Betty Wang, Tarik Benidir, Kristina Dortche, Jennifer Bullen, Zaeem Lone, Nour Abdallah, Martin Hofmann, Mohamed Eltemamy, Robert Abouassaly, Nima Almassi, Zeyad Schwen, Ruben Olivares, Andrei Purysko, Jane Nguyen, Georges-Pascal Haber, Jihad Kaouk, Eric Klein, Christopher J Weight, Alp Tuna Beksac
{"title":"IsoPSA density improves risk stratification and biopsy decision-making for clinically significant prostate cancer.","authors":"Betty Wang, Tarik Benidir, Kristina Dortche, Jennifer Bullen, Zaeem Lone, Nour Abdallah, Martin Hofmann, Mohamed Eltemamy, Robert Abouassaly, Nima Almassi, Zeyad Schwen, Ruben Olivares, Andrei Purysko, Jane Nguyen, Georges-Pascal Haber, Jihad Kaouk, Eric Klein, Christopher J Weight, Alp Tuna Beksac","doi":"10.1016/j.urolonc.2025.09.001","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate the diagnostic performance of IsoPSA density for detecting clinically significant prostate cancer (csCaP), and its utility in guiding biopsy decision-making.</p><p><strong>Materials and methods: </strong>We conducted a retrospective review of 574 patients who underwent IsoPSA testing, prostate MRI, and image-guided biopsy within 1 year. IsoPSA density was calculated as IsoPSA value divided by MRI-derived prostate volume. Multivariable logistic regression, receiver operating characteristic (ROC) analysis, and decision curve analysis were used to assess predictive value. Subgroup analyses were performed in patients with large prostates (>70 ml) and negative MRI (PI-RADS 1-2).</p><p><strong>Results: </strong>The overall prevalence of csCaP on biopsy was 33.8%. IsoPSA density was an independent predictor of csCaP and performed similarly to PSA density, while outperforming PSA and IsoPSA in ROC and decision curve analyses. In the full cohort, IsoPSA density achieved an AUC of 0.69 and demonstrated a high negative predictive value (NPV) of 79% at the optimal cutoff of 0.21. Among men with negative MRI (n = 238), an IsoPSA density threshold of 0.17 yielded an NPV of 97% and sensitivity of 85% for ruling out csCaP. In men with large prostates, higher IsoPSA density trended with increased csCaP risk, though not statistically significant.</p><p><strong>Conclusions: </strong>IsoPSA density performed comparably to PSA density and outperformed traditional clinical predictors of csCaP. In MRI-negative men, its high negative predictive value supports its use as a non-invasive tool to reduce unnecessary biopsies. IsoPSA density may serve as a valuable adjunct in contemporary prostate cancer diagnostic pathways and warrants further validation.</p>","PeriodicalId":23408,"journal":{"name":"Urologic Oncology-seminars and Original Investigations","volume":" ","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urologic Oncology-seminars and Original Investigations","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.urolonc.2025.09.001","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: To evaluate the diagnostic performance of IsoPSA density for detecting clinically significant prostate cancer (csCaP), and its utility in guiding biopsy decision-making.
Materials and methods: We conducted a retrospective review of 574 patients who underwent IsoPSA testing, prostate MRI, and image-guided biopsy within 1 year. IsoPSA density was calculated as IsoPSA value divided by MRI-derived prostate volume. Multivariable logistic regression, receiver operating characteristic (ROC) analysis, and decision curve analysis were used to assess predictive value. Subgroup analyses were performed in patients with large prostates (>70 ml) and negative MRI (PI-RADS 1-2).
Results: The overall prevalence of csCaP on biopsy was 33.8%. IsoPSA density was an independent predictor of csCaP and performed similarly to PSA density, while outperforming PSA and IsoPSA in ROC and decision curve analyses. In the full cohort, IsoPSA density achieved an AUC of 0.69 and demonstrated a high negative predictive value (NPV) of 79% at the optimal cutoff of 0.21. Among men with negative MRI (n = 238), an IsoPSA density threshold of 0.17 yielded an NPV of 97% and sensitivity of 85% for ruling out csCaP. In men with large prostates, higher IsoPSA density trended with increased csCaP risk, though not statistically significant.
Conclusions: IsoPSA density performed comparably to PSA density and outperformed traditional clinical predictors of csCaP. In MRI-negative men, its high negative predictive value supports its use as a non-invasive tool to reduce unnecessary biopsies. IsoPSA density may serve as a valuable adjunct in contemporary prostate cancer diagnostic pathways and warrants further validation.
期刊介绍:
Urologic Oncology: Seminars and Original Investigations is the official journal of the Society of Urologic Oncology. The journal publishes practical, timely, and relevant clinical and basic science research articles which address any aspect of urologic oncology. Each issue comprises original research, news and topics, survey articles providing short commentaries on other important articles in the urologic oncology literature, and reviews including an in-depth Seminar examining a specific clinical dilemma. The journal periodically publishes supplement issues devoted to areas of current interest to the urologic oncology community. Articles published are of interest to researchers and the clinicians involved in the practice of urologic oncology including urologists, oncologists, and radiologists.