{"title":"用一种新的一键式方法自动分形分析1型糖尿病患者的下颌骨。","authors":"Melek Tassoker, Yunus Balel, Mediha Erturk, Kaan Sagtas","doi":"10.1038/s41598-025-07464-x","DOIUrl":null,"url":null,"abstract":"<p><p>This study aimed to assess mandibular bone alterations in individuals with Type 1 Diabetes Mellitus (T1DM) using a novel single-click fractal analysis module and to compare their fractal dimension (FD) values with those of healthy controls. A total of 184 panoramic radiographs from patients with T1DM-each of whom was receiving insulin therapy-and 184 age- and gender-matched healthy individuals were retrospectively evaluated. A newly developed Python-based module was used to calculate FD with a single click in six predefined mandibular regions of interest (ROIs), including gonial, interdental, and condylar areas. The significance of the test results was determined according to the p < 0.05 level. There were no statistically significant differences in FD values between groups in the condylar region (ROI 1 and 6). However, FD values in ROI 2, 3, 4, and 5-corresponding to the gonial and interdental areas-were significantly higher in the T1DM group compared to controls, suggesting microstructural differences in trabecular bone. The results indicate that T1DM is associated with region-specific alterations in mandibular trabecular bone architecture. The single-click fractal analysis module demonstrated efficient and standardized assessment of bone structure, offering a promising tool for clinical and research applications.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"30266"},"PeriodicalIF":3.9000,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12361457/pdf/","citationCount":"0","resultStr":"{\"title\":\"Automated fractal analysis for mandibular bone evaluation in type 1 diabetes mellitus using a novel single click approach.\",\"authors\":\"Melek Tassoker, Yunus Balel, Mediha Erturk, Kaan Sagtas\",\"doi\":\"10.1038/s41598-025-07464-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study aimed to assess mandibular bone alterations in individuals with Type 1 Diabetes Mellitus (T1DM) using a novel single-click fractal analysis module and to compare their fractal dimension (FD) values with those of healthy controls. A total of 184 panoramic radiographs from patients with T1DM-each of whom was receiving insulin therapy-and 184 age- and gender-matched healthy individuals were retrospectively evaluated. A newly developed Python-based module was used to calculate FD with a single click in six predefined mandibular regions of interest (ROIs), including gonial, interdental, and condylar areas. The significance of the test results was determined according to the p < 0.05 level. There were no statistically significant differences in FD values between groups in the condylar region (ROI 1 and 6). However, FD values in ROI 2, 3, 4, and 5-corresponding to the gonial and interdental areas-were significantly higher in the T1DM group compared to controls, suggesting microstructural differences in trabecular bone. The results indicate that T1DM is associated with region-specific alterations in mandibular trabecular bone architecture. The single-click fractal analysis module demonstrated efficient and standardized assessment of bone structure, offering a promising tool for clinical and research applications.</p>\",\"PeriodicalId\":21811,\"journal\":{\"name\":\"Scientific Reports\",\"volume\":\"15 1\",\"pages\":\"30266\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12361457/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Reports\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41598-025-07464-x\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Reports","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41598-025-07464-x","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Automated fractal analysis for mandibular bone evaluation in type 1 diabetes mellitus using a novel single click approach.
This study aimed to assess mandibular bone alterations in individuals with Type 1 Diabetes Mellitus (T1DM) using a novel single-click fractal analysis module and to compare their fractal dimension (FD) values with those of healthy controls. A total of 184 panoramic radiographs from patients with T1DM-each of whom was receiving insulin therapy-and 184 age- and gender-matched healthy individuals were retrospectively evaluated. A newly developed Python-based module was used to calculate FD with a single click in six predefined mandibular regions of interest (ROIs), including gonial, interdental, and condylar areas. The significance of the test results was determined according to the p < 0.05 level. There were no statistically significant differences in FD values between groups in the condylar region (ROI 1 and 6). However, FD values in ROI 2, 3, 4, and 5-corresponding to the gonial and interdental areas-were significantly higher in the T1DM group compared to controls, suggesting microstructural differences in trabecular bone. The results indicate that T1DM is associated with region-specific alterations in mandibular trabecular bone architecture. The single-click fractal analysis module demonstrated efficient and standardized assessment of bone structure, offering a promising tool for clinical and research applications.
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