Literature DB >> 29609953

Determination of Prostate Volume: A Comparison of Contemporary Methods.

Adam Bezinque1, Andrew Moriarity2, Crystal Farrell3, Henry Peabody4, Sabrina L Noyes4, Brian R Lane5.   

Abstract

RATIONALE AND
OBJECTIVES: Prostate volume (PV) determination provides important clinical information. We compared PVs determined by digital rectal examination (DRE), transrectal ultrasound (TRUS), magnetic resonance imaging (MRI) with or without three-dimensional (3D) segmentation software, and surgical prostatectomy weight (SPW) and volume (SPV).
MATERIALS AND METHODS: This retrospective review from 2010 to 2016 included patients who underwent radical prostatectomy ≤1 year after multiparametric prostate MRI. PVs from DRE and TRUS were obtained from urology clinic notes. MRI-based PVs were calculated using bullet and ellipsoid formulas, automated 3D segmentation software (MRI-A3D), manual segmentation by a radiologist (MRI-R3D), and a third-year medical student (MRI-S3D). SPW and SPV were derived from pathology reports. Intraclass correlation coefficients compared the relative accuracy of each volume measurement.
RESULTS: Ninety-nine patients were analyzed. Median PVs were DRE 35 mL, TRUS 35 mL, MRI-bullet 49 mL, MRI-ellipsoid 39 mL, MRI-A3D 37 mL, MRI-R3D 36 mL, MRI-S3D 36 mL, SPW 54 mL, SPV-bullet 47 mL, and SPV-ellipsoid 37 mL. SPW and bullet formulas had consistently large PV, and formula-based PV had a wider spread than PV based on segmentation. Compared to MRI-R3D, the intraclass correlation coefficient was 0.91 for MRI-S3D, 0.90 for MRI-ellipsoid, 0.73 for SPV-ellipsoid, 0.72 for MRI-bullet, 0.71 for TRUS, 0.70 for SPW, 0.66 for SPV-bullet, 0.38 for MRI-A3D, and 0.33 for DRE.
CONCLUSIONS: With MRI-R3D measurement as the reference, the most reliable methods for PV estimation were MRI-S3D and MRI-ellipsoid formula. Automated segmentations must be individually assessed for accuracy, as they are not always truly representative of the prostate anatomy. Manual segmentation of the prostate does not require expert training.
Copyright © 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Prostate cancer; TRUS; magnetic resonance imaging; prostate volume

Mesh:

Year:  2018        PMID: 29609953     DOI: 10.1016/j.acra.2018.03.014

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  8 in total

1.  Automated Segmentation of Tissues Using CT and MRI: A Systematic Review.

Authors:  Leon Lenchik; Laura Heacock; Ashley A Weaver; Robert D Boutin; Tessa S Cook; Jason Itri; Christopher G Filippi; Rao P Gullapalli; James Lee; Marianna Zagurovskaya; Tara Retson; Kendra Godwin; Joey Nicholson; Ponnada A Narayana
Journal:  Acad Radiol       Date:  2019-08-10       Impact factor: 3.173

2.  Diagnostic Accuracy of Contemporary Selection Criteria in Prostate Cancer Patients Eligible for Active Surveillance: A Bayesian Network Meta-Analysis.

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Journal:  Front Oncol       Date:  2022-01-10       Impact factor: 6.244

3.  Inter-imaging accuracy of computed tomography, magnetic resonance imaging, and transrectal ultrasound in measuring prostate volume compared to the anatomic prostatic weight.

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Journal:  Turk J Urol       Date:  2020-01-01

Review 4.  Applications of Artificial Intelligence to Prostate Multiparametric MRI (mpMRI): Current and Emerging Trends.

Authors:  Michelle D Bardis; Roozbeh Houshyar; Peter D Chang; Alexander Ushinsky; Justin Glavis-Bloom; Chantal Chahine; Thanh-Lan Bui; Mark Rupasinghe; Christopher G Filippi; Daniel S Chow
Journal:  Cancers (Basel)       Date:  2020-05-11       Impact factor: 6.639

Review 5.  How Accurately Can Prostate Gland Imaging Measure the Prostate Gland Volume? Results of a Systematic Review.

Authors:  David R H Christie; Christopher F Sharpley
Journal:  Prostate Cancer       Date:  2019-03-03

Review 6.  Multivariate risk prediction tools including MRI for individualized biopsy decision in prostate cancer diagnosis: current status and future directions.

Authors:  Ivo G Schoots; Monique J Roobol
Journal:  World J Urol       Date:  2019-03-13       Impact factor: 4.226

7.  Analysis of risk factors for determining the need for prostate biopsy in patients with negative MRI.

Authors:  Linghui Liang; Feng Qi; Yifei Cheng; Lei Zhang; Dongliang Cao; Gong Cheng; Lixin Hua
Journal:  Sci Rep       Date:  2021-03-15       Impact factor: 4.379

8.  Three-dimensional measurement and analysis of benign prostatic hyperplasia.

Authors:  Yankun Feng; Jianhui Wu; He Zhu; Qiming Wang; Tianyi Li; Yong Xu; Ping Zhang; Lidong Zhai
Journal:  Transl Androl Urol       Date:  2021-06
  8 in total

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