Semi-quantitative assessment of ischemia with rubidium-82 PET myocardial perfusion imaging.


Journal

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
ISSN: 1532-6551
Titre abrégé: J Nucl Cardiol
Pays: United States
ID NLM: 9423534

Informations de publication

Date de publication:
12 2022
Historique:
received: 22 03 2021
accepted: 24 10 2021
pubmed: 1 1 2022
medline: 14 1 2023
entrez: 31 12 2021
Statut: ppublish

Résumé

Semi-quantitative scores can be used as an adjunct to visual assessment in rubidium-82 positron emission tomography ( We included 108 patients who underwent 41 (38%) Normal scans, and 67 (62%) scans with ischemia and/or an irreversible defect were included. The semi-quantitative assessment showed ischemia more often than the visual assessment (51% vs 29%, P < .001). Patients with a low or intermediate pre-test probability of coronary artery disease (CAD) and a SDS < 4 did not demonstrate ischemia by visual assessment. Semi-quantitative assessment in

Identifiants

pubmed: 34970710
doi: 10.1007/s12350-021-02884-4
pii: 10.1007/s12350-021-02884-4
doi:

Substances chimiques

Rubidium-82 9K730EL8KU
Rubidium Radioisotopes 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3155-3162

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2021. The Author(s) under exclusive licence to American Society of Nuclear Cardiology.

Références

Task Force Members, Montalescot G, Sechtem U, Achenbach S, Andreotti F, Arden C. ESC guidelines on the management of stable coronary artery disease: The Task Force on the Management of Stable Coronary Artery Disease of the European Society of Cardiology. Eur Heart J 2013;2013:2949‐3003.
McArdle BA, Dowsley TF, deKemp RA, Wells GA, Beanlands RS. Does rubidium-82 PET have superior accuracy to SPECT perfusion imaging for the diagnosis of obstructive coronary disease? A systematic review and meta-analysis. J Am Coll Cardiol 2012;60:1828‐37.
doi: 10.1016/j.jacc.2012.07.038
Takx RA, Blomberg BA, El Aidi H, Habets J, de Jong PA, Nagel E, et al. Diagnostic accuracy of stress myocardial perfusion imaging compared to invasive coronary angiography with fractional flow reserve meta-analysis. Circ Cardiovasc Imaging 2015;8:e002666.
doi: 10.1161/CIRCIMAGING.114.002666
Jaarsma C, Leiner T, Bekkers SC, Crijns HJ, Wildberger JE, Nagel E, et al. Diagnostic performance of noninvasive myocardial perfusion imaging using single-photon emission computed tomography, cardiac magnetic resonance, and positron emission tomography imaging for the detection of obstructive coronary artery disease: A meta-analysis. J Am Coll Cardiol 2012;59:1719‐28.
doi: 10.1016/j.jacc.2011.12.040
Dorbala S, Ananthasubramaniam K, Armstrong IS, Chareonthaitawee P, DePuey EG, Einstein AJ, et al. Single photon emission computed tomography (SPECT) myocardial perfusion imaging guidelines: Instrumentation, acquisition, processing, and interpretation. J Nucl Cardiol 2018. https://doi.org/10.1007/s12350-018-1283-y .
doi: 10.1007/s12350-018-1283-y
Dilsizian V, Bacharach SL, Beanlands RS, Bergmann SR, Delbeke D, Dorbala S, et al. ASNC imaging guidelines/SNMMI procedure standard for positron emission tomography (PET) nuclear cardiology procedures. J Nucl Cardiol 2016. https://doi.org/10.1007/s12350-016-0522-3 .
doi: 10.1007/s12350-016-0522-3
Slomka PJ, Nishina H, Berman DS, Akincioglu C, Abidov A, Friedman JD, et al. Automated quantification of myocardial perfusion SPECT using simplified normal limits. J Nucl Cardiol 2005;12:66‐77.
doi: 10.1016/j.nuclcard.2004.10.006
Kaster T, Mylonas I, Renaud JM, Wells GA, Beanlands RSB, deKemp RA. Accuracy of low-dose rubidium-82 myocardial perfusion imaging for detection of coronary artery disease using 3D PET and normal database interpretation. J Nucl Cardiol 2012;19:1135‐45.
doi: 10.1007/s12350-012-9621-y
Ziadi MC, Dekemp RA, Williams KA, Guo A, Chow BJ, Renaud JM, et al. Impaired myocardial flow reserve on rubidium-82 positron emission tomography imaging predicts adverse outcomes in patients assessed for myocardial ischemia. J Am Coll Cardiol 2011;58:740‐8. https://doi.org/10.1016/j.jacc.2011.01.065 .
doi: 10.1016/j.jacc.2011.01.065
Driessen RS, Raijmakers PG, Stuijfzand WJ, Knaapen P. Myocardial perfusion imaging with PET. Int J Cardiovasc Imaging 2017;33:1021‐31.
doi: 10.1007/s10554-017-1084-4
Driessen RS, Raijmakers PG, Danad I, Stuijfzand WJ, Schumacher SP, Leipsic JA, et al. Automated SPECT analysis compared with expert visual scoring for the detection of FFR-defined coronary artery disease. Eur J Nucl Med Mol Imaging 2018;45:1091‐100.
doi: 10.1007/s00259-018-3951-1
Lane Duvall W, Slomka PJ, Gerlach JR, Sweeny JM, Baber U, Croft LB, et al. High-efficiency SPECT MPI: Comparison of automated quantification, visual interpretation, and coronary angiography. J Nucl Cardiol 2013;20:763‐73.
doi: 10.1007/s12350-013-9735-x
Xu Y, Hayes S, Ali I, Ruddy TD, Wells RG, Berman DS, et al. Automatic and visual reproducibility of perfusion and function measures for myocardial perfusion SPECT. J Nucl Cardiol 2010;17:1050‐7.
doi: 10.1007/s12350-010-9297-0
Huizing ED, van Dijk JD, van Dalen JA, Timmer JR, Arkies H, Slump CH, et al. Minimizing rubidium-82 tracer activity for relative PET myocardial perfusion imaging. Nucl Med Commun 2017;38:708‐14.
doi: 10.1097/MNM.0000000000000701
Kaster T, Mylonas I, Renaud JM, et al. Clinical interpretation standards and quality assurance for the multicenter PET/CT trial rubidium-ARMI. J Nucl Med 2014;55:58‐64.
doi: 10.2967/jnumed.112.117515
Berman DS, Abidov A, Kang X, Hayes SW, Friedman JD, Sciammarella MG, et al. Prognostic validation of a 17-segment score derived from a 20-segment score for myocardial perfusion SPECT interpretation. J Nucl Cardiol 2004;11:414‐23.
doi: 10.1016/j.nuclcard.2004.03.033
Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977;33:159‐74.
doi: 10.2307/2529310
Sampson UK, Dorbala S, Limaye A, Kwong R, Di Carli MF. Diagnostic accuracy of rubidium-82 myocardial perfusion imaging with hybrid positron emission tomography/computed tomography in the detection of coronary artery disease. J Am Coll Cardiol 2007;49:1052‐8.
doi: 10.1016/j.jacc.2006.12.015
Murthy VL, Naya M, Foster CR, Hainer J, Gaber M, Di Carli G, et al. Improved cardiac risk assessment with noninvasive measures of coronary flow reserve. Circulation 2011;124:2215‐24.
doi: 10.1161/CIRCULATIONAHA.111.050427

Auteurs

N M Borren (NM)

Department of Nuclear Medicine, Isala, Zwolle, The Netherlands.
Department of Cardiology, Isala, Dr. Van Heesweg 2, 8025 AB, Zwolle, The Netherlands.

T J Gerritse (TJ)

Department of Nuclear Medicine, Isala, Zwolle, The Netherlands.

J P Ottervanger (JP)

Department of Cardiology, Isala, Dr. Van Heesweg 2, 8025 AB, Zwolle, The Netherlands. j.p.ottervanger@isala.nl.

M Mouden (M)

Department of Cardiology, Isala, Dr. Van Heesweg 2, 8025 AB, Zwolle, The Netherlands.

J R Timmer (JR)

Department of Cardiology, Isala, Dr. Van Heesweg 2, 8025 AB, Zwolle, The Netherlands.

J A van Dalen (JA)

Department of Medical Physics, Isala, Zwolle, The Netherlands.

P L Jager (PL)

Department of Nuclear Medicine, Isala, Zwolle, The Netherlands.

J D van Dijk (JD)

Department of Nuclear Medicine, Isala, Zwolle, The Netherlands.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH