ArticleEuropean journal of hybrid imaging2022
Static CT myocardial perfusion imaging: image quality, artifacts including distribution and diagnostic performance compared to
Article in European journal of hybrid imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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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.
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Who cites it
1 citing paper in PubMed, 3 citations in OpenAlex.
- Low-dose quantitative CT myocardial flow measurement using a single volume scan: phantom and animal validation.Journal of medical imaging (Bellingham, Wash.) · 2023Article
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Authors and funding
8 authors at 3 institutions in 4 countries.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundRubidium-82 positron emission tomography (
methodsForty-four patients with suspected or diagnosed CAD underwent both static CT-MPI and
resultsOn a per-patient basis, there was moderate agreement between CT-MPI and PET-MPI with a weighted 0.49 for detection of stress induced perfusion abnormalities. Using PET-MPI as a reference, static CT-MPI had 89% sensitivity (SS), 58% specificity (SP), 71% accuracy (AC), 88% negative predictive value (NPV), and 59% positive predictive value (PPV) to diagnose stress-rest perfusion deficits on a per-patient basis. On a per-territory analysis, CT-MPI had 73% SS, 65% SP, 67% AC, 90.8% NPV, and 34% PPV to diagnose perfusion deficits.
conclusionsCT-MPI has high sensitivity and good overall accuracy for the diagnosis of functionally significant CAD using
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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 Socratic graph.