Literature DB >> 22196747

Measurement of PSA density by 3 imaging modalities and its correlation with the PSA density of radical prostatectomy specimen.

Ioannis Varkarakis1, Adam Zarkadoulias, Andreas Bourdoumis, Eleutherios Chatzidarellis, Nikolaos Antoniou, Charalambos Deliveliotis.   

Abstract

OBJECTIVE: To evaluate the difference between the PSA density (PSAD) calculated with 3 imaging modalities and the PSAD of the radical prostatectomy specimen.
MATERIALS AND METHODS: The PSAD of 60 men with clinically localized prostate cancer was calculated with transabdominal ultrasound (TAUS), transrectal ultrasound (TRUS), and computed tomography (CT) before radical retropubic prostatectomy, and was compared with the PSAD of the surgical specimen using the paired t-test. The relationship of the real prostate volume and the difference between the PSAD calculated with the 3 imaging modalities and that of the PSAD of the specimen was analyzed using Pearson's correlation coefficient. Finally, the sensitivity of PSAD calculated with the examined imaging modalities and the specimen was also studied.
RESULTS: The mean difference between the PSAD calculated by each one of the 3 imaging modalities and the PSAD of the specimen was -0.01 ng/ml/cm(3) (P = 0.28) for TAUS, 0.01 ng/ml/cm(3) (P = 0.37) for TRUS, and -0.03 ng/ml/cm(3) (P = 0.001) for CT. This difference has not been shown to depend on the real prostate volume according to Pearson's correlation coefficient, which was 0.056 (P = 0.673) for TAUS, -0.014 (P = 0.917) for TRUS, and 0.184 (P = 0.159) for CT. The sensitivity of PSAD calculated with TAUS, TRUS, and CT was 58.3%, 65%, and 45%, respectively, while that of the specimen was 70%.
CONCLUSIONS: Although PSAD showed a moderate sensitivity, TRUS and TAUS are the imaging modalities that calculate it closer to the real PSAD of the specimen.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Computed tomography; PSA density; Transabdominal ultrasound; Transrectal ultrasound

Mesh:

Substances:

Year:  2011        PMID: 22196747     DOI: 10.1016/j.urolonc.2011.11.033

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   3.498


  3 in total

1.  Machine learning-based prediction of invisible intraprostatic prostate cancer lesions on 68 Ga-PSMA-11 PET/CT in patients with primary prostate cancer.

Authors:  Zhilong Yi; Siqi Hu; Xiaofeng Lin; Qiong Zou; MinHong Zou; Zhanlei Zhang; Lei Xu; Ningyi Jiang; Yong Zhang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-11-30       Impact factor: 10.057

2.  Inter-imaging accuracy of computed tomography, magnetic resonance imaging, and transrectal ultrasound in measuring prostate volume compared to the anatomic prostatic weight.

Authors:  Vaishnavi Narayanamurthy; Kirtishri Mishra; Amr Mahran; Laura Bukavina; Lee Ponsky; Ehud Gnessin
Journal:  Turk J Urol       Date:  2020-01-01

Review 3.  How Accurately Can Prostate Gland Imaging Measure the Prostate Gland Volume? Results of a Systematic Review.

Authors:  David R H Christie; Christopher F Sharpley
Journal:  Prostate Cancer       Date:  2019-03-03
  3 in total

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