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Reliability of automated topographic measurements for spine deformity

PURPOSE: This study introduces a novel surface-topographic scanning system capable of automatically generating a suite of objective measurements to characterize torso shape. Research Question: what is the reliability of the proposed system for measurement of trunk alignment parameters in patients wi...

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Autores principales: Groisser, Benjamin N., Hillstrom, Howard J., Thakur, Ankush, Morse, Kyle W., Cunningham, Matthew, Hresko, M. Timothy, Kimmel, Ron, Wolf, Alon, Widmann, Roger F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9378338/
https://www.ncbi.nlm.nih.gov/pubmed/35526210
http://dx.doi.org/10.1007/s43390-022-00505-9
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author Groisser, Benjamin N.
Hillstrom, Howard J.
Thakur, Ankush
Morse, Kyle W.
Cunningham, Matthew
Hresko, M. Timothy
Kimmel, Ron
Wolf, Alon
Widmann, Roger F.
author_facet Groisser, Benjamin N.
Hillstrom, Howard J.
Thakur, Ankush
Morse, Kyle W.
Cunningham, Matthew
Hresko, M. Timothy
Kimmel, Ron
Wolf, Alon
Widmann, Roger F.
author_sort Groisser, Benjamin N.
collection PubMed
description PURPOSE: This study introduces a novel surface-topographic scanning system capable of automatically generating a suite of objective measurements to characterize torso shape. Research Question: what is the reliability of the proposed system for measurement of trunk alignment parameters in patients with adolescent idiopathic scoliosis (AIS) and controls? METHODS: Forty-six adolescents (26 with AIS and 20 controls) were recruited for a prospective reliability study. A series of angular, volumetric, and area measures were computed from topographic scans in each of three clinically relevant poses using a fully automated processing pipeline. Intraclass correlation coefficients (ICC(2,1)) were computed within (intra-) and between (inter-) raters. Measurements were also performed on a torso phantom. RESULTS: Topographic measurements computed on a phantom were highly accurate (mean RMS error 1.7%) compared with CT. For human subjects, intra- and inter-rater reliability were both high (average ICC > 0.90) with intrinsic (pose-independent) measurements having near-perfect reliability (average ICC > 0.98). CONCLUSION: The proposed system is a suitable tool for topographic analysis of AIS; topographic measurements offer an objective description of torso shape that may complement other imaging modalities. Further research is needed to compare topographic findings with gold standard imaging of spinal alignment, e.g., standing radiography. Conclusion: clinical parameters can be reliably measured in a fully automated system, paving the way for objective analysis of symmetry, body shape pre/post-surgery, and tracking of pathology without ionizing radiation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s43390-022-00505-9.
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spelling pubmed-93783382022-08-17 Reliability of automated topographic measurements for spine deformity Groisser, Benjamin N. Hillstrom, Howard J. Thakur, Ankush Morse, Kyle W. Cunningham, Matthew Hresko, M. Timothy Kimmel, Ron Wolf, Alon Widmann, Roger F. Spine Deform Case Series PURPOSE: This study introduces a novel surface-topographic scanning system capable of automatically generating a suite of objective measurements to characterize torso shape. Research Question: what is the reliability of the proposed system for measurement of trunk alignment parameters in patients with adolescent idiopathic scoliosis (AIS) and controls? METHODS: Forty-six adolescents (26 with AIS and 20 controls) were recruited for a prospective reliability study. A series of angular, volumetric, and area measures were computed from topographic scans in each of three clinically relevant poses using a fully automated processing pipeline. Intraclass correlation coefficients (ICC(2,1)) were computed within (intra-) and between (inter-) raters. Measurements were also performed on a torso phantom. RESULTS: Topographic measurements computed on a phantom were highly accurate (mean RMS error 1.7%) compared with CT. For human subjects, intra- and inter-rater reliability were both high (average ICC > 0.90) with intrinsic (pose-independent) measurements having near-perfect reliability (average ICC > 0.98). CONCLUSION: The proposed system is a suitable tool for topographic analysis of AIS; topographic measurements offer an objective description of torso shape that may complement other imaging modalities. Further research is needed to compare topographic findings with gold standard imaging of spinal alignment, e.g., standing radiography. Conclusion: clinical parameters can be reliably measured in a fully automated system, paving the way for objective analysis of symmetry, body shape pre/post-surgery, and tracking of pathology without ionizing radiation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s43390-022-00505-9. Springer International Publishing 2022-05-08 2022 /pmc/articles/PMC9378338/ /pubmed/35526210 http://dx.doi.org/10.1007/s43390-022-00505-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Case Series
Groisser, Benjamin N.
Hillstrom, Howard J.
Thakur, Ankush
Morse, Kyle W.
Cunningham, Matthew
Hresko, M. Timothy
Kimmel, Ron
Wolf, Alon
Widmann, Roger F.
Reliability of automated topographic measurements for spine deformity
title Reliability of automated topographic measurements for spine deformity
title_full Reliability of automated topographic measurements for spine deformity
title_fullStr Reliability of automated topographic measurements for spine deformity
title_full_unstemmed Reliability of automated topographic measurements for spine deformity
title_short Reliability of automated topographic measurements for spine deformity
title_sort reliability of automated topographic measurements for spine deformity
topic Case Series
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9378338/
https://www.ncbi.nlm.nih.gov/pubmed/35526210
http://dx.doi.org/10.1007/s43390-022-00505-9
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