Literature DB >> 30955071

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

Aritrick Chatterjee1, Alexander J Gallan2, Dianning He1,3, Xiaobing Fan1, Devkumar Mustafi1, Ambereen Yousuf1, Tatjana Antic2, Gregory S Karczmar1, Aytekin Oto4.   

Abstract

PURPOSE: This study investigates the multiparametric MRI (mpMRI) appearance of different types of benign prostatic hyperplasia (BPH) and whether quantitative mpMRI is effective in differentiating between prostate cancer (PCa) and BPH.
MATERIALS AND METHODS: Patients (n = 60) with confirmed PCa underwent preoperative 3T MRI. T2-weighted, multi-echo T2-weighted, diffusion weighted and dynamic contrast enhanced images (DCE) were obtained prior to undergoing prostatectomy. PCa and BPH (cystic, glandular or stromal) were identified in the transition zone and matched with MRI. Quantitative mpMRI metrics: T2, ADC and DCE-MRI parameters using an empirical mathematical model were measured.
RESULTS: ADC values were significantly lower (p < 0.001) in PCa compared to all BPH types and can differentiate between PCa and BPH with high accuracy (AUC = 0.87, p < 0.001). T2 values were significantly lower (p < 0.001) in PCa compared to cystic BPH only, while glandular (p = 0.27) and stromal BPH (p = 0.99) showed no significant difference from PCa. BPH mimics PCa in the transition zone on DCE-MRI evidenced by no significant difference between them. mpMRI values of glandular (ADC = 1.31 ± 0.22 µm2/ms, T2 = 115.7 ± 37.3 ms) and cystic BPH (ADC = 1.92 ± 0.43 µm2/ms, T2 = 242.8 ± 117.9 ms) are significantly different. There was no significant difference in ADC (p = 0.72) and T2 (p = 0.46) between glandular and stromal BPH.
CONCLUSIONS: Multiparametric MRI and specifically quantitative ADC values can be used for differentiating PCa and BPH, improving PCa diagnosis in the transition zone. However, DCE-MRI metrics are not effective in distinguishing PCa and BPH. Glandular BPH are not hyperintense on ADC and T2 as previously thought and have similar quantitative mpMRI measurements to stromal BPH. Glandular and cystic BPH appear differently on mpMRI and are histologically different.

Entities:  

Keywords:  Benign prostatic hyperplasia; Cystic; Glandular; Prostate cancer; Stromal

Year:  2019        PMID: 30955071     DOI: 10.1007/s00261-019-01936-1

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  5 in total

1.  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

2.  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

3.  Predicting clinically significant prostate cancer from quantitative image features including compressed sensing radial MRI of prostate perfusion using machine learning: comparison with PI-RADS v2 assessment scores.

Authors:  David Jean Winkel; Hanns-Christian Breit; Bibo Shi; Daniel T Boll; Hans-Helge Seifert; Christian Wetterauer
Journal:  Quant Imaging Med Surg       Date:  2020-04

Review 4.  Dynamic contrast-enhanced (DCE) imaging: state of the art and applications in whole-body imaging.

Authors:  Domenico Albano; Federico Bruno; Andrea Agostini; Salvatore Alessio Angileri; Massimo Benenati; Giulia Bicchierai; Michaela Cellina; Vito Chianca; Diletta Cozzi; Ginevra Danti; Federica De Muzio; Letizia Di Meglio; Francesco Gentili; Giuliana Giacobbe; Giulia Grazzini; Irene Grazzini; Pasquale Guerriero; Carmelo Messina; Giuseppe Micci; Pierpaolo Palumbo; Maria Paola Rocco; Roberto Grassi; Vittorio Miele; Antonio Barile
Journal:  Jpn J Radiol       Date:  2021-12-24       Impact factor: 2.374

5.  Artificial Intelligence Algorithm-Based MRI for Differentiation Diagnosis of Prostate Cancer.

Authors:  Rui Luo; Qingxiang Zeng; Huashan Chen
Journal:  Comput Math Methods Med       Date:  2022-06-28       Impact factor: 2.809

  5 in total

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