Evidence map›Paper›PMID 31281782›Full record

ReviewQuantitative imaging in medicine and surgery2019

Optical coherence tomography imaging of cardiac substrates.

Christine P Hendon, Theresa H Lye, Xinwen Yao, Yu Gan, Charles C Marboe

Open access · diamondAbstract readReview
In one paragraph

Review in Quantitative imaging in medicine and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

17 citing papers in PubMed, 20 citations in OpenAlex.

  1. First-in-human trial of atrial fibrillation ablation using real-time tissue optical assessment to predict pulsed field lesion durability.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Trial
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  6. Camera-on-tip endoscope forBiomedical optics express · 2025
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  10. Review
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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

5 authors at 2 institutions in 1 country.

Christine P HendonColumbia University, New York, NY, USA.
Theresa H LyeColumbia University, New York, NY, USA.
Xinwen YaoColumbia University, New York, NY, USA.
Yu GanColumbia University, New York, NY, USA.
Charles C MarboeColumbia University Medical Center, New York, NY, USA.
Columbia University · USColumbia University Irving Medical Center · US

Funding

High resolution imaging of the myocardiumDP2HL127776 · NHLBI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI HENDON, CHRISTINE P · 2014 to 2019
$2.9M
NHLBI NIH HHS DP2 HL127776
6 · The paper itself

Abstract

Cardiovascular disease is the leading cause of morbidity and mortality in the United States. Knowledge of a patient's heart structure will help to plan procedures, potentially identifying arrhythmia substrates, critical structures to avoid, detect transplant rejection, and reduce ambiguity when interpreting electrograms and functional measurements. Similarly, basic research of numerous cardiac diseases would greatly benefit from structural imaging at cellular scale. For both applications imaging on the scale of a myocyte is needed, which is approximately 100 µm × 10 µm. The use of optical coherence tomography (OCT) as a tool for characterizing cardiac tissue structure and function has been growing in the past two decades. We briefly review OCT principles and highlight important considerations when imaging cardiac muscle. In particular, image penetration, tissue birefringence, and light absorption by blood during

Indexed as

cardiac imagingfiber orientationOptical coherence tomography (OCT)radiofrequency ablation (RFA)

Identifiers

PMID31281782
PMCPMC6571187
OpenAlexW2945947010

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.