Evidence map›Paper›PMID 29672215›Full record

ArticleJournal of aerosol medicine and pulmonary drug delivery2018

Anatomically Based Analysis of Radioaerosol Distribution in Pulmonary Scintigraphy: A Feasibility Study in Asthmatics.

Luciana Alcoforado, Armèle Dornelas de Andrade, Joaquin L Herraiz, Simone Cristina Soares Brandão, Jacqueline de Melo Barcelar, James B Fink, Jose G Venegas

Open access · greenAbstract read
In one paragraph

Article in Journal of aerosol medicine and pulmonary drug delivery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. MultiscaleCurrent opinion in biomedical engineering · 2019
    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

7 authors at 4 institutions in 3 countries.

Luciana Alcoforado1 Department of Physical Therapy, Universidade Federal de Pernambuco , Recife, Brazil .
Armèle Dornelas de Andrade1 Department of Physical Therapy, Universidade Federal de Pernambuco , Recife, Brazil .
Joaquin L Herraiz2 Grupo de Fisica Nuclear, Facultad de Ciencias Fisicas, Universidad Complutense de Madrid , Madrid, Spain .
Simone Cristina Soares Brandão3 Nuclear Department, Universidade Federal de Pernambuco , Recife, Brazil .
Jacqueline de Melo Barcelar1 Department of Physical Therapy, Universidade Federal de Pernambuco , Recife, Brazil .
James B Fink4 Georgia State University , Atlanta, Georgia .
Jose G Venegas5 Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School , Boston, Massachusetts.
Universidade Federal de Pernambuco · BRGeorgia State University · USHarvard University · USUniversidad Complutense de Madrid · ES

Funding

3D assessment of airway liquid absorption and muco-ciliary transport: key markers of lung disease pathophysiologyR21EB020849 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI VENEGAS, JOSE G · 2015 to 2016
$470k
NIBIB NIH HHS R21 EB020849
6 · The paper itself

Abstract

introductionManual analysis of two-dimensional (2D) scintigraphy to evaluate aerosol deposition is usually subjective and has reduced sensitivity to quantify regional differences between central and distal airways.

aims(1) To present a method to analyze 2D scans based on three-dimensional (3D)-linked anatomically consistent regions of interest (ROIs); (2) to evaluate peripheral-to-central counts ratio (P/C

methodsTwo-dimensional scans were analyzed using custom software that scaled onto 2D-projections' 3D anatomical features, obtained from population-averaged computed tomography (CT) chest scans. ROIs for a rectangular box (bROI) and an anatomically shaped ROI (aROI) were defined by computer and by manually tracing the standard rectangular box (manual ROI [mROI]). These ROIs were defined five nonconsecutive times for each scan and average value and variability of the P/C

resultsP/C

conclusionOur results demonstrate that 2D scintigraphy can be analyzed using anatomically based ROIs from 3D CT data, allowing objective and enhanced reproducibility values describing the distribution pattern of radioaerosol deposition in the tracheobronchial tree.

Indexed as

AerosolsAdultAsthmaFeasibility StudiesFemaleHumansImaging, Three-DimensionalLungMaleMiddle AgedTomography, X-Ray ComputedAerosols3D analysisaerosol depositionpenetration analysisregions of interestscintigraphyvoxel influence matrix

Identifiers

PMID29672215
PMCPMC6161331
OpenAlexW2799577940

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.