In Silico Clinical Trials in the Orthopedic Device Industry: From Fantasy to Reality?

被引:20
作者
Favre, Philippe [1 ]
Maquer, Ghislain [2 ]
Henderson, Adam [2 ]
Hertig, Daniel [2 ]
Ciric, Daniel [2 ]
Bischoff, Jeffrey E. [3 ]
机构
[1] Zimmer Biomet, Zahlerweg 4, CH-6300 Zug, Switzerland
[2] Zimmer Biomet, Sulzerallee 8, CH-8404 Winterthur, Switzerland
[3] Zimmer Biomet, 1800 West Ctr St, Warsaw, IN 46580 USA
关键词
Virtual clinical trials; Modeling and simulation; Orthopedics; Regulatory submission; Clinical application; Finite element; TOTAL HIP-ARTHROPLASTY; FINITE-ELEMENT-ANALYSIS; SHAPE; STABILITY; VITRO; VIVO;
D O I
10.1007/s10439-021-02787-y
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The orthopedic device industry relies heavily on clinical evaluation to confirm the safety, performance, and clinical benefits of its implants. Limited sample size often prevents these studies from capturing the full spectrum of patient variability and real-life implant use. The device industry is accustomed to simulating benchtop tests with numerical methods and recent developments now enable virtual "in silico clinical trials" (ISCT). In this article, we describe how the advancement of computer modeling has naturally led to ISCT; outline the potential benefits of ISCT to patients, healthcare systems, manufacturers, and regulators; and identify how hurdles associated with ISCT may be overcome. In particular, we highlight a process for defining the relevant patient risks to address with ISCT, the utility of a versatile software pipeline, the necessity to ensure model credibility, and the goal of limiting regulatory uncertainty. By complementing-not replacing-traditional clinical trials with computational evidence, ISCT provides a viable technical and regulatory strategy for characterizing the full spectrum of patients, clinical conditions, and configurations that are embodied in contemporary orthopedic implant systems.
引用
收藏
页码:3213 / 3226
页数:14
相关论文
共 47 条
[1]   Computational efficient method for assessing the influence of surgical variability on primary stability of a contemporary femoral stem in a cohort of subjects [J].
Al-Dirini, Rami M. A. ;
Martelli, Saulo ;
Taylor, Mark .
BIOMECHANICS AND MODELING IN MECHANOBIOLOGY, 2020, 19 (04) :1283-1295
[2]   Virtual trial to evaluate the robustness of cementless femoral stems to patient and surgical variation [J].
Al-Dirini, Rami M. A. ;
Martelli, Saulo ;
O'Rourke, Dermot ;
Huff, Daniel ;
Zhang, Ju ;
Clement, John G. ;
Besier, Thor ;
Taylor, Mark .
JOURNAL OF BIOMECHANICS, 2019, 82 :346-356
[3]   Evaluating the primary stability of standard vs lateralised cementless femoral stems - A finite element study using a diverse patient cohort [J].
Al-Dirini, Rami M. A. ;
Martelli, Saulo ;
Huff, Daniel ;
Zhang, Ju ;
Clement, John G. ;
Besier, Thor ;
Taylor, Mark .
CLINICAL BIOMECHANICS, 2018, 59 :101-109
[4]   Combining shape and intensity dxa-based statistical approaches for osteoporotic HIP fracture risk assessment [J].
Aldieri, Alessandra ;
Terzini, Mara ;
Audenino, Alberto L. ;
Bignardi, Cristina ;
Morbiducci, Umberto .
COMPUTERS IN BIOLOGY AND MEDICINE, 2020, 127
[5]   Computational framework for population-based evaluation of TKR-implanted patellofemoral joint mechanics [J].
Ali, Azhar A. ;
Clary, Chadd W. ;
Smoger, Lowell M. ;
Dennis, Douglas A. ;
Fitzpatrick, Clare K. ;
Rullkoetter, Paul J. ;
Laz, Peter J. .
BIOMECHANICS AND MODELING IN MECHANOBIOLOGY, 2020, 19 (04) :1309-1317
[6]  
[Anonymous], 2016, ASTMF183908
[7]  
[Anonymous], Hip, Knee, and Shoulder Arthroplasty 2022 Annual Report
[8]  
[Anonymous], 2018, ASMEVV40
[9]  
[Anonymous], 2016, ISO 13485:2016
[10]  
[Anonymous], 2019, F333419 ASTM