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采用 VR-RENDER 融合的三维代谢和放射学综合评估:提高甲状旁腺瘤定位准确性的新工具。

Three-dimensional metabolic and radiologic gathered evaluation using VR-RENDER fusion: a novel tool to enhance accuracy in the localization of parathyroid adenomas.

机构信息

IRCAD-IHU, University of Strasbourg, Strasbourg, France.

出版信息

World J Surg. 2013 Jul;37(7):1618-25. doi: 10.1007/s00268-013-2021-x.

Abstract

BACKGROUND

The aim of this study was to assess the accuracy of a novel imaging modality, three-dimensional (3D) metabolic and radiologic gathered evaluation (MeRGE), for localizing parathyroid adenomas (PAs).

METHODS

Consecutive patients presenting with primary hyperparathyroidism who underwent both thin-slice cervical computed tomography (CT) and (99m)Tc-sestamibi (MIBI) scanning were included. 3D-CT reconstruction was obtained using VR-RENDER, which was used to perform 3D virtual neck exploration (3D-VNE). The MIBI scan was then fused with the 3D reconstruction to obtain 3D-MeRGE. Sensitivity, specificity, and accuracy were assessed. Parathyroid gland volume and preoperative parathormone (PTH) levels were analyzed as predictive factors of correct localization (i.e., correct quadrant).

RESULTS

A total of 108 cervical quadrants (27 patients) were analyzed. Sensitivities were 79.31, 75.86, 65.51, and 58.61 % with 3D-MeRGE, 3D-VNE, MIBI, and CT, respectively. Specificity was highest with CT (94.93 %) followed by 3D-VNE (92.4 %). MIBI and 3D-MeRGE had the same specificity (88.6 %). 3D-MeRGE and 3D-VNE achieved higher accuracy than MIBI or CT alone. Mean PTH values were significantly higher in patients with lesions that were correctly identified (true positive, TP) than in those whose lesions were missed (false negative, FN) with 3D-VNE (219.60 ± 212.77 vs. 98.75 ± 12.76 pg/ml; p = 0.01) and 3D-MeRGE (217.69 ± 213.76 vs. 09.75 ± 20.48 pg/ml; p = 0.02). The mean parathyroid gland volume difference between TP and FN was statistically significant with all modalities except CT.

CONCLUSIONS

3D-MeRGE and 3D-VNE showed high accuracy for localization of PAs. 3D-MeRGE performed better than MIBI or CT alone for detecting small adenomas and those with a low PTH level.

摘要

背景

本研究旨在评估一种新型成像方式——三维(3D)代谢和放射学采集评估(MeRGE)——对甲状旁腺腺瘤(PA)定位的准确性。

方法

连续纳入因原发性甲状旁腺功能亢进而接受薄层颈部计算机断层扫描(CT)和(99m)Tc-甲氧基异丁基异腈(MIBI)扫描的患者。使用 VR-RENDER 获得 3D-CT 重建,用于进行 3D 虚拟颈部探查(3D-VNE)。然后将 MIBI 扫描与 3D 重建融合,以获得 3D-MeRGE。评估了敏感性、特异性和准确性。甲状旁腺体积和术前甲状旁腺激素(PTH)水平被分析为正确定位(即正确象限)的预测因素。

结果

共分析了 108 个颈椎象限(27 例患者)。3D-MeRGE、3D-VNE、MIBI 和 CT 的灵敏度分别为 79.31%、75.86%、65.51%和 58.61%。特异性以 CT 最高(94.93%),其次是 3D-VNE(92.4%)。MIBI 和 3D-MeRGE 的特异性相同(88.6%)。3D-MeRGE 和 3D-VNE 的准确性均高于 MIBI 或 CT 单独使用。3D-VNE(219.60±212.77 比 98.75±12.76 pg/ml;p=0.01)和 3D-MeRGE(217.69±213.76 比 09.75±20.48 pg/ml;p=0.02)中,病变正确识别(真阳性,TP)的患者的平均 PTH 值明显高于病变漏诊(假阴性,FN)的患者。除 CT 外,所有方法中 TP 和 FN 之间的甲状旁腺体积差异均有统计学意义。

结论

3D-MeRGE 和 3D-VNE 对 PA 的定位具有很高的准确性。3D-MeRGE 在检测小腺瘤和 PTH 水平较低的腺瘤方面优于 MIBI 或 CT 单独使用。

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