Literature DB >> 28589561

Computer-assisted Orthopaedic Surgery.

David Hernandez1, Roja Garimella1, Adam E M Eltorai1, Alan H Daniels1.   

Abstract

Nowadays, operating rooms can be inefficient and overcrowded. Patient data and images are at times not well integrated and displayed in a timely fashion. This lack of coordination may cause further reductions in efficiency, jeopardize patient safety, and increase costs. Fortunately, technology has much to offer the surgical disciplines and the ongoing and recent operating room innovations have advanced preoperative planning and surgical procedures by providing visual, navigational, and mechanical computerized assistance. The field of computer-assisted surgery (CAS) broadly refers to surgical interface between surgeons and machines. It is also part of the ongoing initiatives to move away from invasive to less invasive or even noninvasive procedures. CAS can be applied preoperatively, intraoperatively, and/or postoperatively to improve the outcome of orthopaedic surgical procedures as it has the potential for greater precision, control, and flexibility in carrying out surgical tasks, and enables much better visualization of the operating field than conventional methods have afforded. CAS is an active research discipline, which brings together orthopaedic practitioners with traditional technical disciplines such as engineering, computer science, and robotics. However, to achieve the best outcomes, teamwork, open communication, and willingness to adapt and adopt new skills and processes are critical. Because of the relatively short time period over which CAS has developed, long-term follow-up studies have not yet been possible. Consequently, this review aims to outline current CAS applications, limitations, and promising future developments that will continue to impact the operating room (OR) environment and the OR in the future, particularly within orthopedic and spine surgery.
© 2017 Chinese Orthopaedic Association and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  Computer-assistance; Orthopaedic surgery; Spine surgery

Mesh:

Year:  2017        PMID: 28589561      PMCID: PMC6584434          DOI: 10.1111/os.12323

Source DB:  PubMed          Journal:  Orthop Surg        ISSN: 1757-7853            Impact factor:   2.071


  39 in total

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Journal:  Eur Spine J       Date:  2000-02       Impact factor: 3.134

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Journal:  J Orthop Sci       Date:  2003       Impact factor: 1.601

Review 4.  Computer-assisted orthopaedic surgery: do we need CAOS?

Authors:  J M Sikorski; S Chauhan
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Journal:  Ann Surg       Date:  2004-01       Impact factor: 12.969

6.  Positioning of total knee arthroplasty with and without navigation support. A prospective, randomised study.

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Journal:  J Bone Joint Surg Br       Date:  2003-08

7.  Comparative results between conventional and computer-assisted pedicle screw installation in the thoracic, lumbar, and sacral spine.

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Journal:  Spine (Phila Pa 1976)       Date:  2000-03-01       Impact factor: 3.468

8.  Computer assisted orthopaedic and trauma surgery. State of the art and future perspectives.

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9.  Surgical treatment of limb-length discrepancy following total hip arthroplasty.

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10.  A prospective analysis of 211 robotic-assisted surgical procedures.

Authors:  M A Talamini; S Chapman; S Horgan; W S Melvin
Journal:  Surg Endosc       Date:  2003-08-15       Impact factor: 4.584

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  17 in total

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Review 4.  Self-learning computers for surgical planning and prediction of postoperative alignment.

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5.  Influence of multi-angle input of intraoperative fluoroscopic images on the spatial positioning accuracy of the C-arm calibration-based algorithm of a CAOS system.

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6.  Application of electromagnetic navigation in endoscopic transforaminal lumbar interbody fusion: a cohort study.

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7.  Robot-assisted treatment of unstable pelvic fractures with a percutaneous iliac lumbar double rod fixation combined with a percutaneous pelvic anterior ring INFIX fixation.

Authors:  Wei Du; Tao Sun; Yan Ding; Chuanqiang Jiang; Wenqing Qu; Shudong Zhang
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8.  Utility of an image fusion system for 3D preoperative planning and fluoroscopy in the osteosynthesis of distal radius fractures.

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9.  Surgery guided by mixed reality: presentation of a proof of concept.

Authors:  Thomas M Gregory; Jules Gregory; John Sledge; Romain Allard; Olivier Mir
Journal:  Acta Orthop       Date:  2018-10       Impact factor: 3.717

10.  Using the Starr Frame and Da Vinci surgery system for pelvic fracture and sacral nerve injury.

Authors:  Ye Peng; Wei Zhang; Gongzi Zhang; Xiang Wang; Shuwei Zhang; Xin Ma; Peifu Tang; Lihai Zhang
Journal:  J Orthop Surg Res       Date:  2019-01-25       Impact factor: 2.359

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