Literature DB >> 28383776

Quantified analysis of histological components and architectural patterns of gleason grades in apparent diffusion coefficient restricted areas upon diffusion weighted MRI for peripheral or transition zone cancer locations.

Olivier Helfrich1,2, Philippe Puech2,3, Nacim Betrouni2, Claire Pinçon4, Adil Ouzzane1,2, Jérome Rizk1,2, Gauthier Marcq1, Marco Randazzo5, Matthieu Durand6, Said Lakroum2, Xavier Leroy7, Arnauld Villers1,2.   

Abstract

PURPOSE: To quantify and compare the histological components and architectural patterns of Gleason grades in cancerous areas with restriction on apparent diffusion coefficient (ADC) maps.
MATERIALS AND METHODS: Twelve consecutive cases with 14 separate ADC restriction areas, positive for cancer in the peripheral zone (PZ) and transition zone (TZ) were included. All had 3 Tesla MRI and radical prostatectomy. Ten regions of interest (ROIs) within and outside the 14 ADC restriction areas positive for cancer were selected. For each ROI, we performed quantitative analysis of (a) prostate benign and malignant histological component surface ratios, including stroma, glands, epithelium, lumen, cellular nuclei; (b) percent of Gleason grades and measures of ADC values. Means of histological components according to ADC restriction for cancerous area were compared with analyses of variance with repeated measures.
RESULTS: Independent predictors of the probability of cancer were median epithelium/ROI ratio (P = 0.001) and nuclei/ROI ratio (P = 0.03). Independent predictors of the probability of ADC restriction were malignant glands/ROI and luminal space/ROI (P < 0.0001). Effect of malignant glands/ROI area was different according to the localization of the ROI (P = 0.03). We observed an overall difference between the means for all of the histological components for the comparison of true positive and false negative (P < 0.0001), except for the percent of Gleason grade 4 (P = 0.18). In TZ cancers, a predominant grade 3 pattern was associated with low ADC values. In PZ cancers, a predominant grade 4 pattern was associated with low ADC values.
CONCLUSION: Determinants of low ADC were high ratio of malignant glands/ROI area which may be seen in Gleason grades 3 or 4 cancers. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2017;46:1786-1796.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  Gleason grading; diffusion magnetic resonance imaging; prostate neoplasms

Mesh:

Year:  2017        PMID: 28383776     DOI: 10.1002/jmri.25716

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  6 in total

1.  The impact of multiparametric MRI features to identify the presence of prevalent cribriform pattern in the peripheral zone tumors.

Authors:  Caterina Gaudiano; Lorenzo Bianchi; Antonio De Cinque; Beniamino Corcioni; Francesca Giunchi; Riccardo Schiavina; Michelangelo Fiorentino; Eugenio Brunocilla; Rita Golfieri
Journal:  Radiol Med       Date:  2021-11-30       Impact factor: 3.469

Review 2.  Challenges in ensuring the generalizability of image quantitation methods for MRI.

Authors:  Kathryn E Keenan; Jana G Delfino; Kalina V Jordanova; Megan E Poorman; Prathyush Chirra; Akshay S Chaudhari; Bettina Baessler; Jessica Winfield; Satish E Viswanath; Nandita M deSouza
Journal:  Med Phys       Date:  2021-09-29       Impact factor: 4.506

3.  Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings.

Authors:  Ahmad Algohary; Satish Viswanath; Rakesh Shiradkar; Soumya Ghose; Shivani Pahwa; Daniel Moses; Ivan Jambor; Ronald Shnier; Maret Böhm; Anne-Maree Haynes; Phillip Brenner; Warick Delprado; James Thompson; Marley Pulbrock; Andrei S Purysko; Sadhna Verma; Lee Ponsky; Phillip Stricker; Anant Madabhushi
Journal:  J Magn Reson Imaging       Date:  2018-02-22       Impact factor: 4.813

4.  Diagnostic evaluation of magnetization transfer and diffusion kurtosis imaging for prostate cancer detection in a re-biopsy population.

Authors:  Tristan Barrett; Mary McLean; Andrew N Priest; Edward M Lawrence; Andrew J Patterson; Brendan C Koo; Ilse Patterson; Anne Y Warren; Andrew Doble; Vincent J Gnanapragasam; Christof Kastner; Ferdia A Gallagher
Journal:  Eur Radiol       Date:  2017-12-08       Impact factor: 5.315

Review 5.  The use of advanced imaging in guiding the further investigation and treatment of primary prostate cancer.

Authors:  Heying Duan; Andrei Iagaru
Journal:  Cancer Imaging       Date:  2022-09-03       Impact factor: 5.605

6.  Diffusion weighted MRI as an early predictor of tumor response to hypofractionated stereotactic boost for prostate cancer.

Authors:  David Pasquier; Abderraouf Hadj Henni; Alexandre Escande; Emmanuelle Tresch; Nick Reynaert; Olivier Colot; Eric Lartigau; Nacim Betrouni
Journal:  Sci Rep       Date:  2018-07-10       Impact factor: 4.379

  6 in total

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