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Personalized Assessment of Bone Health

A healthy, bone-based technology for personalized assessment of bone health

Active Publication Date: 2018-09-07
SIEMENS HEALTHCARE GMBH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The main disadvantage of FEA is that it requires at least several hours to perform a detailed analysis, which may represent too large a time frame for routine clinical workflow

Method used

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Examples

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Embodiment Construction

[0067] The following disclosure describes the invention in terms of several embodiments directed to methods, systems and devices related to personalized assessment of bone health. This technique is described herein using an example for osteoporosis; however, it should be understood that the disclosed technique may also be applied generally to the assessment of other skeletal health conditions.

[0068] The techniques described herein refer to the use of machine learning (ML) algorithms to predict metrics of interest related to osteoporosis: presence / severity of osteoporosis / osteopenia; fracture risk ( fractions, percentages); biomechanical properties of interest, as usually extracted from finite element analysis: total bone strength, load-strength ratio, expected fracture type, local / mean stress, local / mean strain, local / global stiffness; effects of drug treatment, e.g. increase in bone strength over time; disease evolution, e.g. decrease in bone strength over time. The pred...

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Abstract

A computer-implemented method for personalized assessment of a subject's bone health includes extracting a plurality of features of interest from non-invasive subject data, medical images of the subject, and subject-specific bone turnover marker values. A surrogate model and the plurality of features of interest are used to predict one or more subject-specific measures of interest related to bonehealth. Then, a visualization of the one or more subject-specific measures of interest related to bone health is generated.

Description

technical field [0001] The present invention generally relates to methods, systems and devices for personalized assessment of bone health. The disclosed techniques can be applied, for example, to predict metrics of interest related to osteoporosis, such as the presence / severity of osteoporosis / osteopenia, fracture risk, and biomechanical properties of interest ( measure). Background technique [0002] Osteoporosis is a bone disease that results in loss of bone mass and reduced bone strength (characterized by density and mass), and thus leads to an increased risk of fractures. Bone loss usually occurs due to estrogen deficiency in postmenopausal women or due to other age-related mechanisms (eg, secondary hyperparathyroidism, reduced mechanical load, etc.). Since effective medical treatments are available, it is critical to correctly diagnose the onset of osteoporosis so that the risk of future fractures is minimized. [0003] Approximately 22.1% of the female population an...

Claims

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Application Information

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IPC IPC(8): A61B5/00A61B5/145A61B6/00A61B6/03A61B5/055A61B8/08
CPCA61B5/055A61B5/14546A61B5/4504A61B6/00A61B6/032A61B6/505A61B8/0875A61B5/1072A61B8/5223G16H30/40G16H50/20G16H50/30G16H50/50G06N20/20G16H10/60G06N20/00
Inventor L.M.伊图C.F.丘斯德尔P.沙尔马
Owner SIEMENS HEALTHCARE GMBH
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