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Development and external validation of a novel nomogram to predict prostate cancer in biopsy‐naïve patients with PSA <10 ng/ml and PI‐RADS v2.1 = 3 lesions
OBJECTIVE: To develop and externally validate a novel nomogram in biopsy‐naïve patients with prostate‐specific antigen (PSA) <10 ng/ml and PI‐RADS v2.1 = 3 lesions. METHODS: We retrospectively collected 307 men that underwent initial biopsy from October 2015 to January 2022 in Cohort 1 (The First...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9939143/ https://www.ncbi.nlm.nih.gov/pubmed/35920264 http://dx.doi.org/10.1002/cam4.5100 |
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author | Hu, Can Sun, Jiale Xu, Zhenyu Zhang, Zhiyu Zhou, Qi Xu, Jiangnan Chen, Hao Wang, Chao Ouyang, Jun |
author_facet | Hu, Can Sun, Jiale Xu, Zhenyu Zhang, Zhiyu Zhou, Qi Xu, Jiangnan Chen, Hao Wang, Chao Ouyang, Jun |
author_sort | Hu, Can |
collection | PubMed |
description | OBJECTIVE: To develop and externally validate a novel nomogram in biopsy‐naïve patients with prostate‐specific antigen (PSA) <10 ng/ml and PI‐RADS v2.1 = 3 lesions. METHODS: We retrospectively collected 307 men that underwent initial biopsy from October 2015 to January 2022 in Cohort 1 (The First Affiliated Hospital of Soochow University). External cohort (Cohort 2, Kunshan Hospital) included 109 men that met our criteria from July 2016 to June 2021. By Slicer‐3D Software, the volume of all lesions was divided into two subgroups (PI‐RADS v2.1 = 3a and 3b). Logistic regression analysis was performed to screen for variables and construct nomogram by analyzing clinical data from Cohort 1. Receiver operating characteristics curve analysis, calibration plot and decision curve analysis (DCA) were plotted to validate the nomogram in external cohort. RESULTS: A total of 70 (22.8%) patients was diagnosed with prostate cancer in Institution 1. Among them, 34 (11.1%) had clinically significant prostate cancer (csPCa). Age, prostate‐specific antigen density, digital rectal examination, PI‐RADS v2.1 = 3 subgroups (3a and 3b) and apparent diffusion coefficient (ADC, <750 mm(2)/s) were predictive factors for prostate cancer (PCa) and csPCa. High area under the curve of the nomogram was found in Cohort 1 and Cohort 2 for PCa (0.857 vs. 0.850) and for csPCa (0.896 vs. 0.893). Calibration curves showed excellent agreement between the predicted probability and actual risk for the models in internal and external validation. The DCA demonstrated net benefit of our nomogram. CONCLUSION: Until now, this is the first nomogram that predicts PCa and csPCa in biopsy‐naïve patients with PSA <10 ng/ml and PI‐RADS v2.1 = 3 lesions. Furthermore, PI‐RADS v2.1 = 3 subgroups were considered to be an independent risk factor in our model. Our nomogram may assist urologists in biopsy decision making for these so‐called “double gray zone” patients. |
format | Online Article Text |
id | pubmed-9939143 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99391432023-02-20 Development and external validation of a novel nomogram to predict prostate cancer in biopsy‐naïve patients with PSA <10 ng/ml and PI‐RADS v2.1 = 3 lesions Hu, Can Sun, Jiale Xu, Zhenyu Zhang, Zhiyu Zhou, Qi Xu, Jiangnan Chen, Hao Wang, Chao Ouyang, Jun Cancer Med RESEARCH ARTICLES OBJECTIVE: To develop and externally validate a novel nomogram in biopsy‐naïve patients with prostate‐specific antigen (PSA) <10 ng/ml and PI‐RADS v2.1 = 3 lesions. METHODS: We retrospectively collected 307 men that underwent initial biopsy from October 2015 to January 2022 in Cohort 1 (The First Affiliated Hospital of Soochow University). External cohort (Cohort 2, Kunshan Hospital) included 109 men that met our criteria from July 2016 to June 2021. By Slicer‐3D Software, the volume of all lesions was divided into two subgroups (PI‐RADS v2.1 = 3a and 3b). Logistic regression analysis was performed to screen for variables and construct nomogram by analyzing clinical data from Cohort 1. Receiver operating characteristics curve analysis, calibration plot and decision curve analysis (DCA) were plotted to validate the nomogram in external cohort. RESULTS: A total of 70 (22.8%) patients was diagnosed with prostate cancer in Institution 1. Among them, 34 (11.1%) had clinically significant prostate cancer (csPCa). Age, prostate‐specific antigen density, digital rectal examination, PI‐RADS v2.1 = 3 subgroups (3a and 3b) and apparent diffusion coefficient (ADC, <750 mm(2)/s) were predictive factors for prostate cancer (PCa) and csPCa. High area under the curve of the nomogram was found in Cohort 1 and Cohort 2 for PCa (0.857 vs. 0.850) and for csPCa (0.896 vs. 0.893). Calibration curves showed excellent agreement between the predicted probability and actual risk for the models in internal and external validation. The DCA demonstrated net benefit of our nomogram. CONCLUSION: Until now, this is the first nomogram that predicts PCa and csPCa in biopsy‐naïve patients with PSA <10 ng/ml and PI‐RADS v2.1 = 3 lesions. Furthermore, PI‐RADS v2.1 = 3 subgroups were considered to be an independent risk factor in our model. Our nomogram may assist urologists in biopsy decision making for these so‐called “double gray zone” patients. John Wiley and Sons Inc. 2022-08-03 /pmc/articles/PMC9939143/ /pubmed/35920264 http://dx.doi.org/10.1002/cam4.5100 Text en © 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | RESEARCH ARTICLES Hu, Can Sun, Jiale Xu, Zhenyu Zhang, Zhiyu Zhou, Qi Xu, Jiangnan Chen, Hao Wang, Chao Ouyang, Jun Development and external validation of a novel nomogram to predict prostate cancer in biopsy‐naïve patients with PSA <10 ng/ml and PI‐RADS v2.1 = 3 lesions |
title | Development and external validation of a novel nomogram to predict prostate cancer in biopsy‐naïve patients with PSA <10 ng/ml and PI‐RADS v2.1 = 3 lesions |
title_full | Development and external validation of a novel nomogram to predict prostate cancer in biopsy‐naïve patients with PSA <10 ng/ml and PI‐RADS v2.1 = 3 lesions |
title_fullStr | Development and external validation of a novel nomogram to predict prostate cancer in biopsy‐naïve patients with PSA <10 ng/ml and PI‐RADS v2.1 = 3 lesions |
title_full_unstemmed | Development and external validation of a novel nomogram to predict prostate cancer in biopsy‐naïve patients with PSA <10 ng/ml and PI‐RADS v2.1 = 3 lesions |
title_short | Development and external validation of a novel nomogram to predict prostate cancer in biopsy‐naïve patients with PSA <10 ng/ml and PI‐RADS v2.1 = 3 lesions |
title_sort | development and external validation of a novel nomogram to predict prostate cancer in biopsy‐naïve patients with psa <10 ng/ml and pi‐rads v2.1 = 3 lesions |
topic | RESEARCH ARTICLES |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9939143/ https://www.ncbi.nlm.nih.gov/pubmed/35920264 http://dx.doi.org/10.1002/cam4.5100 |
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