Literature DB >> 15368688

Clinical evaluation of transrectal power doppler imaging in the detection of prostate cancer.

Masahiko Inahara1, Hiroyoshi Suzuki, Hiroshi Nakamachi, Naoto Kamiya, Masaki Shimbo, Akira Komiya, Takeshi Ueda, Tomohiko Ichikawa, Koichiro Akakura, Haruo Ito.   

Abstract

To evaluate the clinical usefulness of power Doppler imaging (PDI), we compared this method to gray-scale transrectal ultrasound (TRUS) in the detection of prostate cancer. A total of 101 men with abnormally high serum prostate specific antigen (PSA) levels and/or abnormal digital rectal examination (DRE) findings were assessed using TRUS and PDI. Random systematic sextant and bilateral far lateral prostate biopsies were performed in all cases. In addition, when TRUS revealed a hypoechoic lesion or PDI revealed a hypervascular lesion (HVL), these lesions were directly biopsied. Of the 101 patients, 48 (47.5%), 42 (41.5%) and 42 (41.5%) were suspicious of having prostate cancer by DRE, TRUS and PDI, respectively. Prostate needle biopsy revealed prostate cancer in 39 patients (38.6%) and benign prostatic diseases in 62 patients (61.4%). If prostate needle biopsy was avoided when PDI was negative, then PDI eliminated the need for biopsy in 59 of the 101 patients (rate of biopsy procedures saved: 58.4%) and missed only 8 (13.6%) prostate cancers. Moreover, in 63 patients with intermediate PSA (3-10 ng/ml), the rate of biopsy procedures saved by DRE, TRUS, and PDI was 60.3%, 65.1%, and 68.3%, respectively, and the rate of cancers missed was 26.3%, 19.5%, and 14.0%, respectively. In a total of 826 specimens of TRUS-guided prostate biopsy, 126 (15.3%) specimens had adenocarcinoma. Site by site based analysis of the present series revealed 34.1% of prostate cancer sites were isoechoic and hypervascular. On a site by site basis, PDI had better sensitivity, specificity, positive predictive value and negative predictive value than TRUS. In 48 patients without abnormal DRE findings, on a site by site basis, the sensitivities of TRUS and PDI were 22.9% and 34.4%, respectively. Gleason score was associated with a positive rate of PDI on both a patient basis and site by site basis. From these results, on a patient basis, we conclude that PDI was helpful in the indication for prostate biopsy for all patients or patients with intermediate PSA level. On a site by site basis, PDI may be able to select prostate cancer sites at biopsy, in particular in patients without abnormal DRE findings.

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Year:  2004        PMID: 15368688     DOI: 10.1023/b:urol.0000034664.39784.33

Source DB:  PubMed          Journal:  Int Urol Nephrol        ISSN: 0301-1623            Impact factor:   2.370


  32 in total

1.  Kinetic study of tumor blood flow in prostatic cancer using power Doppler imaging.

Authors:  K Okihara; H Watanabe; M Kojima
Journal:  Ultrasound Med Biol       Date:  1999-01       Impact factor: 2.998

Review 2.  Screening for prostatic carcinoma.

Authors:  F Hinman
Journal:  J Urol       Date:  1991-01       Impact factor: 7.450

Review 3.  Transrectal ultrasound of the prostate: innovations and future applications.

Authors:  R G Aarnink; H P Beerlage; J J De La Rosette; F M Debruyne; H Wijkstra
Journal:  J Urol       Date:  1998-05       Impact factor: 7.450

Review 4.  The role of color Doppler and staging biopsies in prostate cancer detection.

Authors:  R L Bree
Journal:  Urology       Date:  1997-03       Impact factor: 2.649

5.  [Power Doppler ultrasonography and hypoechoic nodules of the peripheral prostate: prospectives and limitations].

Authors:  J L Sauvain; P Palascak; J M Brémon
Journal:  J Radiol       Date:  1997-07

6.  Possible use of transrectal power Doppler imaging as an indicator of microvascular density of prostate cancer.

Authors:  T Nakanouchi; K Okihara; M Kojima; O Ukimura; K Yokoyama; T Takamatsu; T Miki
Journal:  Urology       Date:  2001-10       Impact factor: 2.649

7.  Quantitative microbubble enhanced transrectal ultrasound as a tool for monitoring hormonal treatment of prostate carcinoma.

Authors:  Robert J Eckersley; J P Michiel Sedelaar; Martin J K Blomley; Hessel Wijkstra; Nandita M deSouza; David O Cosgrove; Jean J M C H de la Rosette
Journal:  Prostate       Date:  2002-06-01       Impact factor: 4.104

Review 8.  Prostate specific antigen: a decade of discovery--what we have learned and where we are going.

Authors:  T J Polascik; J E Oesterling; A W Partin
Journal:  J Urol       Date:  1999-08       Impact factor: 7.450

9.  The application of three-dimensional contrast-enhanced ultrasound to measure volume of affected tissue after HIFU treatment for localized prostate cancer.

Authors:  J P Sedelaar; R G Aarnink; G J van Leenders; H P Beerlage; F M Debruyne; H Wijkstra; J J de La Rosette
Journal:  Eur Urol       Date:  2000-05       Impact factor: 20.096

10.  The appearance of prostate cancer on transrectal ultrasonography: correlation of imaging and pathological examinations.

Authors:  K Shinohara; T M Wheeler; P T Scardino
Journal:  J Urol       Date:  1989-07       Impact factor: 7.450

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  4 in total

Review 1.  A comparison of the diagnostic performance of systematic versus ultrasound-guided biopsies of prostate cancer.

Authors:  Stijn W T P J Heijmink; Hilco van Moerkerk; Lambertus A L M Kiemeney; J Alfred Witjes; Ferdinand Frauscher; Jelle O Barentsz
Journal:  Eur Radiol       Date:  2006-01-04       Impact factor: 5.315

2.  Analysis of repeated 24-core saturation prostate biopsy: Inverse association between asymptomatic histological inflammation and prostate cancer detection.

Authors:  Tomonori Kato; Akira Komiya; Akihiro Morii; Hiroaki Iida; Takatoshi Ito; Hideki Fuse
Journal:  Oncol Lett       Date:  2016-06-09       Impact factor: 2.967

3.  Evaluation of Prostatic Lesions by Transrectal Ultrasound, Color Doppler, and the Histopathological Correlation.

Authors:  Sachin Khanduri; Gaurav Katyal; Aakshit Goyal; Saurav Bhagat; Santosh Yadav; Tarim Usmani; Nikita Singh; Mriganki Chaudhary; Shobha Khanduri
Journal:  Cureus       Date:  2017-07-03

4.  A Preliminary Study on Exploring a potential Ultrasound Method for Predicting Cervical Cancer.

Authors:  Qiuqing Zheng; Chunyi Lin; Dong Xu; Huicheng Zhao; Mei Song; Di Ou; Le Shi
Journal:  J Cancer       Date:  2022-01-01       Impact factor: 4.207

  4 in total

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