Evidence map›Paper›PMID 35973012›Full record

ArticleCirculation. Cardiovascular imaging2022

Prediction of Cardiac Resynchronization Therapy Response Using a Lead Placement Score Derived From 4-Dimensional Computed Tomography.

Ashish Manohar, Gabrielle M Colvert, James Yang, Zhennong Chen, Maria J Ledesma-Carbayo, Mads Brix Kronborg, Anders Sommer, Bjarne L Nørgaard, Jens Cosedis Nielsen, Elliot R McVeigh

Open access · bronzeAbstract read
In one paragraph

Article in Circulation. Cardiovascular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Cine cardiac magnetic resonance segmentation using temporal-spatial adaptation of prompt-enabled segment-anything-model: a feasibility study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    Article
  7. Article
  8. Review
  9. Article
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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

10 authors at 4 institutions in 4 countries.

Ashish ManoharDepartment of Mechanical and Aerospace Engineering (A.M.), University of California San Diego, La Jolla.ORCID 0000-0001-5239-6260
Gabrielle M ColvertDepartment of Bioengineering (G.M.C., J.Y., Z.C., E.R.M.), University of California San Diego, La Jolla.
James YangDepartment of Bioengineering (G.M.C., J.Y., Z.C., E.R.M.), University of California San Diego, La Jolla.ORCID 0000-0001-7832-277X
Zhennong ChenDepartment of Bioengineering (G.M.C., J.Y., Z.C., E.R.M.), University of California San Diego, La Jolla.ORCID 0000-0001-6133-8716
Maria J Ledesma-CarbayoBiomedical Image Technologies Laboratory, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain (M.J.L.-C.).
Mads Brix KronborgDepartment of Cardiology (M.B.K., B.L.N., J.C.N.), Aarhus University Hospital, Denmark.ORCID 0000-0003-1672-222X
Anders SommerDepartment of Clinical Medicine (J.C.N.), Aarhus University Hospital, Denmark.
Bjarne L NørgaardDepartment of Cardiology (M.B.K., B.L.N., J.C.N.), Aarhus University Hospital, Denmark.
Jens Cosedis NielsenDepartment of Cardiology (M.B.K., B.L.N., J.C.N.), Aarhus University Hospital, Denmark.ORCID 0000-0001-9414-1653
Elliot R McVeighDepartment of Bioengineering (G.M.C., J.Y., Z.C., E.R.M.), University of California San Diego, La Jolla.ORCID 0000-0003-1684-2432
Aarhus University Hospital · DKLa Jolla Bioengineering Institute · USUniversity of California San Diego · USUnidad de Investigación en cuidados y servicios de salud (Investén-isciii) · ES

Funding

Integrative Bioengineering of Heart, Vessels, and BloodT32HL105373 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHIEN, SHU, INTAGLIETTA, MARCOS · 2010 to 2019
$3.6M
True 4DCT for Quantifying LV Dyssynchrony and Function for Targeting LV Lead Location in CRTR01HL144678 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCVEIGH, ELLIOT R · 2019 to 2022
$3.3M
Patient-specific thrombosis risk in atrial fibrillation by 4D CT imaging of atrial kinetics combined with computational fluid dynamicsR01HL160024 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEL ALAMO, JUAN CARLOS, KAHN, ANDREW · 2021 to 2024
$2.7M
Comprehensive analysis of endocardial strain using 4DCT dataF31HL151183 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI COLVERT, GABRIELLE M. · 2020 to 2021
$55k
NHLBI NIH HHS F31 HL151183NHLBI NIH HHS R01 HL144678NHLBI NIH HHS R01 HL160024NHLBI NIH HHS T32 HL105373
6 · The paper itself

Abstract

backgroundCardiac resynchronization therapy (CRT) is an effective treatment for patients with heart failure; however, 30% of patients do not respond to the treatment. We sought to derive patient-specific left ventricle maps of lead placement scores (LPS) that highlight target pacing lead sites for achieving a higher probability of CRT response.

methodsEighty-two subjects recruited for the ImagingCRT trial (Empiric Versus Imaging Guided Left Ventricular Lead Placement in Cardiac Resynchronization Therapy) were retrospectively analyzed. All 82 subjects had 2 contrast-enhanced full cardiac cycle 4-dimensional computed tomography scans: a baseline and a 6-month follow-up scan. CRT response was defined as a reduction in computed tomography-derived end-systolic volume ≥15%. Eight left ventricle features derived from the baseline scans were used to train a support vector machine via a bagging approach. An LPS map over the left ventricle was created for each subject as a linear combination of the support vector machine feature weights and the subject's own feature vector. Performance for distinguishing responders was performed on the original 82 subjects.

resultsFifty-two (63%) subjects were responders. Subjects with an LPS≤Q

conclusionsAn LPS map was defined using 4-dimensional computed tomography-derived features of left ventricular mechanics. The LPS correlated with CRT response, reclassifying 25% of the subjects into low probability of response, 25% into high probability of response, and 50% unchanged. These encouraging results highlight the potential utility of 4-dimensional computed tomography in guiding patient selection for CRT. The present findings need verification in larger independent data sets and prospective trials.

Indexed as

Cardiac Resynchronization TherapyHeart FailureClinical Trials as TopicHumansLipopolysaccharidesProspective StudiesRetrospective StudiesTomographyTreatment OutcomeVentricular Function, LeftLipopolysaccharidescardiac imaging techniquescardiac resynchronization therapyfour-dimensional computed tomographyheart failureheart function testssupport vector machineventricular function

Identifiers

PMID35973012
PMCPMC9558060
OpenAlexW4292004105

What OpenQuestion holds

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LicenceTDM
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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.