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Quasi-automatic early detection of progressive idiopathic scoliosis from biplanar radiography: a preliminary validation

Article dans une revue avec comité de lecture
Author
VERGARI, Claudio
466360 Institut de Biomecanique Humaine Georges Charpak
GAJNY, Laurent
COURTOIS, Isabelle
99538 Laboratoire de biomécanique [LBM]
EBERMEYER, Eric
99538 Laboratoire de biomécanique [LBM]
ABELIN-GENEVOIS, Kariman
690 Institut de mécanique des fluides de Toulouse [IMFT]
194495 Université Claude Bernard Lyon 1 [UCBL]
300075 CHU Toulouse [Toulouse]
353860 Centre Hospitalier Lyon Sud [CHU - HCL] [CHLS]
KIM, Youngwoo
LANGLAIS, Tristan
121163 Université Nice Sophia Antipolis - Faculté de Médecine [UNS UFR Médecine]
VIALLE, Raphaël
188248 Université Grenoble Alpes - UFR Langage, lettres et arts du spectacle, information et communication - Dpt Lettres et arts du spectacle [UGA UFR LLASIC LAS]
360410 CHU Trousseau [APHP]
462028 Service de pédiatrie orthopédique [CHU Trousseau]
462029 Service des thérapies innovantes pour les maladies musculo-squelettiques [CHU Trousseau]
ASSI, Ayman
99538 Laboratoire de biomécanique [LBM]
GHANEM, Ismat
DUBOUSSET, Jean
99538 Laboratoire de biomécanique [LBM]
464717 Chirurgie orthopédique et pédiatrique [Hôpital de la Timone - APHM]
SKALLI, Wafa
99538 Laboratoire de biomécanique [LBM]
164351 Institut de Mécanique et d'Ingénierie de Bordeaux [I2M]
466360 Institut de Biomecanique Humaine Georges Charpak

URI
http://hdl.handle.net/10985/14979
DOI
10.1007/s00586-019-05998-z
Date
2019
Journal
European Spine Journal

Abstract

Purpose To validate the predictive power and reliability of a novel quasi-automatic method to calculate the severity index of adolescent idiopathic scoliosis (AIS). Methods Fifty-five AIS patients were prospectively included (Age: 10-15, Cobb: 16° ± 4°). Patients underwent low-dose biplanar x-rays and a novel fast method for 3D reconstruction of the spine was performed. They were followed until skeletal maturity (stable patients) or brace prescription (progressive patients). The severity index was calculated at the first exam, based on 3D parameters of the scoliotic curve, and it was compared with the patient’s final outcome (progressive or stable). Three operators have repeated the 3D reconstruction twice for a subset of 30 patients to assess reproducibility (through Cohen’s kappa and intraclass correlation coefficient). Results 85% of the patients were correctly classified as stable or progressive by the severity index, with a sensitivity of 92% and specificity of 74%. Substantial intra-operator agreement and good inter-operator agreement were observed, with 80% of the progressive patients correctly detected at the first exam. The novel severity index assessment took less than 4 minutes of operator time. Conclusions The fast and semi-automatic method for 3D reconstruction developed in this work allowed for a fast and reliable calculation of the severity index. The method is fast and user friendly. Once extensively validated, this severity index could allow very early initiation of conservative treatment for progressive patients, thus increasing treatment efficacy and therefore reducing the need for corrective surgery.

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