【摘要】 目的：探讨计算机断层扫描（computed tomography, CT）影像特征对小细胞肺癌（small cell lung cancer,SCLC）病理分化程度的评估效能。方法：回顾性分析2018年1月至2024年12月期间福建省宁德人民医院收治的220例经病理结果证实的SCLC患者的一般资料，根据病理分化程度分为高分化组、中分化组和低分化组。比较不同分化程度SCLC患者的CT影像特征差异。通过受试者工作特征（receiver operating characteristic,ROC）曲线评估各CT影像特征单独和联合对SCLC病理分化程度的评估效能。结果：不同病理分化程度的SCLC在肿瘤大小、形态、边缘、密度、强化方式及纵隔淋巴结转移等CT影像特征上存在显著差异（P<0.05）。其中，肿瘤边缘毛刺征、分叶征、内部坏死及强化程度等特征在评估低分化SCLC中具有较高的敏感度和特异度。结论：基于CT影像特征的联合模型对SCLC病理分化程度的评估具有重要价值，可为临床制定个性化治疗方案提供有力依据。更多还原

【Abstract】 Objective: To explore the effectiveness of computed tomography(CT) imaging features in evaluating the pathological differentiation degree of small cell lung cancer(SCLC). Methods: A retrospective analysis was conducted on the general data of 220 patients with pathologically confirmed SCLC admitted to Ningde People’s Hospital of Fujian Province from January 2018 to December 2024. The patients were divided into three groups according to the pathological differentiation degree: well-differentiated group, moderately differentiated group, and poorly differentiated group. The differences in CT imaging features of SCLC patients with different differentiation degrees were compared. The receiver operating characteristic(ROC) curve was used to evaluating the effectiveness of alone and combined CT imaging features for the pathological differentiation degree of SCLC.Results: Significant differences(P<0.05) were observed in CT imaging features such as tumor size, shape, margin,density, enhancement pattern, and mediastinal lymph node metastasis among SCLC patients with different pathological differentiation degrees. Among these features, the spiculation sign of tumor margin, lobulation sign,internal necrosis, and enhancement degree showed high sensitivity and specificity in differentiating poorly differentiated SCLC. Conclusion: CT imaging features combined model show important value in the evaluation of pathological differentiation degree of SCLC, and provide a strong basis for the clinical formulation of personalized treatment plans.更多还原