Literature DB >> 34751615

Validation of Prostate Tissue Composition by Using Hybrid Multidimensional MRI: Correlation with Histologic Findings.

Aritrick Chatterjee1, Crystal Mercado1, Roger M Bourne1, Ambereen Yousuf1, Brittany Hess1, Tatjana Antic1, Scott Eggener1, Aytekin Oto1, Gregory S Karczmar1.   

Abstract

Background Tissue estimates obtained by using microstructure imaging techniques, such as hybrid multidimensional (HM) MRI, may improve prostate cancer diagnosis but require histologic validation. Purpose To validate prostate tissue composition measured by using HM MRI, with quantitative histologic evaluation from whole-mount prostatectomy as the reference standard. Materials and Methods In this HIPAA-compliant study, from December 2016 to July 2018, prospective participants with biopsy-confirmed prostate cancer underwent 3-T MRI before radical prostatectomy. Axial HM MRI was performed with all combinations of echo times (57, 70, 150, and 200 msec) and b values (0, 150, 750, and 1500 sec/mm2). Data were fitted by using a three-compartment signal model to generate volumes for each tissue component (stroma, epithelium, lumen). Quantitative histologic evaluation was performed to calculate volume fractions for each tissue component for regions of interest corresponding to MRI. Tissue composition measured by using HM MRI and quantitative histologic evaluation were compared (paired t test) and correlated (Pearson correlation coefficient), and agreement (concordance correlation) was assessed. Receiver operating characteristic curve analysis for cancer diagnosis was performed. Results Twenty-five participants (mean age, 60 years ± 7 [standard deviation]; 30 cancers and 45 benign regions of interest) were included. Prostate tissue composition measured with HM MRI and quantitative histologic evaluation did not differ (stroma, 45% ± 11 vs 44% ± 11 [P = .23]; epithelium, 31% ± 15 vs 34% ± 15 [P = .08]; and lumen, 24% ± 13 vs 22% ± 11 [P = .80]). Between HM MRI and histologic evaluation, there was excellent correlation (Pearson r: overall, 0.91; stroma, 0.82; epithelium, 0.93; lumen, 0.90 [all P < .05]) and agreement (concordance correlation coefficient: overall, 0.91; stroma, 0.81; epithelium, 0.90; and lumen, 0.87). High areas under the receiver operating characteristic curve obtained with HM MRI (0.96 for epithelium and 0.94 for lumen, P < .001) and histologic evaluation (0.94 for epithelium and 0.88 for lumen, P < .001) were found for differentiation between benign tissue and prostate cancer. Conclusion Tissue composition measured by using hybrid multidimensional MRI had excellent correlation with quantitative histologic evaluation as the reference standard. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Muglia in this issue.

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Year:  2021        PMID: 34751615      PMCID: PMC8805656          DOI: 10.1148/radiol.2021204459

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  34 in total

1.  Changes in Epithelium, Stroma, and Lumen Space Correlate More Strongly with Gleason Pattern and Are Stronger Predictors of Prostate ADC Changes than Cellularity Metrics.

Authors:  Aritrick Chatterjee; Geoffrey Watson; Esther Myint; Paul Sved; Mark McEntee; Roger Bourne
Journal:  Radiology       Date:  2015-06-23       Impact factor: 11.105

2.  Revisiting quantitative multi-parametric MRI of benign prostatic hyperplasia and its differentiation from transition zone cancer.

Authors:  Aritrick Chatterjee; Alexander J Gallan; Dianning He; Xiaobing Fan; Devkumar Mustafi; Ambereen Yousuf; Tatjana Antic; Gregory S Karczmar; Aytekin Oto
Journal:  Abdom Radiol (NY)       Date:  2019-06

3.  Cancer statistics, 2020.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2020-01-08       Impact factor: 508.702

4.  Assessment of aggressiveness of prostate cancer: correlation of apparent diffusion coefficient with histologic grade after radical prostatectomy.

Authors:  Sadhna Verma; Arumugam Rajesh; Humberto Morales; Lisa Lemen; Gordon Bills; Mark Delworth; Krish Gaitonde; Jun Ying; Ranasinghe Samartunga; Michael Lamba
Journal:  AJR Am J Roentgenol       Date:  2011-02       Impact factor: 3.959

Review 5.  Can Clinically Significant Prostate Cancer Be Detected with Multiparametric Magnetic Resonance Imaging? A Systematic Review of the Literature.

Authors:  Jurgen J Fütterer; Alberto Briganti; Pieter De Visschere; Mark Emberton; Gianluca Giannarini; Alex Kirkham; Samir S Taneja; Harriet Thoeny; Geert Villeirs; Arnauld Villers
Journal:  Eur Urol       Date:  2015-02-02       Impact factor: 20.096

6.  Contribution of Histopathologic Tissue Composition to Quantitative MR Spectroscopy and Diffusion-weighted Imaging of the Prostate.

Authors:  Thiele Kobus; Jeroen A W M van der Laak; Marnix C Maas; Thomas Hambrock; Caroline C Bruggink; Christina A Hulsbergen-van de Kaa; Tom W J Scheenen; Arend Heerschap
Journal:  Radiology       Date:  2015-09-29       Impact factor: 11.105

7.  What Are We Missing? False-Negative Cancers at Multiparametric MR Imaging of the Prostate.

Authors:  Samuel Borofsky; Arvin K George; Sonia Gaur; Marcelino Bernardo; Matthew D Greer; Francesca V Mertan; Myles Taffel; Vanesa Moreno; Maria J Merino; Bradford J Wood; Peter A Pinto; Peter L Choyke; Baris Turkbey
Journal:  Radiology       Date:  2017-10-20       Impact factor: 11.105

8.  Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study.

Authors:  Hashim U Ahmed; Ahmed El-Shater Bosaily; Louise C Brown; Rhian Gabe; Richard Kaplan; Mahesh K Parmar; Yolanda Collaco-Moraes; Katie Ward; Richard G Hindley; Alex Freeman; Alex P Kirkham; Robert Oldroyd; Chris Parker; Mark Emberton
Journal:  Lancet       Date:  2017-01-20       Impact factor: 79.321

Review 9.  Limitations and Prospects for Diffusion-Weighted MRI of the Prostate.

Authors:  Roger Bourne; Eleftheria Panagiotaki
Journal:  Diagnostics (Basel)       Date:  2016-05-27

10.  VERDICT MRI validation in fresh and fixed prostate specimens using patient-specific moulds for histological and MR alignment.

Authors:  Colleen Bailey; Roger M Bourne; Bernard Siow; Edward W Johnston; Mrishta Brizmohun Appayya; Hayley Pye; Susan Heavey; Thomy Mertzanidou; Hayley Whitaker; Alex Freeman; Dominic Patel; Greg L Shaw; Ashwin Sridhar; David J Hawkes; Shonit Punwani; Daniel C Alexander; Eleftheria Panagiotaki
Journal:  NMR Biomed       Date:  2019-02-19       Impact factor: 4.044

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  1 in total

1.  Prostate Tissue Microstructural Estimates Using Time-Dependent Diffusion MRI.

Authors:  Aritrick Chatterjee; Aytekin Oto
Journal:  Radiology       Date:  2022-03-08       Impact factor: 29.146

  1 in total

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