Evidence map›Paper›PMID 37798406›Full record

ArticleEuropean radiology2024

Impact of coronary CT image quality on the accuracy of the FFR

Daniele Andreini, Marta Belmonte, Martin Penicka, Lieven Van Hoe, Niya Mileva, Pasquale Paolisso, Sakura Nagumo, Bjarne L Nørgaard, Brian Ko, Hiromasa Otake and 10 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. 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

20 authors.

Daniele AndreiniClinical Cardiology and Cardiovascular Imaging Unit, Galeazzi-Sant'Ambrogio Hospital, IRCCS, Via Cristina Belgioioso 173, 20157, Milan, Italy. daniele.andreini@unimi.it.ORCID http://orcid.org/0000-0002-9777-8104
Marta BelmonteCardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
Martin PenickaCardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
Lieven Van HoeCardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
Niya MilevaCardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
Pasquale PaolissoCardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
Sakura NagumoCardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
Bjarne L NørgaardDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
Brian KoMonash Cardiovascular Research Centre, Monash University and Monash Heart, Monash Health, Clayton, VIC, Australia.
Hiromasa OtakeDivision of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
Bon-Kwon KooDepartment of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Korea.
Jesper Møller JensenDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
Takuya MizukamiCardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
Daniel MunhozCardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
Adam UpdegroveHeartFlow Inc, Redwood City, USA.
Charles TaylorHeartFlow Inc, Redwood City, USA.
Jonathon LeipsicDepartment of Medicine and Radiology, University of British Columbia, Vancouver, BC, Canada.
Jeroen SonckCardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
Bernard De BruyneCardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
Carlos ColletCardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the accuracy of a virtual stenting tool based on coronary CT angiography (CCTA) and fractional flow reserve (FFR) derived from CCTA (FFR MATERIALS AND

methodsProspective, multicenter, single-arm study of patients with chronic coronary syndromes and lesions with FFR ≤ 0.80. All patients underwent CCTA performed with recent-generation scanners. CCTA image quality was adjudicated using the four-point Likert scale at a per-vessel level by an independent committee blinded to the FFR

resultsOverall, 120 patients (123 vessels) were included. Invasive post-PCI FFR was 0.88 ± 0.06 and Planner FFR

conclusionThe FFR CLINICAL RELEVANCE STATEMENT: Being accurate in predicting post-PCI FFR across a wide spectrum of CT image quality, the FFR KEY POINTS: • The fractional flow reserve derived from coronary CT angiography (FFR

Indexed as

Coronary Artery DiseaseCoronary StenosisFractional Flow Reserve, MyocardialPercutaneous Coronary InterventionComputed Tomography AngiographyCoronary AngiographyHumansPredictive Value of TestsProspective StudiesTomography, X-Ray ComputedArtifactsCoronary CT angiographyFFRCTImage qualityPercutaneous Coronary Intervention Planner

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.