Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/20694
Title: Characterization of knee joint Osteoarthritis Deformities using CT Scanogram
Other Titles: توصيف تشوهات التهاب مفصل الركبة باستخدام الاشعة المقطعية
Authors: ALI, MUDAWEI IZZALDIN MUDAWEI
Supervisor, -Ikhlas Abdul-Aziz Hassan
Keywords: Medical Radiologic Sciences
knee joint Osteoarthritis
Deformities using CT Scanogram
Diagnostic Radiologic
Issue Date: 18-Mar-2018
Publisher: Sudan University of Science and Technology
Citation: ALI, MUDAWEI IZZALDIN MUDAWEI . Characterization of knee joint Osteoarthritis Deformities using CT Scanogram \ MUDAWEI IZZALDIN MUDAWEI ALI ; Ikhlas Abdul-Aziz Hassan .- Khartoum :Sudan University of Science and Technology , Medical Radiologic Science,2018 .- 58p : ill ;28 cm .- M.Sc
Abstract: Osteoarthritis (OA) is a disease of the entire joint involving the cartilage, joint lining, ligaments, and underlying bone. The breakdown of these tissues eventually leads to pain and joint stiffness.Varus and valgus malalignment of knee is risk factor for predicator of function decline in people with osteoarthritis. general objective of this study was To characterize the knee Osteoarthritis deformities by using CT Scanogram,specific objective were to measure HKA angle to judge in varus and valgus, correlate effected side (right or left) ,correlate deformities with age and to correlate deformities with gender. CT scanogram were use in this study. This study has found that varus deformities is more prevalence between men than women,The percentage of varus deformities in right is male with frequency26 percent 52% than female with frequency 23percent 46%,And the left knee deformities with frequency 24 percent 48% in male and female . The varus deformities in right and left knee has higher frequency In male the varus deformities,valgus are most common in female in both side Age group (70-80) has higher frequency 13 percent 26% as result of DJD
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/20694
Appears in Collections:Masters Dissertations : Medical Radiologic Science

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