Background: The introduction of the endorectal coil magnetic resonance imaging (MRI) technique has improved the accuracy of preoperative staging for prostate cancer. This study quantifies the improvement in the ability to identify clinically unsuspected extraprostatic disease with the use of the endorectal coil MRI.

Methods: A retrospective review of the pathologic findings of 347 patients with prostate cancer treated with a radical retropubic prostatectomy was performed. The preoperative clinical indicators including prostate specific antigen (PSA), clinical stage, Gleason score, and endorectal coil MRI data were employed in a multivariate analysis to identify patients who were at high risk for seminal vesicle invasion (SVI) or extracapsular extension (ECE). The sensitivity, specificity, and positive and negative predictive values for predicting SVI and ECE were calculated using the significant clinical indicators found on the multivariate analysis.

Results: The clinical factors identified on multivariate analysis as significant predictors of SVI include the endorectal coil MRI data (P < 0.0001), PSA (P = 0.0096), and the Gleason score (P = 0.012). Endorectal coil MRI data (P < 0.0001), PSA (P = .0001), and Gleason score (P < .0001) were significant predictors of ECE. In the patient subgroup with PSA (> 10-20 ng/ml) and Gleason score of 5 to 7, the addition of the endorectal coil MRI data enabled an additional 71 and 27% of patients with SVI and ECE, respectively, to be correctly identified. These patients would have been missed based on the prediction obtained from the PSA and Gleason score alone.

Conclusions: The use of the endorectal coil magnetic resonance imaging data, in addition to prostate specific antigen and Gleason score, provides a more accurate prediction of the pathologic outcome of seminal vesicle invasion and extracapsular extension than the PSA and Gleason score alone for the patient subgroup with a PSA of greater than 10 to 20 ng/ml and Gleason score of 5 to 7.

Download full-text PDF

Source
http://dx.doi.org/10.1002/1097-0142(19950501)75:9<2368::aid-cncr2820750929>3.0.co;2-#DOI Listing

Publication Analysis

Top Keywords

endorectal coil
32
gleason score
32
coil mri
16
mri data
16
coil magnetic
12
magnetic resonance
12
resonance imaging
12
multivariate analysis
12
endorectal
8
coil
8

Similar Publications

Purpose To assess the impact of scanner manufacturer and scan protocol on the performance of deep learning models to classify prostate cancer (PCa) aggressiveness on biparametric MRI (bpMRI). Materials and Methods In this retrospective study, 5,478 cases from ProstateNet, a PCa bpMRI dataset with examinations from 13 centers, were used to develop five deep learning (DL) models to predict PCa aggressiveness with minimal lesion information and test how using data from different subgroups-scanner manufacturers and endorectal coil (ERC) use (Siemens, Philips, GE with and without ERC and the full dataset)-impacts model performance. Performance was assessed using the area under the receiver operating characteristic curve (AUC).

View Article and Find Full Text PDF

Impact of Endorectal Coil Use on Extraprostatic Extension Detection in Prostate MRI: A Retrospective Monocentric Study.

Acad Radiol

January 2025

Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD (O.T.E., E.C.Y., B.D.S., S.A.H., D.G.G., Y.L., M.J.B., P.L.C., B.T.). Electronic address:

Rationale And Objectives: Accurate preoperative mpMRI-based detection of extraprostatic extension (EPE) in prostate cancer (PCa) is critical for surgical planning and patient outcomes. This study aims to evaluate the impact of endorectal coil (ERC) use on the diagnostic performance of mpMRI in detecting EPE.

Materials And Methods: This retrospective study with prospectively collected data included participants who underwent mpMRI and subsequent radical prostatectomy for PCa between 2007 and 2024.

View Article and Find Full Text PDF

Background: Sodium (Na) MRI of prostate cancer (PCa) is a novel but underdocumented technique conventionally acquired using an endorectal coil. These endorectal coils are associated with challenges (e.g.

View Article and Find Full Text PDF

Objective: To determine the diagnostic test accuracy of multiparametric magnetic resonance imaging (mpMRI) in detecting seminal vesicle invasion (SVI).

Methods: The Medical Literature Analysis and Retrieval System Online (MEDLINE), PubMed, the Excerpta Medica dataBASE (EMBASE) and Cochrane databases were search up to May 2023. We included studies that investigated the accuracy of mpMRI in detecting SVI when compared to radical prostatectomy specimens as the reference standard.

View Article and Find Full Text PDF

The impact of benign tissue within cancerous regions in the prostate: Characterizing sparse and dense prostate cancers on whole-mount histopathology and on multiparametric MRI.

Magn Reson Imaging

December 2024

Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, USA; The Graduate Group in Bioengineering, University of California, San Francisco and Berkeley, Berkeley, CA 94720, USA; UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA. Electronic address:

Purpose: To establish the incidence, size, zonal location and Gleason Score(GS)/Gleason Grade Group(GG) of sparse versus dense prostate cancer (PCa) lesions and to identify the imaging characteristics of sparse versus dense cancers on multiparametric MRI (mpMRI).

Methods: Seventy-six men with untreated PCa were scanned prior to prostatectomy with endorectal-coil 3 T MRI including T2-weighted imaging, diffusion-weighted imaging and dynamic contrast-enhanced MRI. Cancerous regions were outlined and graded on the whole-mount, processed specimens, with tissue compositions estimated.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!