Cancer Imaging

Cancer Imaging

癌症成像

  • 2区 中科院分区
  • Q1 JCR分区

期刊简介

《Cancer Imaging》是由BioMed Central出版社于2000年创办的英文国际期刊(ISSN: 1470-7330,E-ISSN: 1470-7330),该期刊长期致力于肿瘤学领域的创新研究,主要研究方向为ONCOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING。作为SCIE收录期刊(JCR分区 Q1,中科院 2区),本刊采用OA开放获取模式(OA占比1%),以发表肿瘤学领域等方向的原创性研究为核心(研究类文章占比95.90%%)。凭借严格的同行评审与高效编辑流程,期刊年载文量精选控制在122篇,确保学术质量与前沿性。成果覆盖Web of Science、Scopus等国际权威数据库,为学者提供推动医学领域高水平交流平台。

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投稿提示

Cancer Imaging审稿周期约为 12周,或约稿 。该刊近年未被列入国际预警名单,年发文量约122篇,录用竞争适中,主题需确保紧密契合医学前沿。投稿策略提示:避开学术会议旺季投稿以缩短周期,语言建议专业润色提升可读性。

  • 医学 大类学科
  • English 出版语言
  • 是否预警
  • SCIE 期刊收录
  • 122 发文量

中科院分区

中科院 SCI 期刊分区 2023年12月升级版

Top期刊 综述期刊 大类学科 小类学科
医学
2区
ONCOLOGY 肿瘤学 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学
2区 2区

中科院 SCI 期刊分区 2022年12月升级版

Top期刊 综述期刊 大类学科 小类学科
医学
2区
ONCOLOGY 肿瘤学 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学
2区 2区

JCR分区

按JIF指标学科分区 收录子集 分区 排名 百分位
学科:ONCOLOGY SCIE Q2 107 / 322

66.9%

学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING SCIE Q1 38 / 204

81.6%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:ONCOLOGY SCIE Q1 78 / 322

75.93%

学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING SCIE Q1 42 / 204

79.66%

CiteScore

CiteScore SJR SNIP CiteScore 排名
CiteScore:7 SJR:1.227 SNIP:1.416
学科类别 分区 排名 百分位
大类:Medicine 小类:Radiology, Nuclear Medicine and Imaging Q1 48 / 333

85%

大类:Medicine 小类:Radiological and Ultrasound Technology Q1 13 / 63

80%

大类:Medicine 小类:Oncology Q1 99 / 404

75%

期刊发文

  • Variability of radiotherapy volume delineation: PSMA PET/MRI and MRI based clinical target volume and lymph node target volume for high-risk prostate cancer

    Author: Liu, Lin-Lin; Zhu, Lei-Lei; Lu, Zhen-Guo; Sun, Jun-Die; Zhao, Jun; Wang, Hai-Feng; Xiang, Zuo-Lin

    Journal: CANCER IMAGING. 2023; Vol. 23, Issue 1, pp. -. DOI: 10.1186/s40644-022-00518-7

  • Amide Proton Transfer-weighted MRI combined with serum prostate-specific antigen levels for differentiating malignant prostate lesions from benign prostate lesions: a retrospective cohort study

    Author: Yang, Lu; Wang, Lei; Tan, Yuchuan; Dan, Hanli; Xian, Peng; Zhang, Yipeng; Tan, Yong; Lin, Meng; Zhang, Jiuquan

    Journal: CANCER IMAGING. 2023; Vol. 23, Issue 1, pp. -. DOI: 10.1186/s40644-022-00515-w

  • Associations of muscle and adipose tissue parameters with long-term outcomes in middle and low rectal cancer: a retrospective cohort study

    Author: Liu, Jiyang; Yu, Xiongfeng; Huang, Xueqing; Lai, Qingquan; Chen, Jieyun

    Journal: CANCER IMAGING. 2023; Vol. 23, Issue 1, pp. -. DOI: 10.1186/s40644-022-00514-x

  • Semiautomated pelvic lymph node treatment response evaluation for patients with advanced prostate cancer: based on MET-RADS-P guidelines

    Author: Liu, Xiang; Zhu, Zemin; Wang, Kexin; Zhang, Yaofeng; Li, Jialun; Wang, Xiangpeng; Zhang, Xiaodong; Wang, Xiaoying

    Journal: CANCER IMAGING. 2023; Vol. 23, Issue 1, pp. -. DOI: 10.1186/s40644-023-00523-4

  • Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique

    Author: Hu, Lei; Fu, Caixia; Song, Xinyang; Grimm, Robert; Von Busch, Heinrich; Benkert, Thomas; Kamen, Ali; Lou, Bin; Huisman, Henkjan; Tong, Angela; Penzkofer, Tobias; Choi, Moon Hyung; Shabunin, Ivan; Winkel, David; Xing, Pengyi; Szolar, Dieter; Coakley, Fergus; Shea, Steven; Szurowska, Edyta; Guo, Jing-yi; Li, Liang; Li, Yue-hua; Zhao, Jun-gong

    Journal: CANCER IMAGING. 2023; Vol. 23, Issue 1, pp. -. DOI: 10.1186/s40644-023-00527-0

  • Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective as CT?

    Author: Yang, Panpan; Mao, Kuanzheng; Gao, Yisha; Wang, Zhen; Wang, Jun; Chen, Yufei; Ma, Chao; Bian, Yun; Shao, Chengwei; Lu, Jianping

    Journal: CANCER IMAGING. 2023; Vol. 23, Issue 1, pp. -. DOI: 10.1186/s40644-023-00528-z

  • Nomogram based on spectral CT quantitative parameters and typical radiological features for distinguishing benign from malignant thyroid micro-nodules

    Author: Song, Zuhua; Li, Qian; Zhang, Dan; Li, Xiaojiao; Yu, Jiayi; Liu, Qian; Li, Zongwen; Huang, Jie; Zhang, Xiaodi; Tang, Zhuoyue

    Journal: CANCER IMAGING. 2023; Vol. 23, Issue 1, pp. -. DOI: 10.1186/s40644-023-00525-2

  • Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued

    Author: Li, Song; Wan, Xia; Deng, Yu-Qin; Hua, Hong-Li; Li, Sheng-Lan; Chen, Xi-Xiang; Zeng, Man-Li; Zha, Yunfei; Tao, Ze-Zhang

    Journal: CANCER IMAGING. 2023; Vol. 23, Issue 1, pp. -. DOI: 10.1186/s40644-023-00530-5