Evidence map›Paper›PMID 30058239›Full record

ArticleJournal of biophotonics2019

Real-time optical spectroscopic monitoring of nonirrigated lesion progression within atrial and ventricular tissues.

Rajinder P Singh-Moon, Xinwen Yao, Vivek Iyer, Charles Marboe, William Whang, Christine P Hendon

Abstract read
In one paragraph

Article in Journal of biophotonics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. 2019 HRS/EHRA/APHRS/LAHRS expert consensus statement on catheter ablation of ventricular arrhythmias.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2020
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  13. 2019 HRS/EHRA/APHRS/LAHRS expert consensus statement on catheter ablation of ventricular arrhythmias.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 · 2019
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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

6 authors at 2 institutions in 1 country.

Rajinder P Singh-MoonDepartment of Electrical Engineering, Columbia University, New York, NY.ORCID 0000-0001-6098-9322
Xinwen YaoDepartment of Electrical Engineering, Columbia University, New York, NY.ORCID 0000-0001-8813-4676
Vivek IyerDepartment of Medicine, Cardiology Division, Columbia University Medical Center, New York, NY.
Charles MarboeDepartment of Pathology and Cell Biology, Columbia University Medical Center, New York, NY.
William WhangDepartment of Medicine, Cardiology Division, Columbia University Medical Center, New York, NY.
Christine P HendonDepartment of Electrical Engineering, Columbia University, New York, NY.ORCID 0000-0001-7318-1517
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
Directorate for Engineering 1454365NHLBI NIH HHS 1DP2HL127776-01NHLBI NIH HHS DP2 HL127776
6 · The paper itself

Abstract

Despite considerable advances in guidance of radiofrequency ablation (RFA) therapy for the treatment of cardiac arrhythmias, success rates have been hampered by a lack of tools for precise intraoperative evaluation of lesion extent. Near-infrared spectroscopic (NIRS) techniques are sensitive to tissue structural and biomolecular properties, characteristics that are directly altered by radiofrequency (RF) treatment. In this work, a combined NIRS-RFA catheter is developed for real-time monitoring of tissue reflectance during RF energy delivery. An algorithm is proposed for processing NIR spectra to approximate nonirrigated lesion depth in both atrial and ventricular tissues. The probe optical geometry was designed to bias measurement influence toward absorption enabling enhanced sensitivity to changes in tissue composition. A set of parameters termed "lesion optical indices" are defined encapsulating spectral differences between ablated and unablated tissue. Utilizing these features, a model for real-time tissue spectra classification and lesion size estimation is presented. Experimental validation conducted within freshly excised porcine cardiac specimens showed strong concordance between algorithm estimates and post-hoc tissue assessment.

Indexed as

Disease ProgressionSpectrophotometry, InfraredAnimalsAtrial FibrillationHeart AtriaHeart VentriclesSwineTime Factorsarrhythmiaatrial fibrillationdiffuse reflectancelesionnear-infrared spectroscopyradiofrequency ablation

Identifiers

PMID30058239
PMCPMC6353711
OpenAlexW2887904472

What OpenQuestion holds

Textmetadata
LicenceTDM
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.