Radiologist-like artificial intelligence for grade group prediction of radical prostatectomy for reducing upgrading and downgrading from biopsy

Rationale: To reduce upgrading and downgrading between needle biopsy (NB) and radical prostatectomy (RP) by predicting patient-level Gleason grade groups (GGs) of RP to avoid over- and under-treatment. Methods: In this study, we retrospectively enrolled 575 patients from two medical institutions. Al...

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Detalles Bibliográficos
Autores principales: Shao, Lizhi, Yan, Ye, Liu, Zhenyu, Ye, Xiongjun, Xia, Haizhui, Zhu, Xuehua, Zhang, Yuting, Zhang, Zhiying, Chen, Huiying, He, Wei, Liu, Cheng, Lu, Min, Huang, Yi, Ma, Lulin, Sun, Kai, Zhou, Xuezhi, Yang, Guanyu, Lu, Jian, Tian, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2020
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481433/
https://www.ncbi.nlm.nih.gov/pubmed/32929343
http://dx.doi.org/10.7150/thno.48706

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481433/
https://www.ncbi.nlm.nih.gov/pubmed/32929343
http://dx.doi.org/10.7150/thno.48706

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