Literature DB >> 23878284

Transition zone prostate cancer: incremental value of diffusion-weighted endorectal MR imaging in tumor detection and assessment of aggressiveness.

Sung Il Jung1, Olivio F Donati, Hebert A Vargas, Debra Goldman, Hedvig Hricak, Oguz Akin.   

Abstract

PURPOSE: To evaluate the incremental value of using diffusion-weighted magnetic resonance (MR) imaging in addition to T2-weighted imaging for the detection of prostate cancer in the transition zone and the assessment of tumor aggressiveness.
MATERIALS AND METHODS: This retrospective HIPAA-compliant institutional review board-approved study included 156 consecutive patients (median age, 59.2 years) who underwent MR imaging before radical prostatectomy. Two readers who were blinded to patient data independently recorded their levels of suspicion on a five-point scale of the presence of transition zone tumors on the basis of T2-weighted imaging alone and then, 4 weeks later, diffusion-weighted imaging and T2-weighted imaging together. Apparent diffusion coefficients (ADCs) were measured in transition zone cancers and glandular and stromal benign prostatic hyperplasia. Areas under the receiver operating characteristic curves were used to evaluate detection accuracy, and generalized linear models were used to test ADC differences between benign and malignant prostate regions. Whole-mount step-section histopathologic examination was the reference standard.
RESULTS: In overall tumor detection, addition of diffusion-weighted imaging to T2-weighted imaging improved the areas under the receiver operating characteristic curves for readers 1 and 2 from 0.60 and 0.60 to 0.75 and 0.71, respectively, at the patient level (P = .004 for reader 1 and P = .027 for reader 2) and from 0.64 and 0.63 to 0.73 and 0.68, respectively, at the sextant level (P = .001 for reader 1 and P = .100 for reader 2). Least squares mean ADCs (× 10(-3) mm(2)/sec) in glandular and stromal benign prostatic hyperplasia were 1.44 and 1.09, respectively. Mean ADCs were inversely associated with tumor Gleason scores (1.10, 0.98, 0.87, and 0.75 for Gleason scores of 3 + 3, 3 + 4, 4 + 3, and ≥ 4 + 4, respectively).
CONCLUSION: Use of diffusion-weighted imaging in addition to T2-weighted imaging improved detection of prostate cancer in the transition zone, and tumor ADCs were inversely associated with tumor Gleason scores in the transition zone. RSNA, 2013

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Year:  2013        PMID: 23878284     DOI: 10.1148/radiol.13130029

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  30 in total

1.  Assessment of Prostate Cancer Aggressiveness by Use of the Combination of Quantitative DWI and Dynamic Contrast-Enhanced MRI.

Authors:  Andreas M Hötker; Yousef Mazaheri; Ömer Aras; Junting Zheng; Chaya S Moskowitz; Tatsuo Gondo; Kazuhiro Matsumoto; Hedvig Hricak; Oguz Akin
Journal:  AJR Am J Roentgenol       Date:  2016-02-22       Impact factor: 3.959

Review 2.  Addressing the need for repeat prostate biopsy: new technology and approaches.

Authors:  Michael L Blute; E Jason Abel; Tracy M Downs; Frederick Kelcz; David F Jarrard
Journal:  Nat Rev Urol       Date:  2015-07-14       Impact factor: 14.432

3.  Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores.

Authors:  Andreas Wibmer; Hedvig Hricak; Tatsuo Gondo; Kazuhiro Matsumoto; Harini Veeraraghavan; Duc Fehr; Junting Zheng; Debra Goldman; Chaya Moskowitz; Samson W Fine; Victor E Reuter; James Eastham; Evis Sala; Hebert Alberto Vargas
Journal:  Eur Radiol       Date:  2015-05-21       Impact factor: 5.315

Review 4.  Multiparametric MRI for prostate cancer diagnosis: current status and future directions.

Authors:  Armando Stabile; Francesco Giganti; Andrew B Rosenkrantz; Samir S Taneja; Geert Villeirs; Inderbir S Gill; Clare Allen; Mark Emberton; Caroline M Moore; Veeru Kasivisvanathan
Journal:  Nat Rev Urol       Date:  2019-07-17       Impact factor: 14.432

5.  The diagnostic value of PI-RADS V1 and V2 using multiparametric MRI in transition zone prostate clinical cancer.

Authors:  Ximing Wang; Jie Bao; Xiaoxia Ping; Chunhong Hu; Jianquan Hou; Fenglin Dong; Lingchuan Guo
Journal:  Oncol Lett       Date:  2018-06-28       Impact factor: 2.967

Review 6.  Multiparametric MRI in prostate cancer management.

Authors:  Linda M Johnson; Baris Turkbey; William D Figg; Peter L Choyke
Journal:  Nat Rev Clin Oncol       Date:  2014-05-20       Impact factor: 66.675

7.  Development and validation of a logistic regression model to distinguish transition zone cancers from benign prostatic hyperplasia on multi-parametric prostate MRI.

Authors:  Yuji Iyama; Takeshi Nakaura; Kazuhiro Katahira; Ayumi Iyama; Yasunori Nagayama; Seitaro Oda; Daisuke Utsunomiya; Yasuyuki Yamashita
Journal:  Eur Radiol       Date:  2017-03-13       Impact factor: 5.315

Review 8.  Functional MR Imaging Techniques in Oncology in the Era of Personalized Medicine.

Authors:  Matthias R Benz; Hebert Alberto Vargas; Evis Sala
Journal:  Magn Reson Imaging Clin N Am       Date:  2015-09-26       Impact factor: 2.266

9.  Prostate cancer: performance characteristics of combined T₂W and DW-MRI scoring in the setting of template transperineal re-biopsy using MR-TRUS fusion.

Authors:  Edward M Lawrence; Sarah Y W Tang; Tristan Barrett; Brendan Koo; Debra A Goldman; Anne Y Warren; Richard G Axell; Andrew Doble; Ferdia A Gallagher; Vincent J Gnanapragasam; Christof Kastner; Evis Sala
Journal:  Eur Radiol       Date:  2014-04-18       Impact factor: 5.315

10.  Staging of prostatic carcinoma at 1.5-T MRI: correlation of a simplified MRI exam with whole-mount radical prostatectomy specimens.

Authors:  Andries Van Holsbeeck; Annemarie Degroote; Liesbeth De Wever; Els Vanhoutte; Frederik De Keyzer; Hendrik Van Poppel; Raymond Oyen
Journal:  Br J Radiol       Date:  2016-05-16       Impact factor: 3.039

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