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测量低回声病变的灰度值对预测前列腺癌的效用:一项实验性初步研究。

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

作者信息

Yoo Jeong Woo, Lee Kwang Suk

机构信息

Department of Urology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.

出版信息

Prostate Int. 2022 Mar;10(1):28-33. doi: 10.1016/j.prnil.2021.11.002. Epub 2021 Dec 3.

Abstract

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 (). 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) (). 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, ).

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.

摘要

背景

为确保经直肠超声检查(TRUS)中低回声病变的可重复性和代表性,我们使用灰度值并评估其在预测前列腺癌(PCA)方面的效用。

方法

前瞻性纳入了2016年10月至2018年5月期间因疑似PCA计划进行前列腺活检的172例患者。患者对前列腺12个区域的低回声病变进行12针靶向活检,并对另外两个低回声病变进行两针额外的靶向活检。我们通过图像存档与通信系统中嵌入的功能,使用红/绿/蓝评分方法估计图像的灰度值。使用估计的灰度值分析成像数据。

结果

127例患者(中位年龄 = 68.5岁,中位前列腺特异性抗原水平 = 6.19 ng/mL)中,67例(52.8%)患有PCA。在1778个活检病变中,327个(18.4%)为PCA病变。PCA病变和良性病变之间的灰度值未发现差异;然而,在多变量分析中,低回声病变的灰度值在28.0至57.0之间被确定为预测PCA的重要因素()。多变量分析表明,灰度值在34.0至48.0之间是临床显著性PCA(cs-PCA:Gleason分级组≥2)的预测因素()。联合临床和灰度值参数预测cs-PCA的曲线下面积(AUC)高于TRUS灰度值(0.780对0.561,)。

结论

符合定量标准的低回声病变似乎有助于预测cs-PCA。低回声病变的存在不是PCA的预测因素。

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