Evidence map›Paper›PMID 35666015›Full record

ArticleJournal of biophotonics2022

Monitoring of irrigated lesion formation with single fiber based multispectral system using machine learning.

Soo Young Park, Rajinder P Singh-Moon, Haiqiu Yang, Christine P Hendon

Open access · greenAbstract read
In one paragraph

Article in Journal of biophotonics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

4 authors at 1 institution in 1 country.

Soo Young ParkDepartment of Electrical Engineering, Columbia University, New York, New York, USA.
Rajinder P Singh-MoonDepartment of Electrical Engineering, Columbia University, New York, New York, USA.
Haiqiu YangDepartment of Electrical Engineering, Columbia University, New York, New York, USA.
Christine P HendonDepartment of Electrical Engineering, Columbia University, New York, New York, USA.ORCID 0000-0001-7318-1517
Columbia University · US

Funding

High resolution imaging of the myocardiumDP2HL127776 · NHLBI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI HENDON, CHRISTINE P · 2014 to 2019
$2.9M
Optically guided catheter ablation of atrial fibrillationR01HL149369 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI HENDON, CHRISTINE P, LAURITA, KENNETH · 2019 to 2022
$2.8M
Division of Chemical, Bioengineering, Environmental, and Transport Systems 1454365National Science FoundationNHLBI NIH HHS DP2 HL127776NHLBI NIH HHS R01 HL149369
6 · The paper itself

Abstract

In radiofrequency ablation (RFA) treatment of cardiac arrhythmias, intraprocedural assessment of treatment efficacy relies on indirect measures of adequate tissue destruction. Direct sensing of diffuse reflectance spectral changes at the ablation site using optically integrated RFA catheters has been shown to enable accurate prediction of lesion dimensions, ex vivo. Challenges of optical guidance can be due to obtaining reliable measurements under various catheter-tissue contact orientations. In this work, addressed this limitation by assessing the feasibility of monitoring lesion progression using single-fiber reflectance spectroscopy (SFRS). A total of 110 endocardial lesions of various sizes were generated in freshly excised swine right ventricular tissue using a custom-built, irrigated SFRS-RFA catheter. Models were developed for assessing catheter-tissue contact, the presence of nontransmural or transmural lesions and lesion depth percentage. These results support the use of SFRS-based catheters for irrigated lesion assessment and motivate further exploration of using multi-SFRS catheters for omnidirectionality.

Indexed as

Catheter AblationAnimalsEquipment DesignHeart VentriclesMachine LearningSwinecardiac ablation therapymachine learningnear infrared spectroscopyradio frequency ablation

Identifiers

PMID35666015
PMCPMC9452461
OpenAlexW4282027506

What Socratic 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 Socratic graph.