scholarly journals Feasibility of support vector machine learning in age‐related macular degeneration using small sample yielding sparse optical coherence tomography data

2019 ◽  
Vol 97 (5) ◽  
Author(s):  
Gwenolé Quellec ◽  
Jens Kowal ◽  
Pascal W. Hasler ◽  
Hendrik P. N. Scholl ◽  
Sandrine Zweifel ◽  
...  
Keyword(s):  
Machine Learning ◽  
Support Vector Machine ◽  
Optical Coherence Tomography ◽  
Macular Degeneration ◽  
Small Sample ◽  
Age Related Macular Degeneration ◽  
Support Vector ◽  
Optical Coherence ◽  
Age Related ◽  
Tomography Data

scholarly journals Fully Automated Robust System to Detect Retinal Edema, Central Serous Chorioretinopathy, and Age Related Macular Degeneration from Optical Coherence Tomography Images

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Samina Khalid ◽  
M. Usman Akram ◽  
Taimur Hassan ◽  
Ammara Nasim ◽  
Amina Jameel
Keyword(s):  
Optical Coherence Tomography ◽  
Macular Degeneration ◽  
Central Serous Chorioretinopathy ◽  
Disease Diagnosis ◽  
Age Related Macular Degeneration ◽  
Automated System ◽  
Support Vector ◽  
Optical Coherence ◽  
Retinal Edema ◽  
Age Related

Maculopathy is the excessive damage to macula that leads to blindness. It mostly occurs due to retinal edema (RE), central serous chorioretinopathy (CSCR), or age related macular degeneration (ARMD). Optical coherence tomography (OCT) imaging is the latest eye testing technique that can detect these syndromes in early stages. Many researchers have used OCT images to detect retinal abnormalities. However, to the best of our knowledge, no research that presents a fully automated system to detect all of these macular syndromes is reported. This paper presents the world’s first ever decision support system to automatically detect RE, CSCR, and ARMD retinal pathologies and healthy retina from OCT images. The automated disease diagnosis in our proposed system is based on multilayered support vector machines (SVM) classifier trained on 40 labeled OCT scans (10 healthy, 10 RE, 10 CSCR, and 10 ARMD). After training, SVM forms an accurate decision about the type of retinal pathology using 9 extracted features. We have tested our proposed system on 2819 OCT scans (1437 healthy, 640 RE, and 742 CSCR) of 502 patients from two different datasets and our proposed system correctly diagnosed 2817/2819 subjects with the accuracy, sensitivity, and specificity ratings of 99.92%, 100%, and 99.86%, respectively.

A Comparison of Radial and Horizontal Macular Optical Coherence Tomography on Detection of Macular Pathology: A Prospective Study at an Academic Institution

2021 ◽  
pp. 247412642199705
Author(s):  
Halward M.J. Blegen ◽  
Samuel D. Hobbs ◽  
Reggie Taylor ◽  
Andrew L. Plaster ◽  
Paul M. Drayna
Keyword(s):  
Optical Coherence Tomography ◽  
Prospective Study ◽  
Macular Degeneration ◽  
Epiretinal Membrane ◽  
Central Serous Chorioretinopathy ◽  
Age Related Macular Degeneration ◽  
Optical Coherence ◽  
Age Related ◽  
Macular Diseases ◽  
A Prospective Study

Purpose: Optical coherence tomography (OCT) is useful in diagnosing and monitoring retinal pathology such as age-related macular degeneration, diabetic macular edema (DME), central serous chorioretinopathy, and epiretinal membrane, among others. This study compared the ability of horizontal (H) 25-, 13-, and 7-cut macular OCT vs 24-, 12-, and 6-cut radial (R) macular OCT in identifying various macular pathology. Methods: This was a prospective study of 161 established patients evaluated at Wilford Hall Eye Center Retina Clinic between September and October of 2019. Pathology included age-related macular degeneration, central serous chorioretinopathy, DME, and epiretinal membrane, among others. Patients obtained 25-, 13-, and 7-cut H raster OCT as well as 24-, 12-, and 6-cut R OCT. Primary outcomes were sensitivity in detecting macular fluid and each macular abnormality. Results: The 24-cut radial (R24) OCT equally or out-performed the H25 (horizontal 25-cut OCT) in detecting macular fluid across all pathological groups. Generally, a higher number of cuts correlated with better detection of fluid. In detecting any macular abnormalities, H25, R24, and R12 had 100% sensitivity. R6 OCT had near 100% sensitivity across all groups, except for DME (95%). Overall, R OCT had better sensitivity (0.960) than H OCT (0.907) in detecting macular pathology. Conclusions: R outperformed H macular OCT in detecting fluid and other abnormalities. Clinically, both scanning patterns can be used by ophthalmologists in diagnosis and management of commonly encountered macular diseases. Technicians may be able to use a variety of these scans to screen for pathology prior to physician evaluation.

scholarly journals The Spectrum of Central Choriocapillaris Abnormalities on Swept-Source Optical Coherence Tomography Angiography in the Fellow Eye of Unilateral Exudative Age-Related Macular Degeneration Patients: From Flow Deficits to Subclinical Non-Exudative Neovascularization

2021 ◽  
Vol 10 (12) ◽  
pp. 2658
Author(s):  
Alexis Khorrami Kashi ◽  
Eric Souied ◽  
Selim Fares ◽  
Enrico Borrelli ◽  
Vittorio Capuano ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Macular Degeneration ◽  
Optical Coherence Tomography Angiography ◽  
Clinical Findings ◽  
Age Related Macular Degeneration ◽  
Optical Coherence ◽  
Swept Source ◽  
Exudative Amd ◽  
Age Related ◽  
Fellow Eyes

We evaluated the spectrum of choriocapillaris (CC) abnormalities in the fellow eyes of unilateral exudative age-related macular degeneration (AMD) patients using swept-source optical coherence tomography angiography (SS-OCTA). Fellow eyes of unilateral exudative AMD patients were prospectively included between May 2018 and October 2018. Patients underwent a multimodal imaging including a SS-OCTA. Demographics and clinical findings were analyzed. The estimated prevalence of macular neovascularization (MNV) was computed. Number and size of flow deficits (FDs) and percentage of flow deficits (FD%) were computed on the compensated CC flow images with the Fiji software. We included 97 eyes of 97 patients (mean age was 80 ± 7.66 years, 39 males, 58 females). The prevalence of MNV in the studied eyes was 8.25% (8/97 eyes). In the 89 non-neovascular eyes, FD% averaged 45.84% ± 11.63%, with a corresponding total area of FDs of 4.19 ± 1.12 mm2. There was a higher prevalence of drusenoid pigment epithelial detachment in eyes with subclinical neovascularization (p = 0.021). Fellow eyes with unilateral exudative AMD encompassed a series of CC abnormalities, from FDs of the aging CC to subclinical non-exudative MNV.

Sign in / Sign up

Export Citation Format

Share Document