ArticleClinical oral investigations2025
CBCT image based radiomic analysis for condylar resorption after orthognathic surgery.
Article in Clinical oral investigations, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Quantitative computed tomography texture analysis of changes in the mandibular condyle associated with orthognathic surgery.Oral radiology · 2026Article
- CBCT-based assessment of temporomandibular joint morphology in adults with unilateral cleft lip and palate: a comparative study.BMC oral health · 2026Article
- Radiomics in Action: Multimodal Synergies for Imaging Biomarkers.Bioengineering (Basel, Switzerland) · 2025Review
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Authors and funding
6 authors.
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Abstract
objectivesTo select and discover features which are highly correlated with condylar resorption (CR) after orthognathic surgery (OS) by a new method. MATERIALS AND
methodsThe cone beam computed tomography (CBCT) images were collected from orthognathic patients taken at T1(baseline time point) and T2(within 3-36 months postoperatively). The subjects were divided into the CR group and the control group by using a 2-level scale after registering T1 and T2 images. The condyles were segmented by MVEL-Net network model and were analyzed by Pyradiomics. The D-value equaled to the absolute difference-value (D-value) between the feature values of T1 and T2. The correlation between features with statistically significant differences in T1 and D-values would be analyzed to find the specific features related to CR after OS.
resultsA total of 145 subjects were included (27 males and 118 females), which had 44 subjects in the CR group, 101 subjects in the control group. For all samples, a total of 82 features were extracted (F
conclusionsThe D-value was proposed for selecting specific features of CR after OS and it can be observed that the D-value serves the purpose of feature specification compared to T1 values. By using the D-values, several features were found to change significantly during the process of CR after OS. CLINICAL RELEVANCE: The features selected by D-value can be used for the establishment of a prediction model for CR after OS.
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