Literature DB >> 25714284

Apparent diffusion coefficient value and ratio as noninvasive potential biomarkers to predict prostate cancer grading: comparison with prostate biopsy and radical prostatectomy specimen.

Francesco De Cobelli1, Silvia Ravelli, Antonio Esposito, Francesco Giganti, Andrea Gallina, Francesco Montorsi, Alessandro Del Maschio.   

Abstract

OBJECTIVE. The purpose of this study is to test the association between diffusion-weighted MRI and prostate cancer Gleason score at both biopsy and final pathologic analysis after radical prostatectomy. SUBJECTS AND METHODS. Patients with prostate cancer (n = 72) underwent diffusion-weighted MRI (b values, 0, 800, and 1600 s/mm(2)) with an endorectal coil. Apparent diffusion coefficient (ADC) and ADC ratio were obtained in normal and pathologic tissue and were correlated with transrectal ultrasound-guided biopsy (n = 72) and histopathologic (n = 39) Gleason scores using the ANOVA test. ADC accuracy was estimated using ROC curves. RESULTS. Lesions suspicious for prostate cancer were detected in 65 patients. The mean ADC was 1.47 and 0.87 × 10(-3) mm(2)/s for normal and pathologic tissue, respectively (p < 0.001). When we divided the population into four groups (normal tissue and biopsy Gleason scores of 6, 7, and 8-10), then the mean ADC value was 1.47, 0.96, 0.80, and 0.78 × 10(-3) mm(2)/s, respectively (p < 0.001). The ADC ratio decreased along with an increase in biopsy Gleason score (66.9%, 56.7%, and 51.5% for Gleason scores of 6, 7 and 8-10, respectively) (ANOVA, p = 0.003) and pathologic Gleason score (ANOVA, p < 0.001). ROC curves had an AUC of 0.94 and 0.86 for ADC and ADC ratio, respectively (p = 0.012 and 0.042, respectively). CONCLUSION. Decreasing ADC values may represent a strong risk factor of harboring a poorly differentiated prostate cancer, independently of biopsy characteristics.

Entities:  

Keywords:  Gleason score; apparent diffusion coefficient; apparent diffusion coefficient ratio; diffusion-weighted imaging; prostate cancer

Mesh:

Year:  2015        PMID: 25714284     DOI: 10.2214/AJR.14.13146

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


  25 in total

1.  Apparent diffusion coefficient value is a strong predictor of unsuspected aggressiveness of prostate cancer before radical prostatectomy.

Authors:  Raphaele Renard Penna; Geraldine Cancel-Tassin; Eva Comperat; Pierre Mozer; Priscilla Léon; Justine Varinot; Morgan Roupret; Marc-Olivier Bitker; Olivier Lucidarme; Olivier Cussenot
Journal:  World J Urol       Date:  2016-02-22       Impact factor: 4.226

2.  Utility of quantitative apparent diffusion coefficient measurements and normalized apparent diffusion coefficient ratios in the diagnosis of clinically significant peripheral zone prostate cancer.

Authors:  Tan B Nguyen; Alexander Ushinsky; Albert Yang; Michael Nguyentat; Sara Fardin; Edward Uchio; Chandana Lall; Thomas Lee; Roozbeh Houshyar
Journal:  Br J Radiol       Date:  2018-06-21       Impact factor: 3.039

3.  Incremental value of high b value diffusion-weighted magnetic resonance imaging at 3-T for prediction of extracapsular extension in patients with prostate cancer: preliminary experience.

Authors:  Ayumu Kido; Tsutomu Tamada; Teruki Sone; Naoki Kanomata; Yoshiyuki Miyaji; Akira Yamamoto; Katsuyoshi Ito
Journal:  Radiol Med       Date:  2016-12-09       Impact factor: 3.469

4.  Diffusion-weighted imaging of the prostate: should we use quantitative metrics to better characterize focal lesions originating in the peripheral zone?

Authors:  Thibaut Pierre; Francois Cornud; Loïc Colléter; Frédéric Beuvon; Frantz Foissac; Nicolas B Delongchamps; Paul Legmann
Journal:  Eur Radiol       Date:  2017-11-22       Impact factor: 5.315

5.  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 6.  Is perfect the enemy of good? Weighing the evidence for biparametric MRI in prostate cancer.

Authors:  Alexander P Cole; Bjoern J Langbein; Francesco Giganti; Fiona M Fennessy; Clare M Tempany; Mark Emberton
Journal:  Br J Radiol       Date:  2021-12-16       Impact factor: 3.039

Review 7.  Prostate cancer risk stratification with magnetic resonance imaging.

Authors:  Ely R Felker; Daniel J Margolis; Nima Nassiri; Leonard S Marks
Journal:  Urol Oncol       Date:  2016-03-31       Impact factor: 3.498

8.  Multiparametric MRI appearances of primary granulomatous prostatitis.

Authors:  Su-Min Lee; Konrad Wolfe; Peter Acher; Sidath H Liyanage
Journal:  Br J Radiol       Date:  2019-04-09       Impact factor: 3.039

9.  Combined Biparametric Prostate Magnetic Resonance Imaging and Prostate-specific Antigen in the Detection of Prostate Cancer: A Validation Study in a Biopsy-naive Patient Population.

Authors:  Michele Fascelli; Soroush Rais-Bahrami; Sandeep Sankineni; Anna M Brown; Arvin K George; Richard Ho; Thomas Frye; Amichai Kilchevsky; Raju Chelluri; Steven Abboud; M Minhaj Siddiqui; Maria J Merino; Bradford J Wood; Peter L Choyke; Peter A Pinto; Baris Turkbey
Journal:  Urology       Date:  2015-12-08       Impact factor: 2.633

10.  The utility of ADC parameters in the diagnosis of clinically significant prostate cancer by 3.0-Tesla diffusion-weighted magnetic resonance imaging.

Authors:  Aylin Altan Kus
Journal:  Pol J Radiol       Date:  2021-05-05
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.