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本文引用的文献

1
Automated dynamic motion correction using normalized gradient fields for rubidium PET myocardial blood flow quantification.基于归一化梯度场的自动动态运动校正在放射性核素 PET 心肌血流定量中的应用
J Nucl Cardiol. 2020 Dec;27(6):1982-1998. doi: 10.1007/s12350-018-01471-4. Epub 2018 Nov 7.
2
Blood pool and tissue phase patient motion effects on rubidium PET myocardial blood flow quantification.血池和组织相患者运动对铷 PET 心肌血流定量的影响。
J Nucl Cardiol. 2019 Dec;26(6):1918-1929. doi: 10.1007/s12350-018-1256-1. Epub 2018 Mar 23.
3
Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC.使用正电子发射断层扫描(PET)进行心肌血流的临床定量:SNMMI心血管委员会和ASNC的联合立场文件
J Nucl Med. 2018 Feb;59(2):273-293. doi: 10.2967/jnumed.117.201368. Epub 2017 Dec 14.
4
Consistent tracer administration profile improves test-retest repeatability of myocardial blood flow quantification with Rb dynamic PET imaging.采用一致的示踪剂给药方案可提高应用 Rb 动态 PET 成像进行心肌血流定量检测的试验-重复测量的可重复性。
J Nucl Cardiol. 2018 Jun;25(3):929-941. doi: 10.1007/s12350-016-0698-6.
5
Preserved coronary flow reserve effectively excludes high-risk coronary artery disease on angiography.保留的冠状动脉血流储备可有效排除血管造影上的高危冠状动脉疾病。
J Nucl Med. 2014 Feb;55(2):248-55. doi: 10.2967/jnumed.113.121442. Epub 2014 Jan 9.
6
Added prognostic value of myocardial blood flow quantitation in rubidium-82 positron emission tomography imaging.锶-82 正电子发射断层成像心肌血流定量增加预后价值。
Eur Heart J Cardiovasc Imaging. 2013 Dec;14(12):1203-10. doi: 10.1093/ehjci/jet068. Epub 2013 May 9.
7
Short-term repeatability of resting myocardial blood flow measurements using rubidium-82 PET imaging.采用铷-82 PET 成像测量静息心肌血流的短期重复性。
J Nucl Cardiol. 2012 Oct;19(5):997-1006. doi: 10.1007/s12350-012-9600-3. Epub 2012 Jul 24.
8
Improved cardiac risk assessment with noninvasive measures of coronary flow reserve.非侵入性冠状动脉血流储备测量可改善心脏风险评估。
Circulation. 2011 Nov 15;124(20):2215-24. doi: 10.1161/CIRCULATIONAHA.111.050427. Epub 2011 Oct 17.
9
Impaired myocardial flow reserve on rubidium-82 positron emission tomography imaging predicts adverse outcomes in patients assessed for myocardial ischemia.铷-82 正电子发射断层成像显示的心肌血流储备受损可预测评估心肌缺血患者的不良预后。
J Am Coll Cardiol. 2011 Aug 9;58(7):740-8. doi: 10.1016/j.jacc.2011.01.065.
10
Intra- and inter-operator repeatability of myocardial blood flow and myocardial flow reserve measurements using rubidium-82 pet and a highly automated analysis program.使用铷-82 PET 和高度自动化分析程序测量心肌血流和心肌血流储备的内、操作者重复性。
J Nucl Cardiol. 2010 Aug;17(4):600-16. doi: 10.1007/s12350-010-9225-3. Epub 2010 Apr 13.

降低铷心肌血流定量中运动校正引起的变异性。

Reducing motion-correction-induced variability in rubidium myocardial blood-flow quantification.

机构信息

INVIA Medical Imaging Solutions, 3025 Boardwalk Dr. Suite 200, Ann Arbor, MI, 48108, USA.

Division of Cardiovascular Medicine, Department of Internal Medicine and Frankel Cardiovascular Center, University of Michigan, Ann Arbor, USA.

出版信息

J Nucl Cardiol. 2020 Aug;27(4):1104-1113. doi: 10.1007/s12350-019-01911-9. Epub 2019 Oct 23.

DOI:10.1007/s12350-019-01911-9
PMID:31646469
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7176539/
Abstract

BACKGROUND

Clinical use of myocardial blood flow (MBF) and flow reserve (MFR) is increasing. Motion correction is necessary to obtain accurate results but can introduce variability when performed manually. We sought to reduce that variability with an automated motion-correction algorithm.

METHODS

A blinded randomized controlled trial of two technologists was performed on the motion correction of 100 dynamic Rb patient studies comparing manual motion correction with manual review and adjustment of automated motion correction. Inter-rater variability between technologists for MBF and MFR was the primary outcome with comparison made by analysis of the limits of agreement. Processing time was the secondary outcome.

RESULTS

Limits of agreements between the two technologists decreased significantly for both MBF and MFR, going from [- 0.22, 0.22] mL/min/g and [- 0.31, 0.36] to [- 0.12, 0.15] mL/min/g and [- 0.15, 0.18], respectively (both P < .002). In addition, the average time spent on motion correcting decreased by 1 min per study from 5:21 to 4:21 min (P = .001).

CONCLUSIONS

In this randomized controlled trial, the use of automated motion correction significantly decreased inter-user variability and reduced processing time.

摘要

背景

心肌血流 (MBF) 和血流储备 (MFR) 的临床应用正在增加。为了获得准确的结果,需要进行运动校正,但手动进行运动校正可能会引入变异性。我们试图通过自动运动校正算法来减少这种变异性。

方法

对 100 例动态 Rb 患者研究进行了两名技术员的盲法随机对照试验,比较了手动运动校正与手动审查和自动运动校正的调整。MBF 和 MFR 的技术员之间的组内变异性是主要结果,通过分析一致性界限进行比较。处理时间是次要结果。

结果

两名技术员之间的 MBF 和 MFR 的一致性界限显著降低,从[-0.22, 0.22] mL/min/g 和[-0.31, 0.36]分别降至[-0.12, 0.15] mL/min/g 和[-0.15, 0.18] (均 P<0.002)。此外,每例研究的运动校正时间平均减少了 1 分钟,从 5:21 降至 4:21 分钟 (P=0.001)。

结论

在这项随机对照试验中,使用自动运动校正显著降低了用户之间的变异性,并减少了处理时间。