Investigating the Role of Area Deprivation Index in Observed Differences in CT-Based Body Composition by Race.
| Title: | Investigating the Role of Area Deprivation Index in Observed Differences in CT-Based Body Composition by Race. |
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| Authors: | Chisholm M; Duke University School of Medicine, Durham, North Carolina; Cochair, 2025 ACR Medical Student Symposium; President, Duke University Interventional Radiology Interest Group. Electronic address: miriam.chisholm@duke.edu.; Jabal MS; Department of Radiology, Duke University, Durham, North Carolina.; He H; Department of Radiology, Duke University, Durham, North Carolina.; Wang Y; Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina.; Kalisz K; Department of Radiology, Duke University, Durham, North Carolina.; Lafata KJ; Department of Radiology, Duke University, Durham, North Carolina; Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina; Department of Radiation Oncology, Duke University, Durham, North Carolina; Department of Pathology, Duke University, Durham, North Carolina.; Calabrese E; Department of Radiology, Duke University, Durham, North Carolina.; Bashir MR; Associate Vice Chair for Research, Department of Radiology, Duke University, Durham, North Carolina; Member, LI-RADS Steering Committee; Cochair LI-RADS Evidence and Research Working Group; Director, Center for Magnetic Resonance Development, Duke University; Department of Medicine, Duke University, Durham, North Carolina; Center for Advanced Magnetic Resonance Development, Duke University, Durham, North Carolina.; Tailor TD; Department of Radiology, Duke University, Durham, North Carolina; Fellowship Director, Cardiothoracic Radiology, Duke Health; Research Director, Duke Lung Cancer Screening Program.; Magudia K; Department of Radiology, Duke University, Durham, North Carolina; Cochair, SAR Informatics Committee; Cochair, RSNA Radiology Reimagined (formerly Imaging AI in Practice Demonstration) Task Force; Cochair, ACR Committee for Women, Commission for Women and Diversity; Member, Gender Diversity Advocacy Workgroup; Cochair, AAWR Advocacy Committee; Radiology: Artificial Intelligence Associate Editor and Advisory Panel Member for the Trainee Editorial Board. |
| Source: | Journal of the American College of Radiology : JACR [J Am Coll Radiol] 2025 Oct; Vol. 22 (10), pp. 1182-1192. Date of Electronic Publication: 2025 Jun 13. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 101190326 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1558-349X (Electronic) Linking ISSN: 15461440 NLM ISO Abbreviation: J Am Coll Radiol Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: New York, NY : Elsevier, c2004- |
| MeSH Terms: | Tomography, X-Ray Computed*/methods ; Body Composition* ; Racial Groups*; Humans ; Female ; Male ; Middle Aged ; Aged ; Retrospective Studies ; Adult |
| Abstract: | Objectives: Differences in CT-based body composition (BC) have been observed by race. We sought to investigate whether indices reporting census block group-level disadvantage, Area Deprivation Index (ADI) and Social Vulnerability Index (SVI), age, gender, and clinical factors could explain race-based differences in BC.; Methods: The first abdominal CT examinations for patients in Durham County at a single institution in 2020 were analyzed using a fully automated and open-source deep learning BC analysis workflow to generate cross-sectional areas for skeletal muscle (SMA), subcutaneous fat (SFA), and visceral fat (VFA). Patient-level demographic and clinical data were gathered from the electronic health record. State ADI ranking and SVI values were linked to each patient. Univariable and multivariable models were created to assess the association of demographics, ADI, SVI, and other relevant clinical factors with SMA, SFA, and VFA.; Results: In all, 5,311 patients (mean age, 57.4 years; 55.5% female; 46.5% Black; 39.5% White; 10.3% Hispanic) were included. At univariable analysis, race, ADI, SVI, gender, body mass index, weight, and height were significantly associated with all body compartments (SMA, SFA, and VFA, all P < .05). At multivariable analyses adjusted for patient characteristics and clinical comorbidities, race remained a significant predictor, whereas ADI did not. SVI was significant in a multivariable model with SMA.; Discussion: The results of this retrospective study suggest that neighborhood indices are insufficient proxies for the socio-economic and environmental factors likely driving race-based differences in CT-based BC. Future research should analyze individual census tract variables and patient level data to better understand this relationship.; (Copyright © 2025 American College of Radiology. Published by Elsevier Inc. All rights reserved.) |
| Contributed Indexing: | Keywords: Area Deprivation Index; Social Vulnerability Index; body composition; race; social determinants of health |
| Entry Date(s): | Date Created: 20250615 Date Completed: 20251004 Latest Revision: 20251113 |
| Update Code: | 20260130 |
| DOI: | 10.1016/j.jacr.2025.06.016 |
| PMID: | 40517983 |
| Database: | MEDLINE |
Journal Article