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Evaluation of soft tissue prediction accuracy for orthognathic surgery with skeletal class III malocclusion using maxillofacial regional aesthetic units

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Abstract

Objectives

This study aimed to evaluate the soft tissue prediction accuracy of patients undergoing orthognathic surgery to correct skeletal class III malocclusion using maxillofacial regional aesthetic units.

Materials and methods

Pre- and postoperative cone-beam computed tomography (CBCT) and 3D facial scans were taken for 58 patients who had undergone orthognathic surgery. The preoperative 3D facial scan was integrated with the preoperative CBCT using ProPlan CMF software. The software simulated the surgery and generated postoperative soft tissue prediction. The simulated 3D facial scan was then compared with the actual 3D facial scan obtained at least 6 months after the surgery by the maxillofacial regional aesthetic units and the facial soft tissue landmark points.

Results

The anatomical regions of the upper lip, lower lip, chin, right external buccal and left external buccal prediction were above 2.0 mm. As for the soft tissue landmarks, at chl, chr, ls, stm and li, the position of predicted scan was higher than that of the actual postoperative scan.

Conclusions

The accuracy of 3D soft tissue predictions using ProPlan CMF software in Skeletal III patients was clinically satisfactory according to maxillofacial regional aesthetic units combined with facial soft tissue landmark points. However, the accuracy of prediction still needed improvement in some areas.

Clinical relevance

The accuracy of soft tissue prediction can be analyzed more clearly through maxillofacial regional aesthetic units so that clinicians have a deeper understanding of the use of the software to predict soft tissue change after orthognathic surgery.

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Acknowledgements

The authors offer many thanks to Dr Yang Li and Dr Wei He for permitting access to some of the patients and their records included in this study.

Funding

This study was supported by National Key Research and Development Program of China (2019YFF0302401) and the Beijing Municipal Science & Technology Commission (Z181100001718130, No. 2016–1-4103).

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Authors and Affiliations

  1. Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, No 22 Zhongguancun South Road, Beijing, 100081, People’s Republic of China

    Lei Hou, Yang He, Biao Yi, Xiaoxia Wang, Xiaojing Liu, Yi Zhang & Zili Li

Authors
  1. Lei Hou
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  2. Yang He
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  3. Biao Yi
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  6. Yi Zhang
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  7. Zili Li
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Lei Hou. The first draft of the manuscript was written by Lei Hou, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Zili Li.

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Ethics approval

All the procedure was approved by the Ethics Committee of Peking University School and Hospital of Stomatology (protocol no. PKUSSIRB-202059180) and was conducted in accordance with the relevant guidelines and regulations.

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For this type of study, formal consent is not required.

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The authors declare no competing interests.

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Hou, L., He, Y., Yi, B. et al. Evaluation of soft tissue prediction accuracy for orthognathic surgery with skeletal class III malocclusion using maxillofacial regional aesthetic units. Clin Oral Invest 27, 173–182 (2023). https://doi.org/10.1007/s00784-022-04705-5

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