MP44-12 mpMRI-TARGETED BIOPSY COMPARED TO SYSTEMATIC TRUS BIOPSY FOR MEN AT RISK FOR PROSTATE CANCER: 2 YEAR FOLLOW UP DATA AND ECONOMIC ANALYSIS
Bibliographic record
Abstract
You have accessJournal of UrologyCME1 Apr 2023MP44-12 mpMRI-TARGETED BIOPSY COMPARED TO SYSTEMATIC TRUS BIOPSY FOR MEN AT RISK FOR PROSTATE CANCER: 2 YEAR FOLLOW UP DATA AND ECONOMIC ANALYSIS Laurence Klotz, Joseph Chin, Peter Black, Antonio Finelli, Maurice Anidjar, Marlene Kebabdjian, Nicole Mittmann, and Soo Jin Seung Laurence KlotzLaurence Klotz More articles by this author , Joseph ChinJoseph Chin More articles by this author , Peter BlackPeter Black More articles by this author , Antonio FinelliAntonio Finelli More articles by this author , Maurice AnidjarMaurice Anidjar More articles by this author , Marlene KebabdjianMarlene Kebabdjian More articles by this author , Nicole MittmannNicole Mittmann More articles by this author , and Soo Jin SeungSoo Jin Seung More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003290.12AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: The Precise study, a prospective randomized trial, demonstrated that MRI with only targeted biopsy was non-inferior to systematic TRUS guided biopsies in the detection of GG ≥2 PCa. An unanswered question is the outcome in those patients who avoided a biopsy due to a negative MRI.We addressed the outcome of patients on this trial who were unbiopsied, or had a negative or GG1 targeted biopsy, compared to those whose systematic biopsy was negative or GG1, with respect to the rate of subsequent prostate cancer diagnosis based on a 2 year MRI performed in all patients. In addition, we used administrative provincial data to compare the net costs of systematic biopsy vs MRI and targeted biopsy. METHODS: The study was carried out at 5 Canadian centres. The Precise trial accrued 453 biopsy-naïve men with a clinical suspicion of PCa advised to have a prostate biopsy. All those not initially diagnosed with GG≥2 PCa (unbiopsied due to a negative MRI, or a negative biopsy, or GG1 disease if biopsied) were entered in the follow up study. All Ontario patients were entered in the economic analysis. The intervention was an MRI at year 2 in all men in both MRI and systematic biopsy groups. Biopsy was performed for PiRads ≥ 3 or clinical suspicion. RESULTS: 73 patients in the MRI arm and 69 patients in the systematic biopsy arm had a 2 year evaluable MRI. In the MRI and syst bx arm, 70% and 72% had a negative 2 year MRI. Of the 16 patients in the systematic biopsy arm who had a 2 year biopsy, 8 were negative, 2 were GG1, and 6 were GG ≥2. In the MRI arm, 8 were biopsied; 4 were negative, and 4 were GG ≥2. At 2 years, in the Syst Bx and MRI groups, 27% and 30% either were diagnosed with GG≥2. disease; treated, died, or progressed. 15% from the TRUS biopsy group had a hospital visit after biopsy compared to less 6% from the MRI+ group. The mean per person per year (PPPY) costs for the TRUS and All MRI groups (MRI- and MRI+) were $7,828 and $8,525, respectively. CONCLUSIONS: After 2 years of follow up including an MRI in all patients, there was no difference in the rate of CS Pca diagnosis between the MRI with only targeted biopsy and systematic biopsy groups, despite 40% of men in the MRI group avoiding biopsy. These patients will be followed for an additional 6 years to confirm this finding. Economic analysis using a linked provincial databased demonstrated no significant difference in net cost between the 2 strategies. This data reinforces that an imaging first diagnostic strategy is safe and cost-effective. ClinicalTrials.gov Identifier: NCT02936258 Source of Funding: This study was co-funded by the OICR, and Prostate Cancer Canada © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e616 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Laurence Klotz More articles by this author Joseph Chin More articles by this author Peter Black More articles by this author Antonio Finelli More articles by this author Maurice Anidjar More articles by this author Marlene Kebabdjian More articles by this author Nicole Mittmann More articles by this author Soo Jin Seung More articles by this author Expand All Advertisement PDF downloadLoading ...
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.006 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".