ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2021
Role of quantitative myocardial blood flow and
Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04941248 (The Application of Total-body 13N-NH3 PET/CT to Study the Blood Perfusion System in Severe AS Patients Before and After TAVR Surgery in the Whole Body), which is not on this map. Cited by 6 papers.
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.
The Application of Total-body 13N-NH3 PET/CT to Study the Blood Perfusion System in Severe AS Patients Before and After TAVR Surgery in the Whole Body
Who cites it
6 citing papers in PubMed, 18 citations in OpenAlex.
- Prediction of major arrhythmic outcomes in ischaemic cardiomyopathy: value of hibernating myocardium in positron emission tomography/computed tomography.European heart journal. Cardiovascular Imaging · 2024Article
- Assessment of resting myocardial blood flow in regions of known transmural scar to confirm accuracy and precision of 3D cardiac positron emission tomography.EJNMMI research · 2023Article
- Prognostic value of regional myocardial flow reserve derived fromEuropean journal of nuclear medicine and molecular imaging · 2021Article
- Value of 12-lead electrocardiogram to predict myocardial scar on FDG PET in heart failure patients.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021Article
- The complexity of using resting myocardial perfusion to assess myocardial viability and predict functional recovery.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021Article
- No differences in rest myocardial blood flow in stunned and hibernating myocardium: insights into the pathophysiology of ischemic cardiomyopathy.European journal of nuclear medicine and molecular imaging · 2019Article
Corrections and comments
- Commented on by
Authors and funding
14 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivePositron emission tomography (PET) integrating assessment of perfusion with
methodsIn 180 consecutive patients with ischemic cardiomyopathy, myocardium was categorized on a segment-level into normal, ischemic, hibernating, and scar. From dynamic images, stress MBF, rest MBF, and k2 were derived and myocardial flow reserve (MFR) and volume of distribution (VD) were calculated.
resultsAcross myocardial tissues, all parameters differed significantly. The area under the curve (AUC) was 0.564 (95% CI 0.527-0.601), 0.635 (0.599-0.671), 0.553 (0.516-0.591), 0.520 (0.482-0.559), and 0.560 (0.522-0.597) for stress MBF, rest MBF, MFR, k2, and VD. The generalized linear mixed model correctly classified 81% of scar as viable, hibernating myocardium. If the threshold of rest MBF to predict viability was set to 0.45 mL·min
conclusionQuantitative NH3 PET parameters have low to moderate diagnostic performance to predict viability in ischemic cardiomyopathy. However, if rest MBF falls below 0.45 mL·min
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.