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MRI-derived radiomics analysis improves the noninvasive pretreatment identification of multimodality therapy candidates with early-stage cervical cancer.
Li, Yuan; Ren, Jing; Yang, Jun-Jun; Cao, Ying; Xia, Chen; Lee, Elaine Y P; Chen, Bo; Guan, Hui; Qi, Ya-Fei; Gao, Xin; Tang, Wen; Chen, Kuan; Jin, Zheng-Yu; He, Yong-Lan; Xiang, Yang; Xue, Hua-Dan.
Affiliation
  • Li Y; Department of OB&GYN, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
  • Ren J; Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
  • Yang JJ; Department of OB&GYN, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
  • Cao Y; Beijing Infervision Technology Co., Ltd. 100000, Beijing, People's Republic of China.
  • Xia C; Beijing Infervision Technology Co., Ltd. 100000, Beijing, People's Republic of China.
  • Lee EYP; Department of Diagnostic Radiology, Queen Mary Hospital, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong SAR.
  • Chen B; Department of Pathology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
  • Guan H; Department of Radiotherapy, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
  • Qi YF; Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
  • Gao X; Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
  • Tang W; Beijing Infervision Technology Co., Ltd. 100000, Beijing, People's Republic of China.
  • Chen K; Beijing Infervision Technology Co., Ltd. 100000, Beijing, People's Republic of China.
  • Jin ZY; Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
  • He YL; Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China. heyonglan@pumch.cn.
  • Xiang Y; Department of OB&GYN, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China. XiangY@pumch.cn.
  • Xue HD; Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Eur Radiol ; 32(6): 3985-3995, 2022 Jun.
Article in En | MEDLINE | ID: mdl-35018480
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Uterine Cervical Neoplasms Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2022 Document type: Article Country of publication: Germany
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Uterine Cervical Neoplasms Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2022 Document type: Article Country of publication: Germany