Evidence map›Paper›PMID 30681167›Full record

ArticleLasers in surgery and medicine2019

Computational analysis of six optical coherence tomography systems for vocal fold imaging: A comparison study.

Tiffany T Pham, Lily Chen, Andrew E Heidari, Jason J Chen, Alisa Zhukhovitskaya, Yan Li, Urja Patel, Zhongping Chen, Brian J F Wong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Lasers in surgery and medicine, 2019. 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
–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.

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. 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

9 authors.

Tiffany T PhamBeckman Laser Institute & Medical Clinic, University of California-Irvine, Irvine, California, 92612.ORCID https://orcid.org/0000-0002-0308-4540
Lily ChenBeckman Laser Institute & Medical Clinic, University of California-Irvine, Irvine, California, 92612.
Andrew E HeidariBeckman Laser Institute & Medical Clinic, University of California-Irvine, Irvine, California, 92612.
Jason J ChenBeckman Laser Institute & Medical Clinic, University of California-Irvine, Irvine, California, 92612.
Alisa ZhukhovitskayaBeckman Laser Institute & Medical Clinic, University of California-Irvine, Irvine, California, 92612.
Yan LiBeckman Laser Institute & Medical Clinic, University of California-Irvine, Irvine, California, 92612.ORCID https://orcid.org/0000-0002-3468-9235
Urja PatelBeckman Laser Institute & Medical Clinic, University of California-Irvine, Irvine, California, 92612.
Zhongping ChenBeckman Laser Institute & Medical Clinic, University of California-Irvine, Irvine, California, 92612.
Brian J F WongBeckman Laser Institute & Medical Clinic, University of California-Irvine, Irvine, California, 92612.

Funding

Virtual Photonocs TechnologiesP41EB015890 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI DURKIN, ANTHONY · 2012 to 2017
$7.0M
Phase resolved ARF optical coherence elastography for intravascular imagingR01HL125084 · NHLBI · UNIVERSITY OF CALIFORNIA-IRVINE · PI CHEN, ZHONGPING, ZHOU, QIFA · 2014 to 2023
$5.6M
Modeling the Pediatric Upper Airway using A-OCT and Computational Fluid DynamicsR01HL105215 · NHLBI · UNIVERSITY OF CALIFORNIA-IRVINE · PI CHEN, ZHONGPING, ELGHOBASHI, SAID E. · 2010 to 2013
$3.7M
Diagnosis of Subglottic Stenosis and Edema in Neonates Using OCTR01HL103764 · NHLBI · UNIVERSITY OF CALIFORNIA-IRVINE · PI WONG, BRIAN · 2010 to 2014
$3.1M
Combined OCT/US/PAT system for intravascular ImagingR01HL127271 · NHLBI · UNIVERSITY OF CALIFORNIA-IRVINE · PI CHEN, ZHONGPING, PATEL, PRANAV · 2015 to 2018
$2.7M
Office based real-time high speed 3D-OCT system for diagnosis of early laryngealR44CA177064 · NCI · OCT MEDICAL IMAGING, INC. · PI RAMALINGAM, TIRUNELVELI · 2013 to 2014
$1.9M
Office based Real-time high Speed 3-D OCT system for Diagnosis of EarlyLaryngealR43RR026184 · NCRR · OCT MEDICAL IMAGING, INC. · PI RAMALINGAM, TIRUNELVELI · 2010 to 2011
$693k
3D Real-time imaging system for Subglottic Stenosis and Edema in NeonatesR43HD071701 · NICHD · OCT MEDICAL IMAGING, INC. · PI RAMALINGAM, TIRUNELVELI · 2012 to 2013
$632k
National Institutes of Health P41EB015890National Institutes of Health R01HL103764National Institutes of Health R01HL105215National Institutes of Health R01HL125084National Institutes of Health R01HL127271National Institutes of Health R43HD071701National Institutes of Health R43RR026184National Institutes of Health R44CA177064NCI NIH HHS R44 CA177064NCRR NIH HHS R43 RR026184NHLBI NIH HHS R01 HL103764NHLBI NIH HHS R01 HL105215NHLBI NIH HHS R01 HL125084NHLBI NIH HHS R01 HL127271NIBIB NIH HHS P41 EB015890NICHD NIH HHS R43 HD071701
6 · The paper itself

Abstract

objectivesThere have been many advancements in laryngeal imaging using optical coherence tomography (OCT), with varying system design and probes for use in research, office, and operating room settings. We evaluated the performance of six distinct OCT systems in imaging porcine vocal folds (cords) using computational image processing and segmentation.

methodsPorcine vocal folds were scanned using six OCT systems. Imaging system and probe performance were quantitatively assessed for signal penetration, layer differentiation, and epithelium (EP) measurement. Fitted exponential decay curves with corresponding α constant and intensity thresholding segmentation were utilized to quantify the aforementioned parameters.

resultsThe smallest average α constant and deepest signal penetration was of the SS-OCT 1700 nm 90 kHz microscope system (α = -1.74), followed by the SS-OCT 1310 nm 200 kHz VCSEL microscope system (α = -1.99), and SS-OCT 1310 nm 50 kHz rigid forward viewing endoscope system (α = -2.23). The EP was not readily visualized for three out of six systems, but was detected using automated segmentation. Average EP thickness (mean ± SD) was calculated as 55.79 ± 31.86 μm which agrees favorably with previous literature.

conclusionComparisons of OCT systems are challenging, as they encompass different probe design, optical path, and lasers, depending on application. Practical evaluation of different systems using computer based quantitative image processing and segmentation revealed basic, constructive information, such as EP measurements. To further validate the comparisons of system performance with clinical usability, in vivo human laryngeal imaging will be conducted. Further development of automated image processing and segmentation can be useful in rapid analysis of information. Lasers Surg. Med. 51:412-422, 2019. © 2019 Wiley Periodicals, Inc.

Indexed as

laryngeal imaginglarynxoptical coherence tomographyporcine vocal foldssegmentationsystem comparisonstrue vocal foldsvocal cordsvocal folds

Identifiers

PMID30681167
PMCPMC6658351

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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.