Inter-rater and Intra-rater Reliability of a Mobile App Method to Measure Lumbar Lordosis
Jency Thangasheela Gnanasigamani, Vinodhkumar Ramalingam

TL;DR
This study shows that a mobile app can reliably measure lumbar lordosis angles using X-rays, offering a convenient and accurate tool for physiotherapists.
Contribution
The study introduces a mobile app method with high reliability for measuring lumbar lordosis angles in clinical settings.
Findings
The mobile app demonstrated a Karl Pearson correlation coefficient of 1.000 for inter-rater reliability.
Cronbach’s alpha of .966 confirmed strong internal consistency of the app’s measurements.
The app provides a handy and objective method for assessing lumbar lordosis in clinical practice.
Abstract
Background Measuring the exact quantitative values of lordotic curves is a vital factor in clinical settings to prevent musculoskeletal deformities in the future. Existing lordotic assessment methods are very diverse, expensive, inaccurate, and not handy, and their availability cannot be maintained in every clinic setup. Aim The purpose of this research was to study the reliability of a mobile app as a feasible method to measure lumbar lordosis angle using a lateral view radiograph. Methodology A lateral view low back region radiograph of 58 participants was taken based on the criteria, and the experienced physiotherapists uploaded the X-ray to the mobile app and measured the lordotic angles with the support of machine learning algorithms. Descriptive statistics were used to calculate the average and dispersion of the data of the lumbar lordosis angle measured using the mobile app…
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Taxonomy
TopicsScoliosis diagnosis and treatment · Spine and Intervertebral Disc Pathology · Shoulder Injury and Treatment
