Department of Ultrasound, First Affiliated Hospital of the Southern University of Science and Technology, Second Clinical College of Jinan University, Shenzhen Medical Ultrasound Engineering Center, Shenzhen People's Hospital, Shenzhen, China.
J Ultrasound Med. 2020 Jan;39(1):83-87. doi: 10.1002/jum.15075. Epub 2019 Jul 1.
This study aimed to evaluate the clinical value of the elastographic Q-analysis score (EQS) in assisting real-time elastography- and transrectal US-guided prostate biopsy.
A total of 125 patients with 301 lesions were enrolled in this study; all were confirmed by pathologic results. The patients underwent transrectal US and elastographic examinations before biopsy. Elastographic Q-analysis score analysis software was used for measuring the mean EQS of the elastic images. First, the suspicious regions on elastography underwent biopsy. Then 12-core systematic prostate biopsy was performed. An EQS curve was used to calculate the mean EQS, and a receiver operating characteristic curve was drawn to find the cutoff point for the EQS to predict prostate cancer.
Of the 301 lesions in this study, 125 were malignant, and 176 were benign. The mean EQS values of benign and malignant lesions ± SD were 1.47 ± 0.75 and 2.98 ± 1.06, respectively. The difference was statistically significant (P < .05). The area under the receiver operating characteristic curve was 0.87. When the cutoff point was 1.95 for diagnosing malignant and benign lesions, the sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, and negative likelihood ratio were 83.5%, 84.4%, 76.8%, 89.2%, 5.35, and 0.20.
The EQS could be used as a way to predict benign and malignant lesions and thus could serve as guidance for adding targeted biopsy.
本研究旨在评估超声弹性成像 Q 分析评分（EQS）在实时超声弹性成像和经直肠超声引导前列腺活检中的临床价值。
本研究共纳入 125 例 301 个病灶的患者，所有患者均经病理结果证实。患者在活检前接受经直肠超声和弹性检查。使用弹性成像 Q 分析评分分析软件测量弹性图像的平均 EQS。首先对弹性成像上的可疑区域进行活检，然后进行 12 针系统前列腺活检。使用 EQS 曲线计算平均 EQS，绘制受试者工作特征曲线以找到预测前列腺癌的 EQS 截断点。
本研究的 301 个病灶中，125 个为恶性，176 个为良性。良性和恶性病变的平均 EQS 值±SD 分别为 1.47±0.75 和 2.98±1.06，差异有统计学意义（P<0.05）。受试者工作特征曲线下面积为 0.87。当截断点为 1.95 用于诊断良恶性病变时，灵敏度、特异度、阳性预测值、阴性预测值、阳性似然比和阴性似然比分别为 83.5%、84.4%、76.8%、89.2%、5.35 和 0.20。
EQS 可用于预测良恶性病变，从而可作为添加靶向活检的指导。
