Literature DB >> 27639626

Determination of the Association Between T2-weighted MRI and Gleason Sub-pattern: A Proof of Principle Study.

Michelle R Downes1, Eli Gibson2, Jenna Sykes3, Masoom Haider4, Theo H van der Kwast5, Aaron Ward6.   

Abstract

RATIONALE AND
OBJECTIVES: The study aimed to determine the relationship between T2-weighted magnetic resonance imaging (MRI) signal and histologic sub-patterns in prostate cancer areas with different Gleason grades.
MATERIALS AND METHODS: MR images of prostates (n = 25) were obtained prior to radical prostatectomy. These were processed as whole-mount specimens with tumors and the peripheral zone was annotated digitally by two pathologists. Gleason grade 3 was the most prevalent grade and was subdivided into packed, intermediate, and sparse based on gland-to-stroma ratio. Large cribriform, intraductal carcinoma, and small cribriform glands (grade 4 group) were separately annotated but grouped together for statistical analysis. The log MRI signal intensity for each contoured region (n = 809) was measured, and pairwise comparisons were performed using the open-source software R version 3.0.1.
RESULTS: Packed grade 3 sub-pattern has a significantly lower MRI intensity than the grade 4 group (P < 0.00001). Sparse grade 3 has a significantly higher MRI intensity than the packed grade 3 sub-pattern (P < 0.0001). No significant difference in MRI intensity was observed between the Gleason grade 4 group and the sparse sub-pattern grade 3 group (P = 0.54). In multivariable analysis adjusting for peripheral zone, the P values maintained significance (packed grade 3 group vs grade 4 group, P < 0.001; and sparse grade 3 sub-pattern vs packed grade 3 sub-pattern, P < 0.001).
CONCLUSIONS: This study demonstrated that T2-weighted MRI signal is dependent on histologic sub-patterns within Gleason grades 3 and 4 cancers, which may have implications for directed biopsy sampling and patient management.
Copyright © 2016 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Prostate; T2W; sub-pattern

Mesh:

Year:  2016        PMID: 27639626     DOI: 10.1016/j.acra.2016.07.013

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


  4 in total

1.  Simplified PI-RADS (S-PI-RADS) for biparametric MRI to detect and manage prostate cancer: What urologists need to know.

Authors:  Michele Scialpi; Pietro Scialpi; Eugenio Martorana; Riccardo Torre; Antonio Improta; Maria Cristina Aisa; Alfredo D'Andrea; Aldo Di Blasi
Journal:  Turk J Urol       Date:  2021-05

Review 2.  MRI-targeted prostate biopsy: the next step forward!

Authors:  Emanuel Darius Cata; Iulia Andras; Teodora Telecan; Attila Tamas-Szora; Radu-Tudor Coman; Dan-Vasile Stanca; Ioan Coman; Nicolae Crisan
Journal:  Med Pharm Rep       Date:  2021-04-29

Review 3.  On cribriform prostate cancer.

Authors:  Charlotte F Kweldam; Theodorus van der Kwast; Geert J van Leenders
Journal:  Transl Androl Urol       Date:  2018-02

Review 4.  MRI in early prostate cancer detection: how to manage indeterminate or equivocal PI-RADS 3 lesions?

Authors:  Ivo G Schoots
Journal:  Transl Androl Urol       Date:  2018-02
  4 in total

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