Cargando…
MRI-Based Nomogram of Prostate Maximum Sectional Area and Its Zone Area for Prediction of Prostate Cancer
OBJECTIVE: To reduce unnecessary prostate biopsies, we designed a magnetic resonance imaging (MRI)-based nomogram prediction model of prostate maximum sectional area (PA) and investigated its zone area for diagnosing prostate cancer (PCa). METHODS: MRI was administered to 691 consecutive patients be...
Autores principales: | Jiang, Shaoqin, Huang, Zhangcheng, Liu, Bingqiao, Chen, Zhenlin, Xu, Yue, Zheng, Wenzhong, Wen, Yaoan, Li, Mengqiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458948/ https://www.ncbi.nlm.nih.gov/pubmed/34568034 http://dx.doi.org/10.3389/fonc.2021.708730 |
Ejemplares similares
-
The roles of MRI-based prostate volume and associated zone-adjusted prostate-specific antigen concentrations in predicting prostate cancer and high-risk prostate cancer
por: Zheng, Song, et al.
Publicado: (2019) -
Transverse prostate maximum sectional area can predict clinically significant prostate cancer in PI-RADS 3 lesions at multiparametric magnetic resonance imaging
por: Gaudiano, Caterina, et al.
Publicado: (2023) -
Establishment of an Individualized Predictive Model to Reduce the Core Number for Systematic Prostate Biopsy: A Dual Center Study Based on Stratification of the Disease Risk Score
por: Chen, Zeyu, et al.
Publicado: (2022) -
Development of a novel nomogram for predicting clinically significant prostate cancer with the prostate health index and multiparametric MRI
por: Mo, Li-Cai, et al.
Publicado: (2022) -
Multi-omics analysis of tumor angiogenesis characteristics and potential epigenetic regulation mechanisms in renal clear cell carcinoma
por: Zheng, Wenzhong, et al.
Publicado: (2021)