Automatic maxillary sinus segmentation and age estimation model for the northwestern Chinese Han population
Abstract Background Age estimation is vital in forensic science, with maxillary sinus development serving as a reliable indicator. This study developed an automatic segmentation model for maxillary sinus identification and parameter measurement, combined with regression and machine learning models f...
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BMC
2025-02-01
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| Series: | BMC Oral Health |
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| Online Access: | https://doi.org/10.1186/s12903-025-05618-x |
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| author | Yu-Xin Guo Jun-Long Lan Wen-Qing Bu Yu Tang Di Wu Hui Yang Jia-Chen Ren Yu-Xuan Song Hong-Ying Yue Yu-Cheng Guo Hao-Tian Meng |
| author_facet | Yu-Xin Guo Jun-Long Lan Wen-Qing Bu Yu Tang Di Wu Hui Yang Jia-Chen Ren Yu-Xuan Song Hong-Ying Yue Yu-Cheng Guo Hao-Tian Meng |
| author_sort | Yu-Xin Guo |
| collection | DOAJ |
| description | Abstract Background Age estimation is vital in forensic science, with maxillary sinus development serving as a reliable indicator. This study developed an automatic segmentation model for maxillary sinus identification and parameter measurement, combined with regression and machine learning models for age estimation. Methods Cone Beam Computed Tomography (CBCT) images from 292 Han individuals (ranging from 5 to 53 years) were used to train and validate the segmentation model. Measurements included sinus dimensions (length, width, height), inter-sinus distance, and volume. Age estimation models using multiple linear regression and random forest algorithms were built based on these variables. Results The automatic segmentation model achieved high accuracy, which yielded a Dice similarity coefficient (DSC) of 0.873, an Intersection over Union (IoU) of 0.7753, a Hausdorff Distance 95% (HD95) of 9.8337, and an Average Surface Distance (ASD) of 2.4507. The regression model performed best, with mean absolute errors (MAE) of 1.45 years (under 18) and 3.51 years (aged 18 and above), providing relatively precise age predictions. Conclusion The maxillary sinus-based model is a promising tool for age estimation, particularly in adults, and could be enhanced by incorporating additional variables like dental dimensions. |
| format | Article |
| id | doaj-art-f9ee4e63ad0d4c5ebf9d608e267669e2 |
| institution | OA Journals |
| issn | 1472-6831 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Oral Health |
| spelling | doaj-art-f9ee4e63ad0d4c5ebf9d608e267669e22025-08-20T02:16:39ZengBMCBMC Oral Health1472-68312025-02-0125111010.1186/s12903-025-05618-xAutomatic maxillary sinus segmentation and age estimation model for the northwestern Chinese Han populationYu-Xin Guo0Jun-Long Lan1Wen-Qing Bu2Yu Tang3Di Wu4Hui Yang5Jia-Chen Ren6Yu-Xuan Song7Hong-Ying Yue8Yu-Cheng Guo9Hao-Tian Meng10Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong UniversityKey Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong UniversityKey Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong UniversityKey Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong UniversityKey Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong UniversityKey Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong UniversityKey Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong UniversityCollege of Forensic Science, Xi’an Jiaotong UniversityKey Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong UniversityKey Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong UniversityKey Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong UniversityAbstract Background Age estimation is vital in forensic science, with maxillary sinus development serving as a reliable indicator. This study developed an automatic segmentation model for maxillary sinus identification and parameter measurement, combined with regression and machine learning models for age estimation. Methods Cone Beam Computed Tomography (CBCT) images from 292 Han individuals (ranging from 5 to 53 years) were used to train and validate the segmentation model. Measurements included sinus dimensions (length, width, height), inter-sinus distance, and volume. Age estimation models using multiple linear regression and random forest algorithms were built based on these variables. Results The automatic segmentation model achieved high accuracy, which yielded a Dice similarity coefficient (DSC) of 0.873, an Intersection over Union (IoU) of 0.7753, a Hausdorff Distance 95% (HD95) of 9.8337, and an Average Surface Distance (ASD) of 2.4507. The regression model performed best, with mean absolute errors (MAE) of 1.45 years (under 18) and 3.51 years (aged 18 and above), providing relatively precise age predictions. Conclusion The maxillary sinus-based model is a promising tool for age estimation, particularly in adults, and could be enhanced by incorporating additional variables like dental dimensions.https://doi.org/10.1186/s12903-025-05618-xAge estimationForensic anthropologyMaxillary sinusAutomatic segmentationMachine learning |
| spellingShingle | Yu-Xin Guo Jun-Long Lan Wen-Qing Bu Yu Tang Di Wu Hui Yang Jia-Chen Ren Yu-Xuan Song Hong-Ying Yue Yu-Cheng Guo Hao-Tian Meng Automatic maxillary sinus segmentation and age estimation model for the northwestern Chinese Han population BMC Oral Health Age estimation Forensic anthropology Maxillary sinus Automatic segmentation Machine learning |
| title | Automatic maxillary sinus segmentation and age estimation model for the northwestern Chinese Han population |
| title_full | Automatic maxillary sinus segmentation and age estimation model for the northwestern Chinese Han population |
| title_fullStr | Automatic maxillary sinus segmentation and age estimation model for the northwestern Chinese Han population |
| title_full_unstemmed | Automatic maxillary sinus segmentation and age estimation model for the northwestern Chinese Han population |
| title_short | Automatic maxillary sinus segmentation and age estimation model for the northwestern Chinese Han population |
| title_sort | automatic maxillary sinus segmentation and age estimation model for the northwestern chinese han population |
| topic | Age estimation Forensic anthropology Maxillary sinus Automatic segmentation Machine learning |
| url | https://doi.org/10.1186/s12903-025-05618-x |
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