Evidence map›Paper›PMID 35770218›Full record

ArticleFrontiers in cardiovascular medicine2022

Computational Fractional Flow Reserve From Coronary Computed Tomography Angiography-Optical Coherence Tomography Fusion Images in Assessing Functionally Significant Coronary Stenosis.

Yong-Joon Lee, Young Woo Kim, Jinyong Ha, Minug Kim, Giulio Guagliumi, Juan F Granada, Seul-Gee Lee, Jung-Jae Lee, Yun-Kyeong Cho, Hyuck Jun Yoon and 15 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03298282 (Integrated Coronary Multicenter Imaging Registry), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
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.

NCT03298282 unknown statusnot on this map

Integrated Coronary Multicenter Imaging Registry

TypeobservationalSponsorYonsei UniversityRan2017 to 2021Enrolled180ConditionsCoronary Artery DiseaseArmsOCT (Optical Coherence Tomography), Coronary CTA, FFR
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. 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

25 authors at 10 institutions in 3 countries.

Yong-Joon LeeDivision of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Young Woo KimDepartment of Mechanical Engineering, Yonsei University, Seoul, South Korea.
Jinyong HaDepartment of Electrical Engineering, Sejong University, Seoul, South Korea.
Minug KimDepartment of Electrical Engineering, Sejong University, Seoul, South Korea.
Giulio GuagliumiDepartment of Cardiovascular, Ospedale Papa Giovanni XXIII, Bergamo, Italy.
Juan F GranadaCardiovascular Research Foundation, Columbia University Medical Center, New York, NY, United States.
Seul-Gee LeeYonsei Cardiovascular Research Institute, Yonsei University College of Medicine, Seoul, South Korea.
Jung-Jae LeeYonsei Cardiovascular Research Institute, Yonsei University College of Medicine, Seoul, South Korea.
Yun-Kyeong ChoDepartment of Cardiology, Keimyung University Dongsan Hospital, Daegu, South Korea.
Hyuck Jun YoonDepartment of Cardiology, Keimyung University Dongsan Hospital, Daegu, South Korea.
Jung Hee LeeDivision of Cardiology, Yeungnam University Medical Center, Yeungnam University College of Medicine, Daegu, South Korea.
Ung KimDivision of Cardiology, Yeungnam University Medical Center, Yeungnam University College of Medicine, Daegu, South Korea.
Ji-Yong JangNational Health Insurance Service Ilsan Hospital, Goyang, South Korea.
Seung-Jin OhNational Health Insurance Service Ilsan Hospital, Goyang, South Korea.
Seung-Jun LeeDivision of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Sung-Jin HongDivision of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Chul-Min AhnDivision of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Byeong-Keuk KimDivision of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Hyuk-Jae ChangDivision of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Young-Guk KoDivision of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Donghoon ChoiDivision of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Myeong-Ki HongDivision of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Yangsoo JangDivision of Cardiology, CHA Bundang Medical Center, CHA University College of Medicine, Seongnam, South Korea.
Joon Sang LeeDepartment of Mechanical Engineering, Yonsei University, Seoul, South Korea.
Jung-Sun KimDivision of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Gangnam Severance Hospital · KRYonsei University · KRYeungnam University CollegeKeimyung University · KRNational Health Insurance Service Ilsan Hospital · KRSejong University · KRCardiovascular Research Foundation · USCHA University · KROspedale Papa Giovanni XXIII · ITYeungnam University Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronary computed tomography angiography (CTA) and optical coherence tomography (OCT) provide additional functional information beyond the anatomy by applying computational fluid dynamics (CFD). This study sought to evaluate a novel approach for estimating computational fractional flow reserve (FFR) from coronary CTA-OCT fusion images. Methods: Among patients who underwent coronary CTA, 148 patients who underwent both pressure wire-based FFR measurement and OCT during angiography to evaluate intermediate stenosis in the left anterior descending artery were included from the prospective registry. Coronary CTA-OCT fusion images were created, and CFD was applied to estimate computational FFR. Based on pressure wire-based FFR as a reference, the diagnostic performance of Fusion-FFR was compared with that of CT-FFR and OCT-FFR. Results: Fusion-FFR was strongly correlated with FFR ( Conclusion: CFD-based computational FFR from coronary CTA-OCT fusion images provided more accurate functional information than coronary CTA or OCT alone. Clinical Trial Registration: [www.ClinicalTrials.gov], identifier [NCT03298282].

Indexed as

computational fluid dynamics (CFD)coronary computed tomography angiography (coronary CTA)fractional flow reserve (FFR)fusion imageoptical coherence tomography (OCT)

Identifiers

PMID35770218
PMCPMC9234158
OpenAlexW4282566437

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.