Cargando…
Predicting Model of Biochemical Recurrence of Prostate Carcinoma (PCa-BCR) Using MR Perfusion-Weighted Imaging-Based Radiomics
OBJECTIVE: To build a combined model that integrates clinical data, contrast-enhanced ultrasound, and magnetic resonance perfusion-weighted imaging-based radiomics for predicting the possibility of biochemical recurrence of prostate carcinoma and develop a nomogram tool. METHOD: We retrospectively a...
Autores principales: | An, Peng, Lin, Yong, Hu, Yan, Qin, Ping, Ye, YingJian, Gu, Weiping, Li, Xiumei, Song, Ping, Feng, Guoyan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10084547/ https://www.ncbi.nlm.nih.gov/pubmed/37016971 http://dx.doi.org/10.1177/15330338231166766 |
Ejemplares similares
-
Prognostic Predicting Model of Pancreatic Body Tail Carcinoma Using Clinical and CT Radiomic Data
por: An, Peng, et al.
Publicado: (2023) -
Clinical Features and Computed Tomography Radiomics-Based Model for Predicting Pancreatic Ductal Adenocarcinoma and Focal Mass-Forming Pancreatitis
por: Ye, Yingjian, et al.
Publicado: (2023) -
Prediction of Prognosis of Tongue Squamous Cell Carcinoma Based on Clinical MR Imaging Data Modeling
por: Liu, Junjie, et al.
Publicado: (2023) -
Collecting Duct Carcinoma of the Kidney: A Single-Center
Retrospective Study of 23 Cases
por: Tang, Chaopeng, et al.
Publicado: (2023) -
Segmentation of Clinical Target Volume From CT Images for Cervical
Cancer Using Deep Learning
por: Huang, Mingxu, et al.
Publicado: (2023)