Literature DB >> 32021011

How will digitalisation affect patient treatment in arthroplasty? Part I: Intraoperative aspects.

Heiko Graichen1,1,2,1, Kreangsak Lekkreusuwan1,2,1, Wolfgang Scior1.   

Abstract

We cannot deny that technology has become an important part of our daily life, not only in automobiles, houses or cellphones but also in hospitals. In the OR, in particular for knee arthroplasty, image free navigation has proven to reduce the number of outliers and by that the revision rate in younger patients. Over the last years robotics has again been introduced into the operation theatres. However, in their present version they add time and costs, but only minimal benefits to the procedure. Therefore, future robots should be faster and instrumentation free. Beside those more economical aspects, the goal of this digital technology must be an improvement in clinical outcome. To achieve that, additional steps for analyzing the pre-, and intra-OP quantitative data is key. With the use of artificial intelligence and/or machine learning a data based algorithm will probably be developed, which helps the surgeon to integrate all parameters into his individual cutting and releasing plan for each patient. Digital data therefore, might become the key to enable the surgeon to treat patients more individual and by that hopefully deliver better outcome.
© 2019 Published by Elsevier B.V. on behalf of Professor P K Surendran Memorial Education Foundation.

Entities:  

Year:  2019        PMID: 32021011      PMCID: PMC6994398          DOI: 10.1016/j.jor.2019.12.013

Source DB:  PubMed          Journal:  J Orthop        ISSN: 0972-978X


  22 in total

1.  Computer navigation for total knee arthroplasty reduces revision rate for patients less than sixty-five years of age.

Authors:  Richard N de Steiger; Yen-Liang Liu; Stephen E Graves
Journal:  J Bone Joint Surg Am       Date:  2015-04-15       Impact factor: 5.284

2.  Coronal alignment correlates with outcome after total knee arthroplasty: five-year follow-up of a randomized controlled trial.

Authors:  Nathaniel F R Huang; Michelle M Dowsey; Eric Ee; James D Stoney; Sina Babazadeh; Peter F Choong
Journal:  J Arthroplasty       Date:  2012-08-03       Impact factor: 4.757

Review 3.  Dynamic soft tissue balancing in total knee arthroplasty.

Authors:  Martin Roche; Leah Elson; Christopher Anderson
Journal:  Orthop Clin North Am       Date:  2014-01-07       Impact factor: 2.472

4.  Mechanical, Anatomical, and Kinematic Axis in TKA: Concepts and Practical Applications.

Authors:  Jeffrey J Cherian; Bhaveen H Kapadia; Samik Banerjee; Julio J Jauregui; Kimona Issa; Michael A Mont
Journal:  Curr Rev Musculoskelet Med       Date:  2014-06

5.  Influence of intentional femoral component flexion in navigated TKA on gap balance and sagittal anatomy.

Authors:  J Roßkopf; P K Singh; P Wolf; M Strauch; H Graichen
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2013-10-26       Impact factor: 4.342

Review 6.  Systematic review of patient-specific instrumentation in total knee arthroplasty: new but not improved.

Authors:  Adam Sassoon; Denis Nam; Ryan Nunley; Robert Barrack
Journal:  Clin Orthop Relat Res       Date:  2015-01       Impact factor: 4.176

Review 7.  Gap balancing vs. measured resection technique in total knee arthroplasty.

Authors:  Brian K Daines; Douglas A Dennis
Journal:  Clin Orthop Surg       Date:  2014-02-14

Review 8.  Patient-specific instrumentation in total knee arthroplasty. Should we adopt it?

Authors:  Ana Sofia Teles Rodrigues; Manuel António Pereira Gutierres
Journal:  Rev Bras Ortop       Date:  2016-09-15

Review 9.  Current concepts for aligning knee implants: patient-specific or systematic?

Authors:  Charles Rivière; Stefan Lazic; Oliver Boughton; Yann Wiart; Loic Vïllet; Justin Cobb
Journal:  EFORT Open Rev       Date:  2018-01-08

10.  Gap difference in navigated TKA: a measure of the imbalanced flexion-extension gap.

Authors:  Zi-Yang Chia; Hee-Nee Pang; Mann-Hong Tan; Seng-Jin Yeo
Journal:  SICOT J       Date:  2018-07-13
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