Design and Implementation of a Portable Digital Scoliometer

Casallas, Esperanza Camargo; Malagón, Johan; Hurtado, Francisco

doi:10.1007/978-3-319-13117-7_29

Cited by 1 publication

(1 citation statement)

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“…Despite this, the concept and use of the scoliometer has remained relatively unchanged since its invention, with only minimal effort invested into its digitisation and automation. While the development of digital scoliometer devices 23–26 and smartphone apps 18,22,27,28 has reduced the measurement variabilities associated with the interpretation of scale-limited, parallax-prone analog readings, the clinical translation of such devices has been limited. Furthermore, remote measurement of the ATR is still not possible as even digital scoliometers and smartphones need to be positioned directly on the patient.…”

Section: Introductionmentioning

confidence: 99%

Development and validation of a digital twin for the analog scoliometer

Suresh,

Stubbs,

Amiri

et al. 2023

Preprint

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Scoliosis is a complex 3D spine deformity characterised by an abnormal lateral curvature of the spine and associated rotation of the spine and ribcage. The rotational aspect of scoliosis is most commonly quantified in the Adam’s forward flexed position using an analog scoliometer. The scoliometer has a known user error of 5-8°, which is largely dependent on examiner experience, location of curve, patient positioning and BMI. The device is also limited by the 30° scale and parallax errors. Additionally, the scoliometer loses accuracy when the patient’s torso cannot be positioned parallel to the ground . This study describes the development of the first digital twin for the analog scoliometer to enable fast, gravity-independent reliable and accurate digital measurements of the Angle of Torso Rotation (ATR) from patient-specific 3D virtual models.A robust semi-automated algorithm of generative design which measures ATR from surface topography was developed. With an operating time of just a few seconds, it provides quick and reliable ATR measurements from simple parametric user inputs. 150 calibrated 3D virtual models of AIS patients treated at the Queensland Children’s Hospital Spine Clinic (QCHSC) obtained from our existing database of 3D surface scans (3DSS) and healthy non-scoliotic controls recruited for this study were used to validate the digital scoliometer tool.The tool showed excellent reliability in both intra-user (0.99) and inter-user (0.98) conditions. The digital values had a high positive correlation (0.897) and agreement (92.7%) with the analog ATR measurements made clinically. The tool also showed high sensitivity (95.83%) and specificity (76.76%). The development and validation of this virtual digital tool is significant for telehealth implementation in paediatric spine deformity management and is expected to enhance the remote health management of scoliosis.

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