Evidence map›Paper›PMID 34272162›Full record

ArticleAcademic radiology2022

Deriving Regionally Specific Biomarkers of Emphysema and Small Airways Disease Using Variable Threshold Parametric Response Mapping on Volumetric Lung CT Images.

Ryan Baron, Stephen Kadlecek, Luis Loza, Yi Xin, Faraz Amzajerdian, Ian Duncan, Hooman Hamedani, Rahim Rizi

Open access · greenAbstract read
In one paragraph

Article in Academic radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
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  3. 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

8 authors at 1 institution in 1 country.

Ryan BaronDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104.
Stephen KadlecekDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104.
Luis LozaDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104.
Yi XinDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104.
Faraz AmzajerdianDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104.
Ian DuncanDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104.
Hooman HamedaniDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104.
Rahim RiziDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104. Electronic address: rahim.rizi@uphs.upenn.edu.
University of Pennsylvania · US

Funding

Improving lung transplant outcomes through the use of imaging in a DBD rat modelR01HL142258 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI RIZI, RAHIM R · 2018 to 2021
$3.1M
Assessment of Lung Injury with integrated Imaging TechniquesR01HL139066 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI RIZI, RAHIM R · 2017 to 2020
$2.4M
NHLBI NIH HHS R01 HL139066NHLBI NIH HHS R01 HL142258
6 · The paper itself

Abstract

purposeThis study aims to develop and validate a parametric response mapping (PRM) methodology to accurately identify diseased regions of the lung by using variable thresholds to account for alterations in regional lung function between the gravitationally-independent (anterior) and gravitationally-dependent (posterior) lung in CT images acquired in the supine position.

methods34 male Sprague-Dawley rats (260-540 g) were imaged, 4 of which received elastase injection (100 units/kg) as a model for emphysema (EMPH). Gated volumetric CT was performed at end-inspiration (EI) and end-expiration (EE) on separate groups of free-breathing (n = 20) and ventilated (n = 10) rats in the supine position. To derive variable thresholds for the new PRM methodology, voxels were first grouped into 100 bins based on the fractional distance along the anterior-to-posterior direction. Lower limits of normal (LLN) for x-ray attenuation in each bin were set by determining the smallest region that enclosed 98% of voxels from healthy, ventilated animals.

resultsWhen utilizing fixed thresholds in the conventional PRM methodology, a distinct posterior-anterior gradient was seen, in which nearly the entire posterior region of the lung was identified as HEALTHY, while the anterior lung was labeled as significantly less so (t(29) = -3.27, p = 0.003). In both cohorts, %SAD progressively increased from posterior to anterior, while %HEALTHY lung decreased in the same direction. After applying our PRM methodology with variable thresholds to the same rat images, the posterior-anterior trend in %SAD quantification was removed from all rats and the significant increase of diseased lung in the anterior was removed.

conclusionsThe PRM methodology using variable thresholds provides regionally specific markers of %SAD and %EMPH by correcting for alterations in regional lung function associated with the naturally occurring vertical gradient of dependent vs. non-dependent lung density and compliance.

Indexed as

EmphysemaLungAnimalsBiomarkersCone-Beam Computed TomographyMaleRatsRats, Sprague-DawleyTomography, X-Ray ComputedBiomarkersLung CTPRMVariable ThresholdsVolumetric Lung CT

Identifiers

PMID34272162
PMCPMC8755853
OpenAlexW3178077141

What OpenQuestion holds

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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.