Use of neural networks to predict a potential osteoporotic metabolic condition based on the panoramic mandibular index

IF 2.4 3区医学 Q2 DENTISTRY, ORAL SURGERY & MEDICINE

Oral Surgery Oral Medicine Oral Pathology Oral Radiology Pub Date : 2026-02-01 Epub Date: 2025-10-08 DOI:10.1016/j.oooo.2025.09.022

Philip Roebers MSc , Ralf Schulze MD

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引用次数: 0

Abstract

Objective

This study investigates the use of neural networks to predict potential osteoporotic metabolic conditions using the Panoramic Mandibular Index (PMI) derived from panoramic radiographs.

Study Design

A total of n = 750 radiographs were collected and 1,500 regions of interest (ROIs) were analysed. Convolutional neural network (CNN), specifically ResNet-50, were used with transfer learning, achieving the highest accuracy. Three classification approaches were tested: binary classification (PMI > 0.25 vs. PMI < 0.25), 3-class classification (PMI > 0.25, 0.2-0.25, PMI < 0.2), and a modified 2-class classification (PMI > 0.25 vs. PMI < 0.2).

Results

The best classification, the modified 2-class classification, achieved an accuracy of 89.5%. Data augmentation techniques including rotation, reflection, and scaling, improved model robustness.

Conclusions

This study demonstrates that a neural network can be trained to effectively classify PMI values in panoramic radiographs, providing an easy applicable and noninvasive method to identify patients at risk of osteoporosis.

查看原文本刊更多论文

利用神经网络预测基于下颌全景指数的潜在骨质疏松代谢状况。

目的：本研究探讨利用全景x线片得出的下颌全景指数（PMI），利用神经网络预测潜在的骨质疏松代谢状况。研究设计：共收集了n = 750张x线片，分析了1,500个感兴趣区域（roi）。卷积神经网络（CNN），特别是ResNet-50与迁移学习一起使用，达到了最高的准确率。测试了三种分类方法：二元分类（PMI > 0.25 vs PMI < 0.25），三级分类（PMI > 0.25, 0.2-0.25, PMI < 0.2）和改进的二级分类（PMI > 0.25 vs PMI < 0.2）。结果：最佳分类方法为改进的2类分类，准确率为89.5%。数据增强技术，包括旋转、反射和缩放，提高了模型的鲁棒性。结论：本研究表明，神经网络训练可以有效地对全景x线片PMI值进行分类，为识别骨质疏松风险患者提供了一种简单适用且无创的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Oral Surgery Oral Medicine Oral Pathology Oral Radiology DENTISTRY, ORAL SURGERY & MEDICINE-

CiteScore

3.80

自引率

6.90%

发文量

1217

审稿时长

2-4 weeks

期刊介绍： Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology is required reading for anyone in the fields of oral surgery, oral medicine, oral pathology, oral radiology or advanced general practice dentistry. It is the only major dental journal that provides a practical and complete overview of the medical and surgical techniques of dental practice in four areas. Topics covered include such current issues as dental implants, treatment of HIV-infected patients, and evaluation and treatment of TMJ disorders. The official publication for nine societies, the Journal is recommended for initial purchase in the Brandon Hill study, Selected List of Books and Journals for the Small Medical Library.