Department of Ultrasound, The First Hospital of China Medical University, No. 155, Nanjing North Street, Heping District, Shenyang, 110001, Liaoning Province, China.
Cancer Imaging. 2020 Aug 3;20(1):54. doi: 10.1186/s40644-020-00332-z.
To establish Greater Omentum Imaging-Reporting and Data System (GOI-RADS) to evaluate the possibility of omental diseases being malignant.
A retrospective analysis was made of 883 patients who had undergone biopsy of the greater omentum in our center from October 2009 to October 2019. Twelve parameters of ultrasonographic images were evaluated, and the odds ratio of each group calculated. We assigned scores for the direct signs (omental echo, omental structure, and omental nodules) and indirect signs (separation of ascites, echo of ascites, mesenteric lymph nodes, and thickening of parietal peritoneum) of omental lesions. We created an omental score (OS) for each patient and receiver operating characteristic (ROC) curve to analyze its effectiveness in the differential diagnosis of benign and malignant omental diseases.
The OS was divided into ≤5, 6, 7, 8, 9, 10, 11, 12, 13, and ≥ 14 points, and the malignant rate was 0, 1.85, 5.56, 30.36, 37.25, 87.72, 96.72, 98.28, 99.08, and 100%, respectively. The area under the ROC curve (AUC) was 0.976. When taking 10 points as the cutoff value to diagnose benign and malignant omental diseases, the sensitivity and specificity was 93.85 and 98.21%, respectively. A grading system was established: grade 1: omental score ≤ 5, malignant rate 0%; grade 2: omental score 6-7, malignant rate ≤ 5.56%; grade 3: omental score 8--9, malignant rate ≤ 37.25%; grade 4: omental score ≥ 10, malignant rate ≥ 87.72.
GOI-RADS had high sensitivity and specificity in the differential diagnosis of benign and malignant omental lesions. We believe that GOI-RADS will aid the diagnosis of omental diseases based on objective and accurate interpretation of ultrasound features, and also to promote the ultrasonography of omental diseases in clinical application.
建立大网膜成像报告和数据系统（GOI-RADS），以评估网膜疾病恶性的可能性。
对 2009 年 10 月至 2019 年 10 月在我院行大网膜活检的 883 例患者进行回顾性分析。评估 12 项超声图像参数，并计算每组的比值比。我们对大网膜病变的直接征象（网膜回声、网膜结构和网膜结节）和间接征象（腹水分离、腹水回声、肠系膜淋巴结和壁层腹膜增厚）进行评分。为每位患者创建一个网膜评分（OS），并绘制接收者操作特征（ROC）曲线，以分析其在鉴别诊断良性和恶性网膜疾病中的有效性。
OS 分为≤5、6、7、8、9、10、11、12、13 和≥14 分，恶性率分别为 0、1.85%、5.56%、30.36%、37.25%、87.72%、96.72%、98.28%、99.08%和 100%。ROC 曲线下面积（AUC）为 0.976。当以 10 分为截断值诊断良性和恶性网膜疾病时，灵敏度和特异性分别为 93.85%和 98.21%。建立了一个分级系统：1 级：网膜评分≤5，恶性率 0%；2 级：网膜评分 6-7，恶性率≤5.56%；3 级：网膜评分 8-9，恶性率≤37.25%；4 级：网膜评分≥10，恶性率≥87.72%。
GOI-RADS 对良性和恶性网膜病变的鉴别诊断具有较高的灵敏度和特异性。我们相信，GOI-RADS 将有助于根据超声特征进行客观准确的解释来诊断网膜疾病，并促进网膜疾病的超声临床应用。
