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...

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Detalles Bibliográficos
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:
Biomedical Advances in Cancer Detection, Diagnosis, and Treatment
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10084547/
https://www.ncbi.nlm.nih.gov/pubmed/37016971
http://dx.doi.org/10.1177/15330338231166766

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