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Erschienen in: Archives of Osteoporosis 1/2023

01.12.2023 | Original Article

Development of a system to assess the two- and three-dimensional bone mineral density of the lumbar vertebrae from clinical quantitative CT images

verfasst von: Keisuke Uemura, Takahito Fujimori, Yoshito Otake, Yuga Shimomoto, Sotaro Kono, Kazuma Takashima, Hidetoshi Hamada, Shota Takenaka, Takashi Kaito, Yoshinobu Sato, Nobuhiko Sugano, Seiji Okada

Erschienen in: Archives of Osteoporosis | Ausgabe 1/2023

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Abstract

Summary

This study developed a system to quantify the lumbar spine’s bone mineral density (BMD) in two and three dimensions for osteoporosis screening using quantitative CT images. Measuring the two-dimensional BMD could reproduce the BMD measurement performed in dual-energy X-ray absorptiometry, and an accurate diagnosis of osteoporosis was possible.

Purpose

To date, the assessment of bone mineral density (BMD) using CT images has been made in three dimensions, leading to errors in detecting osteoporosis based on the two-dimensional assessments of BMD using dual-energy X-ray absorptiometry (DXA-BMD). Herein, we aimed to develop a system that measures two- and three-dimensional lumbar BMD from quantitative CT images and validated the accuracy of the system in diagnosing osteoporosis with regard to the DXA classification.

Methods

Fifty-nine pairs of spinal CT and DXA images were analyzed. First, the three-dimensional BMD was measured at the axial slice of the L1 vertebra on CT images (L1-vBMD). Then, the L1-L4 vertebrae were segmented from the CT images to measure the three-dimensional BMD at the trabecular region of the L1-L4 vertebral bodies (CT-vBMD). Lastly, the segmented vertebrae were projected onto the coronal plane to measure the two-dimensional BMD (CT-aBMD). Each parameter was correlated with DXA-BMD, and the receiver operating characteristic (ROC) curve to diagnose osteoporosis was assessed.

Results

The correlation coefficients of DXA-BMD with L1-vBMD, CT-vBMD, and CT-aBMD were 0.364, 0.456, and 0.911, respectively (all p < 0.01). In the ROC curve analysis to diagnose osteoporosis, the area under the curve for CT-aBMD (0.941) was significantly higher than those for L1-vBMD (0.582) and CT-vBMD (0.657) (both p < 0.01).

Conclusion

Compared with L1-vBMD and CT-vBMD, CT-aBMD could accurately predict DXA-BMD and detect patients with osteoporosis. Given that our method can quantify BMD in both two and three dimensions, it could be used to screen for osteoporosis from quantitative CT images.
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Literatur
5.
16.
Zurück zum Zitat Payer C, Štern D, Bischof H, Urschler M (2020) Coarse to fine vertebrae localization and segmentation with SpatialConfiguration-Net and U-Net: In: Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SCITEPRESS - Science and Technology Publications, Valletta, Malta, pp. 124–133 Payer C, Štern D, Bischof H, Urschler M (2020) Coarse to fine vertebrae localization and segmentation with SpatialConfiguration-Net and U-Net: In: Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SCITEPRESS - Science and Technology Publications, Valletta, Malta, pp. 124–133
Metadaten
Titel
Development of a system to assess the two- and three-dimensional bone mineral density of the lumbar vertebrae from clinical quantitative CT images
verfasst von
Keisuke Uemura
Takahito Fujimori
Yoshito Otake
Yuga Shimomoto
Sotaro Kono
Kazuma Takashima
Hidetoshi Hamada
Shota Takenaka
Takashi Kaito
Yoshinobu Sato
Nobuhiko Sugano
Seiji Okada
Publikationsdatum
01.12.2023
Verlag
Springer London
Erschienen in
Archives of Osteoporosis / Ausgabe 1/2023
Print ISSN: 1862-3522
Elektronische ISSN: 1862-3514
DOI
https://doi.org/10.1007/s11657-023-01216-y

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