Positive Interaction Between Light Iris Color and Ultraviolet Radiation in Relation to the Risk of Uveal Melanoma

Ophthalmology ◽  
2009 ◽  
Vol 116 (2) ◽  
pp. 340-348 ◽  
Author(s):  
Andrea Schmidt-Pokrzywniak ◽  
Karl-Heinz Jöckel ◽  
Norbert Bornfeld ◽  
Wolfgang Sauerwein ◽  
Andreas Stang
Cancers ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1700
Author(s):  
Melissa Chalada ◽  
Charmaine A. Ramlogan-Steel ◽  
Bijay P. Dhungel ◽  
Christopher J. Layton ◽  
Jason C. Steel

Uveal melanoma (UM) is currently classified by the World Health Organisation as a melanoma caused by risk factors other than cumulative solar damage. However, factors relating to ultraviolet radiation (UVR) susceptibility such as light-coloured skin and eyes, propensity to burn, and proximity to the equator, frequently correlate with higher risk of UM. These risk factors echo those of the far more common cutaneous melanoma (CM), which is widely accepted to be caused by excessive UVR exposure, suggesting a role of UVR in the development and progression of a proportion of UM. Indeed, this could mean that countries, such as Australia, with high UVR exposure and the highest incidences of CM would represent a similarly high incidence of UM if UVR exposure is truly involved. Most cases of UM lack the typical genetic mutations that are related to UVR damage, although recent evidence in a small minority of cases has shown otherwise. This review therefore reassesses statistical, environmental, anatomical, and physiological evidence for and against the role of UVR in the aetiology of UM.


2017 ◽  
Vol 95 ◽  
Author(s):  
A. Goh ◽  
C. Ramlogan-Steel ◽  
A. Jayachandran ◽  
J. Steel ◽  
C. Layton

Ophthalmology ◽  
2021 ◽  
Author(s):  
Annemijn P.A. Wierenga ◽  
Niels J. Brouwer ◽  
Maria Chiara Gelmi ◽  
Robert M. Verdijk ◽  
Marc-Henri Stern ◽  
...  

1994 ◽  
Vol 1 (1) ◽  
pp. 27-30 ◽  
Author(s):  
Paul J. Dolin ◽  
Alexander J. E. Foss ◽  
John L. Hungerford

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Peter A. Johansson ◽  
Kelly Brooks ◽  
Felicity Newell ◽  
Jane M. Palmer ◽  
James S. Wilmott ◽  
...  

Author(s):  
Haihan Zhang ◽  
Yueming Liu ◽  
Kai Zhang ◽  
Shiqi Hui ◽  
Yu Feng ◽  
...  

Previous studies have shown that light iris color is a predisposing factor for the development of uveal melanoma (UM) in a population of Caucasian ancestry. However, in all these studies, a remarkably low percentage of patients have brown eyes, so we applied deep learning methods to investigate the correlation between iris color and the prevalence of UM in the Chinese population. All anterior segment photos were automatically segmented with U-NET, and only the iris regions were retained. Then the iris was analyzed with machine learning methods (random forests and convolutional neural networks) to obtain the corresponding iris color spectra (classification probability). We obtained satisfactory segmentation results with high consistency with those from experts. The iris color spectrum is consistent with the raters’ view, but there is no significant correlation with UM incidence.


Author(s):  
William J. Baxter

In this form of electron microscopy, photoelectrons emitted from a metal by ultraviolet radiation are accelerated and imaged onto a fluorescent screen by conventional electron optics. image contrast is determined by spatial variations in the intensity of the photoemission. The dominant source of contrast is due to changes in the photoelectric work function, between surfaces of different crystalline orientation, or different chemical composition. Topographical variations produce a relatively weak contrast due to shadowing and edge effects.Since the photoelectrons originate from the surface layers (e.g. ∼5-10 nm for metals), photoelectron microscopy is surface sensitive. Thus to see the microstructure of a metal the thin layer (∼3 nm) of surface oxide must be removed, either by ion bombardment or by thermal decomposition in the vacuum of the microscope.


2006 ◽  
Vol 175 (4S) ◽  
pp. 260-260
Author(s):  
Nicholas J. Rukin ◽  
Samuel J. Moon ◽  
Dhaval Bodiwala ◽  
Christopher J. Luscombe ◽  
Mark F. Saxby ◽  
...  

2015 ◽  
Vol 21 ◽  
pp. 194-195
Author(s):  
Rokshana Thanadar ◽  
Uzma Siddiqui ◽  
Marie Lithgow ◽  
Runhua Hou

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