Literature DB >> 10657154

Dynamic contrast enhanced MRI of prostate cancer: correlation with morphology and tumour stage, histological grade and PSA.

A R Padhani1, C J Gapinski, D A Macvicar, G J Parker, J Suckling, P B Revell, M O Leach, D P Dearnaley, J E Husband.   

Abstract

AIM: To quantify MRI enhancement characteristics of normal and abnormal prostatic tissues and to correlate these with tumour stage, histological grade and tumour markers.
MATERIALS AND METHODS: Quantitative gradient recalled echo MR images were obtained following bolus injection of gadopentetate dimeglumine in 48 patients with prostate cancer. Turbo spin-echo T2-weighted images at the same anatomical position were reviewed for the presence of tumours (45 regions), normal peripheral zone (33 regions), and normal appearing central gland (30 regions). Time-signal intensity parameters (onset time, mean gradient and maximal amplitude of enhancement and wash-out score) and modelling parameters (permeability surface area product, lesion leakage space and maximum gadolinium concentration) were correlated with tumour stage, histological grade (Gleason score) and serum prostatic specific antigen (PSA) levels.
RESULTS: Significant differences were noted between peripheral zone and tumour with respect to signal intensity and modelling parameters (P = 0.0001), except onset time. No differences between central gland and tumour enhancement values were seen. There was weak correlation between MRI tumour stage and tumour vascular permeability (r(2) = 12%; P = 0.02) and maximum tumour gadolinium concentration (r(2) = 14%; P = 0.015). However, no significant correlations were seen with Gleason score or PSA levels.
CONCLUSION: Quantification of MR contrast enhancement characteristics allows tissue discrimination in prostate cancer consistent with known variations in microvessel density estimates. Copyright 2000 The Royal College of Radiologists.

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Year:  2000        PMID: 10657154     DOI: 10.1053/crad.1999.0327

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  67 in total

1.  Prediction of prostate cancer extracapsular extension with high spatial resolution dynamic contrast-enhanced 3-T MRI.

Authors:  B Nicolas Bloch; Elizabeth M Genega; Daniel N Costa; Ivan Pedrosa; Martin P Smith; Herbert Y Kressel; Long Ngo; Martin G Sanda; William C Dewolf; Neil M Rofsky
Journal:  Eur Radiol       Date:  2012-06-03       Impact factor: 5.315

2.  Dynamic contrast-enhanced MRI of the prostate: is this the way to proceed for characterization of prostatic carcinoma?

Authors:  R H Oyen
Journal:  Eur Radiol       Date:  2003-05       Impact factor: 5.315

Review 3.  Methods for volume assessment of prostate cancer.

Authors:  Heinz-Peter Schlemmer; Stefan Corvin
Journal:  Eur Radiol       Date:  2004-02-06       Impact factor: 5.315

4.  Combined prostate diffusion tensor imaging and dynamic contrast enhanced MRI at 3T--quantitative correlation with biopsy.

Authors:  Piotr Kozlowski; Silvia D Chang; Ran Meng; Burkhard Mädler; Robert Bell; Edward C Jones; S Larry Goldenberg
Journal:  Magn Reson Imaging       Date:  2010-04-13       Impact factor: 2.546

5.  Validating multiparametric MRI for diagnosis and monitoring of prostate cancer in patients for active surveillance.

Authors:  Iqbal Sahibzada; Deepak Batura; Giles Hellawell
Journal:  Int Urol Nephrol       Date:  2016-01-12       Impact factor: 2.370

Review 6.  Prostate MR imaging at high-field strength: evolution or revolution?

Authors:  Olivier Rouvière; Robert P Hartman; Denis Lyonnet
Journal:  Eur Radiol       Date:  2005-09-10       Impact factor: 5.315

7.  Semiquantitative imaging measurement of baseline and vasomodulated normal prostatic blood flow using sildenafil.

Authors:  J R Haaga; A Exner; B Fei; A Seftel
Journal:  Int J Impot Res       Date:  2006-05-25       Impact factor: 2.896

8.  Diffusion tensor imaging of the normal prostate at 3 Tesla.

Authors:  Bengi Gürses; Neslihan Kabakci; Arzu Kovanlikaya; Zeynep Firat; Ali Bayram; Aziz Müfit Uluğ; Aziz Müfit Uluo; Ilhami Kovanlikaya
Journal:  Eur Radiol       Date:  2007-10-25       Impact factor: 5.315

9.  A comprehensive segmentation, registration, and cancer detection scheme on 3 Tesla in vivo prostate DCE-MRI.

Authors:  Satish Viswanath; B Nicolas Bloch; Elisabeth Genega; Neil Rofsky; Robert Lenkinski; Jonathan Chappelow; Robert Toth; Anant Madabhushi
Journal:  Med Image Comput Comput Assist Interv       Date:  2008

10.  Temporal analysis of tumor heterogeneity and volume for cervical cancer treatment outcome prediction: preliminary evaluation.

Authors:  Jeffrey W Prescott; Dongqing Zhang; Jian Z Wang; Nina A Mayr; William T C Yuh; Joel Saltz; Metin Gurcan
Journal:  J Digit Imaging       Date:  2009-01-27       Impact factor: 4.056

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