Insights into Imaging (Mar 2023)
Development and clinical utility analysis of a prostate zonal segmentation model on T2-weighted imaging: a multicenter study
- Lili Xu,
- Gumuyang Zhang,
- Daming Zhang,
- Jiahui Zhang,
- Xiaoxiao Zhang,
- Xin Bai,
- Li Chen,
- Qianyu Peng,
- Ru Jin,
- Li Mao,
- Xiuli Li,
- Zhengyu Jin,
- Hao Sun
Affiliations
- Lili Xu
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences
- Gumuyang Zhang
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences
- Daming Zhang
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences
- Jiahui Zhang
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences
- Xiaoxiao Zhang
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences
- Xin Bai
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences
- Li Chen
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences
- Qianyu Peng
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences
- Ru Jin
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences
- Li Mao
- AI Lab, Deepwise Healthcare
- Xiuli Li
- AI Lab, Deepwise Healthcare
- Zhengyu Jin
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences
- Hao Sun
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences
- DOI
- https://doi.org/10.1186/s13244-023-01394-w
- Journal volume & issue
-
Vol. 14,
no. 1
pp. 1 – 11
Abstract
Key points The U-Net model showed a good performance for prostate zonal segmentation. The U-Net model outperformed the junior radiologist in peripheral zone segmentation. Prostate morphology and MR scanner parameters may affect the model’s performance.
Keywords
