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影像学标准预测颈动脉体肿瘤的 Shamblin 分组——再探讨。

Imaging criteria to predict Shamblin group in carotid body tumors - revisited.

机构信息

Department of Radiology, Christian Medical College, Vellore, India.

Department of Biostatistics, Christian Medical College, Vellore, India.

出版信息

Diagn Interv Radiol. 2021 May;27(3):354-359. doi: 10.5152/dir.2021.20028.

Abstract

PURPOSE

This study aims to compare the imaging findings of carotid body tumors on contrast-enhanced computed tomography (CT) with the intraoperative Shamblin grade and to evolve an imaging-based scoring system that can accurately predict the Shamblin grade.

METHODS

Preoperative contrast-enhanced CT scans of 40 patients who underwent surgical excision of carotid body tumors in our institution between 2004 and 2017 were retrospectively reviewed. The angle of contact with the internal carotid artery (ICA), tumor volume, presence of peritumoral tuft of veins, loss of tumor adventitia interface and distance from the skull base were assessed and compared with the intraoperative Shamblin grades of the tumor. Ordinal logistic regression was used to determine which parameters could be predictors of the Shamblin grades. Receiver operator characteristic (ROC) curves were used to score the tumor volumes.

RESULTS

Among the 42 tumors evaluated, 6 (14.3%) were surgically classified as Shamblin I, 15 (35.7%) as Shamblin II, and 21 (50%) as Shamblin III tumors. Pairwise comparison between the three Shamblin groups showed a statistically significant difference for angle of contact with ICA, maximum tumor dimension, presence of peritumoral tuft of veins and loss of tumor adventitia interface (p = 0.001, p = 0.001, p = 0.038 and p = 0.003, respectively). However, tumor volumes and distance from skull base were not significantly different between the Shamblin groups (p = 0.136 and p = 0.682). A scoring system, including four of the above mentioned parameters (angle of contact with ICA, tumor volume, presence of peritumoral tuft of veins, and loss of tumor adventitia interface) was developed with a maximum score of 8 and a minimum of 2. A statistically significant difference was found between the final scores among the three Shamblin groups (p < 0.001). Using ROC curves, a final score of ≥6 was found to separate Shamblin grade III tumors from grade I and II tumors (sensitivity, 95.24%; specificity, 71.43%). All patients with documented intraoperative estimated blood loss of >1000 mL had Shamblin grade III tumors. Postoperative complications like stroke, ICA thrombosis and lower cranial nerve palsies were seen only with Shamblin grade II and III tumors.

CONCLUSION

The simple scoring system we have proposed correlates well with the Shamblin grade and helps in identifying patients who have a higher risk of developing complications.

摘要

目的

本研究旨在比较颈动脉体瘤在增强 CT 上的影像学表现与术中 Shamblin 分级,并建立一种能准确预测 Shamblin 分级的影像学评分系统。

方法

回顾性分析 2004 年至 2017 年间在我院行手术切除的 40 例颈动脉体瘤患者的术前增强 CT 扫描。评估接触颈内动脉(ICA)的角度、肿瘤体积、肿瘤周围静脉丛的存在、肿瘤外膜界面的丧失以及与颅底的距离,并与术中肿瘤的 Shamblin 分级进行比较。采用有序逻辑回归确定哪些参数可以作为 Shamblin 分级的预测因子。使用受试者工作特征(ROC)曲线对肿瘤体积进行评分。

结果

在评估的 42 个肿瘤中,6 个(14.3%)被手术分类为 Shamblin I 级,15 个(35.7%)为 Shamblin II 级,21 个(50%)为 Shamblin III 级。Shamblin 三组之间的两两比较显示,ICA 接触角度、肿瘤最大尺寸、肿瘤周围静脉丛的存在和肿瘤外膜界面的丧失有统计学差异(p=0.001,p=0.001,p=0.038 和 p=0.003)。然而,Shamblin 组之间肿瘤体积和距颅底的距离无显著差异(p=0.136 和 p=0.682)。建立了一个评分系统,包括上述四个参数(ICA 接触角度、肿瘤体积、肿瘤周围静脉丛的存在和肿瘤外膜界面的丧失),最高得分为 8 分,最低得分为 2 分。在 Shamblin 三组之间,最终评分有统计学差异(p<0.001)。使用 ROC 曲线,最终评分≥6 可将 Shamblin Ⅲ级肿瘤与Ⅰ级和Ⅱ级肿瘤区分开来(灵敏度 95.24%,特异性 71.43%)。所有术中失血量>1000ml 的患者均为 Shamblin Ⅲ级肿瘤。术后并发症如中风、ICA 血栓形成和颅神经麻痹仅见于 Shamblin Ⅱ级和Ⅲ级肿瘤。

结论

我们提出的简单评分系统与 Shamblin 分级相关性良好,有助于识别发生并发症风险较高的患者。

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