Evidence map›Paper›PMID 25977979›Full record

ArticleJournal of aerosol medicine and pulmonary drug delivery2016

What Causes Uneven Aerosol Deposition in the Bronchoconstricted Lung? A Quantitative Imaging Study.

Elliot Eliyahu Greenblatt, Tilo Winkler, Robert Scott Harris, Vanessa Jane Kelly, Mamary Kone, Ira Katz, Andrew R Martin, George Caillibotte, Jose Venegas

Abstract read
In one paragraph

Article in Journal of aerosol medicine and pulmonary drug delivery, 2016. 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
2.2field-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. Review
  2. Lung functional imaging.Breathe (Sheffield, England) · 2023
    Article
  3. Measuring Anatomical Distributions of Ventilation and Aerosol Deposition with PET-CT.Journal of aerosol medicine and pulmonary drug delivery · 2023
    Review
  4. Article
  5. Article
  6. Differences in Particle Deposition Between Members of Imaging-Based Asthma Clusters.Journal of aerosol medicine and pulmonary drug delivery · 2019
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Validating Whole-Airway CFD Predictions of DPI Aerosol Deposition at Multiple Flow Rates.Journal of aerosol medicine and pulmonary drug delivery · 2016
    Article
  12. Article
  13. Article
  14. 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 at 4 institutions in 2 countries.

Elliot Eliyahu Greenblatt1 Department of Mechanical Engineering, Massachusetts Institute of Technology , Boston, Massachusetts.
Tilo Winkler2 Massachusetts General Hospital and Harvard Medical School , Boston, Massachusetts.
Robert Scott Harris2 Massachusetts General Hospital and Harvard Medical School , Boston, Massachusetts.
Vanessa Jane Kelly2 Massachusetts General Hospital and Harvard Medical School , Boston, Massachusetts.
Mamary Kone2 Massachusetts General Hospital and Harvard Medical School , Boston, Massachusetts.
Ira Katz3 R&D Medical , Air Liquide Santé International, Les-Loges-en-Josas, France .
Andrew R Martin5 Department of Mechanical Engineering, University of Alberta , Edmonton, Alberta, Canada .
George Caillibotte3 R&D Medical , Air Liquide Santé International, Les-Loges-en-Josas, France .
Jose Venegas2 Massachusetts General Hospital and Harvard Medical School , Boston, Massachusetts.
Massachusetts General Hospital · USHarvard University · USLafayette College · USUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA previous PET-CT imaging study of 14 bronchoconstricted asthmatic subjects showed that peripheral aerosol deposition was highly variable among subjects and lobes. The aim of this work was to identify and quantify factors responsible for this variability.

methodsA theoretical framework was formulated to integrate four factors affecting aerosol deposition: differences in ventilation, in how air vs. aerosol distribute at each bifurcation, in the fraction of aerosol escaping feeding airways, and in the fraction of aerosol reaching the periphery that is exhaled. These factors were quantified in 12 of the subjects using PET-CT measurements of relative specific deposition sD*, relative specific ventilation sV* (measured with dynamic PET or estimated as change in expansion between two static HRCTs), average lobar expansion F

resultsThe fraction of the variance of sD* explained by sV* (0.38), by bifurcation effects (0.38), and by differences in deposition along feeding airways (0.31) were similar in magnitude. We could not directly estimate the contribution of aerosol that was exhaled. Differences in expansion did not explain any fraction of the variability in sD* among lobes. The dependence of sD* on sV* was high in subjects breathing with low f

conclusionThe theoretical framework allowed us to analyze experimentally measured aerosol deposition imaging data. When considering bronchoconstricted asthmatic subjects, a dynamic measurement of ventilation is required to evaluate its effect on aerosol transport. The mechanisms behind the identified effects of f

Indexed as

aerosol depositionasthmabronchoconstrictionescape fractionssedimentationventilation

Identifiers

PMID25977979
PMCPMC4770852
OpenAlexW2156647462

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.