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杂交手术室中腹主动脉瘤腔内修复术的辐射防护。日常实践中的即时患者风险图表。

Radiation Awareness for Endovascular Abdominal Aortic Aneurysm Repair in the Hybrid Operating Room. An Instant Patient Risk Chart for Daily Practice.

作者信息

de Ruiter Quirina M, Gijsberts Crystel M, Hazenberg Constantijn E, Moll Frans L, van Herwaarden Joost A

机构信息

1 Department of Vascular Surgery, University Medical Center Utrecht, the Netherlands.

2 ICIN-Netherlands Heart Institute, Utrecht, the Netherlands.

出版信息

J Endovasc Ther. 2017 Jun;24(3):425-434. doi: 10.1177/1526602817697188. Epub 2017 Apr 10.

DOI:10.1177/1526602817697188
PMID:28393672
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5438080/
Abstract

PURPOSE

To determine which patient and C-arm characteristics are the strongest predictors of intraoperative patient radiation dose rates (DRs) during endovascular aneurysm repair (EVAR) procedures and create a patient risk chart.

METHODS

A retrospective analysis was performed of 74 EVAR procedures, including 16,889 X-ray runs using fixed C-arm imaging equipment. Four multivariate log-linear mixed models (with patient as a random effect) were constructed. Mean air kerma DR (DR, mGy/s) and the mean dose area product DR (DR, mGycm/s) were the outcome variables utilized for fluoroscopy as differentiated from digital subtraction angiography (DSA). These models were used to predict the maximum radiation duration allowed before a 2-Gy skin threshold (for DR) or a 500-Gycm threshold (for DR) was reached.

RESULTS

The strongest predictor of DR and DR for fluoroscopy imaging was the radiation protocol, with an increase of 200% when changing from "low" to "medium" and 410% from "low" to "normal." The strongest predictors of DR and DR for DSA were C-arm angulation, with an increase of 47% per 30° of angulation, and body mass index (BMI), with an increase of 58% for every 5-point increase in BMI. Based on these models, a patient with a BMI of 30 kg/m, combined with 45° of rotation and a field size of 800 cm in the medium fluoroscopy protocol has a predicted DR of 0.39 mGy/s (or 85.5 minutes until the 2-Gy skin threshold is reached). While using comparable settings but switching the acquisition to a DSA with a "2 frames per second" protocol, the predicted DR will be 6.6 mGy/s (or 5.0 minutes until the 2-Gy threshold is reached).

CONCLUSION

X-ray radiation DRs are constantly fluctuating during and between patients based on BMI, the protocols, C-arm position, and the image acquisitions that are used. An instant patient risk chart visualizes these radiation dose fluctuations and provides an overview of the expected duration of X-ray radiation, which can be used to predict when follow-up dose thresholds are reached during abdominal endovascular procedures.

摘要

目的

确定在血管内动脉瘤修复(EVAR)手术过程中,哪些患者和C型臂特征是术中患者辐射剂量率(DR)的最强预测因素,并创建患者风险图表。

方法

对74例EVAR手术进行回顾性分析,包括使用固定C型臂成像设备进行的16889次X射线扫描。构建了四个多变量对数线性混合模型(将患者作为随机效应)。平均空气比释动能剂量率(DR,mGy/s)和平均剂量面积乘积剂量率(DR,mGycm/s)是用于荧光透视的结果变量,与数字减影血管造影(DSA)有所区别。这些模型用于预测在达到2 Gy皮肤阈值(针对DR)或500 Gycm阈值(针对DR)之前允许的最大辐射持续时间。

结果

荧光透视成像中DR和DR的最强预测因素是辐射方案,从“低”变为“中”时增加200%,从“低”变为“正常”时增加410%。DSA中DR和DR的最强预测因素是C型臂角度,每30°角度增加47%,以及体重指数(BMI),BMI每增加5点增加58%。基于这些模型,一名BMI为30 kg/m、在中等荧光透视方案中旋转45°且视野大小为800 cm的患者,预测DR为0.39 mGy/s(或在达到2 Gy皮肤阈值前85.5分钟)。在使用类似设置但将采集切换为“每秒2帧”方案的DSA时,预测DR将为6.6 mGy/s(或在达到2 Gy阈值前5.0分钟)。

结论

基于BMI、方案、C型臂位置和使用的图像采集,患者之间及手术过程中X射线辐射DR不断波动。即时患者风险图表可直观显示这些辐射剂量波动,并提供X射线辐射预期持续时间的概述,可用于预测腹部血管内手术中何时达到后续剂量阈值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0cb/5438080/930f38e36f70/10.1177_1526602817697188-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0cb/5438080/63e914e450b5/10.1177_1526602817697188-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0cb/5438080/6d5904714be6/10.1177_1526602817697188-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0cb/5438080/930f38e36f70/10.1177_1526602817697188-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0cb/5438080/63e914e450b5/10.1177_1526602817697188-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0cb/5438080/6d5904714be6/10.1177_1526602817697188-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0cb/5438080/930f38e36f70/10.1177_1526602817697188-fig3.jpg

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