Suppr超能文献

经导管主动脉瓣植入术(TAVI)前低剂量和低对比剂第三代双源CT血管造影的计算机辅助评估

Computer-aided evaluation of low-dose and low-contrast agent third-generation dual-source CT angiography prior to transcatheter aortic valve implantation (TAVI).

作者信息

Dankerl Peter, Hammon Matthias, Seuss Hannes, Tröbs Monique, Schuhbaeck Annika, Hell Michaela M, Cavallaro Alexander, Achenbach Stephan, Uder Michael, Marwan Mohamed

机构信息

Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Maximiliansplatz 1, 91054, Erlangen, Germany.

Department of Cardiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany.

出版信息

Int J Comput Assist Radiol Surg. 2017 May;12(5):795-802. doi: 10.1007/s11548-016-1470-8. Epub 2016 Sep 7.

Abstract

PURPOSE

To evaluate the performance of computer-aided evaluation software for a comprehensive workup of patients prior to transcatheter aortic valve implantation (TAVI) using low-contrast agent and low radiation dose third-generation dual-source CT angiography.

METHODS

We evaluated 30 consecutive patients scheduled for TAVI. All patients underwent ECG-triggered high-pitch dual-source CT angiography of the aortic root and aorta with a standardized contrast agent volume (30 ml Imeron350, flow rate 4 ml/s) and low-dose (100 kv/350 mAs) protocol. An expert (10 years of experience) manually evaluated aortic root and iliac access dimensions (distance between coronary ostia and aortic annulus, minimal/maximal diameters and area-derived diameter of the aortic annulus) and best CT-predicted fluoroscopic projection angle as the reference standard. Utilizing computer-aided software (syngo.via), the same pre-TAVI workup was performed and compared to the reference standard.

RESULTS

Mean CTDI[Formula: see text] was 3.46 mGy and mean DLP 217.6 ± 12.1 mGy cm, corresponding to a mean effective dose of 3.7 ± 0.2 mSv. Computer-aided evaluation was successful in all but one patient. Compared to the reference standard, Bland-Altman analysis indicated very good agreement for the distances between aortic annulus and coronary ostia (RCA: mean difference 0.8 mm; 95 % CI 0.4-1.2 mm; LM: mean difference 0.9 mm; 95 % CI 0.5-1.3 mm); however, we demonstrated a systematic overestimation of annulus- derived diameter using the software (mean difference 44.4 mm[Formula: see text]; 95 % CI 30.4-58.3 mm[Formula: see text]). Based on respective annulus dimensions, the recommended prosthesis size (Edwards SAPIEN 3) matched in 26 out of the 29 patients (90 %). CT-derived fluoroscopic projection angles showed an excellent agreement for both methods. Out of 58 iliac arteries, 15 (25 %) arteries could not be segmented by the software. Preprocessing time of the software was 71 ± 11 s (range 51-96 s), and reading time with the software was 118 ± 31 s (range 68-201 s).

CONCLUSION

In the workup of pre-TAVI CT angiography, computer-aided evaluation of low-contrast, low-dose examinations is feasible with good agreement and quick reading time. However, a systematic overestimation of the aortic annulus area is observed.

摘要

目的

使用低对比剂和低辐射剂量的第三代双源CT血管造影术,评估计算机辅助评估软件在经导管主动脉瓣植入术(TAVI)前对患者进行全面检查的性能。

方法

我们评估了30例计划进行TAVI的连续患者。所有患者均接受了心电图触发的主动脉根部和主动脉高螺距双源CT血管造影,使用标准化的对比剂用量(30 ml碘美普尔350,流速4 ml/s)和低剂量(100 kv/350 mAs)方案。一名专家(有10年经验)手动评估主动脉根部和髂动脉入路尺寸(冠状动脉开口与主动脉瓣环之间的距离、主动脉瓣环的最小/最大直径和面积衍生直径)以及最佳CT预测的透视投影角度作为参考标准。使用计算机辅助软件(syngo.via)进行相同的TAVI术前检查,并与参考标准进行比较。

结果

平均CTDI[公式:见原文]为3.46 mGy,平均DLP为217.6±12.1 mGy·cm,对应平均有效剂量为3.7±0.2 mSv。除一名患者外,计算机辅助评估均成功。与参考标准相比,Bland-Altman分析表明主动脉瓣环与冠状动脉开口之间的距离一致性非常好(右冠状动脉:平均差异0.8 mm;95%CI 0.4-1.2 mm;左主干:平均差异0.9 mm;95%CI 0.5-1.3 mm);然而,我们证明使用该软件会系统性高估瓣环衍生直径(平均差异44.4 mm[公式:见原文];95%CI 30.4-58.3 mm[公式:见原文])。根据各自的瓣环尺寸,推荐的假体尺寸(爱德华SAPIEN 3)在29例患者中的26例(90%)中匹配。CT衍生的透视投影角度在两种方法中显示出极好的一致性。在58条髂动脉中,15条(25%)动脉无法被软件分割。软件的预处理时间为71±11 s(范围51-96 s),使用软件的读取时间为118±31 s(范围68-201 s)。

结论

在TAVI术前CT血管造影检查中,计算机辅助评估低对比剂、低剂量检查是可行的,一致性良好且读取时间快。然而,观察到主动脉瓣环面积存在系统性高估。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验