Semi-automatic proximal humeral trabecular bone density assessment tool : technique application and clinical validation
© 2024. International Osteoporosis Foundation and Bone Health and Osteoporosis Foundation..
PURPOSE: This study aimed to apply a newly developed semi-automatic phantom-less QCT (PL-QCT) to measure proximal humerus trabecular bone density based on chest CT and verify its accuracy and precision.
METHODS: Subcutaneous fat of the shoulder joint and trapezius muscle were used as calibration references for PL-QCT BMD measurement. A self-developed algorithm based on a convolution map was utilized in PL-QCT for semi-automatic BMD measurements. CT values of ROIs used in PL-QCT measurements were directly used for phantom-based quantitative computed tomography (PB-QCT) BMD assessment. The study included 376 proximal humerus for comparison between PB-QCT and PL-QCT. Two sports medicine doctors measured the proximal humerus with PB-QCT and PL-QCT without knowing each other's results. Among them, 100 proximal humerus were included in the inter-operative and intra-operative BMD measurements for evaluating the repeatability and reproducibility of PL-QCT and PB-QCT.
RESULTS: A total of 188 patients with 376 shoulders were involved in this study. The consistency analysis indicated that the average bias between proximal humerus BMDs measured by PB-QCT and PL-QCT was 1.0 mg/cc (agreement range - 9.4 to 11.4; P > 0.05, no significant difference). Regression analysis between PB-QCT and PL-QCT indicated a good correlation (R-square is 0.9723). Short-term repeatability and reproducibility of proximal humerus BMDs measured by PB-QCT (CV: 5.10% and 3.41%) were slightly better than those of PL-QCT (CV: 6.17% and 5.64%).
CONCLUSIONS: We evaluated the bone quality of the proximal humeral using chest CT through the semi-automatic PL-QCT system for the first time. Comparison between it and PB-QCT indicated that it could be a reliable shoulder BMD assessment tool with acceptable accuracy and precision. This study developed and verify a semi-automatic PL-QCT for assessment of proximal humeral bone density based on CT to assist in the assessment of proximal humeral osteoporosis and development of individualized treatment plans for shoulders.
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| Medienart: |
E-Artikel |
| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2024 |
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| Enthalten in: |
Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA - (2024) vom: 09. März |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Guo, De-Ming [VerfasserIn] |
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| Links: |
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| Themen: |
Bone mineral density |
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| Anmerkungen: |
Date Revised 01.04.2024 published: Print-Electronic ErratumIn: Osteoporos Int. 2024 Apr 1;:. - PMID 38556527 Citation Status Publisher |
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| doi: |
10.1007/s00198-024-07047-y |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM369488725 |
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| 100 | 1 | |a Guo, De-Ming |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Semi-automatic proximal humeral trabecular bone density assessment tool |b technique application and clinical validation |
| 264 | 1 | |c 2024 | |
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| 500 | |a Date Revised 01.04.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a ErratumIn: Osteoporos Int. 2024 Apr 1;:. - PMID 38556527 | ||
| 500 | |a Citation Status Publisher | ||
| 520 | |a © 2024. International Osteoporosis Foundation and Bone Health and Osteoporosis Foundation. | ||
| 520 | |a PURPOSE: This study aimed to apply a newly developed semi-automatic phantom-less QCT (PL-QCT) to measure proximal humerus trabecular bone density based on chest CT and verify its accuracy and precision | ||
| 520 | |a METHODS: Subcutaneous fat of the shoulder joint and trapezius muscle were used as calibration references for PL-QCT BMD measurement. A self-developed algorithm based on a convolution map was utilized in PL-QCT for semi-automatic BMD measurements. CT values of ROIs used in PL-QCT measurements were directly used for phantom-based quantitative computed tomography (PB-QCT) BMD assessment. The study included 376 proximal humerus for comparison between PB-QCT and PL-QCT. Two sports medicine doctors measured the proximal humerus with PB-QCT and PL-QCT without knowing each other's results. Among them, 100 proximal humerus were included in the inter-operative and intra-operative BMD measurements for evaluating the repeatability and reproducibility of PL-QCT and PB-QCT | ||
| 520 | |a RESULTS: A total of 188 patients with 376 shoulders were involved in this study. The consistency analysis indicated that the average bias between proximal humerus BMDs measured by PB-QCT and PL-QCT was 1.0 mg/cc (agreement range - 9.4 to 11.4; P > 0.05, no significant difference). Regression analysis between PB-QCT and PL-QCT indicated a good correlation (R-square is 0.9723). Short-term repeatability and reproducibility of proximal humerus BMDs measured by PB-QCT (CV: 5.10% and 3.41%) were slightly better than those of PL-QCT (CV: 6.17% and 5.64%) | ||
| 520 | |a CONCLUSIONS: We evaluated the bone quality of the proximal humeral using chest CT through the semi-automatic PL-QCT system for the first time. Comparison between it and PB-QCT indicated that it could be a reliable shoulder BMD assessment tool with acceptable accuracy and precision. This study developed and verify a semi-automatic PL-QCT for assessment of proximal humeral bone density based on CT to assist in the assessment of proximal humeral osteoporosis and development of individualized treatment plans for shoulders | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Bone mineral density | |
| 650 | 4 | |a Humeral proximal | |
| 650 | 4 | |a Phantom-less QCT | |
| 700 | 1 | |a Weng, Yuan-Zhi |e verfasserin |4 aut | |
| 700 | 1 | |a Yu, Ze-Hao |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Shi-Huai |e verfasserin |4 aut | |
| 700 | 1 | |a Qu, Wen-Rui |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Xiao-Ning |e verfasserin |4 aut | |
| 700 | 1 | |a Qi, Huan |e verfasserin |4 aut | |
| 700 | 1 | |a Ma, Chi |e verfasserin |4 aut | |
| 700 | 1 | |a Tang, Xiong-Feng |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Rui-Yan |e verfasserin |4 aut | |
| 700 | 1 | |a Han, Qinghe |e verfasserin |4 aut | |
| 700 | 1 | |a Xu, Hao |e verfasserin |4 aut | |
| 700 | 1 | |a Lu, Weijia William |e verfasserin |4 aut | |
| 700 | 1 | |a Qin, Yan-Guo |e verfasserin |4 aut | |
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