Computer Assisted Orthopaedic Surgery With Image Based Individual Templates

Radermacher, Klaus; Portheine, F.; Anton, Mathias; Zimolong, Andreas; Kaspers, Gertjan J. L.; G, Rau; Hw, Staudte

doi:10.1097/00003086-199809000-00005

Cited by 243 publications

(112 citation statements)

References 8 publications

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“…Hart et al evaluated the accuracy of conventional and computer-assisted femoral component implantation in surface arthroplasty by analysing standard radiographs. Obviously, The navigation system is preferable to conventional orientation [17][18][19][20]. Similar theoretical and experimental evidence regarding the benefit of computerassisted navigation have also been reported [21,22].…”

Section: Discussionmentioning

confidence: 52%

Use of patient-specific templates in hip resurfacing arthroplasty: experience from sixteen cases

Tian

et al. 2013

International Orthopaedics (SICOT)

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Purpose Hip resurfacing arthroplasty (HRA) is a technically demanding operation, requiring both accuracy and precision in placement of the acetabular and femoral components. Malalignment of the component can lead to notching and possible femoral neck fractures. We used specific templates created using a rapid prototyping machine based on the patients' anatomy, to aid in accurate intraoperative pin placement. Methods A 3D model of the hip was reconstructed using spiral computed tomography (CT) data by Amira 3.1 software in 16 patients in whom HRA was planned for hip osteoarthritis (OA). All of the patients in the study had normal contralateral hips. The rotational centre of femoral head on the normal side was superimposed using Imageware12.0 software to determine the centre of the femoral head on the contralateral side. The data was then used to produce patient-specific templates using a rapid prototyping technique. These templates were designed according to the anatomical features of femoral head surface, the rotation centre and the planned prosthesis shaft angle. The orientation of the prosthesis was determined by matching the model to the femoral head surface during the operation. In addition, a control group of 18 patients with OA was operated upon by the conventional method. Results The mean prosthesis stem shaft angle (SSA), as determined from postoperative imaging, was 138.68±8.85°f or the locating template group, and (118.9±12.8) for the conventional group. Conclusions The locating template designed and constructed preoperatively can provide precise and dependable location for hip resurfacing femoral components during arthroplasty and ensure the valgus stem placement necessary for optimal outcomes.

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Section: Discussionmentioning

confidence: 52%

Use of patient-specific templates in hip resurfacing arthroplasty: experience from sixteen cases

Tian

et al. 2013

International Orthopaedics (SICOT)

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“…However, the exact position of standard instruments relative to patient anatomy was not defined, and had to be adapted intraoperatively in order to reproduce the planning as well as possible. As opposed to standard instruments, patient-specific guides, or templates/jigs, started to be developed in the late nineties (Birnbaum et al 2001, Radermacher et al 1998. These surgical guides generally possess a surface that exactly fits a patient's anatomical surface, e.g.…”

Section: Patient-specific Surgical Guidesmentioning

confidence: 99%

“…Patient-specific surgical guides for orthopedic applications were initially developed for spine surgeries and pelvic osteotomies (Radermacher et al 1998). Since then, the number of applications has grown drastically, both in academic and industrial environments.…”

Section: Patient-specific Surgical Guidesmentioning

confidence: 99%

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Patient-Specific Modelling in Orthopedics: From Image to Surgery

Gomes

Cauter

Beule

et al. 2012

Biomedical Imaging and Computational Modeling in Biomechanics

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In orthopedic surgery, to decide upon intervention and how it can be optimized, surgeons usually rely on subjective analysis of medical images of the patient, obtained from computed tomography, magnetic resonance imaging, ultrasound or other techniques. Recent advancements in computational performance, image analysis and in silico modeling techniques have started to revolutionize clinical practice through the development of quantitative tools, including patient-specific models aiming at improving clinical diagnosis and surgical treatment. Anatomical and surgical landmarks as well as features extraction can be automated allowing for the creation of general or patient-specific models based on statistical shape models. Preoperative virtual planning and rapid prototyping tools allow the implementation of customized surgical solutions in real clinical environments. In the present chapter we discuss the applications of some of these techniques in orthopedics and present new computer-aided tools that can take us from image analysis to customized surgical treatment.

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“…The surgical plan indicates the position and orientation of each plug's harvest location and delivery location. The surgeon follows the plan using optically tracked surgical instruments or patient-specific instrument guides [8].…”

Section: Introductionmentioning

confidence: 99%

Automated Planning of Computer Assisted Mosaic Arthroplasty

Inoue

Kunz

Hurtig

et al. 2011

Lecture Notes in Computer Science

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Abstract. We describe and evaluate a computer algorithm that automatically develops a surgical plan for computer assisted mosaic arthroplasty, a technically demanding procedure in which a set of osteochondral plugs are transplanted from a non-load-bearing area of the joint to the site of a cartilage defect. We found that the algorithm produced plans that were at least as good as a human expert, had less variability, and took less time.

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Computer Assisted Orthopaedic Surgery With Image Based Individual Templates

Cited by 243 publications

References 8 publications

Use of patient-specific templates in hip resurfacing arthroplasty: experience from sixteen cases

Use of patient-specific templates in hip resurfacing arthroplasty: experience from sixteen cases

Patient-Specific Modelling in Orthopedics: From Image to Surgery

Automated Planning of Computer Assisted Mosaic Arthroplasty

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