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Automatic phantom-less QCT system with high precision of BMD measurement for osteoporosis screening: Technique optimisation and clinical validation
BACKGROUND: Currently dual-energy X-ray absorptiometry (DXA) and phantom-based quantitative computed tomography (PB-QCT) have been utilized to diagnose osteoporosis widely in clinical practice. While traditional phantom-less QCT (PL-QCT) is limited by the precision of manual calibration using body t...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Chinese Speaking Orthopaedic Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844761/ https://www.ncbi.nlm.nih.gov/pubmed/35228994 http://dx.doi.org/10.1016/j.jot.2021.11.008 |
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author | Liu, Zhuo-Jie Zhang, Cheng Ma, Chi Qi, Huan Yang, Ze-Hong Wu, Hao-Yu Yang, Ke-Di Lin, Jun-Yu Wong, Tak-Man Li, Zhao-Yang Li, Chun-Hai Ding, Yue |
author_facet | Liu, Zhuo-Jie Zhang, Cheng Ma, Chi Qi, Huan Yang, Ze-Hong Wu, Hao-Yu Yang, Ke-Di Lin, Jun-Yu Wong, Tak-Man Li, Zhao-Yang Li, Chun-Hai Ding, Yue |
author_sort | Liu, Zhuo-Jie |
collection | PubMed |
description | BACKGROUND: Currently dual-energy X-ray absorptiometry (DXA) and phantom-based quantitative computed tomography (PB-QCT) have been utilized to diagnose osteoporosis widely in clinical practice. While traditional phantom-less QCT (PL-QCT) is limited by the precision of manual calibration using body tissues, such as fat and muscle. OBJECTIVE: The aim of this study is to validate the accuracy and precision of one newly-developed automatic PL-QCT system to measure spinal bone mineral density (BMD) and diagnose osteoporosis. METHODS: A total of 36 patients were enrolled for comparison of BMD measurement between DXA and QCT. CT images of 63 patients were analyzed by both PB-QCT and newly developed automatic PL-QCT system, then the BMD results generated by the automatic PL-QCT were utilized to diagnose osteoporosis. The diagnostic outcomes were compared with that of DXA and PB-QCT to assess the performance of the new system. RESULTS: BMD test results showed that the automatic PL-QCT system had higher precision than previous studies performed with QCT, while maintaining similar capability to diagnose osteoporosis as DXA and PB-QCT. Area under curve (AUC) result of PL-QCT was larger than 0.8 for predicting spine DXA T-score in receiver operating characteristic (ROC) analysis. Pearson correlation analysis (r = 0.99) showed strong linear correlation and Bland-Altman analysis (bias = 3.0mg/cc) indicated little difference between the two methods. The precision result (CV = 0.89%) represented good reproducibility of the new system. CONCLUSION: The traditional PL-QCT system has relatively low reproducibility due to the manual selection of the region of interest (ROI) of body tissues. Automatic selection of ROI in this new system makes the BMD testing more convenient and improves precision significantly. Compared with traditional BMD measurement methods, the automatic PL-QCT system had higher precision in accurate diagnosis of osteoporosis with great potential in translational research and wide clinical application. TRANSLATIONAL POTENTIAL STATEMENT: With high accuracy and precision, the automatic PL-QCT system could serve as an opportunistic screening tool for osteoporosis patients in the future. It could also facilitate related researches by providing more reliable data collection, both retrospectively and longitudinally. |
format | Online Article Text |
id | pubmed-8844761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Chinese Speaking Orthopaedic Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-88447612022-02-27 Automatic phantom-less QCT system with high precision of BMD measurement for osteoporosis screening: Technique optimisation and clinical validation Liu, Zhuo-Jie Zhang, Cheng Ma, Chi Qi, Huan Yang, Ze-Hong Wu, Hao-Yu Yang, Ke-Di Lin, Jun-Yu Wong, Tak-Man Li, Zhao-Yang Li, Chun-Hai Ding, Yue J Orthop Translat Original Article BACKGROUND: Currently dual-energy X-ray absorptiometry (DXA) and phantom-based quantitative computed tomography (PB-QCT) have been utilized to diagnose osteoporosis widely in clinical practice. While traditional phantom-less QCT (PL-QCT) is limited by the precision of manual calibration using body tissues, such as fat and muscle. OBJECTIVE: The aim of this study is to validate the accuracy and precision of one newly-developed automatic PL-QCT system to measure spinal bone mineral density (BMD) and diagnose osteoporosis. METHODS: A total of 36 patients were enrolled for comparison of BMD measurement between DXA and QCT. CT images of 63 patients were analyzed by both PB-QCT and newly developed automatic PL-QCT system, then the BMD results generated by the automatic PL-QCT were utilized to diagnose osteoporosis. The diagnostic outcomes were compared with that of DXA and PB-QCT to assess the performance of the new system. RESULTS: BMD test results showed that the automatic PL-QCT system had higher precision than previous studies performed with QCT, while maintaining similar capability to diagnose osteoporosis as DXA and PB-QCT. Area under curve (AUC) result of PL-QCT was larger than 0.8 for predicting spine DXA T-score in receiver operating characteristic (ROC) analysis. Pearson correlation analysis (r = 0.99) showed strong linear correlation and Bland-Altman analysis (bias = 3.0mg/cc) indicated little difference between the two methods. The precision result (CV = 0.89%) represented good reproducibility of the new system. CONCLUSION: The traditional PL-QCT system has relatively low reproducibility due to the manual selection of the region of interest (ROI) of body tissues. Automatic selection of ROI in this new system makes the BMD testing more convenient and improves precision significantly. Compared with traditional BMD measurement methods, the automatic PL-QCT system had higher precision in accurate diagnosis of osteoporosis with great potential in translational research and wide clinical application. TRANSLATIONAL POTENTIAL STATEMENT: With high accuracy and precision, the automatic PL-QCT system could serve as an opportunistic screening tool for osteoporosis patients in the future. It could also facilitate related researches by providing more reliable data collection, both retrospectively and longitudinally. Chinese Speaking Orthopaedic Society 2022-02-05 /pmc/articles/PMC8844761/ /pubmed/35228994 http://dx.doi.org/10.1016/j.jot.2021.11.008 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Liu, Zhuo-Jie Zhang, Cheng Ma, Chi Qi, Huan Yang, Ze-Hong Wu, Hao-Yu Yang, Ke-Di Lin, Jun-Yu Wong, Tak-Man Li, Zhao-Yang Li, Chun-Hai Ding, Yue Automatic phantom-less QCT system with high precision of BMD measurement for osteoporosis screening: Technique optimisation and clinical validation |
title | Automatic phantom-less QCT system with high precision of BMD measurement for osteoporosis screening: Technique optimisation and clinical validation |
title_full | Automatic phantom-less QCT system with high precision of BMD measurement for osteoporosis screening: Technique optimisation and clinical validation |
title_fullStr | Automatic phantom-less QCT system with high precision of BMD measurement for osteoporosis screening: Technique optimisation and clinical validation |
title_full_unstemmed | Automatic phantom-less QCT system with high precision of BMD measurement for osteoporosis screening: Technique optimisation and clinical validation |
title_short | Automatic phantom-less QCT system with high precision of BMD measurement for osteoporosis screening: Technique optimisation and clinical validation |
title_sort | automatic phantom-less qct system with high precision of bmd measurement for osteoporosis screening: technique optimisation and clinical validation |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844761/ https://www.ncbi.nlm.nih.gov/pubmed/35228994 http://dx.doi.org/10.1016/j.jot.2021.11.008 |
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