Evidence map›Paper›PMID 38573127›Full record

Observational studyRadiology. Cardiothoracic imaging2024

Selective Use of CT Fractional Flow at a Large Academic Medical Center: Insights from Clinical Implementation after 1 Year of Practice.

Mangun K Randhawa, Angelo K Takigami, Vikas Thondapu, Praveen G Ranganath, Eric Zhang, Anushri Parakh, Reece J Goiffon, Vinit Baliyan, Borek Foldyna, Michael T Lu and 4 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Radiology. Cardiothoracic imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 22% 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.

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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Radiology. Cardiothoracic imaging · 2025
    Review
  3. Review
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

14 authors at 1 institution in 1 country.

Mangun K Randhawa *From the Department of Radiology, Division of Cardiovascular Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295, Boston, MA 02114.ORCID 0000-0003-2629-8717
Angelo K Takigami *From the Department of Radiology, Division of Cardiovascular Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295, Boston, MA 02114.ORCID 0000-0002-2605-1362
Vikas ThondapuFrom the Department of Radiology, Division of Cardiovascular Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295, Boston, MA 02114.ORCID 0000-0002-3291-2632
Praveen G RanganathFrom the Department of Radiology, Division of Cardiovascular Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295, Boston, MA 02114.ORCID 0000-0001-9360-1806
Eric ZhangFrom the Department of Radiology, Division of Cardiovascular Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295, Boston, MA 02114.ORCID 0000-0002-9271-9156
Anushri ParakhFrom the Department of Radiology, Division of Cardiovascular Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295, Boston, MA 02114.
Reece J GoiffonFrom the Department of Radiology, Division of Cardiovascular Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295, Boston, MA 02114.
Vinit BaliyanFrom the Department of Radiology, Division of Cardiovascular Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295, Boston, MA 02114.
Borek FoldynaFrom the Department of Radiology, Division of Cardiovascular Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295, Boston, MA 02114.ORCID 0000-0002-2466-4827
Michael T LuFrom the Department of Radiology, Division of Cardiovascular Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295, Boston, MA 02114.ORCID 0000-0003-4696-9610
Albree Tower-RaderFrom the Department of Radiology, Division of Cardiovascular Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295, Boston, MA 02114.ORCID 0000-0001-7242-0774
Nandini M MeyersohnFrom the Department of Radiology, Division of Cardiovascular Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295, Boston, MA 02114.ORCID 0000-0001-9826-1097
Sandeep HedgireFrom the Department of Radiology, Division of Cardiovascular Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295, Boston, MA 02114.ORCID 0000-0001-8527-9386
Brian B GhoshhajraFrom the Department of Radiology, Division of Cardiovascular Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295, Boston, MA 02114.ORCID 0000-0002-3865-3432
Massachusetts General Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose This special report outlines a retrospective observational study of CT fractional flow reserve (CT-FFR) analysis using dual-source coronary CT angiography (CTA) scans performed without heart rate control and its impact on clinical outcomes. Materials and Methods All patients who underwent clinically indicated coronary CTA between August 2020 and August 2021 were included in this retrospective observational study. Scans were performed in the late systolic to early diastolic period without heart rate control and analyzed at the interpreting physician's discretion. Demographics, coronary CTA features, and rates of invasive coronary angiography (ICA), percutaneous coronary intervention (PCI), myocardial infarction, and all-cause death at 3 months were assessed by chart review. Results During the study period, 3098 patients underwent coronary CTA, of whom 113 with coronary bypass grafting were excluded. Of the remaining 2985 patients, 292 (9.7%) were referred for CT-FFR analysis. Two studies (0.7%) were rejected from CT-FFR analysis, and six (2.1%) analyses did not evaluate the lesion of concern. A total of 160 patients (56.3%) had CT-FFR greater than 0.80. Among patients with significant stenosis at coronary CTA, patients who underwent CT-FFR analysis presented with lower rates of ICA (74.5% vs 25.5%,

Indexed as

Fractional Flow Reserve, MyocardialPercutaneous Coronary InterventionAcademic Medical CentersConstriction, PathologicHumansTomography, X-Ray ComputedAngiographyArteriosclerosisCardiacCTCT-AngiographyFractional Flow ReserveHeart

Identifiers

PMID38573127
PMCPMC11056747
OpenAlexW4393933114

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.