Literature DB >> 18539890

Prostate cancer: relationships between postbiopsy hemorrhage and tumor detectability at MR diagnosis.

Tsutomu Tamada1, Teruki Sone, Yoshimasa Jo, Akira Yamamoto, Takenori Yamashita, Naoto Egashira, Shigeki Imai, Masao Fukunaga.   

Abstract

PURPOSE: To retrospectively evaluate the influence of postbiopsy hemorrhage on the accuracy of tumor detection at T2-weighted magnetic resonance (MR) imaging, dynamic contrast material-enhanced MR imaging, and diffusion-weighted (DW) MR imaging of prostate cancer, with histologic findings as the reference standard.
MATERIALS AND METHODS: The institutional review board approved this study and waived the requirement for informed consent. Forty male patients aged 62-84 years (mean age, 71 years) who had prostate cancer underwent MR imaging of the prostate gland after ultrasonographically (US) guided systematic 12-core-specimen biopsy. The mean time between biopsy and MR imaging was 24 days (range, 6-54 days). T1-weighted, T2-weighted, dynamic contrast-enhanced, and DW imaging examinations were performed at 1.5 T. The prostate was divided, according to the biopsy sites, into eight regions on the MR images. Three reviewers in consensus evaluated each region for hemorrhage and prostate cancer. Statistical evaluations were performed with Mann-Whitney U, Ryan, and Spearman rank correlation tests.
RESULTS: Intraglandular hemorrhage was observed in 38 (95%) patients and significantly more often in the peripheral zone (PZ) than in the transition zone (TZ) (P < .001). Degree of hemorrhage did not correlate significantly (P = .536) with time between biopsy and MR imaging. The sensitivity, specificity, and accuracy of combined T2-weighted, dynamic contrast-enhanced, and DW imaging in the diagnosis of prostate cancer were 69%, 85%, and 78%, respectively. Sensitivity and specificity were lower for the TZ than for the PZ. Degree of hemorrhage was significantly lower in regions of positive biopsy findings than in regions of negative biopsy findings (P = .001) and correlated negatively with tumor size (P = .043).
CONCLUSION: Interpretation of combined T2-weighted, dynamic contrast-enhanced, and DW MR image findings can yield reasonable diagnostic accuracy in both the PZ (80% [191 of 240 regions]) and the TZ (74% [59 of 80 regions]).

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Year:  2008        PMID: 18539890     DOI: 10.1148/radiol.2482070157

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


  41 in total

1.  Value of the hemorrhage exclusion sign on T1-weighted prostate MR images for the detection of prostate cancer.

Authors:  Tristan Barrett; Hebert Alberto Vargas; Oguz Akin; Debra A Goldman; Hedvig Hricak
Journal:  Radiology       Date:  2012-04-02       Impact factor: 11.105

Review 2.  Diffusion weighted imaging in prostate cancer.

Authors:  Cher Heng Tan; Jihong Wang; Vikas Kundra
Journal:  Eur Radiol       Date:  2010-10-09       Impact factor: 5.315

3.  Determination of the cutoff level of apparent diffusion coefficient values for detection of prostate cancer.

Authors:  Masako Nagayama; Yuji Watanabe; Akito Terai; Tohru Araki; Kenji Notohara; Akira Okumura; Yoshiki Amoh; Takayoshi Ishimori; Satoru Nakashita; Yoshihiro Dodo
Journal:  Jpn J Radiol       Date:  2011-09-01       Impact factor: 2.374

Review 4.  Diffusion weighted magnetic resonance imaging and its recent trend-a survey.

Authors:  Geetha Soujanya Chilla; Cher Heng Tan; Chenjie Xu; Chueh Loo Poh
Journal:  Quant Imaging Med Surg       Date:  2015-06

5.  The Influence of Background Signal Intensity Changes on Cancer Detection in Prostate MRI.

Authors:  Andreas M Hötker; Evelyn Dappa; Yousef Mazaheri; Behfar Ehdaie; Junting Zheng; Marinela Capanu; Hedvig Hricak; Oguz Akin
Journal:  AJR Am J Roentgenol       Date:  2019-02-04       Impact factor: 3.959

6.  Can 3T multiparametric magnetic resonance imaging accurately detect prostate cancer extracapsular extension?

Authors:  Yannick Cerantola; Massimo Valerio; Aida Kawkabani Marchini; Jean-Yves Meuwly; Patrice Jichlinski
Journal:  Can Urol Assoc J       Date:  2013 Nov-Dec       Impact factor: 1.862

Review 7.  Restriction spectrum imaging: An evolving imaging biomarker in prostate MRI.

Authors:  Ryan L Brunsing; Natalie M Schenker-Ahmed; Nathan S White; J Kellogg Parsons; Christopher Kane; Joshua Kuperman; Hauke Bartsch; Andrew Karim Kader; Rebecca Rakow-Penner; Tyler M Seibert; Daniel Margolis; Steven S Raman; Carrie R McDonald; Nikdokht Farid; Santosh Kesari; Donna Hansel; Ahmed Shabaik; Anders M Dale; David S Karow
Journal:  J Magn Reson Imaging       Date:  2016-08-16       Impact factor: 4.813

8.  Relationship between T2 relaxation and apparent diffusion coefficient in malignant and non-malignant prostate regions and the effect of peripheral zone fractional volume.

Authors:  C J Simpkin; V A Morgan; S L Giles; S F Riches; C Parker; N M deSouza
Journal:  Br J Radiol       Date:  2013-02-20       Impact factor: 3.039

Review 9.  Imaging techniques for prostate cancer: implications for focal therapy.

Authors:  Baris Turkbey; Peter A Pinto; Peter L Choyke
Journal:  Nat Rev Urol       Date:  2009-04       Impact factor: 14.432

Review 10.  Multidisciplinary functional MR imaging for prostate cancer.

Authors:  Jeong Kon Kim; Yun-Jin Jang; Gyunggoo Cho
Journal:  Korean J Radiol       Date:  2009 Nov-Dec       Impact factor: 3.500

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