Evidence map›Paper›PMID 36849635›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2023

Comparison of positional artifacts in myocardial perfusion imaging in supine and semi-reclining position using dedicated D-SPECT cardiac camera: validation using CT based attenuation correction.

Sejal Chopra, Shashank Shekhar Singh, Ashwani Sood, Madan Parmar, Ashwin Singh Parihar, Shelvin Kumar Vadi, Bhagwant Rai Mittal

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Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2 citing papers in PubMed.

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7 authors.

Sejal Chopra *Department of Nuclear Medicine, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Shashank Shekhar Singh *Department of Nuclear Medicine, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Ashwani SoodDepartment of Nuclear Medicine, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Madan ParmarDepartment of Nuclear Medicine, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Ashwin Singh PariharDepartment of Nuclear Medicine, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Shelvin Kumar VadiDepartment of Nuclear Medicine, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Bhagwant Rai MittalDepartment of Nuclear Medicine, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India. brmittal@yahoo.com.

Funding

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6 · The paper itself

Abstract

backgroundSoft-tissue attenuation remains a major limitation of SPECT-MPI which interferes with the diagnosis of CAD. The current study aims to evaluate the pattern of attenuation artifacts in supine and semi-reclining positions on CZT cardiac camera and their interaction with gender, BMI and stress protocols.

methodsWe prospectively analysed 150 patients acquired in supine and semi-reclining positions on CZT camera. The images were evaluated for severity and extent of defect using 17-segment model. An additional CT scan was acquired to generate AC image in the first 50 patients studied to assist investigator learning for comparison of artifact vs true defects in the two SPECT systems. The defects present in one position or showing change in severity within two positions were considered as positional artifacts and further validated using CTAC supine image.

resultsIn overall analysis, higher extent and severity of positional artifacts were observed more in semi-reclining position affecting the apex, apico-inferior, inferolateral and inferoseptal segments. Females showed more positional artifacts than males with inferior wall attenuation in the semireclining position and anterior wall attenuation in the supine position. A positive correlation of the extent and severity of positional artifacts was noted with an increasing BMI. In patients with BMI > 30, mid inferior and inferolateral segments were most affected followed by anterior wall segments. Highest correction of artifactual perfusion defects by CTAC was noted in inferior wall followed by inferolateral segments.

conclusionThe incidence of positional artifacts was greater in semi-reclining position in females, higher BMI groups and adenosine stress subsets. Knowledge of the pattern of positional artifacts appears to be a reliable alternative of CTAC for correct interpretation of myocardial perfusion images.

Indexed as

Myocardial Perfusion ImagingArtifactsFemaleHumansImage Processing, Computer-AssistedMaleSupine PositionTomography, Emission-Computed, Single-PhotonTomography, X-Ray ComputedCADimage analysisinfarctionMPImyocardial ischemiaSPECT

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.