Evidence map›Paper›PMID 31252896›Full record

ArticleOptics express2019

Localized compliance measurement of the airway wall using anatomic optical coherence elastography.

Ruofei Bu, Santosh Balakrishnan, Hillel Price, Carlton Zdanski, Sorin Mitran, Amy L Oldenburg

Open access · goldAbstract read
In one paragraph

Article in Optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Phantoms for use in optical coherence elastography.Journal of biomedical optics · 2026
    Review
  2. Article
  3. Article
  4. Journal of biomedical optics · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Intravascular optical coherence elastography.Biomedical optics express · 2022
    Article
  9. Article
  10. Life (Basel, Switzerland) · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. 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

6 authors at 1 institution in 1 country.

Ruofei Bu
Santosh Balakrishnan
Hillel Price
Carlton Zdanski
Sorin Mitran
Amy L Oldenburg
University of North Carolina at Chapel Hill · US

Funding

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
Imaging nanophysical properties of actively transporting bronchial mucusR21HL130901 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI OLDENBURG, AMY L · 2016 to 2017
$418k
Development of a method for in situ nanorheology of human airway mucusR21HL111968 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI OLDENBURG, AMY L · 2012 to 2013
$392k
NHLBI NIH HHS R01 HL123557NHLBI NIH HHS R21 HL111968NHLBI NIH HHS R21 HL130901
6 · The paper itself

Abstract

We describe an elastographic method to circumferentially-resolve airway wall compliance using endoscopic, anatomic optical coherence tomography (aOCT) combined with an intraluminal pressure catheter. The method was first demonstrated on notched silicone phantoms of known elastic modulus under respiratory ventilation, where localized compliance measurements were validated against those predicted by finite element modeling. Then, ex vivo porcine tracheas were scanned, and the pattern of compliance was found to be consistent with histological identification of the locations of (stiff) cartilage and (soft) muscle. This quantitative method may aid in diagnosis and monitoring of collapsible airway wall tissues in obstructive respiratory disorders.

Identifiers

PMID31252896
PMCPMC6825607
OpenAlexW2947321396

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.