Literature DB >> 30540213

Comparison of T2-Weighted Imaging, DWI, and Dynamic Contrast-Enhanced MRI for Calculation of Prostate Cancer Index Lesion Volume: Correlation With Whole-Mount Pathology.

Chongpeng Sun1,2, Aritrick Chatterjee1, Ambereen Yousuf1, Tatjana Antic3, Scott Eggener4, Gregory S Karczmar1, Aytekin Oto1.   

Abstract

OBJECTIVE: The objective of our study was to investigate the comparative effectiveness of different MRI sequences for the estimation of index lesion volume in patients with prostate cancer (PCa) compared with ground truth volume measured on whole-mount pathology.
MATERIALS AND METHODS: Patients with PCa underwent multiparametric MRI (mpMRI) on a 3-T MRI scanner before radical prostatectomy. Forty PCa index lesions were identified and outlined on histology by a pathologist. Two radiologists who were informed about the presence of PCa but were not aware of lesion outlines on histology worked in consensus to delineate PCa lesions on T2-weighted imaging, apparent diffusion coefficient (ADC) maps, and early-phase dynamic contrast-enhanced MRI (DCE-MRI). The lesion volumes from different mpMRI sequences and the percentage of volume underestimation compared with pathology were calculated and correlated with volume at pathology. The repeated-measures ANOVA with the posthoc Bonferroni test was performed to evaluate whether the difference between the estimated tumor volumes was statistically significant.
RESULTS: The mean PCa lesion volume estimated from pathology, T2-weighted imaging, DWI (ADC maps), and DCE-MRI were 4.61 ± 4.99 (SD) cm3, 2.03 ± 2.96 cm3, 1.81 ± 2.76 cm3, and 3.48 ± 4.06 cm3, respectively. The lesion volumes on T2-weighted images (p = 0.000002), ADC maps (p = 0.000003), and DCE-MR images (p = 0.004412) were significantly lower than those from pathology. PCa lesion volume was significantly underestimated on T2-weighted images, ADC maps, and DCE-MR images compared with pathology by 54.98% ± 22.60% (mean ± SD), 58.59% ± 18.58%, and 18.33% ± 30.11%, respectively; underestimation using T2-weighted imaging (p = 1.01 × 10-11) and DWI (p = 2.94 × 10-11) was significantly higher than underestimation using DCE-MRI. Correlations between lesion volume estimated on T2-weighted images, ADC maps, and DCE-MR images with pathology were 0.91 (p = 9.03 × 10-16), 0.86 (p = 7.32 × 10-13), and 0.93 (p = 8.22 × 10-18), respectively.
CONCLUSION: DCE-MRI performed better than T2-weighted imaging and DWI for estimation of index PCa volume and therefore can be preferred over these other two sequences for volume estimation.

Entities:  

Keywords:  DWI; MRI; dynamic contrast-enhanced MRI; prostate cancer; whole-mount pathology

Mesh:

Substances:

Year:  2018        PMID: 30540213     DOI: 10.2214/AJR.18.20147

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  12 in total

Review 1.  Extraprostatic extension in prostate cancer: primer for radiologists.

Authors:  Alice C Shieh; Ezgi Guler; Vijayanadh Ojili; Raj Mohan Paspulati; Robin Elliott; Nikhil H Ramaiya; Sree Harsha Tirumani
Journal:  Abdom Radiol (NY)       Date:  2020-12

2.  Volume Delineation in Cervical Cancer With T2 and Diffusion-weighted MRI: Agreement on Volumes Between Observers.

Authors:  Consuelo Rosa; Andrea Delli Pizzi; Antonietta Augurio; Luciana Caravatta; Monica DI Tommaso; Erica Mincuzzi; Sebastiano Cinalli; Raffaella Basilico; Annamaria Porreca; Marta DI Nicola; Domenico Genovesi
Journal:  In Vivo       Date:  2020 Jul-Aug       Impact factor: 2.155

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

Authors:  Aritrick Chatterjee; Crystal Mercado; Roger M Bourne; Ambereen Yousuf; Brittany Hess; Tatjana Antic; Scott Eggener; Aytekin Oto; Gregory S Karczmar
Journal:  Radiology       Date:  2021-11-09       Impact factor: 11.105

4.  Analysis of Apparent Diffusion Coefficient Value and Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameters of Prostate Cancer Patients after Diagnosis and Treatment with Magnetic Resonance Imaging.

Authors:  Peng Gu
Journal:  Comput Math Methods Med       Date:  2022-06-23       Impact factor: 2.809

Review 5.  New prostate MRI techniques and sequences.

Authors:  Aritrick Chatterjee; Carla Harmath; Aytekin Oto
Journal:  Abdom Radiol (NY)       Date:  2020-12

Review 6.  PI-RADS: what is new and how to use it.

Authors:  Silvina P Dutruel; Sunil Jeph; Daniel J A Margolis; Natasha Wehrli
Journal:  Abdom Radiol (NY)       Date:  2020-12

7.  Prognostic Value of Pretreatment MRI in Patients With Prostate Cancer Treated With Radiation Therapy: A Systematic Review and Meta-Analysis.

Authors:  Sungmin Woo; Sangwon Han; Tae-Hyung Kim; Chong Hyun Suh; Antonio C Westphalen; Hedvig Hricak; Michael J Zelefsky; Hebert Alberto Vargas
Journal:  AJR Am J Roentgenol       Date:  2019-12-04       Impact factor: 3.959

8.  MRI grading for the prediction of prostate cancer aggressiveness.

Authors:  M Boschheidgen; L Schimmöller; C Arsov; F Ziayee; J Morawitz; B Valentin; K L Radke; M Giessing; I Esposito; P Albers; G Antoch; T Ullrich
Journal:  Eur Radiol       Date:  2021-11-08       Impact factor: 7.034

9.  Prostate cancer measurements on serial MRI during active surveillance: it's time to be PRECISE.

Authors:  Francesco Giganti; Vasilis Stavrinides; Armando Stabile; Elizabeth Osinibi; Clement Orczyk; Jan Philipp Radtke; Alex Freeman; Aiman Haider; Shonit Punwani; Clare Allen; Mark Emberton; Alex Kirkham; Caroline M Moore
Journal:  Br J Radiol       Date:  2020-09-21       Impact factor: 3.039

10.  The role of gadolinium in magnetic resonance imaging for early prostate cancer diagnosis: A diagnostic accuracy study.

Authors:  Ilinca Cosma; Cornelia Tennstedt-Schenk; Sven Winzler; Marios Nikos Psychogios; Alexander Pfeil; Ulf Teichgraeber; Ansgar Malich; Ismini Papageorgiou
Journal:  PLoS One       Date:  2019-12-23       Impact factor: 3.240

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