A Hybrid Segmentation Method for Three-Dimensional Analysis of the Mandibular Condyle in Idiopathic Condylar Resorption

Objective Accurate extraction of condylar morphology underpins the diagnosis of idiopathic condylar resorption (ICR), yet cone beam computed tomography (CBCT) segmentation is difficult in ICR because subchondral demineralization blurs the bony margin. We tested whether single-threshold segmentation accurately captures the condyle in ICR and developed a hybrid method that combines Otsu thresholding with a three-dimensional region-growing algorithm. Methods We retrospectively analysed CBCT scans of 23 patients with ICR (46 condyles). Manual, threshold, and hybrid segmentation were compared for accuracy (condylar volume and surface area), segmentation time, and clinical usability. Before this comparison, we validated manual segmentation, the reference standard, against optical surface scanning of 16 dry condyles. Volume, segmentation times, and surface area were compared using paired t tests, one-way ANOVA, and Friedman test; usability was assessed using the Wilcoxon signed-rank test. Results Manual segmentation and optical scanning did not differ for normal condyles, supporting manual segmentation as the reference. In ICR, threshold segmentation underestimated condylar volume and surface area relative to manual segmentation (mean differences 112.2 mm 3 and 28.0 mm 2 ; P < .05), whereas hybrid and manual segmentation did not differ. Regions missed by threshold segmentation showed intermediate density (mean greyscale value 418.5) and clustered in the anteromiddle condyle (41.3%), the reported initiation site of resorption. Hybrid segmentation was faster than manual and threshold segmentation (11.0 vs 20.9 and 16.5 minutes; P < .01) and scored highest for usability. Conclusion Single-threshold segmentation misses early low-density subchondral changes in ICR. A hybrid Otsu-region-growing method recovers these regions with manual-level accuracy in less time, supporting CBCT as a practical tool for quantitative condylar assessment in ICR.

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Journal
International Dental Journal
Published
2026-09-10
DOI
https://doi.org/10.1016/j.identj.2026.111140
Primary Topic
Temporomandibular Joint Disorders
Type
article
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article

A Hybrid Segmentation Method for Three-Dimensional Analysis of the Mandibular Condyle in Idiopathic Condylar Resorption

Xiaolei Li, Yue Xu, Songfeng Li, Yilin Yu et al.
International Dental Journal
Temporomandibular Joint Disorders
article

A Hybrid Segmentation Method for Three-Dimensional Analysis of the Mandibular Condyle in Idiopathic Condylar Resorption

Xiaolei Li, Yue Xu, Songfeng Li, Yilin Yu, Han Lin
article en

Abstract

Objective Accurate extraction of condylar morphology underpins the diagnosis of idiopathic condylar resorption (ICR), yet cone beam computed tomography (CBCT) segmentation is difficult in ICR because subchondral demineralization blurs the bony margin. We tested whether single-threshold segmentation accurately captures the condyle in ICR and developed a hybrid method that combines Otsu thresholding with a three-dimensional region-growing algorithm. Methods We retrospectively analysed CBCT scans of 23 patients with ICR (46 condyles). Manual, threshold, and hybrid segmentation were compared for accuracy (condylar volume and surface area), segmentation time, and clinical usability. Before this comparison, we validated manual segmentation, the reference standard, against optical surface scanning of 16 dry condyles. Volume, segmentation times, and surface area were compared using paired t tests, one-way ANOVA, and Friedman test; usability was assessed using the Wilcoxon signed-rank test. Results Manual segmentation and optical scanning did not differ for normal condyles, supporting manual segmentation as the reference. In ICR, threshold segmentation underestimated condylar volume and surface area relative to manual segmentation (mean differences 112.2 mm 3 and 28.0 mm 2 ; P < .05), whereas hybrid and manual segmentation did not differ. Regions missed by threshold segmentation showed intermediate density (mean greyscale value 418.5) and clustered in the anteromiddle condyle (41.3%), the reported initiation site of resorption. Hybrid segmentation was faster than manual and threshold segmentation (11.0 vs 20.9 and 16.5 minutes; P < .01) and scored highest for usability. Conclusion Single-threshold segmentation misses early low-density subchondral changes in ICR. A hybrid Otsu-region-growing method recovers these regions with manual-level accuracy in less time, supporting CBCT as a practical tool for quantitative condylar assessment in ICR.

International Dental JournalVol. 76(6)
Sun Yat-sen University (CN), Stomatology Hospital (CN), Temple University (US)
Openalex Percentile: Top 7%
Temporomandibular Joint Disorders
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