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  • Sungmin Woo, Anton S Becker, Jeeban P Das, Soleen Ghafoor, Yuki Arita, Nicole Benfante, Natalie Gangai, Min Yuen Teo, Alvin C Goh, Hebert A Vargas. Evaluating residual tumor after neoadjuvant chemotherapy for muscle-invasive urothelial bladder cancer: diagnostic performance and outcomes using biparametric vs. multiparametric MRI. Cancer imaging : the official publication of the International Cancer Imaging Society. 2023, 23 (1): 110
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  • Francisco Carrillo-Perez, Francisco M Ortuno, Alejandro Börjesson, Ignacio Rojas, Luis Javier Herrera. Correction: Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection. Cancer imaging : the official publication of the International Cancer Imaging Society. 2023, 23 (1): 111
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  • Zhong-Jian Liao, Lun Lu, Yi-Ping Liu, Geng-Geng Qin, Cun-Geng Fan, Yan-Ping Liu, Ning-Yang Jia, Ling Zhang. Clinical and DCE-CT signs in predicting microvascular invasion in cHCC-ICC. Cancer imaging : the official publication of the International Cancer Imaging Society. 2023, 23 (1): 112
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  • Qianyu Peng, Lili Xu, Gumuyang Zhang, Daming Zhang, Jiahui Zhang, Xiaoxiao Zhang, Xin Bai, Li Chen, Zhengyu Jin, Hao Sun. Effect of preoperative PI-RADS assessment on pathological outcomes in patients who underwent radical prostatectomy. Cancer imaging : the official publication of the International Cancer Imaging Society. 2023, 23 (1): 113
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  • 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, Akihide Tanimoto, Takashi Iwanaga, Hiroshi Imai, Thorsten Feiweier, Takashi Yoshiura. Differentiating primary central nervous system lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient. Cancer imaging : the official publication of the International Cancer Imaging Society. 2023, 23 (1): 114
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