Rendimiento diagnóstico de un nuevo software de aprendizaje profundo para corrección de atenuación en la imagen de perfusión miocárdica utilizando una cámara CZT cardiodedicada. Experiencia en la práctica clínica

IF 1.6 4区医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Revista Espanola De Medicina Nuclear E Imagen Molecular Pub Date : 2024-01-01 DOI:10.1016/j.remn.2023.08.007

M. Ochoa-Figueroa , C. Valera-Soria , C. Pagonis , M. Ressner , P. Norberg , V. Sanchez-Rodriguez , J. Frias-Rose , E. Good , A. Davidsson

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引用次数: 0

Abstract

Purpose

To evaluate the diagnostic performance of a novel deep learning attenuation correction software (SAPCA) for myocardial perfusion imaging (MPI) using a cadmium-zinc-telluride (CZT) cardio dedicated camera with invasive coronary angiography (ICA) correlation for the diagnosis of coronary artery disease (CAD) in a high-risk population.

Methods

Retrospective study of 300 patients (196 males [65%], mean age 68 years) from September 2014 to October 2019 undergoing MPI, followed by ICA and evaluated by means of quantitative angiography software, within six months after the MPI. The mean pre-test probability score for coronary disease according to the European Society of Cardiology criteria was 37% for the whole cohort. The MPI was performed in a dedicated CZT cardio camera (D-SPECT® Spectrum Dynamics) with a two-day protocol, according to the European Association of Nuclear Medicine guidelines. MPI was retrospectively evaluated with and without the SAPCA.

Results

The overall diagnostic accuracy of MPI without SAPCA to identify patients with any obstructive CAD at ICA was 87%, Sensitivity 94%, Specificity 57%, positive predictive value 91% and negative predictive value 64%. Using SAPCA the overall diagnostic accuracy was 90%, sensitivity 91%, specificity 86%, positive predictive value 97% and negative predictive value 66%.

Conclusion

Use of the novel SAPCA enhances performance of the MPI using the CZT D-SPECT® camera and achieves improved results, especially avoiding artefacts and reducing the number of false positive results.

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使用心电专用 CZT 相机进行心肌灌注成像衰减校正的新型深度学习软件的诊断性能。临床实践经验

目的评估新型深度学习衰减校正软件（SAPCA）的诊断性能，该软件用于使用碲锌镉（CZT）心肌专用相机进行心肌灌注成像（MPI），并与有创冠状动脉造影（ICA）相关，以诊断高危人群中的冠状动脉疾病（CAD）。方法对 2014 年 9 月至 2019 年 10 月期间接受 MPI 的 300 名患者（196 名男性[65%]，平均年龄 68 岁）进行回顾性研究，随后进行 ICA，并在 MPI 后六个月内通过定量血管造影软件进行评估。根据欧洲心脏病学会的标准，整个组群的冠心病检测前概率平均值为 37%。根据欧洲核医学协会的指南，MPI 在专用的 CZT 心脏照相机（D-SPECT® Spectrum Dynamics）中进行，采用为期两天的方案。结果在不使用 SAPCA 的情况下，MPI 鉴别 ICA 任何阻塞性 CAD 患者的总体诊断准确率为 87%，灵敏度为 94%，特异度为 57%，阳性预测值为 91%，阴性预测值为 64%。结论使用新型 SAPCA 提高了使用 CZT D-SPECT® 相机进行 MPI 的性能，并获得了更好的结果，尤其是避免了伪影并减少了假阳性结果的数量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Revista Espanola De Medicina Nuclear E Imagen Molecular RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-

CiteScore

1.10

自引率

16.70%

发文量

审稿时长

24 days

期刊介绍： The Revista Española de Medicina Nuclear e Imagen Molecular (Spanish Journal of Nuclear Medicine and Molecular Imaging), was founded in 1982, and is the official journal of the Spanish Society of Nuclear Medicine and Molecular Imaging, which has more than 700 members. The Journal, which publishes 6 regular issues per year, has the promotion of research and continuing education in all fields of Nuclear Medicine as its main aim. For this, its principal sections are Originals, Clinical Notes, Images of Interest, and Special Collaboration articles.