scholarly journals In vivo Confocal Microscopy in Differentiating Ipilimumab-Induced Anterior Uveitis from Metastatic Uveal Melanoma

2016 ◽  
Vol 7 (3) ◽  
pp. 404-409 ◽  
Author(s):  
Hayyam Kiratli ◽  
Mehmet C. Mocan ◽  
Murat İrkeç

This report aims to describe the facilitating role of in vivo confocal microscopy in differentiating inflammatory cells from a metastatic process in a patient with uveal melanoma and multiple systemic metastases who developed anterior uveitis while under ipilimumab treatment. A 43-year-old woman developed systemic metastases 11 months after treatment of amelanotic choroidal melanoma in her right eye with 30 Gy fractionated stereotactic radiotherapy. She first received temozolomide and then 4 cycles of ipilimumab 3 mg/kg/day. After the third cycle, severe anterior uveitis with coarse pigment clumps on the lens was seen in the left eye. Her left visual acuity declined from 20/20 to 20/80. Confocal microscopy revealed globular keratic precipitates with hyperreflective inclusions and endothelial blebs all suggestive of granulomatous uveitis. The uveitic reaction subsided after a 3-week course of topical corticosteroids, and her visual acuity was 20/20 again. Although uveal melanoma metastatic to the intraocular structures of the fellow eye is exceedingly rare and metastasis masquerading uveitis without any identifiable uveal lesion is even more unusual, it was still mandatory to rule out this distant possibility in our particular patient who already had widespread systemic metastases. Confocal microscopy was a useful complementary tool by identifying the inflammatory features of the keratic precipitates.

2008 ◽  
Vol 86 ◽  
pp. 0-0
Author(s):  
M LABETOULLE ◽  
A LABBE ◽  
B DUPAS ◽  
I DE MONCHY ◽  
N POGORZALEK ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252653
Author(s):  
Fan Xu ◽  
Yikun Qin ◽  
Wenjing He ◽  
Guangyi Huang ◽  
Jian Lv ◽  
...  

Purpose Infiltration of activated dendritic cells and inflammatory cells in cornea represents an important marker for defining corneal inflammation. Deep transfer learning has presented a promising potential and is gaining more importance in computer assisted diagnosis. This study aimed to develop deep transfer learning models for automatic detection of activated dendritic cells and inflammatory cells using in vivo confocal microscopy images. Methods A total of 3453 images was used to train the models. External validation was performed on an independent test set of 558 images. A ground-truth label was assigned to each image by a panel of cornea specialists. We constructed a deep transfer learning network that consisted of a pre-trained network and an adaptation layer. In this work, five pre-trained networks were considered, namely VGG-16, ResNet-101, Inception V3, Xception, and Inception-ResNet V2. The performance of each transfer network was evaluated by calculating the area under the curve (AUC) of receiver operating characteristic, accuracy, sensitivity, specificity, and G mean. Results The best performance was achieved by Inception-ResNet V2 transfer model. In the validation set, the best transfer system achieved an AUC of 0.9646 (P<0.001) in identifying activated dendritic cells (accuracy, 0.9319; sensitivity, 0.8171; specificity, 0.9517; and G mean, 0.8872), and 0.9901 (P<0.001) in identifying inflammatory cells (accuracy, 0.9767; sensitivity, 0.9174; specificity, 0.9931; and G mean, 0.9545). Conclusions The deep transfer learning models provide a completely automated analysis of corneal inflammatory cellular components with high accuracy. The implementation of such models would greatly benefit the management of corneal diseases and reduce workloads for ophthalmologists.


Ophthalmology ◽  
2010 ◽  
Vol 117 (2) ◽  
pp. 373-380 ◽  
Author(s):  
Padmamalini Mahendradas ◽  
Rohit Shetty ◽  
Kannan M. Narayana ◽  
Bhujang K. Shetty

Author(s):  
Padmamalini Mahendradas ◽  
Thanemozhi Srinivasan ◽  
Ankush Kawali ◽  
Ramesh Venkatesh ◽  
Diganta Hazarika ◽  
...  

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