Evidence map›Paper›PMID 37726521›Full record

ArticleThe international journal of cardiovascular imaging2022

Diagnostic comparison of automatic and manual TIMI frame-counting-generated quantitative flow ratio (QFR) values.

Aditya Devineni, Molly B Levine, Gebremedhin D Melaku, Yirga Kahsay, Michael Finizio, Ron Waksman, Hector M Garcia-Garcia

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Article in The international journal of cardiovascular imaging, 2022. 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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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Aditya DevineniInterventional Cardiology, MedStar Washington Hospital Center, Washington, DC, USA.
Molly B LevineInterventional Cardiology, MedStar Washington Hospital Center, Washington, DC, USA.
Gebremedhin D MelakuInterventional Cardiology, MedStar Washington Hospital Center, Washington, DC, USA.
Yirga KahsayInterventional Cardiology, MedStar Washington Hospital Center, Washington, DC, USA.
Michael FinizioInterventional Cardiology, MedStar Washington Hospital Center, Washington, DC, USA.
Ron WaksmanInterventional Cardiology, MedStar Washington Hospital Center, Washington, DC, USA.
Hector M Garcia-GarciaInterventional Cardiology, MedStar Washington Hospital Center, Washington, DC, USA. hector.m.garciagarcia@medstar.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative flow ratio (QFR) is a computational measurement of FFR (fractional flow reserve), calculated from coronary angiography. Latest QFR software automates TIMI frame counting (TFC), which occurs during the flow step of QFR analyses, making the analysis faster and more reproducible. The objective is to determine the diagnostic performance of QFR values obtained from analyses using automatic TFC compared to those obtained from analyses using manual TFC. This was a single-arm clinical trial that used the prospective analysis of the coronary angiographic image series of 97 patients who underwent evaluation of stable coronary artery disease with FFR/iFR at MedStar Washington Hospital Center in Washington, DC, USA. Automatic and manual TFC QFR values were obtained from the analyses of each of the 97 patients' image series, with manual TFC QFR values as the current gold standard for comparison. The diagnostic performance of automatic TFC QFR values was measured as follows: sensitivity was 0.87 (95% CI 0.66-0.97) and specificity was 1.00 (95% CI 0.9514-1.00), positive predictive value (PPV) was 1.00 (95%CI 1.00-1.00), while the NPV was 0.96 (95% CI 0.96-0.99). Overall accuracy was 96.91% (95% CI 91.23%-99.36%). The agreement as illustrated by the Bland-Altman plot shows a bias of 0.0023 (SD 0.0208) and narrow limits of agreement (LOA): Upper LOA 0.0573 and Lower LOA - 0.0528. The area under curve (AUC) was 0.996. QFR values generated from automatic TFC are comparable to those generated from manual TFC in diagnostic capability. The most recent software update produces values equivalent to those of the previous manual option, and can therefore be used interchangeably.

Indexed as

Coronary Artery DiseaseFractional Flow Reserve, MyocardialArea Under CurveCoronary AngiographyHumansPredictive Value of TestsAutomaticCoronary artery diseaseQFRQuantitative flow ratioThrombolysis in myocardial infarctionTIMI frame-count

Identifiers

PMID37726521

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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.