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Validity and reliability of masseter muscles segmentation from the transverse sections of Cone-Beam CT scans compared with MRI scans

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Background

To evaluate the validity and reliability of cone-beam computed tomography (CBCT) masseter muscle segmentation by comparing with the magnetic resonance imaging (MRI) masseter muscle segmentation of the same patients.

Methods

Seventeen volunteers were included in this study. CBCT and MRI scans of the volunteers were taken, respectively, within one month. The masseter muscles in the CBCT scans were segmented by a generative adversarial network (GAN)-based framework combined with manual check. The masseter muscles in the MRI scans were segmented manually. The segmentations were repeated by the first examiner and a second examiner. For cross-sectional area (CSA), paired t-test, intraclass correlation coefficient (ICC) and standard error of measurement (SEM) were calculated to evaluate the validity and reliability of the segmentations. The validity and reliability were also calculated by Dice similarity coefficient (DSC) and average Hausdorff distance (aHD) between different segmentations.

Seventeen volunteers were included in this study. CBCT and MRI scans of the volunteers were taken, respectively, within one month. The masseter muscles in the CBCT scans were segmented by a generative adversarial network (GAN)-based framework combined with manual check. The masseter muscles in the MRI scans were segmented manually. The segmentations were repeated by the first examiner and a second examiner. For cross-sectional area (CSA), paired t-test, intraclass correlation coefficient (ICC) and standard error of measurement (SEM) were calculated to evaluate the validity and reliability of the segmentations. The validity and reliability were also calculated by Dice similarity coefficient (DSC) and average Hausdorff distance (aHD) between different segmentations.

Results

Paired t-test showed that there was no significant difference in CSA between CBCT and MRI masseter segmentations. The ICCs were all larger than 0.95 and the SEM was less than 4.85 mm2 for CSA. The DSC was all larger than 0.95 showing over 95% of similarity between CBCT and MRI masseter segmentations. The aHD was all smaller than 0.09 mm showing great consistency of the contour of CBCT and MRI segmentations.

Conclusion

Masseter muscle segmentation from CBCT scans was not significantly different from the segmentation from MRI scans. CBCT muscle segmentation showed great validity compared with MRI scans, and great reliability in retests.

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Abbreviations

CBCT:

Cone-beam computed tomography

MRI:

Magnetic resonance imaging

ICC:

Intraclass correlation coefficient

SEM:

Standard error of measurement

CSA:

Cross-sectional area

DSC:

Dice similarity coefficient

HD:

Hausdorff distance

aHD:

Average Hausdorff distance

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Acknowledgements

We thank Yungeng Zhang and Yuru Pei from Key Laboratory of Machine Perception (MOE), Department of Machine Intelligence, Peking University for the technical support in CBCT masseter muscle autosegmentation for this study.

Funding

This work was supported by the National Natural Science Foundation of China (81671034), National Natural Science Foundation of China (81200806), Beijing Natural Science Foundation (7192227) and Peking University Medicine Seed Fund for Interdisciplinary Research (BMU 2018MI013). The authors declare no conflicts of interest in this study.

Author information

Authors and Affiliations

  1. Department of Orthodontics, Peking University School and Hospital of Stomatology, 22 Zhongguancun Avenue South, Haidian District, 100081, Beijing, People’s Republic of China

    Yichen Pan, Si Chen & Tianmin Xu

  2. National Engineering Laboratory for Digital and Material Technology of Stomatology, 22 Zhongguancun Avenue South, Haidian District, 100081, Beijing, People’s Republic of China

    Yichen Pan, Si Chen & Tianmin Xu

  3. Beijing Key Laboratory of Digital Stomatology, 22 Zhongguancun Avenue South, Haidian District, Beijing, 100081, People’s Republic of China

    Yichen Pan, Si Chen & Tianmin Xu

  4. Department of Oral and Maxillofacial Radiology, Peking University School and Hospital of Stomatology, 22 Zhongguancun Avenue South, Haidian District, Beijing, 100081, People’s Republic of China

    Yinghui Wang & Gang Li

Authors
  1. Yichen Pan
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  4. Si Chen
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Contributions

SC, GL and TX designed the study together. YP, YW carried out the data collection, the measurement and remeasurements, analyzed the data and prepared the tables and figures. YP, YW and SC discussed the results and YP drafted the manuscript. SC, GL and TX critically reviewed the manuscript. All authors have read and approved the final version of the manuscript.

Corresponding authors

Correspondence to Si Chen or Tianmin Xu.

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Conflict of interests

The authors declare that they have no competing interests.

Ethics approval

The study was reviewed and approved by the Institutional Review Board of Peking University School and Hospital of Stomatology (PKUSSIRB-201944062).

Consent to participate

Written informed consent was obtained from each patient before participation in the study.

Availability of data and materials

The full datasets used and analyzed during the current study are available on reasonable request from the corresponding authors at tmxuortho@163.com and elisa02@163.com.

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Pan, Y., Wang, Y., Li, G. et al. Validity and reliability of masseter muscles segmentation from the transverse sections of Cone-Beam CT scans compared with MRI scans. Int J CARS 17, 751–759 (2022). https://doi.org/10.1007/s11548-021-02513-y

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  • DOI: https://doi.org/10.1007/s11548-021-02513-y

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