ArticleProstate cancer and prostatic diseases2023
Optimizing detection of clinically significant prostate cancer through nomograms incorporating mri, clinical features, and advanced serum biomarkers in biopsy naïve men.
Article in Prostate cancer and prostatic diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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22 citing papers in PubMed, 31 citations in OpenAlex.
- Contrast-free MRI-first screening in young asymptomatic men: Prostate characteristics and cancer detection rates.Prostate cancer and prostatic diseases · 2026Article
- Comparing diagnostic prostate cancer biomarkers using a framework of clinically meaningful criteria.BJUI compass · 2026Article
- Article
- The performance of prostate-specific antigen density in long-term prostate cancer-mortality risk prediction.BJUI compass · 2026Article
- A rapid urinary test for combining PSA and zinc to enhance prostate cancer diagnosis: results from a prospective study.Prostate cancer and prostatic diseases · 2026Article
- Article
- Clarifying the clinical role of biparametric MRI: reflections on diagnostic equivalence and patient-level stratification.Prostate cancer and prostatic diseases · 2025Article
- Multivariable model integrating PHI and mpMRI for detecting csPCa in biopsy-naïve men.BJUI compass · 2025Article
- Redefining Prostate Cancer Precision: Radiogenomics, Theragnostics, and AI-Driven Biomarkers.Cancers · 2025Review
- Detection of clinically significant prostate cancer following initial omission of biopsy in multiparametric MRI era.Prostate cancer and prostatic diseases · 2025Article
- Prostate cancer detection: achieving an optimal balance.Prostate cancer and prostatic diseases · 2025Article
- Prostate magnetic resonance imaging to predict grade concordance, extra prostatic extension, and biochemical recurrence after radical prostatectomy.Urologic oncology · 2025Article
- Development and validation of biopsy free nomograms for predicting clinically significant prostate cancer in men with PI-RADS 4 and 5 lesions.Scientific reports · 2025Article
- MRI-based habitat analysis of vascular and nerve invasion in the tumor microenvironment: an advanced approach for prostate cancer diagnosis.Frontiers in oncology · 2025Article
- Utility of dynamic contrast enhancement for clinically significant prostate cancer detection.BJUI compass · 2024Article
- Prior Negative Biopsy, PSA Density, and Anatomic Location Impact Cancer Detection Rate of MRI-Targeted PI-RADS Index Lesions.Current oncology (Toronto, Ont.) · 2024Article
- A Scaled Proteomic Discovery Study for Prostate Cancer Diagnostic Markers Using ProteographInternational journal of molecular sciences · 2024Article
- A novel conditional survival nomogram for monitoring real-time prognosis of non-metastatic colorectal cancer.Discover oncology · 2024Article
- Index tumor location affected early biochemical recurrence after radical prostatectomy in patients with negative surgical margin: a retrospective study.BMC urology · 2024Article
- Comparison of Magnetic Resonance Imaging-Based Risk Calculators to Predict Prostate Cancer Risk.JAMA network open · 2024Article
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Authors and funding
18 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo develop nomograms that predict the detection of clinically significant prostate cancer (csPCa, defined as ≥GG2 [Grade Group 2]) at diagnostic biopsy based on multiparametric prostate MRI (mpMRI), serum biomarkers, and patient clinicodemographic features. MATERIALS AND
methodsNomograms were developed from a cohort of biopsy-naïve men presenting to our 11-hospital system with prostate specific antigen (PSA) of 2-20 ng/mL who underwent pre-biopsy mpMRI from March 2018-June 2021 (n = 1494). The outcomes were the presence of csPCa and high-grade prostate cancer (defined as ≥GG3 prostate cancer). Using significant variables on multivariable logistic regression, individual nomograms were developed for men with total PSA, % free PSA, or prostate health index (PHI) when available. The nomograms were both internally validated and evaluated in an independent cohort of 366 men presenting to our hospital system from July 2021-February 2022.
results1031 of 1494 men (69%) underwent biopsy after initial evaluation with mpMRI, 493 (47.8%) of whom were found to have ≥GG2 PCa, and 271 (26.3%) were found to have ≥GG3 PCa. Age, race, highest PIRADS score, prostate health index when available, % free PSA when available, and PSA density were significant predictors of ≥GG2 and ≥GG3 PCa on multivariable analysis and were used for nomogram generation. Accuracy of nomograms in both the training cohort and independent cohort were high, with areas under the curves (AUC) of ≥0.885 in the training cohort and ≥0.896 in the independent validation cohort. In our independent validation cohort, our model for ≥GG2 prostate cancer with PHI saved 39.1% of biopsies (143/366) while only missing 0.8% of csPCa (1/124) with a biopsy threshold of 20% probability of csPCa.
conclusionsHere we developed nomograms combining serum testing and mpMRI to help clinicians risk stratify patients with elevated PSA of 2-20 ng/mL who are being considered for biopsy. Our nomograms are available at https://rossnm1.shinyapps.io/MynMRIskCalculator/ to aid with biopsy decisions.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.