Evidence map›Paper›PMID 37338355›Full record

ArticleRadiology2023

Radiomics for Improved Detection of Chronic Obstructive Pulmonary Disease in Low-Dose and Standard-Dose Chest CT Scans.

Praneeth Reddy Amudala Puchakayala, Venkata L Sthanam, Arie Nakhmani, Muhammad F A Chaudhary, Abhilash Kizhakke Puliyakote, Joseph M Reinhardt, Chengcui Zhang, Surya P Bhatt, Sandeep Bodduluri

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PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
12.1field-weighted citation impact, top 1% 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

35 citing papers in PubMed, 47 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Praneeth Reddy Amudala PuchakayalaFrom the UAB Lung Imaging Lab (P.R.A.P., V.L.S., A.N., A.K.P., S.P.B., S.B.), Department of Computer Science (P.R.A.P., C.Z.), Department of Electrical and Computer Engineering (V.L.S., A.N.), and Division of Pulmonary, Allergy and Critical Care Medicine (A.K.P., S.P.B., S.B.), University of Alabama at Birmingham, 1720 2nd Ave S, THT 422, Birmingham, AL 35294; and The Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa (M.F.A.C., J.M.R.).
Venkata L SthanamFrom the UAB Lung Imaging Lab (P.R.A.P., V.L.S., A.N., A.K.P., S.P.B., S.B.), Department of Computer Science (P.R.A.P., C.Z.), Department of Electrical and Computer Engineering (V.L.S., A.N.), and Division of Pulmonary, Allergy and Critical Care Medicine (A.K.P., S.P.B., S.B.), University of Alabama at Birmingham, 1720 2nd Ave S, THT 422, Birmingham, AL 35294; and The Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa (M.F.A.C., J.M.R.).
Arie NakhmaniFrom the UAB Lung Imaging Lab (P.R.A.P., V.L.S., A.N., A.K.P., S.P.B., S.B.), Department of Computer Science (P.R.A.P., C.Z.), Department of Electrical and Computer Engineering (V.L.S., A.N.), and Division of Pulmonary, Allergy and Critical Care Medicine (A.K.P., S.P.B., S.B.), University of Alabama at Birmingham, 1720 2nd Ave S, THT 422, Birmingham, AL 35294; and The Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa (M.F.A.C., J.M.R.).ORCID 0000-0002-0987-4834
Muhammad F A ChaudharyFrom the UAB Lung Imaging Lab (P.R.A.P., V.L.S., A.N., A.K.P., S.P.B., S.B.), Department of Computer Science (P.R.A.P., C.Z.), Department of Electrical and Computer Engineering (V.L.S., A.N.), and Division of Pulmonary, Allergy and Critical Care Medicine (A.K.P., S.P.B., S.B.), University of Alabama at Birmingham, 1720 2nd Ave S, THT 422, Birmingham, AL 35294; and The Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa (M.F.A.C., J.M.R.).
Abhilash Kizhakke PuliyakoteFrom the UAB Lung Imaging Lab (P.R.A.P., V.L.S., A.N., A.K.P., S.P.B., S.B.), Department of Computer Science (P.R.A.P., C.Z.), Department of Electrical and Computer Engineering (V.L.S., A.N.), and Division of Pulmonary, Allergy and Critical Care Medicine (A.K.P., S.P.B., S.B.), University of Alabama at Birmingham, 1720 2nd Ave S, THT 422, Birmingham, AL 35294; and The Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa (M.F.A.C., J.M.R.).
Joseph M ReinhardtFrom the UAB Lung Imaging Lab (P.R.A.P., V.L.S., A.N., A.K.P., S.P.B., S.B.), Department of Computer Science (P.R.A.P., C.Z.), Department of Electrical and Computer Engineering (V.L.S., A.N.), and Division of Pulmonary, Allergy and Critical Care Medicine (A.K.P., S.P.B., S.B.), University of Alabama at Birmingham, 1720 2nd Ave S, THT 422, Birmingham, AL 35294; and The Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa (M.F.A.C., J.M.R.).ORCID 0000-0003-3526-3591
Chengcui ZhangFrom the UAB Lung Imaging Lab (P.R.A.P., V.L.S., A.N., A.K.P., S.P.B., S.B.), Department of Computer Science (P.R.A.P., C.Z.), Department of Electrical and Computer Engineering (V.L.S., A.N.), and Division of Pulmonary, Allergy and Critical Care Medicine (A.K.P., S.P.B., S.B.), University of Alabama at Birmingham, 1720 2nd Ave S, THT 422, Birmingham, AL 35294; and The Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa (M.F.A.C., J.M.R.).ORCID 0000-0002-5868-6450
Surya P Bhatt *From the UAB Lung Imaging Lab (P.R.A.P., V.L.S., A.N., A.K.P., S.P.B., S.B.), Department of Computer Science (P.R.A.P., C.Z.), Department of Electrical and Computer Engineering (V.L.S., A.N.), and Division of Pulmonary, Allergy and Critical Care Medicine (A.K.P., S.P.B., S.B.), University of Alabama at Birmingham, 1720 2nd Ave S, THT 422, Birmingham, AL 35294; and The Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa (M.F.A.C., J.M.R.).ORCID 0000-0002-8418-4497
Sandeep Bodduluri *From the UAB Lung Imaging Lab (P.R.A.P., V.L.S., A.N., A.K.P., S.P.B., S.B.), Department of Computer Science (P.R.A.P., C.Z.), Department of Electrical and Computer Engineering (V.L.S., A.N.), and Division of Pulmonary, Allergy and Critical Care Medicine (A.K.P., S.P.B., S.B.), University of Alabama at Birmingham, 1720 2nd Ave S, THT 422, Birmingham, AL 35294; and The Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa (M.F.A.C., J.M.R.).ORCID 0000-0001-8201-5262
University of Alabama at Birmingham · USUniversity of Iowa · US

Funding

Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
Vector Core-Core 2P30DK054759 · NIDDK · UNIVERSITY OF IOWA · PI Alejandro Antonio Pezzulo · 1998 to 2026
$30.5M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
1/2 Video Telehealth Pulmonary Rehabilitation to Reduce Hospital Readmission in Chronic Obstructive Pulmonary Disease (Tele-COPD)UH3HL155806 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Surya P Bhatt · 2022 to 2026
$5.4M
Structural Determinants of Disease Progression in COPDR01HL151421 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BHATT, SURYA P., NAKHMANI, ARIE · 2020 to 2024
$2.6M
Silent Zones of Lung Disease in COPDK01HL163249 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Sandeep Bodduluri · 2023 to 2026
$674k
Deep Learning and Fluid Dynamics Based Phenotyping of Expiratory Central Airway CollapseR21EB027891 · NIBIB · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BHATT, SURYA P., RAGHAV, VRISHANK · 2019 to 2021
$599k
NHLBI NIH HHS K01 HL163249NHLBI NIH HHS R01 HL151421NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897NHLBI NIH HHS UH3 HL155806NIBIB NIH HHS R21 EB027891NIDDK NIH HHS P30 DK054759
6 · The paper itself

Abstract

Background Approximately half of adults with chronic obstructive pulmonary disease (COPD) remain undiagnosed. Chest CT scans are frequently acquired in clinical practice and present an opportunity to detect COPD. Purpose To assess the performance of radiomics features in COPD diagnosis using standard-dose and low-dose CT models. Materials and Methods This secondary analysis included participants enrolled in the Genetic Epidemiology of COPD, or COPDGene, study at baseline (visit 1) and 10 years after baseline (visit 3). COPD was defined by a forced expiratory volume in the 1st second of expiration to forced vital capacity ratio less than 0.70 at spirometry. The performance of demographics, CT emphysema percentage, radiomics features, and a combined feature set derived from inspiratory CT alone was evaluated. CatBoost (Yandex), a gradient boosting algorithm, was used to perform two classification experiments to detect COPD; the two models were trained and tested on standard-dose CT data from visit 1 (model I) and low-dose CT data from visit 3 (model II). Classification performance of the models was evaluated using area under the receiver operating characteristic curve (AUC) and precision-recall curve analysis. Results A total of 8878 participants (mean age, 57 years ± 9 [SD]; 4180 female, 4698 male) were evaluated. Radiomics features in model I achieved an AUC of 0.90 (95% CI: 0.88, 0.91) in the standard-dose CT test cohort versus demographics (AUC, 0.73; 95% CI: 0.71, 0.76;

Indexed as

EmphysemaPulmonary Disease, Chronic ObstructivePulmonary EmphysemaAdultFemaleHumansLungMaleMiddle AgedTomography, X-Ray Computed

Identifiers

PMID37338355
PMCPMC10315520
OpenAlexW4381245382

What OpenQuestion holds

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Registered trials

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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.