Improved CT-based Osteoporosis Assessment with a Fully Automated Deep Learning Tool.

Abdomen/GI CT CT-Quantitative Deep Learning Machine Learning Skeletal-Axial Spine

Journal

Radiology. Artificial intelligence
ISSN: 2638-6100
Titre abrégé: Radiol Artif Intell
Pays: United States
ID NLM: 101746556

Informations de publication

Date de publication:
Sep 2022
Historique:
received: 07 03 2022
revised: 12 08 2022
accepted: 17 08 2022
entrez: 7 10 2022
pubmed: 8 10 2022
medline: 8 10 2022
Statut: epublish

Résumé

To develop, test, and validate a deep learning (DL) tool that improves upon a previous feature-based CT image processing bone mineral density (BMD) algorithm and compare it against the manual reference standard. This single-center, retrospective, Health Insurance Portability and Accountability Act-compliant study included manual L1 trabecular Hounsfield unit measurements from abdominal CT scans in 11 035 patients (mean age, 58 years ± 12 [SD]; 6311 women) as the reference standard. Automated level selection and L1 trabecular region of interest (ROI) placement were then performed in this CT cohort with both a previously validated feature-based image processing tool and a new DL tool. Overall technical success rates and agreement with the manual reference standard were assessed. The overall success rate of the DL tool in this heterogeneous patient cohort was significantly higher than that of the older image processing BMD algorithm (99.3% vs 89.4%, The new DL BMD tool demonstrated a higher success rate than the older feature-based image processing tool, and its outputs can be targeted for higher specificity or sensitivity for osteoporosis assessment.

Identifiants

DOI: 10.1148/ryai.220042 PMID: 36204542 PMC: PMC9530763
pubmed: 36204542
doi: 10.1148/ryai.220042
pmc: PMC9530763
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e220042

Subventions

Organisme : NLM NIH HHS
ID : R01 LM013151
Pays : United States

Informations de copyright

© 2022 by the Radiological Society of North America, Inc.

Déclaration de conflit d'intérêts

Disclosures of conflicts of interest: P.J.P. Consulting fees for advisor to Bracco, Nanox, and GE Healthcare; stock/stock options in Nanox. T.N. No relevant relationships. A.A.P. Support for attending meetings and/or travel from UW Health for academic radiology conferences. P.M.G. No relevant relationships. S.J. No relevant relationships. R.M.S. Grant from PingAn (CRADA); royalties for patents or licenses from iCAD, Philips, ScanMed, PingAn, Translation Holdings; associate editor of Radiology: Artificial Intelligence. J.W.G. R01 LM013151/LM/NLM NIH HHS/United States grant.

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Auteurs

Perry J Pickhardt (PJ)

Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252 (P.J.P., T.N., A.A.P., P.M.G., S.J., J.W.G.); and Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.).
ORCID: 0000-0002-5534-8202

Thang Nguyen (T)

Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252 (P.J.P., T.N., A.A.P., P.M.G., S.J., J.W.G.); and Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.).
ORCID: 0000-0003-3678-5674

Alberto A Perez (AA)

Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252 (P.J.P., T.N., A.A.P., P.M.G., S.J., J.W.G.); and Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.).

Peter M Graffy (PM)

Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252 (P.J.P., T.N., A.A.P., P.M.G., S.J., J.W.G.); and Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.).
ORCID: 0000-0002-2156-7175

Samuel Jang (S)

Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252 (P.J.P., T.N., A.A.P., P.M.G., S.J., J.W.G.); and Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.).
ORCID: 0000-0002-8398-7263

Ronald M Summers (RM)

Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252 (P.J.P., T.N., A.A.P., P.M.G., S.J., J.W.G.); and Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.).
ORCID: 0000-0001-8081-7376

John W Garrett (JW)

Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252 (P.J.P., T.N., A.A.P., P.M.G., S.J., J.W.G.); and Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.).
ORCID: 0000-0002-8152-736X

Classifications MeSH