| 危涵羽,梁长华,甄思雨,杨鑫淼,姚阳阳,魏正琦,李强,程思佳.临床-CT模型评估食管鳞状细胞癌侵犯脉管和/或神经[J].中国医学影像技术,2024,40(2):235~240 |
| 临床-CT模型评估食管鳞状细胞癌侵犯脉管和/或神经 |
| Clinical-CT model for evaluating lymphovascular and/or perineural invasion of esophageal squamous cell carcinoma |
| 投稿时间：2023-09-21 修订日期：2023-12-06 |
| DOI：10.13929/j.issn.1003-3289.2024.02.017 |
| 中文关键词: 食管肿瘤 肿瘤转移 体层摄影术,X线计算机 |
| 英文关键词:esophageal neoplasms neoplasm metastasis tomography, X-ray computed |
| 基金项目:河南省重点研发与推广专项（科技攻关）项目（232102310262）、新乡市食管癌影像诊断与人工智能研究重点实验室。 |
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| 中文摘要: |
| 目的 观察临床-CT模型评估食管鳞状细胞癌（ESCC）侵犯脉管（LVI）和/或神经（PNI）的价值。方法 回顾性分析156例ESCC患者资料，根据术后病理结果将LVI和/或PNI阳性者归为阳性组（n=58）、LVI及PNI均阴性者归为阴性组（n=98）；比较组间临床及CT资料，行logistic回归分析并建立模型，观察其评估LVI和/或PNI的效能。结果 组间癌胚抗原（CEA）、糖类抗原199（CA199）、肿瘤厚度、肿瘤体积、静脉期CT值（CTV）、CTV与平扫CT值（CTP）差值（ΔCTV-P）及静脉期增强率（V%）差异均有统计学意义（P均<0.05），其评估ESCC LVI和/或PNI的曲线下面积（AUC）分别为0.702、0.690、0.731、0.744、0.621、0.631及0.599。CEA、CA199、肿瘤厚度、肿瘤体积及CTV为ESCC LVI和/或PNI的独立预测因素，以之建立的联合模型评估ESCC LVI和/或PNI的准确率、敏感度及特异度分别为82.05%、65.52%及91.84%，且其AUC为0.838，高于各单一参数（P均<0.05）。结论 所获临床-CT模型可有效评估ESCC LVI和/或PNI。 |
| 英文摘要: |
| Objective To establish a clinical-CT model, and to observe its value for evaluating lymphovascular invasion (LVI) and/or perineural invasion (PNI) in esophageal squamous cell carcinoma (ESCC). Methods Data of 156 ESCC patients were retrospectively analyzed. The patients were divided into positive group (n=58, LVI [+] and/or PNI [+]) and negative group (n=98, LVI [-] and PNI [-]) according to postoperative pathological results. Clinical and CT data were compared between groups. Logistic regression analysis was performed to establish a model, and its efficacy of evaluating ESCC LVI and/or PNI was analyzed. Results Significant differences of carcinoembryonic antigen (CEA), carbohydrate antigen 199 (CA199), tumor thickness, tumor volume and CT venous phase value (CTV), the difference between CTV and CT plain phase value (CTP) (ΔCTV-P) and venous phase enhancement rate (V%) were found between groups (all P<0.05), and the area under the curve (AUC) of the above parameters for evaluating ESCC LVI and/or PNI was 0.702, 0.690, 0.731, 0.744, 0.621, 0.631 and 0.599, respectively. CEA, CA199, tumor thickness, tumor volume and CTV were all independent predictive factors for ESCC LVI and/or PNI. A combined model was established based on the above features, and its accuracy, sensitivity and specificity for evaluating ESCC LVI and/or PNI was 82.05%, 65.52% and 91.84%, respectively, with AUC of 0.838, higher than that of each single parameter (all P<0.05). Conclusion The established clinical-CT model could effectively evaluate ESCC LVI and/or PNI. |
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