Literature DB >> 23090213

Cardiac PET/CT misregistration causes significant changes in estimated myocardial blood flow.

Mahadevan Rajaram1, Abdel K Tahari, Andy H Lee, Martin A Lodge, Benjamin Tsui, Stephan Nekolla, Richard L Wahl, Frank M Bengel, Paco E Bravo.   

Abstract

UNLABELLED: Misregistration of cardiac PET/CT data can lead to misinterpretation of regional myocardial perfusion. However, the effect of misregistration on the quantification of myocardial blood flow (MBF) has not been studied.
METHODS: Cardiac (82)Rb-PET/CT scans of 10 patients with normal regional myocardial perfusion were analyzed. Realignment was done for the baseline and stress PET/CT images as necessary, and MBF was obtained from dynamic data. Then, the stress images were misregistered by 5 mm along the x-axis (left) and z-axis (cranial) and again by 10 mm. A 10-mm misregistration in the opposite direction (-10 mm along the x-axis [right] and z-axis [caudal]) was also tested. Stress MBF was recalculated for 5-, 10-, and -10-mm misregistrations.
RESULTS: Stress MBF of the left ventricle decreased by 10% ± 6% (P = 0.005) after 5-mm misregistration and by 24% ± 15% (P = 0.001) after 10-mm misregistration. In descending order, the most important stress MBF changes occurred in the anterior (39% ± 9%), lateral (34% ± 9%), apical (20% ± 16%), inferior (12% ± 10%), and septal (10% ± 12%) walls after 10-mm misregistration. Lesser changes were observed after 5-mm misregistration, with the same wall distribution. In contrast, -10-mm misregistration increased global MBF by 9% ± 6% (P = 0.004). In descending order, the overestimation of estimated MBF after -10-mm misregistration occurred in the lateral (15% ± 8%), apical (15% ± 18%), anterior (9% ± 5%), and inferior (9% ± 11%) walls.
CONCLUSION: Misregistration of the stress PET/CT dataset leads to significant global and regional artifactual alterations in the estimated MBF. Quantitative error was observed throughout the myocardium and was not confined to those heart regions that extended into the lung on misregistered CT.

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Year:  2012        PMID: 23090213     DOI: 10.2967/jnumed.112.108183

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  21 in total

1.  Apparent left ventricular cavity dilatation during PET/CT in hypertrophic cardiomyopathy: Clinical predictors and potential mechanisms.

Authors:  Paco E Bravo; Abdel Tahari; Iraklis Pozios; Hong-Chang Luo; Frank M Bengel; Richard L Wahl; M Roselle Abraham; Theodore P Abraham
Journal:  J Nucl Cardiol       Date:  2015-05-20       Impact factor: 5.952

Review 2.  Precision and accuracy of clinical quantification of myocardial blood flow by dynamic PET: A technical perspective.

Authors:  Jonathan B Moody; Benjamin C Lee; James R Corbett; Edward P Ficaro; Venkatesh L Murthy
Journal:  J Nucl Cardiol       Date:  2015-04-14       Impact factor: 5.952

3.  Interpolated average CT for cardiac PET/CT attenuation correction.

Authors:  Greta S P Mok; Cobie Y T Ho; Bang-Hung Yang; Tung-Hsin Wu
Journal:  J Nucl Cardiol       Date:  2015-05-02       Impact factor: 5.952

4.  Myocardial Creep: we can now look it in the eye without framewise PET-CT registration for myocardial blood flow quantification.

Authors:  Elia von Felten; Andreas A Giannopoulos
Journal:  J Nucl Cardiol       Date:  2019-03-27       Impact factor: 5.952

5.  Moving towards a better understanding of potential pitfalls in quantitative PET myocardial blood flow.

Authors:  Paul C Cremer; Frank P DiFilippo; Wael A Jaber
Journal:  J Nucl Cardiol       Date:  2017-02-22       Impact factor: 5.952

Review 6.  Motion Correction and Its Impact on Absolute Myocardial Blood Flow Measures with PET.

Authors:  Marina Piccinelli; John R Votaw; Ernest V Garcia
Journal:  Curr Cardiol Rep       Date:  2018-03-24       Impact factor: 2.931

7.  Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC.

Authors:  Venkatesh L Murthy; Timothy M Bateman; Rob S Beanlands; Daniel S Berman; Salvador Borges-Neto; Panithaya Chareonthaitawee; Manuel D Cerqueira; Robert A deKemp; E Gordon DePuey; Vasken Dilsizian; Sharmila Dorbala; Edward P Ficaro; Ernest V Garcia; Henry Gewirtz; Gary V Heller; Howard C Lewin; Saurabh Malhotra; April Mann; Terrence D Ruddy; Thomas H Schindler; Ronald G Schwartz; Piotr J Slomka; Prem Soman; Marcelo F Di Carli; Andrew Einstein; Raymond Russell; James R Corbett
Journal:  J Nucl Cardiol       Date:  2018-02       Impact factor: 5.952

8.  Dependency of cardiac rubidium-82 imaging quantitative measures on age, gender, vascular territory, and software in a cardiovascular normal population.

Authors:  John J Sunderland; Xiao-Bo Pan; Jerome Declerck; Yusuf Menda
Journal:  J Nucl Cardiol       Date:  2014-10-08       Impact factor: 5.952

9.  Importance of correct patient positioning in myocardial perfusion SPECT when using a CZT camera.

Authors:  Cecilia Hindorf; Jenny Oddstig; Fredrik Hedeer; Magnus J Hansson; Jonas Jögi; Henrik Engblom
Journal:  J Nucl Cardiol       Date:  2014-05-08       Impact factor: 5.952

10.  Absolute myocardial flow quantification with (82)Rb PET/CT: comparison of different software packages and methods.

Authors:  Abdel K Tahari; Andy Lee; Mahadevan Rajaram; Kenji Fukushima; Martin A Lodge; Benjamin C Lee; Edward P Ficaro; Stephan Nekolla; Ran Klein; Robert A deKemp; Richard L Wahl; Frank M Bengel; Paco E Bravo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-08-28       Impact factor: 9.236

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