Evidence map›Paper›PMID 29082098›Full record

ArticleBiomedical optics express2017

Automated segmentation and quantification of airway mucus with endobronchial optical coherence tomography.

David C Adams, Hamid Pahlevaninezhad, Margit V Szabari, Josalyn L Cho, Daniel L Hamilos, Mehmet Kesimer, Richard C Boucher, Andrew D Luster, Benjamin D Medoff, Melissa J Suter

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Asthma endotypes and theratypes.Chinese medical journal pulmonary and critical care medicine · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Distinguishing Tumor from Associated Fibrosis to Increase Diagnostic Biopsy Yield with Polarization-Sensitive Optical Coherence Tomography.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
    Article
  9. Article
  10. Article
  11. Article
  12. 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

10 authors at 2 institutions in 1 country.

David C AdamsDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Hamid PahlevaninezhadDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Margit V SzabariDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Josalyn L ChoDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Daniel L HamilosCenter for Immunology and Inflammatory Diseases, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Mehmet KesimerMarsico Lung Institute, University of North Carolina, Chapel Hill, NC, 27599, USA.
Richard C BoucherMarsico Lung Institute, University of North Carolina, Chapel Hill, NC, 27599, USA.
Andrew D LusterCenter for Immunology and Inflammatory Diseases, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Benjamin D MedoffDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Melissa J SuterDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Harvard University · USLung Institute · US

Funding

Phenotyping Asthma for Bronchial Thermoplasty: Airway Smooth Muscle Structure and FunctionR01HL133664 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI SUTER, MELISSA J · 2017 to 2021
$3.7M
Increasing the diagnostic yield of low-risk bronchial biopsy in the evaluation ofR01CA167827 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BOUMA, BRETT E, SUTER, MELISSA J · 2013 to 2017
$2.7M
NCI NIH HHS R01 CA167827NHLBI NIH HHS R01 HL133664
6 · The paper itself

Abstract

We propose a novel suite of algorithms for automatically segmenting the airway lumen and mucus in endobronchial optical coherence tomography (OCT) data sets, as well as a novel approach for quantifying the contents of the mucus. Mucus and lumen were segmented using a robust, multi-stage algorithm that requires only minimal input regarding sheath geometry. The algorithm performance was highly accurate in a wide range of airway and noise conditions. Mucus was classified using mean backscattering intensity and grey level co-occurrence matrix (GLCM) statistics. We evaluated our techniques in vivo in asthmatic and non-asthmatic volunteers.

Indexed as

(100.6950) Tomographic image processing(170.1610) Clinical applications(170.2150) Endoscopic imaging(170.4500) Optical coherence tomography

Identifiers

PMID29082098
PMCPMC5654813
OpenAlexW2756528076

What OpenQuestion holds

Textmetadata
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.