Fuchs' Endothelial Corneal Dystrophy evaluation using a high-resolution wavefront sensor

被引:0
|
作者
Belda-Para, Carolina [1 ,2 ]
Velarde-Rodriguez, Gonzalo [3 ]
Marichal-Hernandez, Jose G. [2 ]
Velasco-Ocana, Miriam [1 ]
Trujillo-Sevilla, Juan M. [1 ]
Alejandre-Alba, Nicolas [3 ]
Rodriguez-Ramos, Jose M. [1 ,2 ]
机构
[1] R&D Sect, Wooptix SL, San Cristobal la Laguna 38204, Spain
[2] Univ Laguna, Ind Engn Dept, ESIT, San Cristobal la Laguna 38206, Spain
[3] Hosp Univ Fdn Jimenez Diaz, Ophthalmol Dept, Madrid 28040, Spain
来源
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
关键词
WaveFront sensor; Ocular aberrations; Fuchs' endothelial corneal dystrophy; Guttae; Image processing; Machine learning; ABERRATIONS; MICROSCOPY; QUALITY; VISION; GUTTAE;
D O I
10.1038/s41598-024-71480-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This study aims to evaluate the applicability of the high-resolution WaveFront Phase Imaging Sensor (WFPI) in eyes with Fuchs' Endothelial Corneal Dystrophy (FECD) through qualitative and quantitative analysis using a custom-designed Automatic Guttae Detection Method (AGDM). The ocular phase was measured using the t & sdot;eyede aberrometer and then was processed to obtain its High-Pass Filter Map (HPFM). The subjects were pathological and healthy patients from the Fundaci & oacute;n Jimenez-Diaz Hospital (Madrid, Spain). The AGDM was developed and applied in pupils with 3 and 5 mm of diameter. A set of metrics were extracted and evaluated like the Root-Mean-Square error (RMS), Number of guttae, Guttae Area, and Area of Delaunay Triangulation (DT). Finally, a Support Vector Machine (SVM) model was trained to classify between pathological and healthy eyes. Quantitatively, the HPFM reveals a dark spots pattern according to the ophthalmologist's description of the slit-lamp examination of guttae distribution. There were significant statistical differences in all the metrics when FECD and Healthy groups were compared using the same pupil size; but comparing both pupil sizes for the same group there were significant differences in most of the variables. This sensor is a value tool to objectively diagnose and monitor this pathology through wavefront phase changes.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Evaluation of corneal backscatter using Scheimpflug imaging in Fuchs' endothelial corneal dystrophy
    Moscarda, Eva Josefina Nunez
    Boned-Murillo, Ana
    Diaz-Barreda, Ma Dolores
    El Bakkali, Ismael Bakkali
    Rivases, Guillermo Perez
    Cisneros, Pablo
    deRivas, Marta Orejudo
    Karlsruher, Gisela
    ACTA OPHTHALMOLOGICA, 2022, 100
  • [2] Fuchs' endothelial corneal dystrophy
    Chen, TT
    ANNALS OF OPHTHALMOLOGY-GLAUCOMA, 1997, 29 (05): : 285 - 286
  • [3] Fuchs Endothelial Corneal Dystrophy
    Elhalis, Hussain
    Azizi, Behrooz
    Jurkunas, Ula V.
    OCULAR SURFACE, 2010, 8 (04): : 173 - 184
  • [4] Pathogenesis and diagnostic evaluation of Fuchs' endothelial corneal dystrophy
    Wacker, K.
    Reinhard, T.
    Maier, P.
    OPHTHALMOLOGE, 2019, 116 (03): : 221 - 227
  • [5] Corneal endothelial function in Fuchs endothelial corneal dystrophy
    Wacker, Katrin
    McLaren, Jay W.
    Kane, Katrina
    Patel, Sanjay V.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2016, 57 (12)
  • [6] Evaluation of the central and peripheral corneal endothelial cells in patients with Fuchs' Endothelial Corneal Dystrophy
    Nakagawa, Hiroko
    Inatomi, Tsutomu
    Kinoshita, Shigeru
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2014, 55 (13)
  • [7] Fuchs Endothelial Corneal Dystrophy in a Child
    Chaurasia, Sunita
    Ramappa, Muralidhar
    CORNEA, 2017, 36 (08) : E17 - E18
  • [8] Fuchs Endothelial Corneal Dystrophy and Mitochondria
    Miyai, Takashi
    CORNEA, 2018, 37 : S74 - S77
  • [9] Evaluation of Visual Quality in Patients With Fuchs Endothelial Corneal Dystrophy
    Oie, Yoshinori
    Watanabe, Shinya
    Nishida, Kohji
    CORNEA, 2016, 35 : S55 - S58
  • [10] Mitophagy in Fuchs Endothelial Corneal Dystrophy
    Jurkunas, Ula V.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2016, 57 (12)