CLASSIFICATION FOR KNEE JOINT BONES DEFECTS IN PATIENTS WITH CONTRINDICATIONS TO ARTHROPLASTY
There are many classifications of long bone defects. Some of them are designed from the external fixation background standpoint with the aim to define a particular Ilizarov technique. Another group of classifications is aimed at determining the tactics of reconstructive surgery for segmental defects...
Main Authors: | , , |
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Format: | Article |
Language: | Russian |
Published: |
Vreden Russian Research Institute of Traumatology and Orthopedics
2018-04-01
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Series: | Travmatologiâ i Ortopediâ Rossii |
Subjects: | |
Online Access: | https://journal.rniito.org/jour/article/view/938 |
Summary: | There are many classifications of long bone defects. Some of them are designed from the external fixation background standpoint with the aim to define a particular Ilizarov technique. Another group of classifications is aimed at determining the tactics of reconstructive surgery for segmental defects of long bones. However, combinations of defects at articular ends are not considered. AORI classification (and the analogs) is intended to address issues related to arthroplasty and it does not consider diaphyseal defects.The aim of the present study was to develop a functional classification for the knee joint bone defects (KJBD) for cases when there are contraindications to arthroplasty.For this purpose the authors analyzed knee joint x-rays of 71 patients with KJBD and contraindications to arthroplasty. Defects extent, shape and anatomical localization in tibia and femur were evaluated.Results. This allowed to identify 4 types of defects depending on the location and size. We determined four types of defects, depending on its location and severity: I — epiphyseal, II — epimetaphyseal, III — local epimetaphyophyseal, IV — extensive epimetaphyophyseal.Conclusion. In contrast to other classifications the proposed one takes into consideration the combination of defects in femur and tibia when it is impossible to perform the arthroplasy and is designed to develop an algorithm for treating this group of patients. |
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ISSN: | 2311-2905 2542-0933 |