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Li X, Chen W, Li H, Shen B, He J, Gao H, Bin F, Li H, Xiao D. Temperature Self-Compensating Intelligent Wireless Measuring Contact Lens for Quantitative Intraocular Pressure Monitoring. ACS APPLIED MATERIALS & INTERFACES 2024; 16:22522-22531. [PMID: 38651323 DOI: 10.1021/acsami.4c02289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
Flexible bioelectronic devices that can perform real-time and accurate intraocular pressure (IOP) monitoring in both clinical and home settings hold significant implications for the diagnosis and treatment of glaucoma, yet they face challenges due to the open physiological environment of the ocular. Herein, we develop an intelligent wireless measuring contact lens (WMCL) incorporating a dual inductor-capacitor-resistor (LCR) resonant system to achieve temperature self-compensation for quantitative IOP monitoring in different application environments. The WMCL utilizes a compact circuitry design, which enables the integration of low-frequency and high-frequency resonators within a single layer of a sensing circuit without causing visual impairment. Mechanically guided microscale 3D encapsulation strategy combined with flexible circuit printing techniques achieves the surface-adaptive fabrication of the WMCL. The specific design of frequency separation imparts distinct temperature response characteristics to the dual resonators, and the linear combination of the dual resonators can eliminate the impact of temperature variations on measurement accuracy. The WMCL demonstrates outstanding sensitivity and linearity in monitoring the IOP of porcine eyes in vitro while maintaining satisfactory measurement accuracy even with internal temperature variations exceeding 10 °C. Overcoming the impact of temperature variations on IOP monitoring from the system level, the WMCL showcases immense potential as the next generation of all-weather IOP monitoring devices.
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Affiliation(s)
- Xu Li
- Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Wei Chen
- Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
- Beijing University of Technology, Beijing 100124, China
| | - Hongyang Li
- Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Biwen Shen
- Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Jiangang He
- Avic Chengdu Aircraft Design & Research Institute, Chengdu 610041, China
| | - Huanlin Gao
- Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Fengjiao Bin
- Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Hui Li
- Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Dengbao Xiao
- Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China
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Kurysheva NI, Rodionova OY, Pomerantsev AL, Sharova GA, Golubnitschaja O. Machine learning-couched treatment algorithms tailored to individualized profile of patients with primary anterior chamber angle closure predisposed to the glaucomatous optic neuropathy. EPMA J 2023; 14:527-538. [PMID: 37605656 PMCID: PMC10439872 DOI: 10.1007/s13167-023-00337-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 08/03/2023] [Indexed: 08/23/2023]
Abstract
Background Primary angle closure glaucoma (PACG) is still one of the leading causes of irreversible blindness, with a trend towards an increase in the number of patients to 32.04 million by 2040, an increase of 58.4% compared with 2013. Health risk assessment based on multi-level diagnostics and machine learning-couched treatment algorithms tailored to individualized profile of patients with primary anterior chamber angle closure are considered essential tools to reverse the trend and protect vulnerable subpopulations against health-to-disease progression. Aim To develop a methodology for personalized choice of an effective method of primary angle closure (PAC) treatment based on comparing the prognosis of intraocular pressure (IOP) changes due to laser peripheral iridotomy (LPI) or lens extraction (LE). Methods The multi-parametric data analysis was used to develop models predicting individual outcomes of the primary angle closure (PAC) treatment with LPI and LE. For doing this, we suggested a positive dynamics in the intraocular pressure (IOP) after treatment, as the objective measure of a successful treatment. Thirty-seven anatomical parameters have been considered by applying artificial intelligence to the prospective study on 30 (LE) + 30 (LPI) patients with PAC. Results and data interpretation in the framework of 3P medicine Based on the anatomical and topographic features of the patients with PAC, mathematical models have been developed that provide a personalized choice of LE or LPI in the treatment. Multi-level diagnostics is the key tool in the overall advanced approach. To this end, for the future application of AI in the area, it is strongly recommended to consider the following:Clinically relevant phenotyping applicable to advanced population screeningSystemic effects causing suboptimal health conditions considered in order to cost-effectively protect affected individuals against health-to-disease transitionClinically relevant health risk assessment utilizing health/disease-specific molecular patterns detectable in body fluids with high predictive power such as a comprehensive tear fluid analysis. Supplementary Information The online version contains supplementary material available at 10.1007/s13167-023-00337-1.
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Affiliation(s)
- Natalia I. Kurysheva
- The Ophthalmological Center of the Federal Medical and Biological Agency of the Russian Federation, 15 Gamalei Street, Moscow, Russian Federation 123098
| | - Oxana Y. Rodionova
- Federal Research Center for Chemical Physics RAS, 4, Kosygin Street, Moscow, Russian Federation 119991
| | - Alexey L. Pomerantsev
- Federal Research Center for Chemical Physics RAS, 4, Kosygin Street, Moscow, Russian Federation 119991
| | - Galina A. Sharova
- Ophthalmology Clinic of Dr. Belikova, 26/2, Budenny Avenue, Moscow, Russian Federation 105118
| | - Olga Golubnitschaja
- Predictive, Preventive and Personalised (3P) Medicine, Department of Radiation Oncology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53127 Bonn, Germany
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Ren X, Zhou Y, Lu F, Zhai L, Wu H, Chen Z, Wang C, Zhu X, Xie Y, Cai P, Xu J, Tang X, Li J, Yao J, Jiang Q, Hu B. Contact Lens Sensor with Anti-jamming Capability and High Sensitivity for Intraocular Pressure Monitoring. ACS Sens 2023. [PMID: 37262351 DOI: 10.1021/acssensors.3c00542] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Contact lens sensors provide a noninvasive approach for intraocular pressure (IOP) monitoring in patients with glaucoma. Accurate measurement of this imperceptible pressure variation requires highly sensitive sensors in the absence of simultaneously amplifying IOP signal and blinking-induced noise. However, current noise-reduction methods rely on external filter circuits, which thicken contact lenses and reduce signal quality. Here, we introduce a contact lens strain sensor with an anti-jamming ability by utilizing a self-lubricating layer to reduce the coefficient of friction (COF) to remove the interference from the tangential force. The sensor achieves exceptionally high sensitivity due to the strain concentration layout and the confined occurrence of sympatric microcracks. The animal tests prove our lens can accurately detect IOP safely and reliably.
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Affiliation(s)
- Xueyang Ren
- Department of Neuro-Psychiatric Institute, the Affiliated Brain Hospital with Nanjing Medical University, Nanjing 210029, China
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
- State Key Laboratory of Bioelectronics and Jiangsu Key Laboratory of Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Yunfan Zhou
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
- The Affiliated Eye Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Fangzhou Lu
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Leili Zhai
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Hao Wu
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Zhongda Chen
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Changxian Wang
- Innovative Center for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Xuefei Zhu
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
- The Affiliated Eye Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Yandong Xie
- Department of Neuro-Psychiatric Institute, the Affiliated Brain Hospital with Nanjing Medical University, Nanjing 210029, China
| | - Pingqiang Cai
- Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing University, Nanjing 210093, China
| | - Juan Xu
- Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing University, Nanjing 210093, China
| | - Xianglong Tang
- Department of Neuro-Psychiatric Institute, the Affiliated Brain Hospital with Nanjing Medical University, Nanjing 210029, China
| | - Jianqing Li
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
- School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
| | - Jin Yao
- The Affiliated Eye Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Qin Jiang
- The Affiliated Eye Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Benhui Hu
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
- State Key Laboratory of Bioelectronics and Jiangsu Key Laboratory of Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
- The Affiliated Eye Hospital of Nanjing Medical University, Nanjing 210029, China
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Song WK, Sung KR, Kim KE. Assessment of Iridotrabecular Contact and Its Association With Intraocular Pressure After Phacoemulsification in Primary Angle Closure. Am J Ophthalmol 2022; 249:1-11. [PMID: 36586662 DOI: 10.1016/j.ajo.2022.12.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 12/19/2022] [Accepted: 12/21/2022] [Indexed: 12/29/2022]
Abstract
PURPOSE To investigate the association between the quantitative assessment of iridotrabecular contact (ITC), measured by swept-source anterior segment optical coherence tomography (SS AS-OCT), and intraocular pressure (IOP) control after phacoemulsification in patients with primary angle closure disease (PACD). DESIGN Retrospective, clinical cohort study. METHODS Preoperative and postoperative anterior chamber angle parameters were measured using SS AS-OCT. IOP was measured preoperatively and until 6 months postoperatively. Percent IOP reduction and fluctuation after surgery were calculated, and their relationships with SS AS-OCT parameters were assessed by correlation analyses and locally weighted scatterplot smoothing (LOWESS) regression with change-point analysis. RESULTS A total of 51 eyes of 51 PACD patients were included. Preoperative ITC index and area (r = 0.626, r = 0.551), as well as changes in ITC index and area (r = 0.632, r = 0.543) after surgery, were significantly correlated with postoperative IOP reduction, after adjusting for age and gender (all P <.001). Higher postoperative ITC index (r = 0.405, P = .005) and ITC area (r = 0.460, P = 0.001) were associated with greater postoperative IOP fluctuations. Change points on LOWESS curves were observed for preoperative ITC index (33.0%) and change in ITC index (27.0%) and percent IOP reductions were significantly correlated with them above (β = 0.386, β = 0.664, all P < .001) but not below the change points. CONCLUSIONS Quantitative assessment of circumferential ITC can predict postoperative IOP control after phacoemulsification, and thus it may be used as a reference for determining lens extraction in PACD eyes.
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Affiliation(s)
- Woo Keun Song
- From the Department of Ophthalmology, University of Ulsan, College of Medicine, Asan Medical Center, Seoul, Korea
| | - Kyung Rim Sung
- From the Department of Ophthalmology, University of Ulsan, College of Medicine, Asan Medical Center, Seoul, Korea.
| | - Ko Eun Kim
- From the Department of Ophthalmology, University of Ulsan, College of Medicine, Asan Medical Center, Seoul, Korea
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