气候变化领域集成服务门户(CCPortal): Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning

CCPortal

DOI	10.1073/pnas.1917405117
	Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning
	Kundu S.; Ashinsky B.G.; Bouhrara M.; Dam E.B.; Demehri S.; Shifat-E-Rabbi M.; Spencer R.G.; Urish K.L.; Rohde G.K.
发表日期	2020
ISSN	0027-8424
起始页码	24709
结束页码	24719
卷号	117 期号:40
英文摘要	Many diseases have no visual cues in the early stages, eluding image-based detection. Today, osteoarthritis (OA) is detected after bone damage has occurred, at an irreversible stage of the disease. Currently no reliable method exists for OA detection at a reversible stage. We present an approach that enables sensitive OA detection in presymptomatic individuals. Our approach combines optimal mass transport theory with statistical pattern recognition. Eighty-six healthy individuals were selected from the Osteoarthritis Initiative, with no symptoms or visual signs of disease on imaging. On 3-y follow-up, a subset of these individuals had progressed to symptomatic OA. We trained a classifier to differentiate progressors and nonprogressors on baseline cartilage texture maps, which achieved a robust test accuracy of 78% in detecting future symptomatic OA progression 3 y prior to symptoms. This work demonstrates that OA detection may be possible at a potentially reversible stage. A key contribution of our work is direct visualization of the cartilage phenotype defining predictive ability as our technique is generative. We observe early biochemical patterns of fissuring in cartilage that define future onset of OA. In the future, coupling presymptomatic OA detection with emergent clinical therapies could modify the outcome of a disease that costs the United States healthcare system $16.5 billion annually. Furthermore, our technique is broadly applicable to earlier image-based detection of many diseases currently diagnosed at advanced stages today. © 2020 National Academy of Sciences. All rights reserved.
英文关键词	3D transport-based morphometry; Classification; Early diagnosis; Osteoarthritis; T2 imaging
语种	英语
scopus关键词	articular cartilage; cohort analysis; diagnostic imaging; disease exacerbation; early diagnosis; female; human; knee osteoarthritis; machine learning; male; nuclear magnetic resonance imaging; pathology; Cartilage, Articular; Cohort Studies; Disease Progression; Early Diagnosis; Female; Humans; Machine Learning; Magnetic Resonance Imaging; Male; Osteoarthritis, Knee
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/160215
作者单位	Kundu, S., Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, United States, Medical Scientist Training Program, University of Pittsburgh, Pittsburgh, PA 15261, United States; Ashinsky, B.G., Laboratory of Clinical Investigation, Magnetic Resonance Imaging and Spectroscopy Section, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, United States; Bouhrara, M., Laboratory of Clinical Investigation, Magnetic Resonance Imaging and Spectroscopy Section, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, United States; Dam, E.B., Department of Computer Science, University of Copenhagen, Copenhagen, 2100, Denmark; Demehri, S., Department of Radiology, Johns Hopkins Hospital, Baltimore, MD 21287, United States; Shifat-E-Rabbi, M., Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, United States; Spencer, R.G., Laboratory of Clinical Investigation, Magnetic Resonance Imaging...
推荐引用方式 GB/T 7714	Kundu S.,Ashinsky B.G.,Bouhrara M.,et al. Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning[J],2020,117(40).
APA	Kundu S..,Ashinsky B.G..,Bouhrara M..,Dam E.B..,Demehri S..,...&Rohde G.K..(2020).Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning.Proceedings of the National Academy of Sciences of the United States of America,117(40).
MLA	Kundu S.,et al."Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning".Proceedings of the National Academy of Sciences of the United States of America 117.40(2020).