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Fully Automated Bone Mineral Density Assessment from Low-dose Chest CT

机译:低剂量胸部CT的全自动骨密度评估

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A fully automated system is presented for bone mineral density (BMD) assessment from low-dose chest CT (LDCT). BMD assessment is central in the diagnosis and follow-up therapy monitoring of osteoporosis, which is characterized by low bone density and is estimated to affect 12.3 million US population aged 50 years or older, creating tremendous social and economic burdens. BMD assessment from DXA scans (BMDdxa) is currently the most widely used and gold standard technique for the diagnosis of osteoporosis and bone fracture risk estimation. With the recent large-scale implementation of annual lung cancer screening using LDCT, great potential emerges for the concurrent opportunistic osteoporosis screening. In the presented BMDct assessment system, each vertebral body is first segmented and labeled with its anatomical name. Various 3D region of interest (ROI) inside the vertebral body are then explored for BMDct measurements at different vertebral levels. The system was validated using 76 pairs of DXA and LDCT scans of the same subject. Average BMDdxa of L1-L4 was used as the reference standard. Statistically significant (p-value < 0.001) strong correlation is obtained between BMDdxa and BMDct at all vertebral levels (Tl - L2). A Pearson correlation of 0.857 was achieved between BMDdxa and average BMDct of T9-T11 by using a 3D ROI taking into account of both trabecular and cortical bone tissue. These encouraging results demonstrate the feasibility of fully automated quantitative BMD assessment and the potential of opportunistic osteoporosis screening with concurrent lung cancer screening using LDCT.
机译:为来自低剂量胸部CT(LDCT)的骨矿物密度(BMD)评估提供了全自动系统。 BMD评估是骨质疏松症的诊断和后续治疗监测中的中心,其特征在于骨密度低,估计为50岁或以上的1230万人,创造了巨大的社会和经济负担。来自DXA扫描(BMDDXA)的BMD评估是目前最广泛使用的和金牌标准技术,用于诊断骨质疏松症和骨折风险估计。随着近期使用LDCT的年肺癌筛查的大规模实施,同时机会骨质疏松症筛选出现了极大的潜力。在呈现的BMDCT评估系统中,每个椎体首先被分段并用其解剖名称标记。然后在不同椎体水平下探索椎体内部的各种兴趣区域(ROI)(ROI),用于BMDCT测量。使用同一主题的76对DXA和LDCT扫描进行验证。 L1-L4的平均BMDDXA用作参考标准。在所有椎体水平(TL - L2)的BMDDXA和BMDCT之间获得统计学显着(p值<0.001)强相关性。通过使用3D ROI考虑到小梁和皮质骨组织,在T9-T11的BMDDXA和平均BMDCT之间实现了0.857的Pearson相关性。这些令人鼓舞的结果表明,使用LDCT与同时肺癌筛选的完全自动化的BMD评估和机会骨质疏松症筛查的可行性。

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