Georges Mjaess, Laura Haddad, Teddy Jabbour, Arthur Baudewyns, Henri-Alexandre Bourgeno, Yolène Lefebvre, Mariaconsiglia Ferriero, Giuseppe Simone, Alexandre Fourcade, Georges Fournier, Marco Oderda, Paolo Gontero, Adrian Bernal-Gomez, Alessandro Mastrorosa, Jean-Baptiste Roche, Rawad Abou Zahr, Guillaume Ploussard, Gaelle Fiard, Adam Halinski, Katerina Rysankova, Charles Dariane, Gina Delavar, Julien Anract, Nicolas Barry Delongchamps, Alexandre Patrick Bui, Fayek Taha, Olivier Windisch, Daniel Benamran, Gregoire Assenmacher, Jan Benijts, Karsten Guenzel, Thierry Roumeguère, Alexandre Peltier, Romain Diamand
{"title":"完善前列腺特异性抗原密度的临床相关临界值,对 PI-RADS 3 病变患者进行风险分层。","authors":"Georges Mjaess, Laura Haddad, Teddy Jabbour, Arthur Baudewyns, Henri-Alexandre Bourgeno, Yolène Lefebvre, Mariaconsiglia Ferriero, Giuseppe Simone, Alexandre Fourcade, Georges Fournier, Marco Oderda, Paolo Gontero, Adrian Bernal-Gomez, Alessandro Mastrorosa, Jean-Baptiste Roche, Rawad Abou Zahr, Guillaume Ploussard, Gaelle Fiard, Adam Halinski, Katerina Rysankova, Charles Dariane, Gina Delavar, Julien Anract, Nicolas Barry Delongchamps, Alexandre Patrick Bui, Fayek Taha, Olivier Windisch, Daniel Benamran, Gregoire Assenmacher, Jan Benijts, Karsten Guenzel, Thierry Roumeguère, Alexandre Peltier, Romain Diamand","doi":"10.1038/s41391-024-00872-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Prostate Imaging Reporting and Data System (PI-RADS) 3 lesions, identified through multiparametric magnetic resonance imaging (mpMRI), present a clinical challenge due to their equivocal nature in predicting clinically significant prostate cancer (csPCa). Aim of the study is to improve risk stratification of patients with PI-RADS 3 lesions and candidates for prostate biopsy.</p><p><strong>Methods: </strong>A cohort of 4841 consecutive patients who underwent MRI and subsequent MRI-targeted and systematic biopsies between January 2016 and April 2023 were retrospectively identified from independent prospectively maintained database. Only patients who have PI-RADS 3 lesions were included in the final analysis. A multivariable logistic regression analysis was performed to identify covariables associated with csPCa defined as International Society of Urological Pathology (ISUP) grade group ≥2. Performance of the model was evaluated using the area under the receiver operating characteristic curve (AUC), calibration, and net benefit. Significant predictors were then selected for further exploration using a Chi-squared Automatic Interaction Detection (CHAID) analysis.</p><p><strong>Results: </strong>Overall, 790 patients had PI-RADS 3 lesions and 151 (19%) had csPCa. Significant associations were observed for age (OR: 1.1 [1.0-1.1]; p = 0.01) and PSA density (OR: 1643 [2717-41,997]; p < 0.01). The CHAID analysis identified PSAd as the sole significant factor influencing the decision tree. Cut-offs for PSAd were 0.13 ng/ml/cc (csPCa detection rate of 1% vs. 18%) for the two-nodes model and 0.09 ng/ml/cc and 0.16 ng/ml/cc for the three-nodes model (csPCa detection rate of 0.5% vs. 2% vs. 17%).</p><p><strong>Conclusions: </strong>For individuals with PI-RADS 3 lesions on prostate mpMRI and a PSAd below 0.13, especially below 0.09, prostate biopsy can be omitted, in order to avoid unnecessary biopsy and overdiagnosis of non-csPCa.</p>","PeriodicalId":20727,"journal":{"name":"Prostate Cancer and Prostatic Diseases","volume":null,"pages":null},"PeriodicalIF":5.1000,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Refining clinically relevant cut-offs of prostate specific antigen density for risk stratification in patients with PI-RADS 3 lesions.\",\"authors\":\"Georges Mjaess, Laura Haddad, Teddy Jabbour, Arthur Baudewyns, Henri-Alexandre Bourgeno, Yolène Lefebvre, Mariaconsiglia Ferriero, Giuseppe Simone, Alexandre Fourcade, Georges Fournier, Marco Oderda, Paolo Gontero, Adrian Bernal-Gomez, Alessandro Mastrorosa, Jean-Baptiste Roche, Rawad Abou Zahr, Guillaume Ploussard, Gaelle Fiard, Adam Halinski, Katerina Rysankova, Charles Dariane, Gina Delavar, Julien Anract, Nicolas Barry Delongchamps, Alexandre Patrick Bui, Fayek Taha, Olivier Windisch, Daniel Benamran, Gregoire Assenmacher, Jan Benijts, Karsten Guenzel, Thierry Roumeguère, Alexandre Peltier, Romain Diamand\",\"doi\":\"10.1038/s41391-024-00872-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Prostate Imaging Reporting and Data System (PI-RADS) 3 lesions, identified through multiparametric magnetic resonance imaging (mpMRI), present a clinical challenge due to their equivocal nature in predicting clinically significant prostate cancer (csPCa). Aim of the study is to improve risk stratification of patients with PI-RADS 3 lesions and candidates for prostate biopsy.</p><p><strong>Methods: </strong>A cohort of 4841 consecutive patients who underwent MRI and subsequent MRI-targeted and systematic biopsies between January 2016 and April 2023 were retrospectively identified from independent prospectively maintained database. Only patients who have PI-RADS 3 lesions were included in the final analysis. A multivariable logistic regression analysis was performed to identify covariables associated with csPCa defined as International Society of Urological Pathology (ISUP) grade group ≥2. Performance of the model was evaluated using the area under the receiver operating characteristic curve (AUC), calibration, and net benefit. Significant predictors were then selected for further exploration using a Chi-squared Automatic Interaction Detection (CHAID) analysis.</p><p><strong>Results: </strong>Overall, 790 patients had PI-RADS 3 lesions and 151 (19%) had csPCa. Significant associations were observed for age (OR: 1.1 [1.0-1.1]; p = 0.01) and PSA density (OR: 1643 [2717-41,997]; p < 0.01). The CHAID analysis identified PSAd as the sole significant factor influencing the decision tree. Cut-offs for PSAd were 0.13 ng/ml/cc (csPCa detection rate of 1% vs. 18%) for the two-nodes model and 0.09 ng/ml/cc and 0.16 ng/ml/cc for the three-nodes model (csPCa detection rate of 0.5% vs. 2% vs. 17%).</p><p><strong>Conclusions: </strong>For individuals with PI-RADS 3 lesions on prostate mpMRI and a PSAd below 0.13, especially below 0.09, prostate biopsy can be omitted, in order to avoid unnecessary biopsy and overdiagnosis of non-csPCa.</p>\",\"PeriodicalId\":20727,\"journal\":{\"name\":\"Prostate Cancer and Prostatic Diseases\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2024-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Prostate Cancer and Prostatic Diseases\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41391-024-00872-6\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Prostate Cancer and Prostatic Diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41391-024-00872-6","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Refining clinically relevant cut-offs of prostate specific antigen density for risk stratification in patients with PI-RADS 3 lesions.
Background: Prostate Imaging Reporting and Data System (PI-RADS) 3 lesions, identified through multiparametric magnetic resonance imaging (mpMRI), present a clinical challenge due to their equivocal nature in predicting clinically significant prostate cancer (csPCa). Aim of the study is to improve risk stratification of patients with PI-RADS 3 lesions and candidates for prostate biopsy.
Methods: A cohort of 4841 consecutive patients who underwent MRI and subsequent MRI-targeted and systematic biopsies between January 2016 and April 2023 were retrospectively identified from independent prospectively maintained database. Only patients who have PI-RADS 3 lesions were included in the final analysis. A multivariable logistic regression analysis was performed to identify covariables associated with csPCa defined as International Society of Urological Pathology (ISUP) grade group ≥2. Performance of the model was evaluated using the area under the receiver operating characteristic curve (AUC), calibration, and net benefit. Significant predictors were then selected for further exploration using a Chi-squared Automatic Interaction Detection (CHAID) analysis.
Results: Overall, 790 patients had PI-RADS 3 lesions and 151 (19%) had csPCa. Significant associations were observed for age (OR: 1.1 [1.0-1.1]; p = 0.01) and PSA density (OR: 1643 [2717-41,997]; p < 0.01). The CHAID analysis identified PSAd as the sole significant factor influencing the decision tree. Cut-offs for PSAd were 0.13 ng/ml/cc (csPCa detection rate of 1% vs. 18%) for the two-nodes model and 0.09 ng/ml/cc and 0.16 ng/ml/cc for the three-nodes model (csPCa detection rate of 0.5% vs. 2% vs. 17%).
Conclusions: For individuals with PI-RADS 3 lesions on prostate mpMRI and a PSAd below 0.13, especially below 0.09, prostate biopsy can be omitted, in order to avoid unnecessary biopsy and overdiagnosis of non-csPCa.
期刊介绍:
Prostate Cancer and Prostatic Diseases covers all aspects of prostatic diseases, in particular prostate cancer, the subject of intensive basic and clinical research world-wide. The journal also reports on exciting new developments being made in diagnosis, surgery, radiotherapy, drug discovery and medical management.
Prostate Cancer and Prostatic Diseases is of interest to surgeons, oncologists and clinicians treating patients and to those involved in research into diseases of the prostate. The journal covers the three main areas - prostate cancer, male LUTS and prostatitis.
Prostate Cancer and Prostatic Diseases publishes original research articles, reviews, topical comment and critical appraisals of scientific meetings and the latest books. The journal also contains a calendar of forthcoming scientific meetings. The Editors and a distinguished Editorial Board ensure that submitted articles receive fast and efficient attention and are refereed to the highest possible scientific standard. A fast track system is available for topical articles of particular significance.