Improving multi-pinhole CZT myocardial perfusion imaging specificity without changing sensibility by using adapted prefilter parameters

Author:

Vauchot Fabien1,Dubois Julien1,Bourdon Aurélie1

Affiliation:

1. University Hospital Centre of Montpellier: Centre Hospitalier Universitaire de Montpellier

Abstract

Abstract Background Meta-analysis show the diagnostic performance of cardiac dedicated multi-pinhole CZT (cadmium-zinc-telluride) myocardial perfusion imaging (MPI) with a sensibility around 0.9 and a specificity around 0.7. The aim of the present study is to explore a simple method to generate less artefact on MPI using single photon emission computed tomography (SPECT) and to enhance specificity without changing sensibility. Results From October 2018 to March 2019, 200 patients who underwent SPECT with [99mTc]Tc-tetrofosmin were prospectively recruited: 100 patients with ischemia or necrosis diagnosis (first arm), and 100 patients with myocardial reversible SPECT artefact (second arm). Each SPECT was explored using two image process based on a Butterworth prefilter: the original image processing (treatment A) with a cut-off frequency equals to 37% of the Nyquist frequency and order equals to 7, and a second image processing (treatment B) with a cut-off frequency equals to 25% of the Nyquist frequency and order equals to 5. For each patient, sum stress or rest score with and without septum (SSRS and SSRSws) were calculated with the two treatments. No significant statistical difference between SSRSa and SSRSb was identified for the first arm (P=0.54) and the relative difference ∆r was -0.5 ± 11.1 % (CI95 -2.6–1.8). We found a significant statistical difference between SSRSa and SSRSb for the second arm (p < 0.0001). Conclusion In conclusion, using a prefilter cut-off frequency equal to 25% of the Nyquist frequency before iterative reconstruction generates less artefact and improves myocardial SPECT specificity without affecting sensibility compared with the original treatment.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3