Evidence map›Paper›PMID 32385529›Full record

ArticleClinical research in cardiology : official journal of the German Cardiac Society2021

Noncalcified plaque burden quantified from coronary computed tomography angiography improves prediction of side branch occlusion after main vessel stenting in bifurcation lesions: results from the CT-PRECISION registry.

Kajetan Grodecki, Sebastien Cadet, Adam D Staruch, Anna M Michalowska, Cezary Kepka, Rafal Wolny, Jerzy Pregowski, Mariusz Kruk, Mariusz Debski, Artur Debski and 5 more

Registry-linked trialAbstract read
In one paragraph

Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03709836 (Computed Tomography Angiography Prediction Score for Side Branch Occlusion in Coronary Bifurcation Intervention), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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.

NCT03709836 completednot on this map

Computed Tomography Angiography Prediction Score for Side Branch Occlusion in Coronary Bifurcation Intervention (CT-PRECISION)

TypeobservationalSponsorNational Institute of Cardiology, Warsaw, PolandRan2018 to 2019Enrolled363ConditionsCoronary Artery Disease
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Advanced Cardiac Imaging in the Assessment of Aortic Stenosis.Journal of cardiovascular development and disease · 2023
    Review
  10. Article
  11. Article
  12. 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

15 authors.

Kajetan GrodeckiDepartment of Interventional Cardiology and Angiology, National Institute of Cardiology, Alpejska 42, 04-628, Warsaw, Poland.
Sebastien CadetBiomedical Imaging Research Institute and Artificial Intelligence in Medicine Program, Departments of Biomedical Sciences and Medicine Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Adam D StaruchDepartment of Interventional Cardiology and Angiology, National Institute of Cardiology, Alpejska 42, 04-628, Warsaw, Poland.
Anna M MichalowskaDepartment of Interventional Cardiology and Angiology, National Institute of Cardiology, Alpejska 42, 04-628, Warsaw, Poland.
Cezary KepkaDepartment of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland.
Rafal WolnyDepartment of Interventional Cardiology and Angiology, National Institute of Cardiology, Alpejska 42, 04-628, Warsaw, Poland.
Jerzy PregowskiDepartment of Interventional Cardiology and Angiology, National Institute of Cardiology, Alpejska 42, 04-628, Warsaw, Poland.
Mariusz KrukDepartment of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland.
Mariusz DebskiDepartment of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland.
Artur DebskiDepartment of Interventional Cardiology and Angiology, National Institute of Cardiology, Alpejska 42, 04-628, Warsaw, Poland.
Ilona MichalowskaDepartment of Radiology, National Institute of Cardiology, Warsaw, Poland.
Piotr J SlomkaBiomedical Imaging Research Institute and Artificial Intelligence in Medicine Program, Departments of Biomedical Sciences and Medicine Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Adam WitkowskiDepartment of Interventional Cardiology and Angiology, National Institute of Cardiology, Alpejska 42, 04-628, Warsaw, Poland.
Damini DeyBiomedical Imaging Research Institute and Artificial Intelligence in Medicine Program, Departments of Biomedical Sciences and Medicine Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Maksymilian P OpolskiDepartment of Interventional Cardiology and Angiology, National Institute of Cardiology, Alpejska 42, 04-628, Warsaw, Poland. mopolski@ikard.pl.

Funding

National Institute of Cardiology, Warsaw, Poland 2.43/III/16
6 · The paper itself

Abstract

objectivesTo assess the incremental value of quantitative plaque features measured from computed tomography angiography (CTA) for predicting side branch (SB) occlusion in coronary bifurcation intervention.

methodsWe included 340 patients with 377 bifurcation lesions in the post hoc analysis of the CT-PRECISION registry. Each bifurcation was divided into three segments: the proximal main vessel (MV), the distal MV, and the SB. Segments with evidence of coronary plaque were analyzed using semi-automated software allowing for quantitative analysis of coronary plaque morphology and stenosis. Coronary plaque measurements included calcified and noncalcified plaque volumes, and corresponding burdens (respective plaque volumes × 100%/vessel volume), remodeling index, and stenosis.

resultsSB occlusion occurred in 28 of 377 bifurcation lesions (7.5%). The presence of visually identified plaque in the SB segment, but not in the proximal and distal MV segments, was the only qualitative parameter that predicted SB occlusion with an area under the curve (AUC) of 0.792. Among quantitative plaque parameters calculated for the SB segment, the addition of noncalcified plaque burden (AUC 0.840, p = 0.003) and low-density plaque burden (AUC 0.836, p = 0.012) yielded significant improvements in predicting SB occlusion. Using receiver operating characteristic curve analysis, optimal cut-offs for noncalcified plaque burden and low-density plaque burden were > 33.6% (86% sensitivity and 78% specificity) and > 0.9% (89% sensitivity and 73% specificity), respectively.

conclusionsCTA-derived noncalcified plaque burden, when added to the visually identified SB plaque, significantly improves the prediction of SB occlusion in coronary bifurcation intervention.

trial registrationClinicalTrials.gov Identifier: NCT03709836 registered on October 17, 2018.

Indexed as

Percutaneous Coronary InterventionStentsComputed Tomography AngiographyCoronary AngiographyCoronary OcclusionCoronary VesselsFemaleFollow-Up StudiesHumansMaleMiddle AgedPlaque, AtheroscleroticRegistriesRetrospective StudiesCoronary artery diseaseCoronary bifurcationCoronary computed tomography angiographyPercutaneous coronary interventionPlaque burden

Identifiers

PMID32385529
PMCPMC7806530

What OpenQuestion 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 OpenQuestion graph.