AcetabularIndex for Pc

1. By inputting the age, sex and the side of the patient in the App, the measured angle is compared with values from normal reference database (see reference) according to age, site and gender.

2. Also after measurement you have to compare the data that you measure with the normal reference values according to patient age, side and sex and decide what could be considered normal in an X-ray of the hip and what is considered pathologic.

3. The build-in comparison feature with the normal reference values according to patient age, sex and side may help decide what could be considered normal or dysplastic.

4. The acetabular index (AI) or Acetabular roof angle or Acetabular angle (AC) is the angle formed from a horizontal line (Hilgenreiner) through right and left triradiate cartilage of the acetabulum of the hip and a line drawn from the corner of the triangular cartilage and the lateral acetabular margin.

5. The results are printed on the screen and the hips are categorised as normal or mildly dysplastic or severe dysplastic according to the AI angle measured respectively.

6. In case the measured angle is beyond the normal range for that age, side and gender, the hips are categorised as mildly dysplastic or severe dysplastic.

7. One of the most frequently applied anatomic measure for the objective evaluation of hip dysplasia and description in everyday orthopaedic care is the acetabular index.

8. By the aid of a circular transparent template, the points of interest (triradiate cartilage and lateral acetabular edge please , not lateral sourcil ) are marked accurately.

9. The diagnosis of hip dysplasia, the prognosis, the evaluation of different methods of treatment is based mainly on X-rays of the hip joint.

10. Measurements of AI in X-rays is important during the decision-making process for conservative or operative treatment, and follow up particular, in Developmental Dysplasia of the hip, or planning correction-osteotomies.

11. All information received from the software output must be clinically reviewed regarding its plausibility before patient treatment! AI App is indicated for assisting healthcare professionals.

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