osteoporosis: how the virtual physiological human can help...
TRANSCRIPT
Osteoporosis: how the
virtual physiologicalhuman can help in
fighting a pandemia
By Marco VicecontiProject Coordinator
Copyright © 2008-2012 VPHOP Consortium - All right reserved 2
Why Osteoporosis?
30 to 50% of all women and 15 to 30%of all men will face an osteoporotic
fracture in their lifetime
Osteoporosis is becoming pandemic
But …. It is a chronic disease. Nobodydies of osteoporosis, right?
WRONG!!
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Osteoporosis is a killer
• OP fractures kill as many women as breast cancer.
• 4,000,000 fractures every year cost Europe!30,000,000,000.
• 250,000 elders will dies of related complicationswithin 12 month; all others will remain impaired.
• Forecast to double by 2050.
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Not enough technology
• The technology in current clinicalpractice is clearly insufficient.
• The accuracy in predicting fracturesis as low as 60%.
• Even if we see the drugs are notworking we wait for the fracture,and only then surgically fix it.
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OP fracture is multiscale
• Body musculoskeletal anatomy and neuromotorcontrol define the daily loading spectrum, whichincludes paraphysiological overloading events
• Fracture events occur at Organ level
• Tissue morphology defines the bone elasticity
• The Cell activity changes the tissue morphologyand composition over time
• The Constituent of the extracellular matrix arethe prime determinants of the tissue strength
© 2007 STEP Consortium
Virtual Physiological Human
is a methodological andtechnological framework thatonce established will enable
the investigation of the humanbody as a single complex
system
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Organ-level
model
Cell-level
modelConstituent-level
model
Tissue-level
model
The Hypermodel:primary systemic relationships
Body-level
model
Boundary
Conditions
Bone
Rem
odellin
g
Failure
Criterion
Constitutive
Equation
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BioSpace EOS plus
Screening
Musculoskeletal model3D skeletal
anatomy
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Neuromotor condition
Skeletal Loading historySLC Actibelt plus
Weekly recording
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Risk of fracture
GEOMETRY and
DENSITY
?
FE MODEL RISK OF FRACTURE
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Site at highest risk
Patient Tissue Imaging Tissue Morphology
DatabasePatient Specific Tissue
Structure
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Predicting evolution over time
HORMONE-BASEDSIMULATION
CELL-BASEDSIMULATION
IN VIVO FRACTUREPREDICTION
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Constituent level /2
Augmentation TechnologyAugmentation Technology
Biomaterial
Distribution
Biomaterial
DistributionRheological PropertiesRheological Properties
Flow SimulationFlow Simulation
Bone / Biomaterial
Constituents Interaction
Bone / Biomaterial
Constituents Interaction
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From models to Hypermodels
Boundaryconditions
Constitu
tive
equati
on
FailurecriterionBone
remodell
ing
HYPERMODEL
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Disclaimer
• VPHOP is a project co-funded by the European CommissionSeventh FRAMEWORK PROGRAMME
• The research reported upon in this presentation has eitherdirectly or indirectly been supported by the EuropeanCommission, Directorate General Information Society andMedia, Brussels.
• The results, analyses and conclusions derived there fromreflect solely the views of its authors and of the presenter.
• The European Community is not liable for any use that maybe made of the information contained therein.