Yousi Oquendo, Ian Hollyer, Clayton Maschhoff, Christian Calderon, Malcolm DeBaun, Joanna Langner, Nadine Javier, Xochitl Bryson, Ann Richey, Hiba Naz, Kali Tileston, Michael Gardner, John S Vorhies
{"title":"基于移动设备的3D扫描在评估青少年特发性脊柱侧凸方面优于脊柱侧凸计。","authors":"Yousi Oquendo, Ian Hollyer, Clayton Maschhoff, Christian Calderon, Malcolm DeBaun, Joanna Langner, Nadine Javier, Xochitl Bryson, Ann Richey, Hiba Naz, Kali Tileston, Michael Gardner, John S Vorhies","doi":"10.1007/s43390-024-01007-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Screening for adolescent idiopathic scoliosis (AIS) currently relies on clinical evaluations by trained practitioners, most commonly using a scoliometer. Modern structured light 3D scanning can generate high-quality 3D representations of surface anatomy using a mobile device. We hypothesized that a mobile-based 3D scanning system would provide accurate deformity assessments compared to a scoliometer.</p><p><strong>Methods: </strong>Between August 2020 and June 2022, patients 10-18 years being evaluated for AIS in our clinic with a scoliosis radiograph obtained within 30 days of clinic evaluation and no history of spinal surgery were enrolled. Patients had 3D scans taken in the upright and forward bend positions, and the largest angle of trunk rotation (ATR) was measured by a scoliometer. Image processing software was used to analyze trunk shift (TS), coronal balance (CB), and clavicle angle (CL) in the upright position and the largest ATR in the forward bend position. 3D and scoliometer measurements were correlated to major curve magnitude. Multiple logistic regression models were created based on 3D and scoliometer measurements, controlling for demographic covariates.</p><p><strong>Results: </strong>Two hundred and fifty-eight patients were included in this study. Mean coronal major curve magnitude was 25.7° (range 0-100), and 59% had a thoracic major curve. There were good-to-excellent correlations between 3D and radiographic measures of TS, CB, and CL (r = 0.79, rs = 0.80, and r = 0.64, respectively, p < 0.001). Correlations between 3D and radiographic measures of largest lumbar and thoracic ATR also demonstrated good correlations (r = 0.64 for both, p < 0.001). Using Akaike's Information Criterion (AIC), a multivariable logistic regression model based on 3D scanning outperformed a scoliometer model.</p><p><strong>Conclusions: </strong>Mobile device-based 3D scanning of TS, CB, and TS identifies clinically relevant scoliotic deformity and is more predictive of radiographic curve magnitude than scoliometer in this population. This new modality may facilitate scoliosis screening by decreasing the need for trained personnel or dedicated equipment and clinical space to perform screening tests.</p><p><strong>Level of evidence: </strong>II.</p>","PeriodicalId":21796,"journal":{"name":"Spine deformity","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mobile device-based 3D scanning is superior to scoliometer in assessment of adolescent idiopathic scoliosis.\",\"authors\":\"Yousi Oquendo, Ian Hollyer, Clayton Maschhoff, Christian Calderon, Malcolm DeBaun, Joanna Langner, Nadine Javier, Xochitl Bryson, Ann Richey, Hiba Naz, Kali Tileston, Michael Gardner, John S Vorhies\",\"doi\":\"10.1007/s43390-024-01007-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Screening for adolescent idiopathic scoliosis (AIS) currently relies on clinical evaluations by trained practitioners, most commonly using a scoliometer. Modern structured light 3D scanning can generate high-quality 3D representations of surface anatomy using a mobile device. We hypothesized that a mobile-based 3D scanning system would provide accurate deformity assessments compared to a scoliometer.</p><p><strong>Methods: </strong>Between August 2020 and June 2022, patients 10-18 years being evaluated for AIS in our clinic with a scoliosis radiograph obtained within 30 days of clinic evaluation and no history of spinal surgery were enrolled. Patients had 3D scans taken in the upright and forward bend positions, and the largest angle of trunk rotation (ATR) was measured by a scoliometer. Image processing software was used to analyze trunk shift (TS), coronal balance (CB), and clavicle angle (CL) in the upright position and the largest ATR in the forward bend position. 3D and scoliometer measurements were correlated to major curve magnitude. Multiple logistic regression models were created based on 3D and scoliometer measurements, controlling for demographic covariates.</p><p><strong>Results: </strong>Two hundred and fifty-eight patients were included in this study. Mean coronal major curve magnitude was 25.7° (range 0-100), and 59% had a thoracic major curve. There were good-to-excellent correlations between 3D and radiographic measures of TS, CB, and CL (r = 0.79, rs = 0.80, and r = 0.64, respectively, p < 0.001). Correlations between 3D and radiographic measures of largest lumbar and thoracic ATR also demonstrated good correlations (r = 0.64 for both, p < 0.001). Using Akaike's Information Criterion (AIC), a multivariable logistic regression model based on 3D scanning outperformed a scoliometer model.</p><p><strong>Conclusions: </strong>Mobile device-based 3D scanning of TS, CB, and TS identifies clinically relevant scoliotic deformity and is more predictive of radiographic curve magnitude than scoliometer in this population. This new modality may facilitate scoliosis screening by decreasing the need for trained personnel or dedicated equipment and clinical space to perform screening tests.</p><p><strong>Level of evidence: </strong>II.</p>\",\"PeriodicalId\":21796,\"journal\":{\"name\":\"Spine deformity\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Spine deformity\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s43390-024-01007-6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spine deformity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s43390-024-01007-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Mobile device-based 3D scanning is superior to scoliometer in assessment of adolescent idiopathic scoliosis.
Purpose: Screening for adolescent idiopathic scoliosis (AIS) currently relies on clinical evaluations by trained practitioners, most commonly using a scoliometer. Modern structured light 3D scanning can generate high-quality 3D representations of surface anatomy using a mobile device. We hypothesized that a mobile-based 3D scanning system would provide accurate deformity assessments compared to a scoliometer.
Methods: Between August 2020 and June 2022, patients 10-18 years being evaluated for AIS in our clinic with a scoliosis radiograph obtained within 30 days of clinic evaluation and no history of spinal surgery were enrolled. Patients had 3D scans taken in the upright and forward bend positions, and the largest angle of trunk rotation (ATR) was measured by a scoliometer. Image processing software was used to analyze trunk shift (TS), coronal balance (CB), and clavicle angle (CL) in the upright position and the largest ATR in the forward bend position. 3D and scoliometer measurements were correlated to major curve magnitude. Multiple logistic regression models were created based on 3D and scoliometer measurements, controlling for demographic covariates.
Results: Two hundred and fifty-eight patients were included in this study. Mean coronal major curve magnitude was 25.7° (range 0-100), and 59% had a thoracic major curve. There were good-to-excellent correlations between 3D and radiographic measures of TS, CB, and CL (r = 0.79, rs = 0.80, and r = 0.64, respectively, p < 0.001). Correlations between 3D and radiographic measures of largest lumbar and thoracic ATR also demonstrated good correlations (r = 0.64 for both, p < 0.001). Using Akaike's Information Criterion (AIC), a multivariable logistic regression model based on 3D scanning outperformed a scoliometer model.
Conclusions: Mobile device-based 3D scanning of TS, CB, and TS identifies clinically relevant scoliotic deformity and is more predictive of radiographic curve magnitude than scoliometer in this population. This new modality may facilitate scoliosis screening by decreasing the need for trained personnel or dedicated equipment and clinical space to perform screening tests.
期刊介绍：
Spine Deformity the official journal of the?Scoliosis Research Society is a peer-refereed publication to disseminate knowledge on basic science and clinical research into the?etiology?biomechanics?treatment?methods and outcomes of all types of?spinal deformities. The international members of the Editorial Board provide a worldwide perspective for the journal's area of interest.The?journal?will enhance the mission of the Society which is to foster the optimal care of all patients with?spine?deformities worldwide. Articles published in?Spine Deformity?are Medline indexed in PubMed.? The journal publishes original articles in the form of clinical and basic research. Spine Deformity will only publish studies that have institutional review board (IRB) or similar ethics committee approval for human and animal studies and have strictly observed these guidelines. The minimum follow-up period for follow-up clinical studies is 24 months.
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