ArticleJournal of biomedical optics2019
Dynamic programming and automated segmentation of optical coherence tomography images of the neonatal subglottis: enabling efficient diagnostics to manage subglottic stenosis.
Article in Journal of biomedical optics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Feasibility of Assessing the Abnormal Pediatric Airway Using Rotational Optical Coherence Tomography: The OCT Air Study.CHEST pulmonary · 2025Article
- A review on diagnostic assessments of tracheal stenosis.Biomedical engineering online · 2025Review
- Optical coherence tomography to identify upper airway obstruction sites in an apneic patient.Biophotonics discovery · 2024Article
- Long-range optical coherence tomography of pediatric airway during drug induced sleep endoscopy: A preliminary report.International journal of pediatric otorhinolaryngology · 2024Article
- Automatic 3D reconstruction of an anatomically correct upper airway from endoscopic long range OCT images.Biomedical optics express · 2023Article
- Effects of experimental bleaching gels containing co-doped titanium dioxide and niobium pentoxide combined with violet light.Clinical oral investigations · 2023Article
- Towards in vivo characterization of thyroid nodules suspicious for malignancy using multispectral optoacoustic tomography.European journal of nuclear medicine and molecular imaging · 2023Article
- Evaluation of Tracheal Stenosis in Rabbits Using Multispectral Optoacoustic Tomography.Frontiers in bioengineering and biotechnology · 2022Article
- Automatic correction of the initial rotation angle error improves 3D reconstruction in endoscopic airway optical coherence tomography.Biomedical optics express · 2021Article
- Quantitative Evaluation of Subglottic Stenosis Using Ultrashort Echo Time MRI in a Rabbit Model.The Laryngoscope · 2021Article
- Quantitative evaluation of the human vocal fold extracellular matrix using multiphoton microscopy and optical coherence tomography.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 5 institutions in 3 countries.
Funding
Abstract
Subglottic stenosis (SGS) is a challenging disease to diagnose in neonates. Long-range optical coherence tomography (OCT) is an optical imaging modality that has been described to image the subglottis in intubated neonates. A major challenge associated with OCT imaging is the lack of an automated method for image analysis and micrometry of large volumes of data that are acquired with each airway scan (1 to 2 Gb). We developed a tissue segmentation algorithm that identifies, measures, and conducts image analysis on tissue layers within the mucosa and submucosa and compared these automated tissue measurements with manual tracings. We noted small but statistically significant differences in thickness measurements of the mucosa and submucosa layers in the larynx (p < 0.001), subglottis (p = 0.015), and trachea (p = 0.012). The automated algorithm was also shown to be over 8 times faster than the manual approach. Moderate Pearson correlations were found between different tissue texture parameters and the patient’s gestational age at birth, age in days, duration of intubation, and differences with age (mean age 17 days). Automated OCT data analysis is necessary in the diagnosis and monitoring of SGS, as it can provide vital information about the airway in real time and aid clinicians in making management decisions for intubated neonates.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.