Department of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany.
Department of Visceral and Transplantation Surgery, University Hospital Leipzig, University of Leipzig, Leipzig, Germany.
Anticancer Res. 2023 Nov;43(11):5089-5097. doi: 10.21873/anticanres.16709.
BACKGROUND/AIM: Texture analysis can provide quantitative imaging markers from computed tomography (CT) images. The Node-RADS classification was recently published as a classification system to better characterize lymph nodes in oncological imaging. The present analysis investigated the diagnostic benefit of CT texture analysis and the Node-RADS classification to categorize and stage lymph nodes in patients with perihilar cholangiocarcinoma.
Overall, 25 patients (n=9 females, 36%) with a mean age of 72.4±8.1 years were included. All patients were surgically resected and the lymph nodes were histopathologically analyzed. CT-texture analysis was performed with the Mazda package. All investigated lymph nodes were scored in accordance with the Node-RADS classification.
Regarding lymph node discrimination (N- versus N+), Node-RADS classification achieved an area under the curve (AUC) of 0.86 resulting in a sensitivity of 78% and a specificity of 86%. Multiple investigated texture features were different between negative and positive lymph nodes. The "S(0,1)SumVarnc" achieved the best AUC of 0.75 resulting in a sensitivity of 0.91 and a specificity of 0.67. Correlation analysis showed various statistically significant associations between CT texture features and Node-RADS score.
Several CT texture features and the Node-RADS score derived from preoperative staging CT were associated with the malignancy of the hilar lymph nodes and might aid for preoperative staging. This could change surgical treatment planning in hilar cholangiocarcinoma.
背景/目的:纹理分析可以从计算机断层扫描(CT)图像中提供定量成像标志物。最近发布了 Node-RADS 分类系统,以更好地描述肿瘤影像学中的淋巴结。本分析研究了 CT 纹理分析和 Node-RADS 分类在分类和分期肝门周围胆管癌患者淋巴结方面的诊断优势。
共有 25 名患者(n=9 名女性,36%)入组,平均年龄为 72.4±8.1 岁。所有患者均接受手术切除,淋巴结进行组织病理学分析。使用 Mazda 软件包进行 CT 纹理分析。根据 Node-RADS 分类对所有研究的淋巴结进行评分。
在淋巴结鉴别(N-与 N+)方面,Node-RADS 分类的曲线下面积(AUC)为 0.86,灵敏度为 78%,特异性为 86%。阴性和阳性淋巴结之间的多个研究纹理特征存在差异。“S(0,1)SumVarnc”的 AUC 最佳,为 0.75,灵敏度为 0.91,特异性为 0.67。相关性分析显示 CT 纹理特征与 Node-RADS 评分之间存在多种具有统计学意义的关联。
术前分期 CT 获得的多个 CT 纹理特征和 Node-RADS 评分与肝门淋巴结的恶性程度相关,可能有助于术前分期。这可能会改变肝门周围胆管癌的手术治疗计划。