Usefulness of grayscale values measuring hypoechoic lesions for predicting prostate cancer: An experimental pilot study

Background: To ensure reproducibility and representativeness of hypoechoic lesions in transrectal ultrasonography (TRUS), we used grayscale values and evaluated their usefulness in predicting prostate cancer (PCA). Methods: A total of 172 patients scheduled for prostate biopsy for suspected PCA betw...

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Main Authors: Jeong Woo Yoo, Kwang Suk Lee
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:Prostate International
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S228788822100060X
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author Jeong Woo Yoo
Kwang Suk Lee
author_facet Jeong Woo Yoo
Kwang Suk Lee
author_sort Jeong Woo Yoo
collection DOAJ
description Background: To ensure reproducibility and representativeness of hypoechoic lesions in transrectal ultrasonography (TRUS), we used grayscale values and evaluated their usefulness in predicting prostate cancer (PCA). Methods: A total of 172 patients scheduled for prostate biopsy for suspected PCA between October 2016 and May 2018 were prospectively enrolled. Patients underwent 12 core target biopsies for hypoechoic lesions in 12 areas of the prostate and two additional target biopsy cores for two hypoechoic lesions. We estimated the grayscale value of the image using a red/green/blue scoring method through a function embedded in the picture archiving and communication system. Imaging data were analyzed using estimated grayscale values. Results: Of the 127 patients (median age = 68.5 years, median prostate-specific antigen level = 6.19 ng/mL), 67 (52.8%) had PCA. Of 1778 biopsy lesions, 327 (18.4%) were PCA lesions. No differences in the grayscale values were found between PCA and benign lesions; however, the grayscale value between 28.0 and 57.0 for hypoechoic lesions was identified as a significant factor for predicting PCA in multivariable analysis (p=0.008). Multivariable analysis indicated a grayscale value between 34.0 and 48.0 as a predicting factor for clinically significant PCA (cs-PCA: Gleason grade group ≥2) (p=0.001). The area under the curve (AUC) for predicting cs-PCA was higher for combined clinical and grayscale value parameters than for TRUS grayscale values (0.780 vs. 0.561, p<0.001). Conclusions: Hypoechoic lesions that meet the quantitative criteria seem useful for predicting cs-PCA. The presence of hypoechoic lesions is not a predicting factor for PCA.
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spelling doaj.art-40e5fffb56784df89303ced3f2409a142023-08-02T06:12:09ZengElsevierProstate International2287-88822022-03-011012833Usefulness of grayscale values measuring hypoechoic lesions for predicting prostate cancer: An experimental pilot studyJeong Woo Yoo0Kwang Suk Lee1Department of Urology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, KoreaCorresponding author. Department of Urology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, Korea.; Department of Urology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, KoreaBackground: To ensure reproducibility and representativeness of hypoechoic lesions in transrectal ultrasonography (TRUS), we used grayscale values and evaluated their usefulness in predicting prostate cancer (PCA). Methods: A total of 172 patients scheduled for prostate biopsy for suspected PCA between October 2016 and May 2018 were prospectively enrolled. Patients underwent 12 core target biopsies for hypoechoic lesions in 12 areas of the prostate and two additional target biopsy cores for two hypoechoic lesions. We estimated the grayscale value of the image using a red/green/blue scoring method through a function embedded in the picture archiving and communication system. Imaging data were analyzed using estimated grayscale values. Results: Of the 127 patients (median age = 68.5 years, median prostate-specific antigen level = 6.19 ng/mL), 67 (52.8%) had PCA. Of 1778 biopsy lesions, 327 (18.4%) were PCA lesions. No differences in the grayscale values were found between PCA and benign lesions; however, the grayscale value between 28.0 and 57.0 for hypoechoic lesions was identified as a significant factor for predicting PCA in multivariable analysis (p=0.008). Multivariable analysis indicated a grayscale value between 34.0 and 48.0 as a predicting factor for clinically significant PCA (cs-PCA: Gleason grade group ≥2) (p=0.001). The area under the curve (AUC) for predicting cs-PCA was higher for combined clinical and grayscale value parameters than for TRUS grayscale values (0.780 vs. 0.561, p<0.001). Conclusions: Hypoechoic lesions that meet the quantitative criteria seem useful for predicting cs-PCA. The presence of hypoechoic lesions is not a predicting factor for PCA.http://www.sciencedirect.com/science/article/pii/S228788822100060XBiopsyHypoechoic lesionProstateTransrectal ultrasonography
spellingShingle Jeong Woo Yoo
Kwang Suk Lee
Usefulness of grayscale values measuring hypoechoic lesions for predicting prostate cancer: An experimental pilot study
Prostate International
Biopsy
Hypoechoic lesion
Prostate
Transrectal ultrasonography
title Usefulness of grayscale values measuring hypoechoic lesions for predicting prostate cancer: An experimental pilot study
title_full Usefulness of grayscale values measuring hypoechoic lesions for predicting prostate cancer: An experimental pilot study
title_fullStr Usefulness of grayscale values measuring hypoechoic lesions for predicting prostate cancer: An experimental pilot study
title_full_unstemmed Usefulness of grayscale values measuring hypoechoic lesions for predicting prostate cancer: An experimental pilot study
title_short Usefulness of grayscale values measuring hypoechoic lesions for predicting prostate cancer: An experimental pilot study
title_sort usefulness of grayscale values measuring hypoechoic lesions for predicting prostate cancer an experimental pilot study
topic Biopsy
Hypoechoic lesion
Prostate
Transrectal ultrasonography
url http://www.sciencedirect.com/science/article/pii/S228788822100060X
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