Research on the Characteristics of Food Impaction with Tight Proximal Contacts Based on Deep Learning

Objective. Based on deep learning, the characteristics of food impaction with tight proximal contacts were studied to guide the subsequent clinical treatment of occlusal adjustment. At the same time, digital model building, software measurement, and statistical correlation analysis were used to expl...

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Autores principales:	Yitong Cheng, Zhijiang Wang, Yue Shi, Qiaoling Guo, Qian Li, Rui Chai, Feng Wu
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/30c0dc092f674a079688534413e6a2c4
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spelling	oai:doaj.org-article:30c0dc092f674a079688534413e6a2c42021-11-15T01:18:55ZResearch on the Characteristics of Food Impaction with Tight Proximal Contacts Based on Deep Learning1748-671810.1155/2021/1000820https://doaj.org/article/30c0dc092f674a079688534413e6a2c42021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1000820https://doaj.org/toc/1748-6718Objective. Based on deep learning, the characteristics of food impaction with tight proximal contacts were studied to guide the subsequent clinical treatment of occlusal adjustment. At the same time, digital model building, software measurement, and statistical correlation analysis were used to explore the cause of tooth impaction and to provide evidence for clinical treatment. Methods. Volunteers with (n=250) and without (n=250) tooth impaction were recruited, respectively, to conduct a questionnaire survey. Meanwhile, models were made and perfused by skilled clinical physicians for these patients, and characteristics such as adjacent line length, adjacent surface area, tongue abduction gap angle, buccal abduction gap angle, and occlusal abduction gap angle were measured. A normality test, differential analysis, correlation analysis of pathological characteristics of the impaction group, principal component analysis (PCA), and binary logistic regression analysis were performed. Results. The adjacent line length, adjacent surface area, tongue abduction gap angle, buccal abduction gap angle, and occlusal abduction gap angle all met normal distribution. There were statistically significant differences in adjacent line length (p<0.001), adjacent surface area (p<0.001), and occlusal abduction gap angle (p<0.001) between the two groups. After dimensionality reduction by PCA on characteristics, adjacent line length, adjacent surface area, buccal abduction gap angle, and occlusal abduction gap angle had a strong correlation with the principal components. Binary logistic regression analysis showed that adjacent line length and adjacent surface area had positive effects on impaction. The buccal abduction gap angle and occlusal abduction gap angle had a significant negative influence on impaction. Conclusion. Adjacent line length, adjacent surface area, buccal abduction gap angle, and occlusal abduction gap angle are independent factors influencing food impaction.Yitong ChengZhijiang WangYue ShiQiaoling GuoQian LiRui ChaiFeng WuHindawi LimitedarticleComputer applications to medicine. Medical informaticsR858-859.7ENComputational and Mathematical Methods in Medicine, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Yitong Cheng Zhijiang Wang Yue Shi Qiaoling Guo Qian Li Rui Chai Feng Wu Research on the Characteristics of Food Impaction with Tight Proximal Contacts Based on Deep Learning
description	Objective. Based on deep learning, the characteristics of food impaction with tight proximal contacts were studied to guide the subsequent clinical treatment of occlusal adjustment. At the same time, digital model building, software measurement, and statistical correlation analysis were used to explore the cause of tooth impaction and to provide evidence for clinical treatment. Methods. Volunteers with (n=250) and without (n=250) tooth impaction were recruited, respectively, to conduct a questionnaire survey. Meanwhile, models were made and perfused by skilled clinical physicians for these patients, and characteristics such as adjacent line length, adjacent surface area, tongue abduction gap angle, buccal abduction gap angle, and occlusal abduction gap angle were measured. A normality test, differential analysis, correlation analysis of pathological characteristics of the impaction group, principal component analysis (PCA), and binary logistic regression analysis were performed. Results. The adjacent line length, adjacent surface area, tongue abduction gap angle, buccal abduction gap angle, and occlusal abduction gap angle all met normal distribution. There were statistically significant differences in adjacent line length (p<0.001), adjacent surface area (p<0.001), and occlusal abduction gap angle (p<0.001) between the two groups. After dimensionality reduction by PCA on characteristics, adjacent line length, adjacent surface area, buccal abduction gap angle, and occlusal abduction gap angle had a strong correlation with the principal components. Binary logistic regression analysis showed that adjacent line length and adjacent surface area had positive effects on impaction. The buccal abduction gap angle and occlusal abduction gap angle had a significant negative influence on impaction. Conclusion. Adjacent line length, adjacent surface area, buccal abduction gap angle, and occlusal abduction gap angle are independent factors influencing food impaction.
format	article
author	Yitong Cheng Zhijiang Wang Yue Shi Qiaoling Guo Qian Li Rui Chai Feng Wu
author_facet	Yitong Cheng Zhijiang Wang Yue Shi Qiaoling Guo Qian Li Rui Chai Feng Wu
author_sort	Yitong Cheng
title	Research on the Characteristics of Food Impaction with Tight Proximal Contacts Based on Deep Learning
title_short	Research on the Characteristics of Food Impaction with Tight Proximal Contacts Based on Deep Learning
title_full	Research on the Characteristics of Food Impaction with Tight Proximal Contacts Based on Deep Learning
title_fullStr	Research on the Characteristics of Food Impaction with Tight Proximal Contacts Based on Deep Learning
title_full_unstemmed	Research on the Characteristics of Food Impaction with Tight Proximal Contacts Based on Deep Learning
title_sort	research on the characteristics of food impaction with tight proximal contacts based on deep learning
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/30c0dc092f674a079688534413e6a2c4
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Research on the Characteristics of Food Impaction with Tight Proximal Contacts Based on Deep Learning

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