Evidence map›Paper›PMID 37670182›Full record

ArticleJournal of digital imaging2023

Pulmonary Surface Irregularity Score as a New Quantitative CT Marker for Idiopathic Pulmonary Fibrosis-a Pilot Study.

Asser M Abou Elkassem, Rafah Mresh, Ahmed Farag, Steven Rothenberg, Seth T Lirette, Andrew D Smith, Tejaswini Kulkarni

Open access · greenAbstract read
In one paragraph

Article in Journal of digital imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Asser M Abou ElkassemDepartment of Radiology, University of Alabama at Birmingham, 619 19th Street South, Birmingham, AL, 35249, USA. aabouelkassem@uabmc.edu.ORCID http://orcid.org/0000-0002-0536-4239
Rafah MreshDepartment of Radiology, University of Alabama at Birmingham, 619 19th Street South, Birmingham, AL, 35249, USA.
Ahmed FaragDepartment of Radiology, University of Alabama at Birmingham, 619 19th Street South, Birmingham, AL, 35249, USA.
Steven RothenbergDepartment of Radiology, University of Alabama at Birmingham, 619 19th Street South, Birmingham, AL, 35249, USA.
Seth T LiretteDepartment of Data Science, University of Mississippi Medical Center, Translational Research Center, 2500 N. State St., Jackson, MS, 39216, USA.
Andrew D SmithDepartment of Radiology, University of Alabama at Birmingham, 619 19th Street South, Birmingham, AL, 35249, USA.
Tejaswini KulkarniDepartment of Medicine, University of Alabama at Birmingham, 1900 University Blvd, Birmingham, AL, 35294, USA.
University of Alabama at Birmingham · USUniversity of Alabama at Birmingham Hospital · USUniversity of Mississippi Medical Center · US

Funding

Tracking and Evaluation CoreU54GM115428 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI COMPRETTA, CAROLINE E. · 2016 to 2025
$38.2M
NIGMS NIH HHS U54 GM115428
6 · The paper itself

Abstract

The purpose of this study is to evaluate the accuracy and inter-observer agreement of a quantitative pulmonary surface irregularity (PSI) score on high-resolution chest CT (HRCT) for predicting transplant-free survival in patients with IPF. For this IRB-approved HIPAA-compliant retrospective single-center study, adult patients with IPF and HRCT imaging (N = 50) and an age- and gender-matched negative control group with normal HRCT imaging (N = 50) were identified. Four independent readers measured the PSI score in the midlungs on HRCT images using dedicated software while blinded to clinical data. A t-test was used to compare the PSI scores between negative control and IPF cohorts. In the IPF cohort, multivariate cox regression analysis was used to associate PSI score and clinical parameters with transplant-free survival. Inter-observer agreement for the PSI score was assessed by intraclass correlation coefficient (ICC). The technical failure rate of the midlung PSI score was 0% (0/100). The mean PSI score of 5.38 in the IPF cohort was significantly higher than 3.14 in the negative control cohort (p < .001). In the IPF cohort, patients with a high PSI score (≥ median) were 8 times more likely to die than patients with a low PSI score (HR: 8.36; 95%CI: 2.91-24.03; p < .001). In a multivariate model including age, gender, FVC, DLCO, and PSI score, only the PSI score was associated with transplant-free survival (HR:2.11 per unit increase; 95%CI: 0.26-3.51; p = .004). Inter-observer agreement for the PSI score among 4 readers was good (ICC: 0.88; 95%CI: 0.84-0.91). The PSI score had high accuracy and good inter-observer agreement on HRCT for predicting transplant-free survival in patients with IPF.

Indexed as

Idiopathic Pulmonary FibrosisLungAdultHumansPilot ProjectsRetrospective StudiesTomography, X-Ray ComputedComputed tomographyIdiopathic pulmonary fibrosisImaging biomarkersLiver surface nodularityMachine learning

Identifiers

PMID37670182
PMCPMC10584743
OpenAlexW4386456505

What OpenQuestion holds

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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.