Comparing optical coherence tomography findings in different aetiologies of infectious necrotising retinitis

2017 ◽  
Vol 102 (4) ◽  
pp. 433-437 ◽  
Author(s):  
Alessandro Invernizzi ◽  
Aniruddha Kishandutt Agarwal ◽  
Vittoria Ravera ◽  
Chiara Mapelli ◽  
Agostino Riva ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Choroidal Thickness ◽  
Outer Nuclear Layer ◽  
Variable Degree ◽  
Optical Coherence ◽  
Laboratory Findings ◽  
Varicella Zoster ◽  
Viral Aetiology ◽  
Retinal Oedema ◽  
Simplex Virus

AimsTo compare optical coherence tomography (OCT) features of active necrotising infectious retinitis (NIR) due to toxoplasmosis or herpesviruses and to determine distinctive OCT signs for these two causes of infectious retinitis.MethodsOCT scans from eyes with active NIR due to varicella zoster virus (VZV), herpes simplex virus (HSV), cytomegalovirus (CMV), and toxoplasmosis (TOXO) were reviewed. All images were evaluated for the presence of previously described OCT findings in TOXO-NIR and compared with the viral group. New OCT findings were recorded and compared. Retinal and choroidal thickness were measured at the site of NIR and compared.Results10 eyes diagnosed with TOXO-NIR and 13 eyes affected by viral-NIR (9 CMV and 4 VZV) were analysed. All eyes showed full thickness hyper-reflectivity, disruption of the retina and a variable degree of vitritis. Among previously described OCT signs, hyper-reflective oval deposits and hypo-reflectivity of the choroid had a higher prevalence in TOXO (p=0.018 and p<0.0001, respectively). Among the new signs, hyper-reflective round deposits along the posterior hyaloid, retrohyaloid hyper-reflective spots and a disruption of the choroidal architecture were more frequent in TOXO eyes (all p<0.01). Intra-retinal oedema and hyper-reflective vertical strips within the outer nuclear layer were suggestive of a viral aetiology (p=0.045). Retinal thickness at the site of NIR did not differ between the two groups. Choroidal thickness was significantly higher in TOXO eyes (p=0.01).ConclusionsThe diagnosis of NIR is largely based on clinical and laboratory findings. OCT changes may be useful in differentiating different causes of NIR.

scholarly journals En face image-based classification of diabetic macular edema using swept source optical coherence tomography

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Atsushi Fujiwara ◽  
Yuki Kanzaki ◽  
Shuhei Kimura ◽  
Mio Hosokawa ◽  
Yusuke Shiode ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Macular Edema ◽  
Diabetic Macular Edema ◽  
Outer Nuclear Layer ◽  
Subretinal Fluid ◽  
Plexiform Layer ◽  
Optical Coherence ◽  
Fiber Layer ◽  
Swept Source ◽  
En Face

AbstractThis retrospective study was performed to classify diabetic macular edema (DME) based on the localization and area of the fluid and to investigate the relationship of the classification with visual acuity (VA). The fluid was visualized using en face optical coherence tomography (OCT) images constructed using swept-source OCT. A total of 128 eyes with DME were included. The retina was segmented into: Segment 1, mainly comprising the inner nuclear layer and outer plexiform layer, including Henle’s fiber layer; and Segment 2, mainly comprising the outer nuclear layer. DME was classified as: foveal cystoid space at Segment 1 and no fluid at Segment 2 (n = 24), parafoveal cystoid space at Segment 1 and no fluid at Segment 2 (n = 25), parafoveal cystoid space at Segment 1 and diffuse fluid at Segment 2 (n = 16), diffuse fluid at both segments (n = 37), and diffuse fluid at both segments with subretinal fluid (n = 26). Eyes with diffuse fluid at Segment 2 showed significantly poorer VA, higher ellipsoid zone disruption rates, and greater central subfield thickness than did those without fluid at Segment 2 (P < 0.001 for all). These results indicate the importance of the localization and area of the fluid for VA in DME.

scholarly journals Automatic Segmentation of Choroid Layer Using Deep Learning on Spectral Domain Optical Coherence Tomography

2021 ◽  
Vol 11 (12) ◽  
pp. 5488
Author(s):  
Wei Ping Hsia ◽  
Siu Lun Tse ◽  
Chia Jen Chang ◽  
Yu Len Huang
Keyword(s):  
Optical Coherence Tomography ◽  
Deep Learning ◽  
Choroidal Thickness ◽  
Automatic Segmentation ◽  
Average Error ◽  
Good Prediction ◽  
Optical Coherence ◽  
Learning Method ◽  
Subfoveal Choroidal Thickness ◽  
Fully Connected

The purpose of this article is to evaluate the accuracy of the optical coherence tomography (OCT) measurement of choroidal thickness in healthy eyes using a deep-learning method with the Mask R-CNN model. Thirty EDI-OCT of thirty patients were enrolled. A mask region-based convolutional neural network (Mask R-CNN) model composed of deep residual network (ResNet) and feature pyramid networks (FPNs) with standard convolution and fully connected heads for mask and box prediction, respectively, was used to automatically depict the choroid layer. The average choroidal thickness and subfoveal choroidal thickness were measured. The results of this study showed that ResNet 50 layers deep (R50) model and ResNet 101 layers deep (R101). R101 U R50 (OR model) demonstrated the best accuracy with an average error of 4.85 pixels and 4.86 pixels, respectively. The R101 ∩ R50 (AND model) took the least time with an average execution time of 4.6 s. Mask-RCNN models showed a good prediction rate of choroidal layer with accuracy rates of 90% and 89.9% for average choroidal thickness and average subfoveal choroidal thickness, respectively. In conclusion, the deep-learning method using the Mask-RCNN model provides a faster and accurate measurement of choroidal thickness. Comparing with manual delineation, it provides better effectiveness, which is feasible for clinical application and larger scale of research on choroid.

scholarly journals Geographic mapping of choroidal thickness in myopic eyes using 1050-nm spectral domain optical coherence tomography

2015 ◽  
Vol 08 (04) ◽  
pp. 1550012 ◽  
Author(s):  
Qinqin Zhang ◽  
Maureen Neitz ◽  
Jay Neitz ◽  
Ruikang K. Wang
Keyword(s):  
Optical Coherence Tomography ◽  
High Myopia ◽  
Choroidal Thickness ◽  
Retinal Pigment ◽  
Reduction Rate ◽  
Radial Distance ◽  
Spectral Domain ◽  
Temporal Region ◽  
Optical Coherence ◽  
The Mean

Purpose: To provide a geographical map of choroidal thickness (CT) around the macular region among subjects with low, moderate and high myopia. Methods: 20 myopic subjects (n = 40 eyes) without other identified pathologies participated in this study: 20 eyes of ≤ 3 diopters (D) (low myopic), 10 eyes between -3 and -6D (moderate myopic), and 10 eyes of ≥ 6D (high myopic). The mean age of subjects was 30.2 years (± 7.6 years; range, 24 to 46 years). A 1050 nm spectral-domain optical coherence tomography (SD-OCT) system, operating at 120 kHz imaging rate, was used in this study to simultaneously capture 3D anatomical images of the choroid and measure intraocular length (IOL) in the subject. The 3D OCT images of the choroid were segmented into superior, inferior, nasal and temporal quadrants, from which the CT was measured, representing radial distance between the outer retinal pigment epithelium (RPE) layer and inner scleral border. Measurements were made within concentric regions centered at fovea centralis, extended to 5 mm away from fovea at 1 mm intervals in the nasal and temporal directions. The measured IOL was the distance from the anterior cornea surface to the RPE in alignment along the optical axis of the eye. Statistical analysis was performed to evaluate CT at each geographic region and observe the relationship between CT and the degree of myopia. Results: For low myopic eyes, the IOL was measured at 24.619 ± 0.016 mm. The CT (273.85 ± 49.01 μm) was greatest under fovea as is in the case of healthy eyes. Peripheral to the fovea, the mean CT decreased rapidly along the nasal direction, reaching a minimum of 180.65 ± 58.25μm at 5 mm away from the fovea. There was less of a change in thickness from the fovea in the temporal direction reaching a minimum of 234.25 ± 42.27 μm. In contrast to the low myopic eyes, for moderate and high myopic eyes, CTs were thickest in temporal region (where CT = 194.94 ± 27.28 and 163 ± 34.89 μm, respectively). Like the low myopic eyes, moderate and high myopic eyes had thinnest CTs in the nasal region (where CT = 100.84 ± 16.75 and 86.64 ± 42.6μm, respectively). High myopic eyes had the longest mean IOL (25.983 ± 0.021mm), while the IOL of moderate myopia was 25.413 ± 0.022 mm (**p < 0.001). The CT reduction rate was calculated at 31.28 μm/D (diopter) from low to moderate myopia, whilst it is 13.49 μm/D from moderate to high myopia. The similar tendency was found for the IOL reduction rate in our study: 0.265 mm/D from low to moderate myopia, and 0.137 mm/D from moderate to high myopia. Conclusion: The CT decreases and the IOL increases gradually with the increase of myopic condition. The current results support the theory that choroidal abnormality may play an important role in the pathogenesis of myopic degeneration.

scholarly journals Automated macular choroidal thickness measurement by swept-source optical coherence tomography in pseudoxanthoma elasticum

2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Rosa Dolz-Marco ◽  
María Andreu-Fenoll ◽  
Pablo Hernández-Martínez ◽  
M. Dolores Pinazo-Durán ◽  
Roberto Gallego-Pinazo
Keyword(s):  
Optical Coherence Tomography ◽  
Choroidal Thickness ◽  
Pseudoxanthoma Elasticum ◽  
Thickness Measurement ◽  
Optical Coherence ◽  
Swept Source

scholarly journals Assessment of Choroidal Thickness in Healthy and Glaucomatous Eyes Using Swept Source Optical Coherence Tomography

PLoS ONE ◽  
2014 ◽  
Vol 9 (10) ◽  
pp. e109683 ◽  
Author(s):  
Chunwei Zhang ◽  
Andrew J. Tatham ◽  
Felipe A. Medeiros ◽  
Linda M. Zangwill ◽  
Zhiyong Yang ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Choroidal Thickness ◽  
Optical Coherence ◽  
Swept Source

Assessment of choroidal vascularity index during the menstrual cycle

2021 ◽  
pp. 112067212110576
Author(s):  
Nazife Aşikgarip ◽  
Emine Temel ◽  
Kemal Örnek
Keyword(s):  
Optical Coherence Tomography ◽  
Menstrual Cycle ◽  
Prospective Study ◽  
Luteal Phase ◽  
Choroidal Thickness ◽  
Optical Coherence ◽  
Menstrual Cycles ◽  
Healthy Women ◽  
Luminal Area ◽  
Choroidal Structure

Purpose To explore the effect of menstrual cycle on choroidal vascularity index (CVI). Methods Thirty six eyes of 36 healthy women were included in this prospective study. The menstrual cycles were regular and ranged from 28 to 30 days in length. Optical coherence tomography images were obtained in 3 different phases of the menstrual cycle. The choroidal thickness (CT), total choroidal area, luminal area, stromal area, and CVI were quantified. Results Mean subfoveal, nasal and temporal CT were significantly changed in mid-luteal phase in comparison to early follicular (p = 0.018, p = 0.006 and p = 0.001, respectively) and ovulatory phases (p = 0.037, p = 0.037, and p = 0.035, respectively). Mean CVI showed a significant change in mid-luteal phase when compared with early follicular (p = 0.001) and ovulatory phases (p = 0.036). Conclusion CVI seemed to be affected in mid-luteal phase of menstrual cycle. This should be considered while analyzing choroidal structure in otherwise healthy women.

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