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Preoperatively Predicting Ki67 Expression in Pituitary Adenomas Using Deep Segmentation Network and Radiomics Analysis Based on Multiparameter MRI.
Li, Hongxia; Liu, Zhiling; Li, Fuyan; Shi, Feng; Xia, Yuwei; Zhou, Qing; Zeng, Qingshi.
Affiliation
  • Li H; Department of Radiology, The Second Hospital of Shandong University, Jinan 250033, China (H.L.).
  • Liu Z; Department of Radiology, Shandong Provincial Hospital, Shandong University, Jinan 250098, China (Z.L.).
  • Li F; Department of Radiology, Shandong Medical Imaging Research Institute, Jinan 250021, China (F.L.).
  • Shi F; Shanghai United Imaging Intelligence, Co., Ltd., 701 Yunjin Road, Xuhui District, Shanghai 200030, China (F.S., Y.X., Q.Z.).
  • Xia Y; Shanghai United Imaging Intelligence, Co., Ltd., 701 Yunjin Road, Xuhui District, Shanghai 200030, China (F.S., Y.X., Q.Z.).
  • Zhou Q; Shanghai United Imaging Intelligence, Co., Ltd., 701 Yunjin Road, Xuhui District, Shanghai 200030, China (F.S., Y.X., Q.Z.).
  • Zeng Q; Department of Radiology, Shandong Provincial Qianfoshan Hospital, Shandong University, No.16766 Jingshi Road, Jinan 250013, China (Q.Z.). Electronic address: zengqingshi@sina.com.
Acad Radiol ; 31(2): 617-627, 2024 Feb.
Article in En | MEDLINE | ID: mdl-37330356

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pituitary Neoplasms / Adenoma Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Acad Radiol Journal subject: RADIOLOGIA Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pituitary Neoplasms / Adenoma Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Acad Radiol Journal subject: RADIOLOGIA Year: 2024 Document type: Article