A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 197

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 317
Function: require_once

Magnetic Resonance Imaging (MRI)-Adapted Prostate Cancer Risk Tool Incorporating Cribriform and Intraductal Carcinoma. | LitMetric

Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Current prostate cancer risk stratification tools are not adapted for magnetic resonance imaging (MRI)-targeted biopsies and do not include the presence of cribriform carcinoma/intraductal carcinoma (CC/IDC), an independent predictor of adverse clinical outcomes. We developed an MRI-adapted prostate cancer risk tool (MAPCaRT), which incorporates CC/IDC presence to the Cancer of the Prostate Risk Assessment (CAPRA) tool. We compared the prognostic power of MAPCaRT with that of CAPRA in MRI-targeted biopsies (n = 266, 2015-2023) and systematic-only biopsies (n = 1291, 2010-2018) that had matched radical prostatectomy. MAPCaRT employs the aggregate core count method for MRI-targeted lesions to calculate percent positive biopsy cores and uses the radiological stage when assessing MRI-targeted biopsies. Point attribution for CC/IDC presence and Gleason score was determined using a Cox proportional hazards model that included the CAPRA score, Gleason score, and CC/IDC status. Based on calculated MAPCaRT and CAPRA scores, patients were classified into the low-risk (0-2), intermediate-risk (3-5), or high-risk (6+) group. Model performance was assessed via the Kaplan-Meier curves, Harrell C-indices, and decision curve analysis for biochemical recurrence-free survival (BCR-FS) and event-free survival (EFS) (metastasis/cancer-specific death). CC/IDC was present in 84 of 266 (32%) MRI-targeted biopsies and 293 of 1291 systematic-only biopsies (23%). The median follow-up time was 3.4 years (IQR, 2.3-5.5 years) for the MRI-targeted biopsy cohort and 5.9 years (IQR, 3.4-8.1 years) for the systematic biopsy cohort. In the MRI-targeted biopsy cohort, MAPCaRT showed substantial improvement of the C-index compared with CAPRA (0.635 vs 0.574, P = .045) and greater net clinical benefit for 4-year BCR-FS. In the systematic biopsy cohort, MAPCaRT demonstrated improved C-index for BCR-FS (0.696 vs 0.655, P < .001) and greater net clinical benefit for 5-year BCR-FS and EFS. Other model performance metrics were marginally better with MAPCaRT. In summary, we developed MAPCaRT (prostatecancercalculator.lmp.utoronto.ca), a modified version of CAPRA incorporating CC/IDC presence, which demonstrated improved BCR-FS and EFS predictions. This may result in better clinical guidance for disease management decisions.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.modpat.2025.100852DOI Listing

Publication Analysis

Top Keywords

mri-targeted biopsies
16
biopsy cohort
16
prostate cancer
12
cancer risk
12
cc/idc presence
12
magnetic resonance
8
resonance imaging
8
mri-adapted prostate
8
risk tool
8
mapcart
8

Similar Publications