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Piccinini M, Cugnoni J, Botsis J, Ammann P, Wiskott A. Numerical prediction of peri-implant bone adaptation: Comparison of mechanical stimuli and sensitivity to modeling parameters. Med Eng Phys 2016; 38:1348-1359. [DOI: 10.1016/j.medengphy.2016.08.008] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2015] [Revised: 08/05/2016] [Accepted: 08/30/2016] [Indexed: 11/27/2022]
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Piccinini M, Cugnoni J, Botsis J, Ammann P, Wiskott A. Peri-implant bone adaptations to overloading in rat tibiae: experimental investigations and numerical predictions. Clin Oral Implants Res 2016; 27:1444-1453. [DOI: 10.1111/clr.12760] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/07/2015] [Indexed: 11/29/2022]
Affiliation(s)
- Marco Piccinini
- Laboratory of applied mechanics and reliability analysis; École Polytechnique Fédérale de Lausanne; Lausanne Switzerland
| | - Joel Cugnoni
- Laboratory of applied mechanics and reliability analysis; École Polytechnique Fédérale de Lausanne; Lausanne Switzerland
| | - John Botsis
- Laboratory of applied mechanics and reliability analysis; École Polytechnique Fédérale de Lausanne; Lausanne Switzerland
| | - Patrick Ammann
- Division of bone diseases; Department of internal medicine specialities; Geneva University Hospitals and Faculty of Medicine; Geneva Switzerland
| | - Anselm Wiskott
- Division of fixed prosthodontics and biomaterials; University Clinics of Dental Medicine; University of Geneva; Geneva Switzerland
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Huang H, Xiang C, Zeng C, Ouyang H, Wong KKL, Huang W. Patient-specific geometrical modeling of orthopedic structures with high efficiency and accuracy for finite element modeling and 3D printing. AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE 2015; 38:743-53. [PMID: 26577713 DOI: 10.1007/s13246-015-0402-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2014] [Accepted: 11/05/2015] [Indexed: 11/30/2022]
Abstract
We improved the geometrical modeling procedure for fast and accurate reconstruction of orthopedic structures. This procedure consists of medical image segmentation, three-dimensional geometrical reconstruction, and assignment of material properties. The patient-specific orthopedic structures reconstructed by this improved procedure can be used in the virtual surgical planning, 3D printing of real orthopedic structures and finite element analysis. A conventional modeling consists of: image segmentation, geometrical reconstruction, mesh generation, and assignment of material properties. The present study modified the conventional method to enhance software operating procedures. Patient's CT images of different bones were acquired and subsequently reconstructed to give models. The reconstruction procedures were three-dimensional image segmentation, modification of the edge length and quantity of meshes, and the assignment of material properties according to the intensity of gravy value. We compared the performance of our procedures to the conventional procedures modeling in terms of software operating time, success rate and mesh quality. Our proposed framework has the following improvements in the geometrical modeling: (1) processing time: (femur: 87.16 ± 5.90 %; pelvis: 80.16 ± 7.67 %; thoracic vertebra: 17.81 ± 4.36 %; P < 0.05); (2) least volume reduction (femur: 0.26 ± 0.06 %; pelvis: 0.70 ± 0.47, thoracic vertebra: 3.70 ± 1.75 %; P < 0.01) and (3) mesh quality in terms of aspect ratio (femur: 8.00 ± 7.38 %; pelvis: 17.70 ± 9.82 %; thoracic vertebra: 13.93 ± 9.79 %; P < 0.05) and maximum angle (femur: 4.90 ± 5.28 %; pelvis: 17.20 ± 19.29 %; thoracic vertebra: 3.86 ± 3.82 %; P < 0.05). Our proposed patient-specific geometrical modeling requires less operating time and workload, but the orthopedic structures were generated at a higher rate of success as compared with the conventional method. It is expected to benefit the surgical planning of orthopedic structures with less operating time and high accuracy of modeling.
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Affiliation(s)
- Huajun Huang
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics · Guangdong Province), Guangzhou, 510630, China.
| | - Chunling Xiang
- Department of Orthopedics and Traumatology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Canjun Zeng
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics · Guangdong Province), Guangzhou, 510630, China.,Department of Anatomy, Guangdong Provincial Key Laboratory of Medical Biomechanics, School of Basic Medical Sciences, Southern Medical University, North-1838, Guangzhou, 510515, China
| | - Hanbin Ouyang
- Department of Anatomy, Guangdong Provincial Key Laboratory of Medical Biomechanics, School of Basic Medical Sciences, Southern Medical University, North-1838, Guangzhou, 510515, China
| | - Kelvin Kian Loong Wong
- Engineering Computational Biology, School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6000, Australia
| | - Wenhua Huang
- Department of Anatomy, Guangdong Provincial Key Laboratory of Medical Biomechanics, School of Basic Medical Sciences, Southern Medical University, North-1838, Guangzhou, 510515, China.
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External mechanical microstimuli modulate the osseointegration of titanium implants in rat tibiae. BIOMED RESEARCH INTERNATIONAL 2013; 2013:234093. [PMID: 24369009 PMCID: PMC3866820 DOI: 10.1155/2013/234093] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2013] [Revised: 10/28/2013] [Accepted: 10/28/2013] [Indexed: 11/24/2022]
Abstract
Purpose. To assess the effect of external mechanical microstimuli of controlled magnitude on the microarchitecture of the peri-implant bone beds in rat tibiae. Materials and Methods. Tibiae of forty rats were fitted with two transcutaneous titanium cylinders. After healing, the implants were loaded to 1 to 3 N, five days/week for four weeks. These force levels translated into intraosseous strains of 700 ± 200 με, 1400 ± 400 με, and 2100 ± 600 με. After sacrifice, the implants' pullout strength was assessed. Second, the bone's microarchitecture was analyzed by microcomputed tomography (μCT) in three discrete regions of interest (ROIs). Third, the effect of loading on bone material properties was determined by nanoindentation. Results. The trabecular BV/TV significantly increased in an ROI of 0.98 mm away from the test implant in the 1 N versus the 3 N group with an opposite trend for cortical thickness. Pull-out strength significantly increased in the 2 N relatively to the nonstimulated group. Higher values of E-modulus and hardness were observed in the trabecular bone of the 2 N group. Conclusion. The in vivo mechanical loading of implants induces load-dependent modifications in bone microarchitecture and bone material properties in rat tibiae. In pull-out strength measurements, implant osseointegration was maximized at 2 N (1400 ± 400 με).
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