Literature DB >> 15022804

Comparison of preoperative templating with postoperative assessment in cementless total hip arthroplasty.

Kuen Tak Suh1, Sang Jin Cheon, Dae Woong Kim.   

Abstract

We studied how preoperative templating corresponded to the postoperative leg length in total hip arthroplasty. On average, the preoperative predictive value of the desired corrective change in leg length was +4.9 (+4.0-+6.7) mm, while the true postoperative assessed value of the corrective change in leg length was +4.7 (+4.0-+6.3) mm. On preoperative radiographs, the ratio of the horizontal offset of a pathological side to a normal side was 95%, on average, and it increased to 96%, on average, after an operation. Preoperatively planned sizes of the acetabular cup and the femoral stem by templating showed a high rate of coincidence with the sizes used intraoperatively. In conclusion, an accurate and careful preoperative templating can result in a balanced hip reconstruction by correcting the leg length differences and restoring the offsets.

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Mesh:

Year:  2004        PMID: 15022804     DOI: 10.1080/00016470410001708070

Source DB:  PubMed          Journal:  Acta Orthop Scand        ISSN: 0001-6470


  16 in total

1.  [Implant position of total hip arthroplasty shafts. Establishment of a new method for comparison between planned and achieved shaft positions].

Authors:  A Fottner; A Steinbrück; E Volkmer; F Haasters; F Mazoochian; V Jansson
Journal:  Orthopade       Date:  2012-07       Impact factor: 1.087

2.  Preoperative radiographic assessment of limb-length discrepancy in total hip arthroplasty.

Authors:  Geert Meermans; Ahmad Malik; Johan Witt; Fares Haddad
Journal:  Clin Orthop Relat Res       Date:  2010-09-29       Impact factor: 4.176

3.  Validity and reliability of preoperative templating in total hip arthroplasty using a digital templating system.

Authors:  Ari Bertz; Kari Indrekvam; Mohamed Ahmed; Erling Englund; Arkan S Sayed-Noor
Journal:  Skeletal Radiol       Date:  2012-05-16       Impact factor: 2.199

4.  Preoperative digital planning versus postoperative outcomes in total hip arthroplasty using a calcar-guided short stem: frequent valgization can be avoided.

Authors:  Karl Philipp Kutzner; Joachim Pfeil; Mark Predrag Kovacevic
Journal:  Eur J Orthop Surg Traumatol       Date:  2017-04-08

5.  Significance of proximal femoral computed tomography scanning in the prediction of femoral prosthesis before total hip arthroplasty.

Authors:  Yizhong Li; Jinkuang Lin; Jing Zhang; Jianlong Li; Xuedong Yao; Huafeng Zhuang; Yanjun Zeng
Journal:  Eur J Orthop Surg Traumatol       Date:  2012-01-29

6.  The accuracy of digital templating: a comparison of short-stem total hip arthroplasty and conventional total hip arthroplasty.

Authors:  Florian Schmidutz; Arnd Steinbrück; Lorenz Wanke-Jellinek; Matthias Pietschmann; Volkmar Jansson; Andreas Fottner
Journal:  Int Orthop       Date:  2012-04-04       Impact factor: 3.075

7.  [Templating and radiological outcome monitoring for elective total hip arthroplasty. Applied quality management principles for safe patient care].

Authors:  S Kirschner; C Hamann; S Handreka; K P Günther; A Hartmann
Journal:  Unfallchirurg       Date:  2011-09       Impact factor: 1.000

8.  Acetate templating on digital images is more accurate than computer-based templating for total hip arthroplasty.

Authors:  Robert Petretta; Jason Strelzow; Nicholas E Ohly; Peter Misur; Bassam A Masri
Journal:  Clin Orthop Relat Res       Date:  2015-12       Impact factor: 4.176

9.  To what extent does leg length discrepancy impair motor activity in patients after total hip arthroplasty?

Authors:  Maria Grazia Benedetti; Fabio Catani; Emanuela Benedetti; Lisa Berti; Annalisa Di Gioia; Sandro Giannini
Journal:  Int Orthop       Date:  2009-09-18       Impact factor: 3.075

10.  Use of Acetate Templates Over Digital Radiographs for Templating in Total Hip Arthroplasty: Technique and Its Validation.

Authors:  Tarun Goyal; Siddharth S Sethy; Sajid Ansari; Lakshmana Das; Souvik Paul
Journal:  Indian J Orthop       Date:  2020-11-03       Impact factor: 1.251

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