Literature DB >> 26120064

Total knee arthroplasty using patient-specific guides: Is there a learning curve?

Jason Chinnappa1, Darren B Chen2, Ian A Harris3, Samuel J MacDessi4.   

Abstract

BACKGROUND: Patient specific guides (PSG) have been reported to improve overall component alignment in total knee arthroplasty (TKA). With more surgeons likely to consider this method of TKA in the future, this study was performed to establish whether there is a learning curve with use of PSG in TKA.
METHODS: Eighty-six consecutive PSG TKAs performed by one surgeon were retrospectively analyzed in two groups. The first 30 patients were compared to the second 56 patients with regards to their operative times and post-operative multi-planar alignments on computed tomography (CT) scan.
RESULTS: Mean operative time was higher in the initial 30 cases compared to the second 56 cases (85 min vs. 78 min; p=0.001). No statistically significant differences were found in post-operative TKA alignment between the two groups.
CONCLUSIONS: This study suggests that there is a minimal learning curve with operative time associated with use of PSG in TKA. This study was unable to detect a significant learning curve with regards to restoration of mechanical knee alignment with the use of PSG in TKA.
Copyright © 2015. Published by Elsevier B.V.

Entities:  

Keywords:  Alignment; Knee arthroplasty; Learning curve; Patient-specific guides; Surgery

Mesh:

Year:  2015        PMID: 26120064     DOI: 10.1016/j.knee.2015.03.002

Source DB:  PubMed          Journal:  Knee        ISSN: 0968-0160            Impact factor:   2.199


  7 in total

1.  A double-blind randomized controlled trial of total knee replacement using patient-specific cutting block instrumentation versus standard instrumentation

Authors:  Thomas R. Turgeon; Brett Cameron; Colin D. Burnell; David R. Hedden; Eric R. Bohm
Journal:  Can J Surg       Date:  2019-12-01       Impact factor: 2.089

2.  Survivorship and relative risk of revision in computer-navigated versus conventional total knee replacement at 8-year follow-up.

Authors:  Gro S Dyrhovden; Anne M Fenstad; Ove Furnes; Øystein Gøthesen
Journal:  Acta Orthop       Date:  2016-10-24       Impact factor: 3.717

Review 3.  3D-printing techniques in a medical setting: a systematic literature review.

Authors:  Philip Tack; Jan Victor; Paul Gemmel; Lieven Annemans
Journal:  Biomed Eng Online       Date:  2016-10-21       Impact factor: 2.819

4.  Clinical outcomes and patient satisfaction after total knee arthroplasty: a follow-up of the first 50 cases by a single surgeon.

Authors:  Jacob A West; Travis Scudday; Scott Anderson; Nirav H Amin
Journal:  J Int Med Res       Date:  2019-03-12       Impact factor: 1.671

5.  Postoperative mechanical alignment analysis of total knee replacement patients operated with 3D printed patient specific instruments: A Prospective Cohort Study.

Authors:  Halil Can Gemalmaz; Kerim Sarıyılmaz; Okan Ozkunt; Mustafa Sungur; Ibrahim Kaya; Fatih Dikici
Journal:  Acta Orthop Traumatol Turc       Date:  2019-03-08       Impact factor: 1.511

6.  The learning curve in robotic assisted knee arthroplasty is flattened by the presence of a surgeon experienced with robotic assisted surgery.

Authors:  Clemens Schopper; Philipp Proier; Matthias Luger; Tobias Gotterbarm; Antonio Klasan
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2022-07-21       Impact factor: 4.114

7.  How 3D patient-specific instruments improve accuracy of pelvic bone tumour resection in a cadaveric study.

Authors:  A Sallent; M Vicente; M M Reverté; A Lopez; A Rodríguez-Baeza; M Pérez-Domínguez; R Velez
Journal:  Bone Joint Res       Date:  2017-10       Impact factor: 5.853

  7 in total

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