Literature DB >> 35149976

Image-derived and physiological markers to predict adequate adenosine-induced hyperemic response in Rubidium-82 myocardial perfusion imaging.

Martin Lyngby Lassen1, Mads Wissenberg2, Christina Byrne3, Majid Sheykhzade4, Preetee Kapisha Hurry3, Anne Vibeke Schmedes5, Andreas Kjær3, Philip Hasbak3.   

Abstract

AIMS: This study aimed to investigate the potential of different markers to identify adequate stressing in subjects with and without caffeine intake prior to Rubidium-82 myocardial imaging. METHODS AND
RESULTS: This study comprised 40 healthy subjects who underwent four serial Rubidium-82 rest/adenosine stress MPI; two with 0mg caffeine consumption (baseline MPIs) and two with controlled consumption of caffeine (arm 1: 100 and 300mg, or arm 2: 200 and 400mg). We report the sensitivity and specificity of seven markers ability to predict adequate adenosine-induced hyperemic response: (1) the splenic response ratio (SRR); (2) splenic stress-to-rest intensity ratios (SIR); (3) changes in heart rate (ΔHR); (4) percentwise change in heart rate (Δ%HR); (5) changes in the rate pressure product (ΔRPP); (6) changes in the systolic blood pressure (ΔSBP); and (7) changes in the cardiovascular resistance (ΔCVR). Adequate stressing was determined as stress myocardial blood flow > 3ml/g/min and a corresponding myocardial flow reserve >68% of the individual maximum myocardial flow reserve obtained in the baseline MPIs.
RESULTS: 129 MPI sessions (obtained in 39 subjects) were considered for this study. The following sensitivities were obtained: SSR = 72.7%, SIR = 63.6%, ΔHR = 45.5%, Δ%HR = 77.3%, ΔRPP = 54.5%, ΔSBP = 47.7%, and ΔCVR =40.9%, while the specificities were SSR = 80.9%, SIR = 85.0%, ΔHR = 90.4%, Δ%HR = 81.6%, ΔRPP=81.1%, ΔSBP = 86.4%, and ΔCVR =90.4%.
CONCLUSION: The image-derived and physiological markers all provide acceptable sensitivities and specificities when patients follow the caffeine pausation before MPI. However, their use warrants great care when caffeine consumption cannot be ruled out.
© 2022. The Author(s).

Entities:  

Keywords:  82-Rubidium; Adenosine; Cardiac PET; Myocardial flow reserve; Pharmacological stress

Year:  2022        PMID: 35149976     DOI: 10.1007/s12350-022-02906-9

Source DB:  PubMed          Journal:  J Nucl Cardiol        ISSN: 1071-3581            Impact factor:   5.952


  13 in total

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Journal:  J Nucl Cardiol       Date:  2018-04-12       Impact factor: 5.952

2.  Are you stressed?

Authors:  C Rischpler; M Totzeck
Journal:  J Nucl Cardiol       Date:  2018-06-13       Impact factor: 5.952

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Authors:  Vasken Dilsizian; Stephen L Bacharach; Rob S Beanlands; Steven R Bergmann; Dominique Delbeke; Sharmila Dorbala; Robert J Gropler; Juhani Knuuti; Heinrich R Schelbert; Mark I Travin
Journal:  J Nucl Cardiol       Date:  2016-07-08       Impact factor: 5.952

4.  American Society of Nuclear Cardiology and Society of Nuclear Medicine and Molecular Imaging Joint Position Statement on the Clinical Indications for Myocardial Perfusion PET.

Authors:  Timothy M Bateman; Vasken Dilsizian; Rob S Beanlands; E Gordon DePuey; Gary V Heller; David A Wolinsky
Journal:  J Nucl Med       Date:  2016-08-25       Impact factor: 10.057

5.  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
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7.  Diagnostic accuracy of rubidium-82 myocardial perfusion imaging with hybrid positron emission tomography/computed tomography in the detection of coronary artery disease.

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Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-11-02       Impact factor: 9.236

9.  Factors associated with false-negative cardiovascular magnetic resonance perfusion studies: A Clinical evaluation of magnetic resonance imaging in coronary artery disease (CE-MARC) substudy.

Authors:  Ananth Kidambi; Steven Sourbron; Neil Maredia; Manish Motwani; Julia M Brown; Jane Nixon; Colin C Everett; Sven Plein; John P Greenwood
Journal:  J Magn Reson Imaging       Date:  2015-08-18       Impact factor: 4.813

10.  Sex Differences and Caffeine Impact in Adenosine-Induced Hyperemia.

Authors:  Martin Lyngby Lassen; Christina Byrne; Majid Sheykhzade; Mads Wissenberg; Preetee Kapisha Hurry; Anne Vibeke Schmedes; Andreas Kjaer; Philip Hasbak
Journal:  J Nucl Med       Date:  2021-07-08       Impact factor: 10.057

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  1 in total

1.  Assessing if adequate hyperemic response to pharmacologic stress in Rb-82 PET myocardial perfusion imaging is achieved: are biomarkers helpful?

Authors:  Mark F Smith
Journal:  J Nucl Cardiol       Date:  2022-04-08       Impact factor: 5.952

  1 in total

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