Unique ID issued by UMIN | UMIN000040128 |
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Receipt number | R000045757 |
Scientific Title | Diagnostic Evaluation of Keratoconus Using Corneal Topography and Machine Learning. |
Date of disclosure of the study information | 2020/04/10 |
Last modified on | 2020/04/10 23:23:36 |
Diagnostic Evaluation of Keratoconus Using Corneal Topography and Machine Learning.
Diagnostic Evaluation of Keratoconus Using Machine Learning.
Diagnostic Evaluation of Keratoconus Using Corneal Topography and Machine Learning.
Diagnostic Evaluation of Keratoconus Using Machine Learning.
Japan |
Keratoconus
Ophthalmology |
Others
NO
To evaluate the diagnostic power of keratoconus using corneal topography and machine learning.
Efficacy
Accuracy
Observational
20 | years-old | <= |
60 | years-old | > |
Male and Female
evident findings characteristic of keratoconus (e.g., corneal topography with asymmetric bow-tie pattern with or without skewed axes), and at least one keratoconus sign (e.g., stromal thinning, conical protrusion of the cornea at the apex, Fleischer ring, Vogt striae, or anterior stromal scar) on slit-lamp examination by corneal specialists.
Other corneal diseases or history of corneal surgery.
250
1st name | Kazutaka |
Middle name | |
Last name | Kamiya |
Kitasato University
School of Allied Health Sciences
2520373
1-15-1 Kitasato, Minami, Sagamihara, Kanagawa
0427788464
kamiyak-tky@umin.ac.jp
1st name | Kazutaka |
Middle name | |
Last name | Kamiya |
Kitasato University
School of Allied Health Sciences
2520373
1-15-1 Kitasato, Minami, Sagamihara, Kanagawa
0427788464
kamiyak-tky@umin.ac.jp
Kitasato University
Kitasato University
Other
Kitasato University
1-15-1 Kitasato, Minami, Sagamihara, Kitasato
0427788464
kamiyak-tky@umin.ac.jp
NO
2020 | Year | 04 | Month | 10 | Day |
Unpublished
271
Main results already published
2019 | Year | 01 | Month | 01 | Day |
2020 | Year | 04 | Month | 10 | Day |
2019 | Year | 01 | Month | 01 | Day |
2020 | Year | 04 | Month | 01 | Day |
This retrospective study comprised 153 keratoconic eyes and 118 normal eyes with good quality scans of corneal tomography measured with corneal topography.
2020 | Year | 04 | Month | 10 | Day |
2020 | Year | 04 | Month | 10 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000045757
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