Title |
Individualized ACL reconstruction
|
---|---|
Published in |
Knee Surgery, Sports Traumatology, Arthroscopy, March 2014
|
DOI | 10.1007/s00167-014-2928-2 |
Pubmed ID | |
Authors |
Paulo H. Araujo, Mauricio Kfuri, Bruno Ohashi, Yuichi Hoshino, Stephano Zaffagnini, Kristian Samuelsson, Jon Karlsson, Freddie Fu, Volker Musahl |
Abstract |
The pivot shift test is the only physical examination test capable of predicting knee function and osteoarthritis development after an ACL injury. However, because interpretation and performance of the pivot shift are subjective in nature, the validity of the pivot shift is criticized for not providing objective information for a complete surgical planning for the treatment of rotatory knee laxity. The aim of ACL reconstruction was eliminating the pivot shift sign. Many structures and anatomical characteristics can influence the grading of the pivot shift test and are involved in the genesis and magnitude of rotatory instability after an ACL injury. The objective quantification of the pivot shift may be able to categorize knee laxity and provide adequate information on which structures are affected besides the ACL. A new algorithm for rotational instability treatment is presented, accounting for patients' unique anatomical characteristics and objective measurement of the pivot shift sign allowing for an individualized surgical treatment. Level of evidence V. |
X Demographics
Geographical breakdown
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Luxembourg | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Brazil | 1 | 1% |
Unknown | 81 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 19 | 23% |
Student > Master | 11 | 13% |
Researcher | 7 | 9% |
Student > Postgraduate | 6 | 7% |
Lecturer | 3 | 4% |
Other | 13 | 16% |
Unknown | 23 | 28% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 31 | 38% |
Nursing and Health Professions | 9 | 11% |
Engineering | 6 | 7% |
Sports and Recreations | 4 | 5% |
Agricultural and Biological Sciences | 3 | 4% |
Other | 3 | 4% |
Unknown | 26 | 32% |