Evidence map›Paper›PMID 42519542›Full record

ArticleFrontiers in physiology2026

Developing a non-invasive diagnostic framework for the fractional flow reserve quantification in left coronary arteries: validation with patient cases.

M Fernandes, F P Oliveira, N D Ferreira, D Santos-Ferreira, S Mushtaq, G Pontone, R Ladeiras-Lopes, N Bettencourt, L C Sousa, S Silva and 2 more

Abstract read
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In one paragraph

Article in Frontiers in physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

M FernandesFaculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, Portugal.
F P OliveiraFaculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, Portugal.
N D FerreiraCardiology Department, Unidade Local de Saúde de Gaia e Espinho, R. Conceição Fernandes, Vila Nova de Gaia, Portugal.
D Santos-FerreiraCardiology Department, Unidade Local de Saúde de Gaia e Espinho, R. Conceição Fernandes, Vila Nova de Gaia, Portugal.
S MushtaqDepartment of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
G PontoneDepartment of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
R Ladeiras-LopesUnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, Porto, Portugal.
N BettencourtUnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, Porto, Portugal.
L C SousaFaculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, Portugal.
S SilvaUniversity of Aveiro (UA), Aveiro, Portugal.
M P L ParenteFaculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, Portugal.
S I S PintoFaculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Coronary artery disease (CAD) remains the leading global cause of death. Hemodynamic assessment is typically performed using fractional flow reserve (FFR); however, its invasive nature entails substantial costs and clinical challenges. Non-invasive alternatives are therefore highly desirable. Advances in cardiac imaging, particularly computed tomography (CT), now provide detailed coronary data that can serve as the foundation for computational modeling. This research proposes and validates a tool to numerically predict FFR in patient-specific LCA 3D models segmented from CT scans. Methods: Using CFD in ANSYS Results and discussion: The numerical results showed a remarkable correlation with invasive measurements (R

Indexed as

atherosclerosiscomputer programmingfractional flow reserveleft coronary arterynon-invasive diagnostics

Identifiers

PMID42519542
PMCPMC13381190

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.