Development and validation of a nomogram prediction model for clinically significant prostate cancer combined with PI-RADS V2.1, MRI quantitative parameters and clinical indicators: a two-center study
Models 1 and 2 had reliable, efficient and visual predictive value for CSPCa. The ADCmean is an important predictive indicator.
Authors
- Juan Hu (ORCID: https://orcid.org/0000-0003-0669-3146)
- Li Qingqing
- Xie Wei
- Yang Yaying
- Chao Peng (ORCID: https://orcid.org/0000-0002-1994-2087)
- Lei Zhao (ORCID: https://orcid.org/0000-0002-3470-9101)
- Wei Zhao (ORCID: https://orcid.org/0000-0002-5811-1710)
- Yunhui Chen (ORCID: https://orcid.org/0000-0002-4048-7760)
- Liu Xiao-dong
- Peng Gu (ORCID: https://orcid.org/0000-0002-4126-485X)
- Yu Cui
- Tuo xiaoyu
- Ling Bingbing
- Ji Wenqing
- Gao Kexian
- Zheng Linglin
- Zhu Yun
- Long Yan
- Hu Jihong
- Jiang Xianmei
- Gu Heyi
- Dong Yanwen
- Dong Shicun
- Gao Chao
Institutions
- Kunming Medical University (CN)
- First Affiliated Hospital of Kunming Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-11-22
- DOI
- https://doi.org/10.3389/fonc.2024.1467793
- Citations
- 1
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.42