Evidence map›Paper›PMID 30334787›Full record

ArticleIEEE transactions on medical imaging2019

Geometric Validation of Continuous, Finely Sampled 3-D Reconstructions From aOCT and CT in Upper Airway Models.

Hillel B Price, Julia S Kimbell, Ruofei Bu, Amy L Oldenburg

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on medical imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Journal of biomedical optics · 2025
    Article
  3. Article
  4. Article
  5. 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.

Hillel B Price
Julia S Kimbell
Ruofei Bu
Amy L Oldenburg
University of North Carolina at Chapel Hill · US

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Predictive Modeling for Treatment of Upper Airway Obstruction in Young ChildrenR01HL105241 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVIS, STEPHANIE DUGGINS, SUPERFINE, RICHARD · 2010 to 2013
$3.5M
Anatomic optical coherence tomography for quantitative bronchoscopyR01HL123557 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI OLDENBURG, AMY L, ZDANSKI, CARLTON J · 2015 to 2017
$1.9M
NHLBI NIH HHS R01 HL105241NHLBI NIH HHS R01 HL123557NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

Identification and treatment of obstructive airway disorders (OADs) are greatly aided by imaging of the geometry of the airway lumen. Anatomical optical coherence tomography (aOCT) is a promising high-speed and minimally invasive endoscopic imaging modality for providing micrometer-resolution scans of the upper airway. Resistance to airflow in OADs is directly caused by the reduction in luminal cross-sectional area (CSA). It is hypothesized that aOCT can produce airway CSA measurements as accurate as that from computed tomography (CT). Scans of machine hollowed cylindrical tubes were used to develop methods for segmentation and measurement of airway lumen in CT and aOCT. Simulated scans of virtual cones were used to validate 3-D resampling and reconstruction methods in aOCT. Then, measurements of two segments of a 3-D printed pediatric airway phantom from aOCT and CT independently were compared to ground truth CSA. In continuous unobstructed regions, the mean CSA difference for each phantom segment was 2.2 ± 3.5 and 1.5 ± 5.3 mm

Indexed as

EndoscopyHumansImaging, Three-DimensionalPatient-Specific ModelingPhantoms, ImagingPrinting, Three-DimensionalRespiratory SystemTomography, Optical CoherenceTomography, X-Ray Computed

Identifiers

PMID30334787
PMCPMC6476567
OpenAlexW2896411058

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.