ArticleCureus2026
Discordance Between Gated Single-Photon Emission Computed Tomography Myocardial Perfusion Imaging and Coronary Angiography in Dilated Cardiomyopathy.
Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Gated single-photon emission computed tomography myocardial perfusion imaging (SPECT-MPI) provides functional information that may help distinguish ischemic from nonischemic dilated cardiomyopathy (DCM). However, its classification may differ from that of coronary angiography (CAG). Examining these discordant cases may improve SPECT-MPI interpretation in patients with DCM. This study aimed to assess the pattern of discordance between gated SPECT-MPI and CAG in patients with DCM and describe the features of false-positive and false-negative SPECT-MPI findings. Methodology This cross-sectional secondary analysis included 89 patients who underwent CAG and gated SPECT-MPI during the same diagnostic sitting at the National Institute of Cardiovascular Diseases, Dhaka, Bangladesh, from October 2023 to August 2025, minimizing the possibility of intervening clinical events or therapeutic changes. We used CAG as the reference standard. We categorized patients as true-positive, true-negative, false-positive, or false-negative based on agreement between SPECT-MPI and CAG. We compared clinical, echocardiographic, angiographic, and quantitative SPECT-MPI parameters between groups. Results CAG classified 48 patients as ischemic cardiomyopathy and 41 as nonischemic DCM. SPECT-MPI agreed with CAG in 57 (64.0%) patients and disagreed in 32 (36.0%) patients, including 19 false-positive and 13 false-negative cases. The agreement was fair (κ = 0.269), although the association between modalities was significant (χ² = 6.545, p = 0.011). Using CAG as the reference standard, SPECT-MPI demonstrated a sensitivity of 72.9% (35/48), a specificity of 53.7% (22/41), and an overall accuracy of 64.0% (57/89). False-positive cases had higher summed stress scores, summed rest scores, summed difference scores, and transient ischemic dilation than true-negative cases. False-negative cases had lower summed stress scores, summed rest scores, and summed difference scores than true-positive cases, and most had double- or triple-vessel coronary disease. Conclusions In patients with DCM, gated SPECT-MPI and CAG showed discordant classification in more than one-third of cases. False-positive and false-negative patterns suggest that the two modalities provide complementary rather than fully interchangeable information. SPECT-MPI should be interpreted alongside the clinical profile, echocardiographic findings, and pre-test probability of CAD, particularly when imaging findings do not match the overall clinical picture.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.