DEDector: Smartphone-Based Noninvasive Screening of Dry Eye Disease

被引:0
|
作者
Ganatra, Vaibhav [1 ]
Gun, Soumyasis [1 ]
Joshi, Pallavi [2 ]
Balasubramaniam, Anand [2 ]
Murali, Kaushik [2 ]
Kwatra, Nipun [1 ]
Jain, Mohit [1 ]
机构
[1] Microsoft Res, Bengaluru, India
[2] Sankara Eye Hosp, Coimbatore, India
关键词
Tear Break-up Time; TBUT; Non-invasive; NIBUT; Medical; Diagnosis; Evaluation; TEAR FILM STABILITY; LIPID LAYER; PREVALENCE;
D O I
10.1145/3699742
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Dry Eye Disease (DED) is an eye condition characterized by abnormalities in tear film stability. Despite its high prevalence, screening for DED remains challenging, primarily due to the invasive nature of most diagnostic tests. The Fluorescein Break-Up Time (FBUT) test, which involves instilling fluorescein dye in the eye, is a widely used method for assessing tear film stability. In this work, we propose DEDector, a low-cost, smartphone-based automated Non-Invasive Break-Up Time (NIBUT) measurement for DED screening. Utilizing a 3D-printed Placido ring attachment on a smartphone's camera, DEDector projects concentric rings onto the cornea, capturing a video for subsequent analysis using our proposed video processing pipeline to identify tear film stability. We conducted a real-world evaluation on 46 eyes, comparing DEDector with the traditional FBUT method. DEDector achieved a sensitivity of 77.78% and specificity of 82.14%, outperforming FBUT.
引用
收藏
页数:26
相关论文
共 50 条
  • [1] A Novel Noninvasive Screening Tool for Dry Eye Disease
    Vaccaro, Sabrina
    Borselli, Massimiliano
    Scalia, Giovanni
    Rossi, Costanza
    Toro, Mario Damiano
    Rejdak, Robert
    Pellegrini, Marco
    Scorcia, Vincenzo
    Giannaccare, Giuseppe
    DIAGNOSTICS, 2024, 14 (12)
  • [2] Smartphone-based Remote Analysis System for Dry-eye Disease with Chatbot-enabled Communication
    Kim, Dong Young
    Han, Seung Chan
    Yoon, Hyeon-Jeong
    Eom, Tae Joong
    KOREAN JOURNAL OF OPTICS AND PHOTONICS, 2025, 36 (01) : 39 - 46
  • [3] Applicability of Smartphone-Based Screening Programs
    Garg, Sunir J.
    JAMA OPHTHALMOLOGY, 2016, 134 (02) : 158 - 159
  • [4] Smartphone-Based Rapid Screening of Urinary Biomarkers
    Karlsen, Haakon
    Dong, Tao
    IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2017, 11 (02) : 455 - 463
  • [5] Smartphone-Based Hearing Screening in Noisy Environments
    Na, Youngmin
    Joo, Hyo Sung
    Yang, Hyejin
    Kang, Soojin
    Hong, Sung Hwa
    Woo, Jihwan
    SENSORS, 2014, 14 (06) : 10346 - 10360
  • [6] Statistical Evaluation of Smartphone-Based Automated Grading System for Ocular Redness Associated with Dry Eye Disease and Implications for Clinical Trials
    Rodriguez, John D.
    Hamm, Adam
    Bensinger, Ethan
    Kerti, Samanatha J.
    Gomes, Paul J.
    Ousler Iii, George W.
    Gupta, Palak
    De Moraes, Carlos Gustavo
    Abelson, Mark B.
    CLINICAL OPHTHALMOLOGY, 2025, 19 : 907 - 914
  • [7] Smartphone-Based Thyroid Disease Management
    Ehrenkranz, Joel R. L.
    Emerson, Charles H.
    Espiritu, Theodure
    Polson, Randall
    Benvenga, Salvatore
    ENDOCRINE REVIEWS, 2014, 35 (03)
  • [8] Smartphone-based fundus photography for screening of plus-disease retinopathy of prematurity
    Tapan P. Patel
    Michael T. Aaberg
    Yannis M. Paulus
    Philip Lieu
    Vaidehi S. Dedania
    Cynthia X. Qian
    Cagri G. Besirli
    Todd Margolis
    Daniel A. Fletcher
    Tyson N. Kim
    Graefe's Archive for Clinical and Experimental Ophthalmology, 2019, 257 : 2579 - 2585
  • [9] Advances in the Noninvasive Diagnosis of Dry Eye Disease
    Di Cello, Luca
    Pellegrini, Marco
    Vagge, Aldo
    Borselli, Massimiliano
    Ferro Desideri, Lorenzo
    Scorcia, Vincenzo
    Traverso, Carlo E.
    Giannaccare, Giuseppe
    APPLIED SCIENCES-BASEL, 2021, 11 (21):
  • [10] Smartphone-based fundus photography for screening of plus-disease retinopathy of prematurity
    Patel, Tapan P.
    Aaberg, Michael T.
    Paulus, Yannis M.
    Lieu, Philip
    Dedania, Vaidehi S.
    Qian, Cynthia X.
    Besirli, Cagri G.
    Margolis, Todd
    Fletcher, Daniel A.
    Kim, Tyson N.
    GRAEFES ARCHIVE FOR CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY, 2019, 257 (11) : 2579 - 2585