Detailed Information

Cited 23 time in webofscience Cited 22 time in scopus
Metadata Downloads

Classification of Focal Prostatic Lesions on Transrectal Ultrasound (TRUS) and the Accuracy of TRUS to Diagnose Prostate Cancer

Authors
Lee, HY[Lee, Ho Yun]Lee, HJ[Lee, Hak Jong]Byun, SS[Byun, Seok-Soo]Lee, SE[Lee, Sang Eun]Hong, SK[Hong, Sung Kyu]Kim, SH[Kim, Seung Hyup]
Issue Date
May-2009
Publisher
KOREAN RADIOLOGICAL SOC
Keywords
Prostate biopsy; Transrectal ultrasound; Prostate cancer diagnosis
Citation
KOREAN JOURNAL OF RADIOLOGY, v.10, no.3, pp.244 - 251
Indexed
SCIE
SCOPUS
KCI
Journal Title
KOREAN JOURNAL OF RADIOLOGY
Volume
10
Number
3
Start Page
244
End Page
251
URI
https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/77951
DOI
10.3348/kjr.2009.10.3.244
ISSN
1229-6929
Abstract
Objective: To improve the diagnostic efficacy of transrectal ultrasound (TRUS)-guided targeted prostatic biopsies, we have suggested the use of a new scoring system for the prediction of malignancies regarding the characteristics of focal suspicious lesions as depicted on TRUS. Materials and Methods: A total of 350 consecutive patients with or without prostate cancer who underwent targeted biopsies for 358 lesions were included in the study. The data obtained from participants were randomized into two groups; the training set (n = 240) and the test set (n = 118). The characteristics of focal suspicious lesions were evaluated for the training set and the correlation between TRUS findings and the presence of a malignancy was analyzed. Multiple logistic regression analysis was used to identify variables capable of predicting prostatic cancer. A scoring system that used a 5-point scale for better malignancy prediction was determined from the training set. Positive predictive values for malignancy prediction and the diagnostic accuracy of the scored components with the use of receiver operating characteristic curve analysis were evaluated by test set analyses. Results: Subsequent multiple logistic regression analysis determined that shape, margin irregularity, and vascularity were factors significantly and independently associated with the presence of a malignancy. Based on the use of the scoring system for malignancy prediction derived from the significant TRUS findings and the interactions of characteristics, a positive predictive value of 80% was achieved for a score of 4 when applied to the test set. The area under the receiver operating characteristic curve (AUC) for the overall lesion score was 0.81. Conclusion: We have demonstrated that a scoring system for malignancy prediction developed for the characteristics of focal suspicious lesions as depicted on TRUS can help predict the outcome of TRUS-guided biopsies.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Medicine > Department of Medicine > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher LEE, HO YUN photo

LEE, HO YUN
Medicine (Medicine)
Read more

Altmetrics

Total Views & Downloads

BROWSE