Literature DB >> 26990712

Preoperative Planning in Primary Total Knee Arthroplasty.

Michael Tanzer1, Asim M Makhdom.   

Abstract

Preoperative planning is of paramount importance in primary total knee arthroplasty. A thorough preoperative analysis helps the surgeon envision the operation, anticipate any potential issues, and minimize the risk of premature implant failure. Obtaining a thorough history is critical for appropriate patient selection. The physical examination should evaluate the integrity of the soft tissues, the neurovascular status, range of motion, limb deformity, and the status of the collateral ligaments to help determine the soft-tissue balancing and constraint strategy required. Standard radiographs, with a known magnification, should be obtained for preoperative total knee arthroplasty templating. Routine standing AP, lateral, and skyline radiographs of the knee can help the surgeon plan the bone cuts and tibial slope as well as the implant size and position at the time of surgery. In certain circumstances, such as severe coronal deformities, bone deficiencies, and/or extra-articular deformities, additional measures are frequently necessary to successfully reconstruct the knee. Constrained implants, metal augments, and bone graft must be part of the surgeon's armamentarium.

Entities:  

Mesh:

Year:  2016        PMID: 26990712     DOI: 10.5435/JAAOS-D-14-00332

Source DB:  PubMed          Journal:  J Am Acad Orthop Surg        ISSN: 1067-151X            Impact factor:   3.020


  16 in total

1.  After-hour elective total knee arthroplasty does not affect clinical outcomes but negatively affects alignment.

Authors:  Yuesheng Tu; Yanhong Ning; Kangxian Li; Zhijie Pan; Jiajun Xie; Sheng Yang; Yang Zhang
Journal:  Arch Orthop Trauma Surg       Date:  2022-05-25       Impact factor: 3.067

Review 2.  Total knee arthroplasty in the varus knee: tips and tricks.

Authors:  Roberto Rossi; Umberto Cottino; Matteo Bruzzone; Federico Dettoni; Davide Edoardo Bonasia; Federica Rosso
Journal:  Int Orthop       Date:  2018-08-23       Impact factor: 3.075

Review 3.  Preoperative physical examination and imaging of femoroacetabular impingement prior to hip arthroscopy-a systematic review.

Authors:  Chloe E Haldane; Seper Ekhtiari; Darren de Sa; Nicole Simunovic; Olufemi R Ayeni
Journal:  J Hip Preserv Surg       Date:  2017-06-15

4.  Extra-articular deformities in arthritic knees-a grueling challenge for arthroplasty surgeons: An evidence-based update.

Authors:  Vishesh Khanna; Senthil N Sambandam; Munis Ashraf; Varatharaj Mounasamy
Journal:  Orthop Rev (Pavia)       Date:  2018-02-26

5.  Optimization of parameters for femoral component implantation during TKA using finite element analysis and orthogonal array testing.

Authors:  Zhifang Mou; Wanpeng Dong; Zhen Zhang; Aohan Wang; Guanghong Hu; Bing Wang; Yuefu Dong
Journal:  J Orthop Surg Res       Date:  2018-07-20       Impact factor: 2.359

6.  An optimization method for implantation parameters of individualized TKA tibial prosthesis based on finite element analysis and orthogonal experimental design.

Authors:  Yuefu Dong; Zhen Zhang; Wanpeng Dong; Guanghong Hu; Bing Wang; Zhifang Mou
Journal:  BMC Musculoskelet Disord       Date:  2020-03-12       Impact factor: 2.362

7.  Machine Learning Predicts Femoral and Tibial Implant Size Mismatch for Total Knee Arthroplasty.

Authors:  Evan M Polce; Kyle N Kunze; Katlynn M Paul; Brett R Levine
Journal:  Arthroplast Today       Date:  2021-02-26

Review 8.  A Protocol to Systematic Radiographic Assessment of Primary Total Knee Arthroplasty.

Authors:  Ahmed A Khalifa; Arun B Mullaji; Alaa M Mostafa; Osama A Farouk
Journal:  Orthop Res Rev       Date:  2021-07-17

9.  Agreement in component size between preoperative measurement, navigation and final implant in total knee replacement.

Authors:  Daniel Hernández-Vaquero; Alfonso Noriega-Fernandez; Sergio Roncero-Gonzalez; Ivan Perez-Coto; Andres A Sierra-Pereira; Manuel A Sandoval-Garcia
Journal:  J Orthop Translat       Date:  2018-11-22       Impact factor: 5.191

10.  Deep Learning Predicts Total Knee Replacement from Magnetic Resonance Images.

Authors:  Aniket A Tolpadi; Jinhee J Lee; Valentina Pedoia; Sharmila Majumdar
Journal:  Sci Rep       Date:  2020-04-14       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.