Orbital disease
Conditions
Interventions
None listed
Sponsors
Osaka Metropolitan University
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1. From April 1, 2008 to December 31, 2021, a part of the eye was removed by surgery at Osaka City University Visual Pathology or Kobe Kaisei Hospital for the purpose of diagnosis and treatment of the disease, and patients who have received pathologic1. diagnosis who can obtain pathological sample images are eligible. 2.For comparison, pathological sample images of eye tissue in non-lesions are also subject to analysis. 3.Those who are 20 years of age or older at the time of diagnosis
Exclusion criteria
Exclusion criteria: 1.Patients with complications that affect the evaluation 2. Patients who have offered not to participate in this study from the published information
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Quantitative evaluation results by topological geometric method. Specifically, the ratio (b1 / b0) of the 0-dimensional Vetch number, the one-dimensional Vetch number, and the Betch number obtained from each pathological sample image, and the threshold value of the bivaluation when it is obtained. Basis for setting the main evaluation items: A method for calculating quantitative evaluation of the main outcome 1 is described. In this study, we analyze images using homology. In the analysis using homology, the vetch number of the image is an important concept. Hereinafter, the number of veches based on the definition limited to the two-dimensional image will be outlined. All pathological images in this study are two-dimensional images. | — |
Secondary
| Measure | Time frame |
|---|---|
| 1, How does the threshold of bivalanization change when the vetch number is obtained by normal structure, inflammation and neoplastic changes? 2,The correct diagnosis rate when the identification model which distinguishes the above structure, inflammation, tumor, emphysema change from the logistics regression model and the machine learning model for multiclass classification is created. | — |
Countries
Japan
Contacts
Public ContactMizuki Tagami
Osaka Metropolitan University Ophthalmology and Visual sciences
Outcome results
None listed