The reliability of the augmented Lehnert-Schroth and Rigo classification in scoliosis management.

Abstract

BACKGROUND:

In pattern-specific scoliosis exercises and bracing, the corrective treatment plan differs according to different curve patterns. There are a limited number of studies investigating the reliability of the commonly used classifications systems.

OBJECTIVE:

To test the reliability of the augmented Lehnert-Schroth (ALS) classification and the Rigo classification.

METHODS:

X-rays and posterior photographs of 45 patients with scoliosis were sent by the first author to three clinicians twice at 1-week intervals. The clinicians classified images according to the ALS and Rigo classifications, and the data were analysed using SPSS V-16. Intraclass correlation coefficients (ICCs) and standard error measurement (SEM) were calculated to evaluate the inter- and intra-observer reliability.

RESULTS:

The inter-observer ICC values were 0.552 (ALS), 0.452 (Rigo) for X-ray images and 0.494 (ALS), 0.518 (Rigo) for the photographs. The average intra-observer ICC value was 0.720 (ALS), 0.581 (Rigo) for the X-ray images and 0.726 (ALS) and 0.467 (Rigo) for the photographs.

CONCLUSIONS:

The results of our study indicate moderate inter-observer reliability for X-ray images using the ALS classification and clinical photographs using the Rigo classification. Intra-observer reliability was moderate to good for X-ray images and clinical photographs using the ALS classification and poor to moderate for X-ray and clinical photographs using the Rigo classification.

CLINICAL IMPLICATIONS:

Pattern classifications assist in creating a plan and indication of correction in specific scoliosis physiotherapy and pattern-specific brace applications and surgical treatment. More sub-types are needed to address the individual patterns of curvature. The optimisation of curve classification will likely reduce failures in diagnosis and treatment.

• Authors: Burçin Akçay, Tuğba Kuru Çolak, Adnan Apti, İlker Çolak, Önder Kızıltaş
• Journal: The South African journal of physiotherapy (S Afr J Physiother) Vol. 77 Issue 2 Pg. 1568 ( 2021) ISSN: 2410-8219 [Electronic] South Africa
• PMID: 34859160 (Publication Type: Journal Article)
• Copyright: © 2021. The Authors.