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Medical Device Development and Entrepreneurship. Presented by: T. Kim Parnell, Ph.D., P.E. The PEC Group www.parnell-eng.com. Introduction. Overview Medical Device Development Device Startups Consulting. Medical Device Applications. Some Device Fields…. Cardiovascular Orthopaedic
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Medical Device Development and Entrepreneurship Presented by: T. Kim Parnell, Ph.D., P.E.The PEC Group www.parnell-eng.com
Introduction • Overview • Medical Device Development • Device Startups • Consulting 2
Some Device Fields… • Cardiovascular • Orthopaedic • Sleep disturbances • Vascular closure • Cosmetic • Etc. 4
Coronary Artery Disease • Stents are used as scaffolds to hold open the artery 7
Finite Element Analysis (FEA) • Design • Life prediction • FDA requirements • Can shorten the design cycle 8
FEA & Testing • Finite element analysis (FEA) and physical testing are complementary • A comprehensive program needs to include both components • With judicious experimental validation, FEA can be used to reduce the amount of physical testing that is needed and shorten the design cycle 9
The Challenge for Medical Device Development • Reduce development time • Increase confidence of success • Avoid surprises and delays 10
Prototype Development • Physical prototype • Cost and lead time is often a limitation • Essential for animal testing and determining needed characteristics • Want to reduce the number of design iterations that are prototyped • Virtual prototype • Assess more design options • Compare alternatives 11
Testing Is Essential for: • Detailed characterization of the material; Getting data needed for the analysis • Fatigue testing taking into account surface finish, processing steps • Validation 12
Stent FEA 14
Stent FEA • Rolldown Expansion 15
Stent FEA • Rolldown Expansion 16
Creative Strategies in Medical Devices510(K) vs PMA? • 510(K) • Concept of equivalence • May 28,1976 Medical Devices Amendments to the FDA • Pro’s • Speed • Lower risk • Con’s • Low barriers to entry • 510(K) with clinical trials • PMA – Pre Market Approval • Clinical trials for safety and efficacy of device • Pro’s – barriers to entry • Con’s – time, expense and risk 17
Medical Device Development • Needs Assessment • Research • Intellectual property • Biomedical ethics • Brainstorming • Assessing Clinical and Market Potential • Developing patent strategies • Prototyping 18
Value of Execution • Ref: Rich Ferrari 19
Consulting Implications • Reduced fees for equity? • Incentive • Upside potential • Need some assessment of the company • Capitalization • Burn rate 20
Resources Startups & Business • SVEBP www.siliconvalleypace.com • Stanford BUS16 continuingstudies.stanford.edu • TVC www.techventures.org • TEN www.tensv.org • Girvan Institute www.girvan.org 21
Resources (cont) Medical Device • Stanford Biodesign innovation.stanford.edu • BioDesign Network mdn.stanford.edu • NanoBioConvergence www.nanobioconvergence.org • DeviceLink www.devicelink.com/mddi • TCT www.tctmd.com • Vulnerable Plaque www.vp.org • Vascular News www.CXvascular.com 22
Summary • Many opportunities in medical devices • Entrepreneurs • Consultants • Increasingly multi-disciplinary • Technology can be applied to advantage 23
Outline of Presentation • Introduction • Simulation vs. Testing • What are the issues? • Benefits of Synergizing Simulation and Testing • Illustrations & Case Studies • Conclusions • Questions?? 25
Sensitivity by Analysis • Material • Tolerance • Variability of the body/target environment • Atypical applications 26
Validation of Model by Test • Analysis of tensile test to confirm ability to predict material behavior • Validation tests for stents might include: • Flat plate loading • Radial expansion • Radial compression 27
Example:Flat Plate Loading Using Contact Note: This “pinching” loading mode is distinct from “radial” loading 28
Are the Assumptions Satisfied? • Make adjustments/corrections as needed so that the model is predictive of the test 29
Additional Information and Insight From Analysis • Get information not available from device testing alone • Internal conditions: stress levels, degree of plasticity, residual stress, transformation fraction 30
Balloon Expandable Stent • Basic steps: • Roll-down for catheter insertion • Inflation and Deployment • Cyclic pulsation loading • Fatigue testing of full device to FDA required 400M cycles is a long process 31
Fatigue and Life Testing • Long test times for full device • Reduce testing of multiple design iterations • Get insight more quickly • Need both analysis and testing 32
Sub-specimen Stent Segment Cyclic Testing of Sub-specimen • Before fatigue testing full device, get more information in less time with sub-specimen • Higher loading frequency, reduced test time • Cycle to failure for a range of loads • Develop part-specific S/N data • Extend with analysis, develop and interpret test conditions in terms of stress & strain • Make predictions for full device 33
Stent Segment and Sub-specimen Sub-specimen Stent Segment Parnell, (2000) 34
Material Testing: Elastic/Plastic • Need more detail than basic data from manufacturer (for example, Min. Yield, Ultimate, Elongation) • Elongation is sensitive to the gage length tested • Reduction of area very useful, particularly for highly ductile materials • Need full stress/strain curve with additional data like reduction of area 35
True Stress E’ Ultimate stress D Eng. Stress Yield stress C E B Proportional limit A Linear Strain hardening Significant necking Plastic 0 Tensile Response of Elastic/Plastic Material Anderson (2002), Biomaterials Typical stress/strain curve for steels. Strains become localized when necking occurs. Standard elongation highly dependent on gage length. Measured area reduction gives correct local strain. 36
Shape Memory Material (SMA) Applications • Unique characteristics • Large recoverable strain range • Super elastic vs. Shape Memory (thermally activated) • Self-expanding devices • Conditions after partial unloading • Load predictions 37
Communi- cation Shape Memory Sports Medical Accessories clothing Home Appliance Industrial Applications Applications for Shape Memory Alloys • Materials that return to some shape upon appropriate temperature change • Applications: 38
Shape Memory Material Properties • DSC to determine transformation temperatures • Tensile test • Behavior as function of temperature • Super elastic material behavior • General features (T > Af ) • Stress-induced martensite and reverse • Shape memory (reverting to learned shape) 39
As [K] Af [K] Ms [K] Mf [K] 188 221 190 128 Transformation Temperatures Miyazaki, et.al., (1981) NiTi Response to Temperature T< Ms Shape Memory(residual strain recovered by heating) Ms <T< AfShape Memory(residual strain recovered by heating) Af <T<Tc Superelastic (SIM)(full strain recovery) T>TcPlasticity before SIM(permanent residual strain) 40
Pseudo-elastic behavior of SMA • Temperature induced phase transformation • Pseudo-elastic Stress-Strain Behavior 42
Material Testing: Shape Memory Alloy • Transformation temperatures (DSC or other) • Stress/strain tensile curve with unloading • Application may require tensile data at additional temperatures 43
Temperature Dependent Material Behavior of Shape Memory Alloys Nickel-Titanium alloys show temperature dependent material behavior. Shape memory effect (that deformed specimens, regained their original shape after a loading cycle) is observed at a certain temperature. NiTi Stent 44
Cs Cm To Input: Cm Cs To Input data for Mechanical SMA 45
Differential Scanning Calorimetry (DSC) • DSC can be used to determine transformation temperatures of shape memory materials • Heating curve:As,Af • Cooling curve:Ms,Mf • Austenite is Cubic (BCC) • Martensite is Monoclinic 46 Shaw & Kyriakides, (1995), (courtesy of M.-H. Wu )
Shape Memory Effect (SME) Shape memory effect is a consequence of a crystallographically reversible solid-solid phase transformation occurring in particular metal alloys (Ni – Ti, Cu based alloys). This transition occurs between a crystallographically more-ordered phase (called austenite) and a crystallographically less-ordered phase (martensite). 47
Vulnerable Plaque • Morphology • Tissue characteristics • Tissue properties and geometry become important in evaluating device Christensen, (2002) 49
Inverse Analysis Problem • Correlate material properties to measured behavior • Use to estimate ranges of properties for tissue • Example: estimation of vessel wall cyclic strains from cine PC-MRI data (Draney, et.al., 2002) 50