Literature DB >> 17167820

Apparent diffusion coefficient of the prostate in men prior to biopsy: determination of a cut-off value to predict malignancy of the peripheral zone.

Virendra Kumar1, N R Jagannathan, Rajeev Kumar, S Thulkar, S Dutta Gupta, S N Dwivedi, A K Hemal, N P Gupta.   

Abstract

Determination of the apparent diffusion coefficient (ADC) of the prostate in men (n = 60) with raised prostate-specific antigen (PSA) or an abnormal digital rectal examination (DRE) prior to transrectal ultrasound (TRUS) guided biopsy using endorectal DWI is reported. Patients were categorized into different groups based on their PSA levels. The mean ADC was calculated from a number of regions of interest (ROIs) for the whole of the peripheral zone (PZ) and the central gland (CG). A total of 1108 ROIs were analyzed from 60 patients. The mean ADC value of the PZ was higher than that of the CG in controls. A total of 23 out of 60 patients were positive for malignancy on biopsy, and the mean ADC of the PZ was lower in these patients compared with those who were negative. Moreover, the mean ADC obtained for the whole of the PZ of the prostate in different groups of patients and controls showed a decreasing trend. A plot between PSA and mean ADC for the PZ showed non-linear association with logarithmic decrease in ADC. The mean ADC of the CG was not significantly different in patients who were positive or negative for malignancy in biopsy. In addition, a cut-off value of 1.17 x 10(-3) mm2/s (sensitivity = 73% and specificity = 74%, area under the curve = 0.83) for the mean ADC for the whole of the PZ of patients was determined by using the receiver operating characteristic curve (ROC) to predict malignancy of the PZ. Copyright 2006 John Wiley & Sons, Ltd.

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Year:  2007        PMID: 17167820     DOI: 10.1002/nbm.1114

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  14 in total

1.  Comparison of quantitative apparent diffusion coefficient parameters with prostate imaging reporting and data system V2 assessment for detection of clinically significant peripheral zone prostate cancer.

Authors:  Elmira Hassanzadeh; Francesco Alessandrino; Olutayo I Olubiyi; Daniel I Glazer; Robert V Mulkern; Andriy Fedorov; Clare M Tempany; Fiona M Fennessy
Journal:  Abdom Radiol (NY)       Date:  2018-05

Review 2.  Current role of multiparametric magnetic resonance imaging for prostate cancer.

Authors:  Romaric Loffroy; Olivier Chevallier; Morgan Moulin; Sylvain Favelier; Pierre-Yves Genson; Pierre Pottecher; Gilles Crehange; Alexandre Cochet; Luc Cormier
Journal:  Quant Imaging Med Surg       Date:  2015-10

Review 3.  Emerging MR methods for improved diagnosis of prostate cancer by multiparametric MRI.

Authors:  Durgesh Kumar Dwivedi; Naranamangalam R Jagannathan
Journal:  MAGMA       Date:  2022-07-22       Impact factor: 2.533

Review 4.  Diffusion-weighted imaging with apparent diffusion coefficient mapping and spectroscopy in prostate cancer.

Authors:  Michael A Jacobs; Ronald Ouwerkerk; Kyle Petrowski; Katarzyna J Macura
Journal:  Top Magn Reson Imaging       Date:  2008-12

Review 5.  DW-MRI of the urogenital tract: applications in oncology.

Authors:  G Petralia; H C Thoeny
Journal:  Cancer Imaging       Date:  2010-10-04       Impact factor: 3.909

Review 6.  Multiparametric MRI of prostate cancer: an update on state-of-the-art techniques and their performance in detecting and localizing prostate cancer.

Authors:  John V Hegde; Robert V Mulkern; Lawrence P Panych; Fiona M Fennessy; Andriy Fedorov; Stephan E Maier; Clare M C Tempany
Journal:  J Magn Reson Imaging       Date:  2013-05       Impact factor: 4.813

Review 7.  Role of magnetic resonance methods in the evaluation of prostate cancer: an Indian perspective.

Authors:  Naranamangalam R Jagannathan; Virendra Kumar; Rajeev Kumar; Sanjay Thulkar
Journal:  MAGMA       Date:  2008-07-17       Impact factor: 2.310

8.  MR Imaging of Prostate Cancer: Diffusion Weighted Imaging and (3D) Hydrogen 1 (H) MR Spectroscopy in Comparison with Histology.

Authors:  J Yamamura; G Salomon; R Buchert; A Hohenstein; J Graessner; H Huland; M Graefen; G Adam; U Wedegaetner
Journal:  Radiol Res Pract       Date:  2010-07-20

Review 9.  Multiparametric-MRI in diagnosis of prostate cancer.

Authors:  Sangeet Ghai; Masoom A Haider
Journal:  Indian J Urol       Date:  2015 Jul-Sep

10.  The Correlation between Diffusion-Weighted Imaging and Histopathological Evaluation of 356 Prostate Biopsy Sites in Patients with Prostatic Diseases.

Authors:  R Kilinç; O G Doluoglu; B Sakman; D S Ciliz; E Yüksel; O Adsan; M Cetinkaya
Journal:  ISRN Urol       Date:  2012-06-26
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