Literature DB >> 17090712

Prediction of seminal vesicle invasion in prostate cancer: incremental value of adding endorectal MR imaging to the Kattan nomogram.

Liang Wang1, Hedvig Hricak, Michael W Kattan, Hui Ni Chen, Kentaro Kuroiwa, Halley F Eisenberg, Peter T Scardino.   

Abstract

PURPOSE: To retrospectively determine whether endorectal magnetic resonance (MR) imaging findings contribute incremental value to the Kattan nomogram for predicting seminal vesicle invasion (SVI) in patients with prostate cancer.
MATERIALS AND METHODS: The institutional review board issued a waiver of authorization, which included a waiver of informed consent, for this HIPAA-compliant study. From October 2000 through January 2005, 573 patients (mean age, 58.3 years; age range, 36-86 years) underwent endorectal MR imaging before prostate cancer surgery. The endorectal MR imaging results had been prospectively interpreted by seven radiologists, and the likelihood of SVI was retrospectively scored on the basis of radiologists' written reports. MR imaging findings, individual clinical variables (serum prostate-specific antigen [PSA] level, Gleason grade, clinical stage, greatest percentage of cancer in all biopsy cores, percentage of positive cores in all biopsy cores, and perineural invasion), and the Kattan nomogram were evaluated with respect to SVI prediction; surgical pathologic analysis was used as the reference standard. Logistic regression and receiver operating characteristic (ROC) curve analyses were performed.
RESULTS: At pathologic analysis, 28 (4.9%) of 573 patients had SVI. At univariate analysis, endorectal MR imaging results and all clinical variables except the percentage of positive biopsy cores were significantly associated with SVI (P<.02); endorectal MR imaging (0.76) had a larger area under the ROC curve (AUC) than any clinical variable (0.62-0.73). At multivariate analysis, endorectal MR imaging results, Gleason grade, PSA level, and the percentage of cancer in all biopsy cores were significantly associated with SVI (P<or=.02). The Kattan nomogram plus endorectal MR imaging (0.87) had a significantly larger (P<.05) AUC than either endorectal MR imaging alone (0.76) or the Kattan nomogram alone (0.80).
CONCLUSION: The addition of endorectal MR imaging contributes significant incremental value to the Kattan nomogram for predicting SVI. Copyright (c) RSNA, 2006.

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Year:  2006        PMID: 17090712     DOI: 10.1148/radiol.2421051254

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


  41 in total

1.  Ultra-high-b-value diffusion-weighted MR imaging for the detection of prostate cancer: evaluation in 201 cases with histopathological correlation.

Authors:  Kazuhiro Katahira; Taro Takahara; Thomas C Kwee; Seitaro Oda; Yasuko Suzuki; Shoji Morishita; Kosuke Kitani; Yasuyuki Hamada; Mitsuhiko Kitaoka; Yasuyuki Yamashita
Journal:  Eur Radiol       Date:  2010-07-18       Impact factor: 5.315

2.  Prostate cancer managed with active surveillance: role of anatomic MR imaging and MR spectroscopic imaging.

Authors:  Vincent Fradet; John Kurhanewicz; Janet E Cowan; Alexander Karl; Fergus V Coakley; Katsuto Shinohara; Peter R Carroll
Journal:  Radiology       Date:  2010-05-26       Impact factor: 11.105

3.  Prediction of patient-specific risk and percentile cohort risk of pathological stage outcome using continuous prostate-specific antigen measurement, clinical stage and biopsy Gleason score.

Authors:  Ying Huang; Sumit Isharwal; Alexander Haese; Felix K H Chun; Danil V Makarov; Ziding Feng; Misop Han; Elizabeth Humphreys; Jonathan I Epstein; Alan W Partin; Robert W Veltri
Journal:  BJU Int       Date:  2010-09-28       Impact factor: 5.588

4.  PET/CT imaging of recurrent prostate cancer.

Authors:  B Scher; M Seitz
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-01       Impact factor: 9.236

5.  Seminal vesicle invasion in prostate cancer: prediction with combined T2-weighted and diffusion-weighted MR imaging.

Authors:  Jing Ren; Yi Huan; He Wang; YaLi Ge; YingJuan Chang; Hong Yin; LiJun Sun
Journal:  Eur Radiol       Date:  2009-06-10       Impact factor: 5.315

6.  Preoperative mp-MRI of the prostate provides little information about staging of prostate carcinoma in daily clinical practice.

Authors:  Andrea Billing; Alexander Buchner; Christian Stief; Alexander Roosen
Journal:  World J Urol       Date:  2014-11-29       Impact factor: 4.226

7.  Seminal vesicle invasion in prostate cancer: evaluation by using multiparametric endorectal MR imaging.

Authors:  Fatma Nur Soylu; Yahui Peng; Yulei Jiang; Shiyang Wang; Christine Schmid-Tannwald; Ila Sethi; Scott Eggener; Tatjana Antic; Aytekin Oto
Journal:  Radiology       Date:  2013-02-25       Impact factor: 11.105

Review 8.  Risk stratification of prostate cancer: integrating multiparametric MRI, nomograms and biomarkers.

Authors:  Matthew J Watson; Arvin K George; Mahir Maruf; Thomas P Frye; Akhil Muthigi; Michael Kongnyuy; Subin G Valayil; Peter A Pinto
Journal:  Future Oncol       Date:  2016-07-12       Impact factor: 3.404

Review 9.  Critical review of prostate cancer predictive tools.

Authors:  Shahrokh F Shariat; Michael W Kattan; Andrew J Vickers; Pierre I Karakiewicz; Peter T Scardino
Journal:  Future Oncol       Date:  2009-12       Impact factor: 3.404

Review 10.  Advances in MR spectroscopy of the prostate.

Authors:  John Kurhanewicz; Daniel B Vigneron
Journal:  Magn Reson Imaging Clin N Am       Date:  2008-11       Impact factor: 2.266

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