Near-infrared spectroscopy for structural bone assessment

Author:

Sharma Varun J.123ORCID,Adegoke John A.34,Afara Isaac O.3456,Stok Kathryn7,Poon Eric38,Gordon Claire L.89,Wood Bayden R.34,Raman Jaishankar123

Affiliation:

1. Department of Surgery, Melbourne Medical School, University of Melbourne, Melbourne, Australia

2. Brian F. Buxton Department of Cardiac and Thoracic Aortic Surgery, Austin Hospital, Melbourne, Australia

3. Spectromix Laboratory, Melbourne, Australia

4. Centre for Biospectroscopy, Monash University, Melbourne, Australia

5. Biomedical Spectroscopy Laboratory, Department of Applied Physics, University of Eastern Finland, Kuopio, Finland

6. School of Information Technology and Electrical Engineering Faculty of Engineering, Architecture and Information Technology, Melbourne, Australia

7. Department of Biomedical Engineering, University of Melbourne, Melbourne, Australia

8. Department of Medicine, Melbourne Medical School, University of Melbourne, Melbourne, Australia

9. Department of Infectious Diseases, Austin Hospital, Melbourne, Australia

Abstract

AimsDisorders of bone integrity carry a high global disease burden, frequently requiring intervention, but there is a paucity of methods capable of noninvasive real-time assessment. Here we show that miniaturized handheld near-infrared spectroscopy (NIRS) scans, operated via a smartphone, can assess structural human bone properties in under three seconds.MethodsA hand-held NIR spectrometer was used to scan bone samples from 20 patients and predict: bone volume fraction (BV/TV); and trabecular (Tb) and cortical (Ct) thickness (Th), porosity (Po), and spacing (Sp).ResultsNIRS scans on both the inner (trabecular) surface or outer (cortical) surface accurately identified variations in bone collagen, water, mineral, and fat content, which then accurately predicted bone volume fraction (BV/TV, inner R2= 0.91, outer R2= 0.83), thickness (Tb.Th, inner R2= 0.9, outer R2= 0.79), and cortical thickness (Ct.Th, inner and outer both R2= 0.90). NIRS scans also had 100% classification accuracy in grading the quartile of bone thickness and quality.ConclusionWe believe this is a fundamental step forward in creating an instrument capable of intraoperative real-time use.Cite this article:Bone Jt Open 2023;4(4):250–261.

Publisher

British Editorial Society of Bone & Joint Surgery

Subject

Surgery,Orthopedics and Sports Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3