Chinese expert consensus on the diagnosis of osteoporosis by imaging and bone mineral density

Cheng, Xiaoguang; Huishu, Yuan; Cheng, Jingliang; Weng, Xisheng; Xu, Hao; Gao, Jianbo; Huang, Mingqian; Wáng, Yì Xiáng J.; Wu, Yan; Xu, Wenjian; Liu, Li; Liu, Hua; Huang, Can; Jin, Zhengyu; Tian, Wei

doi:10.21037/qims-2020-16

Cited by 49 publications

(38 citation statements)

References 33 publications

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“…The test indexes include waist hip ratio, muscle mass (kg), fat mass (kg), body fat percentage (%), upper limb muscle mass (kg), trunk muscle mass (kg), lower limb muscle mass (kg), upper limb fat mass (kg), trunk fat mass (kg), lower limb fat mass (kg), whole-body phase angle ( °), and visceral fat area (cm 2 ). [39], the bone mineral density of lumbar spines 1-4 (L1-4) was tested by dual energy X-ray bone mineral density tester (Primus, OSTO, Korea) [40].…”

Section: Body Composition Testmentioning

confidence: 99%

The Relationship between Body Composition and Bone Mineral Density of Female Workers in A Unit of Tai’an

Wang

Chen

et al. 2022

Computational and Mathematical Methods in Medicine

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Objective. To explore the relationship between body composition and bone mineral density (BMD) of female workers in a university of Tai’an. Methods. This study randomly selected 90 female employees in a university of Tai’an. The body composition was monitored by body composition analyzer (inbody770), and the lumbar bone mineral density was monitored by dual energy X-ray absorptiometry (BMD model). The data were analyzed by SPSS 22.0 statistical software. Results. With the increasing of body mass index (BMI), BMD of female lumbar spines 1-4 (L1-4) increased gradually. Spearman correlation analysis showed that BMI, skeletal muscle mass, upper limb muscle mass, trunk muscle mass, lower limb muscle mass, and whole-body phase angle were positively correlated with L1-4BMD. Age was negatively correlated with L1-4BMD. Linear regression analysis showed that age was a negative factor of L1-4BMD, and skeletal muscle mass was a protective factor of abnormal bone mass, especially lower limb muscle mass. Conclusions. Lower limb muscle mass is a protective factor of female BMD. Strengthening physical exercise to improve lower limb muscle mass is conducive to the prevention of female osteoporosis.

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Section: Body Composition Testmentioning

confidence: 99%

The Relationship between Body Composition and Bone Mineral Density of Female Workers in A Unit of Tai’an

Wang

Chen

et al. 2022

Computational and Mathematical Methods in Medicine

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“…BMD is the main method of diagnosing osteoporosis and predicting the risk of fracture [ 1 ]. BMD measurement depends on the accuracy of bone segmentation in dual-energy X-ray images.…”

Section: Discussionmentioning

confidence: 99%

“…Osteoporosis is a chronic skeletal disease that is caused by bone loss and can harm bone health and increase the risk of fracture [ 1 ]. Osteoporosis has a high incidence rate among middle-aged and elderly people, especially women [ 2 , 3 ].…”

Section: Introductionmentioning

confidence: 99%

Deep learning approach for automatic segmentation of ulna and radius in dual-energy X-ray imaging

et al. 2021

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Background Segmentation of the ulna and radius is a crucial step for the measurement of bone mineral density (BMD) in dual-energy X-ray imaging in patients suspected of having osteoporosis. Purpose This work aimed to propose a deep learning approach for the accurate automatic segmentation of the ulna and radius in dual-energy X-ray imaging. Methods and materials We developed a deep learning model with residual block (Resblock) for the segmentation of the ulna and radius. Three hundred and sixty subjects were included in the study, and five-fold cross-validation was used to evaluate the performance of the proposed network. The Dice coefficient and Jaccard index were calculated to evaluate the results of segmentation in this study. Results The proposed network model had a better segmentation performance than the previous deep learning-based methods with respect to the automatic segmentation of the ulna and radius. The evaluation results suggested that the average Dice coefficients of the ulna and radius were 0.9835 and 0.9874, with average Jaccard indexes of 0.9680 and 0.9751, respectively. Conclusion The deep learning-based method developed in this study improved the segmentation performance of the ulna and radius in dual-energy X-ray imaging.

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“…The Trab.vBMD values (mg/cm 3 ) of L2–4 were recorded and analyzed, respectively, and the average was calculated [ 14 ]. The osteoporosis and low bone mass were defined according to the latest Chinese expert consensus on the diagnosis of osteoporosis of vBMD > 80 mg/cm 3 and 80 to 120 mg/cm 3 [ 15 ].…”

Section: Methodsmentioning

confidence: 99%

The Association of Lumbar Disc Herniation with Lumbar Volumetric Bone Mineral Density in a Cross-Sectional Chinese Study

Geng

Wang

et al. 2021

Diagnostics

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Little is known about the effect of lumbar intervertebral disc herniation (LDH) on lumbar bone mineral density (BMD), and few previous studies have used quantitative computed tomography (QCT) to assess whether the staging of LDH correlates with lumbar vertebral trabecular volumetric bone mineral density (Trab.vBMD). To explore the relationship between lumbar Trab.vBMD and LDH, seven hundred and fifty-four healthy participants aged 20–60 years were enrolled in the study from an ongoing study on the degeneration of the spine and knee between June 2014 and 2017. QCT was used to measure L2–4 Trab.vBMD and lumbar spine magnetic resonance images (MRI) were performed to assess the incidence of disc herniation. After 9 exclusions, a total of 322 men and 423 women remained. The men and women were divided into younger (age 20–39 years) and older (age 40–60 years) groups and further into those without LDH, with a single LDH segment, and with ≥2 segments. Covariance analysis was used to adjust for the effects of age, BMI, waistline, and hipline on the relationship between Trab.vBMD and LDH. Forty-one younger men (25.0%) and 59 older men (37.3%) had at least one LDH segment. Amongst the women, the numbers were 46 (22.5%) and 80 (36.4%), respectively. Although there were differences in the characteristics data between men and women, the difference in Trab.vBMD between those without LDH and those with single and ≥2 segments was not statistically significant (p > 0.05). These results remained not statistically significant after further adjusting for covariates (p > 0.05). No associations between lumbar disc herniation and vertebral trabecular volumetric bone mineral density were observed in either men or women.

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Chinese expert consensus on the diagnosis of osteoporosis by imaging and bone mineral density

Cited by 49 publications

References 33 publications

The Relationship between Body Composition and Bone Mineral Density of Female Workers in A Unit of Tai’an

The Relationship between Body Composition and Bone Mineral Density of Female Workers in A Unit of Tai’an

Deep learning approach for automatic segmentation of ulna and radius in dual-energy X-ray imaging

The Association of Lumbar Disc Herniation with Lumbar Volumetric Bone Mineral Density in a Cross-Sectional Chinese Study

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