A Novel Method of Quantifying the Choriocapillaris in Normal and Post-inflammatory Eyes

被引:4
|
作者
Khan, Hashim Ali [1 ,2 ]
Shahzad, Muhammad Aamir [3 ]
Iqbal, Fatima [4 ]
Awan, Muhammad Amer [5 ]
Sharjeel, Muhammad [6 ]
Khan, Qaim Ali [7 ]
Rashid, Faisal [8 ]
Abbas, Ahmed [9 ]
Khan, Asad Ali [10 ]
Rehman, Munib Ur [11 ]
Khan, Naeemullah [2 ]
Pizzimenti, Joseph [12 ]
Mehmood, Asim [13 ]
机构
[1] SEHHAT Fdn, Ophthalmol Dept, Gilgit, Pakistan
[2] Adv Eye Care, Gilgit, Pakistan
[3] Aziz Fatimah Med & Dent Coll, Ophthalmol Dept, Faisalabad, Pakistan
[4] Univ Faisalabad, Sch Optometry, Faisalabad, Pakistan
[5] Shifa Int Hosp, Ophthalmol Dept, Islamabad, Pakistan
[6] Gomal Med Coll, Ophthalmol Dept, Dera Ismail Khan, Pakistan
[7] Poonch Med Coll, Ophthalmol Dept, Ajk, Pakistan
[8] Sheikh Zayd Med Coll, Ophthalmol Dept, Rahim Yar Khan, Pakistan
[9] Shalamar Hosp, Shalamar Med & Dent Coll, Ophthalmol Dept, Lahore, Pakistan
[10] Combined Mil Hosp, Ophthalmol Dept, Quetta, Pakistan
[11] Govt Khawaja M Safdar Med Coll, Ophthalmol Dept, Sialkot, Pakistan
[12] Univ Incarnate Word, Rosenberg Sch Optometry, San Antonio, TX USA
[13] Multan Med & Dent Coll, Ophthalmol Dept, Multan, Pakistan
关键词
Acute posterior multifocal placoid pigment epitheliopathy; choriocapillaris; choroiditis; optical coherence tomography angiography; primary inflammatory choriocapillaropathies; quantitative analysis of choriocapillaris; serpiginous choroiditis; Uveitis; COHERENCE TOMOGRAPHY ANGIOGRAPHY; PLACOID PIGMENT EPITHELIOPATHY; OCT-ANGIOGRAPHY;
D O I
10.1080/09273948.2020.1800047
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Objective: To assess the reliability and validity of gray level co-occurrence matrices (GLCM) in the quantification of choriocapillaris and describe GLCM features in normal and eyes with resolved acute posterior multifocal placoid pigment epitheliopathy (APMPPE) and serpiginous choroiditis (SC). Methods: In this, multicenter, reliability, validity and comparative study; OCTA was performed on eyes with resolved APMPPE and SC and normal individuals. CC texture classification, low flow area measurements and GLCM feature extraction were performed. Results: A total of 13 normal, 8 APMPPE and 15 SC eyes were analyzed. All GLCM parameters demonstrated an excellent reliability. GLCM parameters were differently distributed across the three groups. Decision-tree based on the random forest predictive model provided an overall accuracy of 86% in classifying the three groups using GLCM features. Conclusion: These data demonstrated an excellent reliability and validity of GLCM features in quantifying the choriocapillaris in healthy and diseased eyes.
引用
收藏
页码:417 / 423
页数:7
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