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Automated extraction of biplanar stereo-radiographic image measurements: Mizzou 3D SPinE

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Abstract

Purpose

Although several studies have reported on the application of biplanar stereo-radiographic technology in pediatric clinical practice, few have performed large-scale analyses. The manual extraction of these types of data is time-consuming, which often precludes physicians and scientists from effectively utilizing these valuable measurements. To fill the critical gap between clinical assessments and large-scale evidence-based research, we have addressed one of the primary hurdles in using data derived from these types of imaging modalities in pediatric clinical practice by developing an application to automatically transcribe and aggregate three-dimensional measurements in a manner that facilitates statistical analyses.

Methods

Mizzou 3D SPinE was developed using R software; the application, instructions, and process were beta tested with four separate testers. We compared 1309 manually compiled three-dimensional deformity measurements derived from thirty-five biplanar three-dimensional reconstructions (image sets) from ten pediatric patients to those derived from Mizzou 3D SPinE. We assessed the difference between manually entered values and extracted values using a Fisher’s exact test.

Results

Mizzou 3D SPinE significantly reduced the duration of data entry (95.8%) while retaining 100% accuracy. Manually compiled data resulted in an error rate of 1.58%, however, the magnitude of errors ranged from 5.97 to 2681.82% significantly increased the transcription accuracy (p value < 0.0001) while also significantly reducing transcription time (0.33 vs. 8.08 min).

Conclusion

Mizzou 3D SPinE is an essential component in improving evidence-based patient care by allowing clinicians and scientists to quickly compile three-dimensional data at regular intervals in an automated, efficient manner without transcription errors.

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Data availability

Example data used in Mizzou 3D SPinE tutorial videos is provided on the GitHub site (https://github.com/Mizzou-3d-Spine/Mizzou-3d-Spine). Data used to determine error rates are not available as participant consent (minor assent) did not include the request or consent for their data to be shared publicly.

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Acknowledgements

We would like to thank Samuel Hawkins, Vladislav Husyev, Anita Husyeva, and Nicole Tweedy, PNP for their participation in beta testing Mizzou 3D SPinE. Their feedback resulted in meaningful changes to the information presented herein as well as on GitHub.

Funding

The authors thank the Missouri Orthopaedic Institute and the Thompson Laboratory for Regenerative Orthopaedics for their support of funding, equipment, and space for this project. The study sponsors had no involvement in the study design, collection, analysis, and interpretation of data.

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Authors and Affiliations

  1. Department of Orthopaedic Surgery, School of Medicine, University of Missouri, 1100 Virginia Ave, Columbia, MO, 65201, USA

    Jinpu Li, Melanie E. Boeyer, Daniel G. Hoernschemeyer & Emily Leary

  2. Thompson Laboratory for Regenerative Orthopaedics, University of Missouri, Columbia, MO, USA

    Jinpu Li & Emily Leary

Authors
  1. Jinpu Li
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  2. Melanie E. Boeyer
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Contributions

JL, MEB, DGH, EL: Substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data for the work; JL, MEB, DGH, EL: Drafting the work or revising it critically for important intellectual content; JL, MEB, DGH, EL: Final approval of the version to be published; JL, MEB, DGH, EL: Agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Corresponding author

Correspondence to Emily Leary.

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Conflict of interest

JL: None. EL: Journal of ISAKOS—paid editor, editorial board; Journal of Knee Surgery—non-paid editor, editorial board; Measurement: Measurement: Interdisciplinary Research and Perspectives—non-paid editor, editorial board; EVLVE Analytics and Consulting, LLC—Consultant. MEB: Zimmer Biomet—Consultant and Research Funds. DGH: Zimmer Biomet—Research Funds; Biomarin—Paid Presenter or Speaker and Research Support; Orthopediatrics: IP Royalties, Paid Consultant, Stock or Stock Options.

Ethical approval

IRB approval for this project was approved by the University of Missouri IRB#2008745 and the authors certify that the study was performed in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki and its later amendments.

Informed consent

All activities are IRB approved (#2008745) by the University of Missouri IRB.

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Li, J., Boeyer, M.E., Hoernschemeyer, D.G. et al. Automated extraction of biplanar stereo-radiographic image measurements: Mizzou 3D SPinE. Spine Deform 12, 119–124 (2024). https://doi.org/10.1007/s43390-023-00761-3

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  • DOI: https://doi.org/10.1007/s43390-023-00761-3

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