Instantaneous self-recovery and ultra-low detection limit hydrogel electronic sensor for temporomandibular disorders intelligent diagnosis

IF 14.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Yujie Yan, Lixia Yu, Xuefeng Zhang, Qi Han, Zhixin Yang, Xingyuan Lu, Jiongke Wang, Hao Xu, Qianming Chen, Hang Zhao
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引用次数: 0

Abstract

Temporomandibular disorders (TMD) intelligent diagnosis promises to elevate clinical efficiency and facilitate timely TMD management for patients. However, development of TMD intelligent diagnostic tools with high accuracy and sensitivity presents challenges, particularly in sensing minute deformations and ensuring rapid self-recovery. Here we report a biocompatible hydrogel electronic sensor with instantaneous self-recovery (within 2.1 s) and ultra-low detection limit (0.005% strain). It could efficiently diagnose disc displacement with reduction (DDwR) with satisfactory accuracy of 90.00%, and also had a clear indication of the typical clinical manifestations of DDwR and the timing of temporomandibular joint (TMJ) clicking, with a sensitivity of up to 100% in human compared to the diagnostic criteria for TMD (DC/TMD). Furthermore, a predictive model based on waveform features achieved 84.4% accuracy and 86% sensitivity, reducing dependence on physicians. In summary, the hydrogel sensor is expected to become a radiation-free, non-invasive, practical and effective tool for future TMD diagnosis.

Abstract Image

颞下颌关节紊乱症(TMD)智能诊断有望提高临床效率,方便患者及时进行 TMD 治疗。然而,开发具有高精确度和灵敏度的 TMD 智能诊断工具面临着挑战,尤其是在感知微小变形和确保快速自我恢复方面。在此,我们报告了一种生物相容性水凝胶电子传感器,它具有瞬时自我恢复能力(2.1 秒内)和超低检测限(0.005% 应变)。与 TMD(DC/TMD)的诊断标准相比,它的灵敏度高达 100%。此外,基于波形特征的预测模型达到了 84.4% 的准确率和 86% 的灵敏度,减少了对医生的依赖。总之,水凝胶传感器有望成为未来诊断 TMD 的一种无辐射、无创、实用且有效的工具。
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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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