Literature DB >> 18957714

The role of magnetic resonance imaging (MRI) in prostate cancer imaging and staging at 1.5 and 3 Tesla: the Beth Israel Deaconess Medical Center (BIDMC) approach.

B Nicolas Bloch1, Robert E Lenkinski, Neil M Rofsky.   

Abstract

Management decisions for patients with prostate cancer present a dilemma for both patients and their clinicians because prostate cancers demonstrate a wide range in biologic activity, with the majority of cases not leading to a prostate cancer related death. Furthermore, the current treatment options have significant side effects, such as incontinence, rectal injury and impotence. Key elements for guiding appropriate treatment include: distinction of organ-confined disease from extracapsular extension (ECE); and determination of tumor volume and tumor grade, none of which have been satisfactorily accomplished in today's pre-treatment paradigm. Magnetic resonance imaging (MRI) has the capability to assess prostate tissue, both functionally and morphologically. MRI as a staging tool has not shown enough consistency or sufficient accuracy for widespread adoption in clinical practice; yet, recent technical developments in MRI have yielded improved results. At our institution we have combined the use of new endorectal 3 Tesla MRI technology, T2-weighted, and high spatial resolution dynamic-contrast enhanced (DCE) MRI to non-invasively assess the prostate with higher signal-to-noise ratio and spatial resolution than previously achieved. This approach allows assessment of prostate-tissue morphology and kinetics, thus providing a non-invasive tool for tumor detection and staging and, consequently, directing biopsy and treatment specifically to diseased areas for a pre-treatment evaluation that can assist in the rational selection of patients for appropriate prostate cancer therapy.

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Mesh:

Year:  2008        PMID: 18957714      PMCID: PMC2739836          DOI: 10.3233/cbm-2008-44-507

Source DB:  PubMed          Journal:  Cancer Biomark        ISSN: 1574-0153            Impact factor:   4.388


  84 in total

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Journal:  Am J Pathol       Date:  1993-08       Impact factor: 4.307

5.  In vivo measurement of the apparent diffusion coefficient in normal and malignant prostatic tissues using echo-planar imaging.

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Journal:  J Magn Reson Imaging       Date:  2002-08       Impact factor: 4.813

6.  Optimization of prostate carcinoma staging: comparison of imaging and clinical methods.

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7.  A nomogram for predicting a positive repeat prostate biopsy in patients with a previous negative biopsy session.

Authors:  Ernesto Lopez-Corona; Makoto Ohori; Peter T Scardino; Victor E Reuter; Mithat Gonen; Michael W Kattan
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Review 8.  Bortezomib as a potential treatment for prostate cancer.

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Journal:  Cancer Res       Date:  2004-08-01       Impact factor: 12.701

9.  Impact of prior biopsy scheme on pathologic features of cancers detected on repeat biopsies.

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Journal:  Urol Oncol       Date:  2004 Jan-Feb       Impact factor: 3.498

10.  Tumor-associated angiogenesis in prostate cancer.

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Journal:  Anticancer Res       Date:  1993 Nov-Dec       Impact factor: 2.480

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  11 in total

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Authors:  Mehee Choi; Arthur Y Hung
Journal:  Curr Urol Rep       Date:  2010-05       Impact factor: 3.092

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

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Journal:  Int Urol Nephrol       Date:  2016-01-12       Impact factor: 2.370

3.  A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling.

Authors:  Maysam Shahedi; Martin Halicek; Qinmei Li; Lizhi Liu; Zhenfeng Zhang; Sadhna Verma; David M Schuster; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2019-03-08

4.  Elastic registration of multimodal prostate MRI and histology via multiattribute combined mutual information.

Authors:  Jonathan Chappelow; B Nicolas Bloch; Neil Rofsky; Elizabeth Genega; Robert Lenkinski; William DeWolf; Anant Madabhushi
Journal:  Med Phys       Date:  2011-04       Impact factor: 4.071

5.  Rectal cancer: 3D dynamic contrast-enhanced MRI; correlation with microvascular density and clinicopathological features.

Authors:  W W Yao; H Zhang; B Ding; T Fu; H Jia; L Pang; L Song; W Xu; Q Song; K Chen; Z Pan
Journal:  Radiol Med       Date:  2011-02-01       Impact factor: 3.469

6.  Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 Tesla endorectal, in vivo T2-weighted MR imagery.

Authors:  Satish E Viswanath; Nicholas B Bloch; Jonathan C Chappelow; Robert Toth; Neil M Rofsky; Elizabeth M Genega; Robert E Lenkinski; Anant Madabhushi
Journal:  J Magn Reson Imaging       Date:  2012-02-15       Impact factor: 4.813

7.  Class-specific weighting for Markov random field estimation: application to medical image segmentation.

Authors:  James P Monaco; Anant Madabhushi
Journal:  Med Image Anal       Date:  2012-07-16       Impact factor: 8.545

8.  Incorporating Oxygen-Enhanced MRI into Multi-Parametric Assessment of Human Prostate Cancer.

Authors:  Heling Zhou; Rami R Hallac; Qing Yuan; Yao Ding; Zhongwei Zhang; Xian-Jin Xie; Franto Francis; Claus G Roehrborn; R Douglas Sims; Daniel N Costa; Ganesh V Raj; Ralph P Mason
Journal:  Diagnostics (Basel)       Date:  2017-08-24

9.  Future role of ultrasound and MR imaging in prostate cancer: Editorial Comment on: T. Szopinski, A. Nowicki, F. Zaťura, T. Gołąbek and P. Chłosta Novel trends in transrectal ultrasound imaging of prostate gland carcinoma.

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Journal:  J Ultrason       Date:  2015-03-30

10.  The longitudinal effect of ejaculation on seminal vesicle fluid volume and whole-prostate ADC as measured on prostate MRI.

Authors:  Tristan Barrett; James Tanner; Andrew B Gill; Rhys A Slough; James Wason; Ferdia A Gallagher
Journal:  Eur Radiol       Date:  2017-07-04       Impact factor: 5.315

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