Clinical evaluation of the operation planning system KasOp using the “phantom”—new aspects of pre- and intraoperative computer-assisted surgery

Abstract Background Computer-assisted three-dimensional (3D) planning is increasingly delegated to biomedical engineers. So far, the described fracture reduction approaches rely strongly on the performance of the users. The goal of our study was to analyze the influence of the two different professional backgrounds (technical and medical) and skill levels regarding the reliability of the proposed planning method. Finally, a new fragment displacement measurement method was introduced due to the lack of consistent methods in the literature. Methods 3D bone models of 20 distal radius fractures were presented to nine raters with different educational backgrounds (medical and technical) and various levels of experience in 3D operation planning (0 to 10 years) and clinical experience (1.5 to 24 years). Each rater was asked to perform the fracture reduction on 3D planning software. Results No difference was demonstrated in reduction accuracy regarding rotational (p = 1.000) and translational (p = 0.263) misalignment of the fragments between biomedical engineers and senior orthopedic residents. However, a significantly more accurate planning was performed in these two groups compared with junior orthopedic residents with less clinical experience and no 3D planning experience (p < 0.05). Conclusion Experience in 3D operation planning and clinical experience are relevant factors to plan an intra-articular fragment reduction of the distal radius. However, no difference was observed regarding the educational background (medical vs. technical) between biomedical engineers and senior orthopedic residents. Therefore, our results support the further development of computer-assisted surgery planning by biomedical engineers. Additionally, the introduced fragment displacement measure proves to be a feasible and reliable method. Level of Evidence Diagnostic Level II

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Early Clinical Evaluation of a Computer Assisted Planning System for Deep Brain Surgeries: 1 Year of Clinical Assistance

Information Processing in Computer-Assisted Interventions - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13711-2_18 ◽

2010 ◽

pp. 190-199 ◽

Cited By ~ 1

Author(s):

Pierre-François D’Haese ◽

Rui Li ◽

Srivatsan Pallavaram ◽

Todd Shanks ◽

Peter Zahos ◽

...

Keyword(s):

Clinical Evaluation ◽

Planning System ◽

Computer Assisted ◽

Deep Brain

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Knowledge Acquisition and Construction of a RDF-Ontology for Computer-Assisted Surgery

Studies in Health Technology and Informatics - Public Health and Informatics ◽

10.3233/shti210113 ◽

2021 ◽

Author(s):

Niclas Hagen ◽

Reinald Kühle ◽

Frederic Weichel ◽

Urs Eisenmann ◽

Petra Knaup-Gregori ◽

...

Keyword(s):

Knowledge Acquisition ◽

Maxillofacial Surgery ◽

Computer Assisted Surgery ◽

Mandibular Reconstruction ◽

University Hospital ◽

Planning System ◽

Oral And Maxillofacial Surgery ◽

Computer Assisted ◽

Planning Systems ◽

Virtual Planning

The integration of surgical knowledge into virtual planning systems plays a key role in computer-assisted surgery. The knowledge is often implicitly contained in the implemented algorithms. However, a strict separation would be desirable for reasons of maintainability, reusability and readability. Along with the Department of Oral and Maxillofacial Surgery at Heidelberg University Hospital, we are working on the development of a virtual planning system for mandibular reconstruction. In this work we describe a process for the structured acquisition and representation of surgical knowledge for mandibular reconstruction. Based on the acquired knowledge, an RDF(S) ontology was created. The ontology is connected to the virtual planning system via a SPARQL interface. The described process of knowledge acquisition can be transferred to other surgical use cases. Furthermore, the developed ontology is characterised by a reusable and easily expandable data model.

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INVESTIGATION OF THE ESSENTIALS FOR INTEGRATING OFF-THE-SHELF INDUSTRIAL ROBOTICS IN PRECISE COMPUTER-ASSISTED SURGERY

Journal of Mechanics in Medicine and Biology ◽

10.1142/s0219519411004289 ◽

2011 ◽

Vol 11 (05) ◽

pp. 1113-1123 ◽

Cited By ~ 4

Author(s):

HONGLIANG REN ◽

MAX Q.-H. MENG

Keyword(s):

Robotic Surgery ◽

Surgical Planning ◽

Computer Assisted Surgery ◽

Industrial Robots ◽

Guidance System ◽

Planning System ◽

Computer Assisted ◽

Industrial Robotics ◽

Good Repeatability ◽

Surgical Operations

Off-the-shelf industrial robotic technologies have achieved significant advancements in the past several decades in terms of mechanics and automation performances. We are expecting to take advantage of the industrial robots for assisting surgeons in surgeries and quick prototyping a robotic surgery system. In precise computer-assisted surgeries (CASs), such as pelvic-acetabular surgery, eye surgery, or neurosurgery, it is extremely important to position the tools accurately and precisely for surgical operations. Some of the industrial robotics arms are able to achieve good repeatability and dexterity while positioning the surgical tools. To enable the application of industrial robots in the surgical rooms, there are several other essential modules to be integrated to the robotic surgery systems, such as real-time navigation system, surgical planning system, and surgeon-guidance system. In this paper, we review the existing studies on the medical robots including the ones using industrial robots, and then investigate the essentials for using industrial robots in computer-integrated surgery.

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