Evidence map›Paper›PMID 39790462›Full record

ArticleRadiology advances2024

Fractional flow reserve measurement using dynamic CT perfusion imaging in patients with coronary artery disease.

Aaron So, Ki Seok Choo, Ji Won Lee, Yun-Hyeon Kim, Mustafa Haider, Mahmud Hasan, Serag El-Ganga, Akshaye Goela, Patrick Teefy, Yeon Hyeon Choe

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Article in Radiology advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Aaron SoImaging, Lawson Research Institute, London, ON N6A 4V2, Canada.ORCID https://orcid.org/0000-0001-9293-158X
Ki Seok ChooRadiology, Pusan National University School of Medicine and Medical Research Institute, Pusan National University Yangsan Hospital, Yangsan-si, Gyeongsangnam-do 50612, Korea.ORCID https://orcid.org/0000-0001-5072-4259
Ji Won LeeRadiology, Pusan National University School of Medicine and Medical Research Institute, Pusan National University Hospital, Busan 49241, Korea.ORCID https://orcid.org/0000-0003-1800-8548
Yun-Hyeon KimRadiology, Chonnam National University Medical School, Chonnam National University Hospital, Gwangju 61469, Korea.ORCID https://orcid.org/0000-0002-0047-0729
Mustafa HaiderMedical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada.ORCID https://orcid.org/0009-0003-6670-8677
Mahmud HasanMedical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada.
Serag El-GangaMedical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada.
Akshaye GoelaMedical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada.
Patrick TeefyCardiology, London Health Sciences Centre, London, ON N6A 5W9, Canada.
Yeon Hyeon ChoeRadiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.ORCID https://orcid.org/0000-0002-9983-048X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purposes: The objective was to evaluate the accuracy of a novel CT dynamic angiographic imaging (CT-DAI) algorithm for rapid fractional flow reserve (FFR) measurement in patients with coronary artery disease (CAD). Materials and Methods: This retrospective study included 14 patients (age 58.5 ± 10.6 years, 11 males) with CAD who underwent stress dynamic CT myocardial perfusion scanning with a dual-source CT scanner. The included patients had analyzable proximal and distal coronary artery segments adjacent to the stenosis in the perfusion images and had corresponding invasive catheter-based FFR measurements for that stenosis. An in-house software based on the CT-DAI algorithm was used to compute FFR using the pre- and post- lesion coronary time-enhancement curves obtained from the stress myocardial perfusion images. The CT-DAI derived FFR values were then compared to the corresponding catheter-based invasive FFR values. A coronary artery stenosis was considered functionally significant for FFR value <0.8. Results: The CT-DAI derived FFR values were in agreement with the invasive FFR values in all 15 coronary arteries in 14 patients, resulting in 100% per-vessel and per-patient diagnostic accuracy. FFR derived using CT-DAI ( Conclusion: The novel CT-DAI algorithm can reliably compute FFR across a coronary artery stenosis directly from dynamic CT myocardial perfusion images, facilitating rapid on-site hemodynamic assessment of the epicardial coronary artery stenosis in patients with CAD.

Indexed as

coronary artery diseasedynamic CT myocardial perfusion imagingfractional flow reserve

Identifiers

PMID39790462
PMCPMC11706786

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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.