TOSCA-Imaging--developing Internet based image processing software for screening and diagnosis of diabetic retinopathy.
The primary aim of TOSCA-Imaging, which was a part of the TOSCA Project financed by EU's Fifth Framework IST Programme, was to develop Internet based software and image data bases for screening and diagnosis of diabetic retinopathy and implementing it into a real life situation. The work consisted of: 1) Construction of an Internet based communication platform for transmitting and analyzing retinal images. 2) Implementation of routines for detecting the first microaneurysm (transition from normal to pathologic), detecting patients needing referral for treatment (presence of venous beading or hard exudates near the fovea), and for serial analysis (image alignment). 3) Construction of a reference image data base. A preliminary validation showed that decisions that depended on a precise detection of individual lesions, e.g. the detection of normality, had a sensitivity and specificity of around 80%, whereas decisions that depended on the detection of lesion patterns, e.g. clinically significant macular oedema, had a sensitivity and specificity of more than 95%. Validation of the reference image data base by double grading by two expert graders suggested a sensitivity and a specificity of just below 90% for any lesion and of more than 95% for predicting the overall retinopathy grade. TOSCA-Imaging has succeeded in its primary aim of developing Internet based software and implementing it into a real life situation, integrating work within image processing done in four different European countries (England, Germany, Ireland, and Denmark) to be accessed from one Internet web site.
Hejlesen
Ole
O
Department of Health Science and Technology, Aalborg University, Fredrik Bajersvej 7D1, DK-9220 Aalborg, Denmark.
Ege
Bernhard
B
Englmeier
Karl-Hans
KH
Aldington
Steve
S
McCanna
Leo
L
Bek
Toke
T
D000465:Algorithms; D019992:Databases as Topic; D003930:Diabetic Retinopathy / Q000175:diagnosis*; D003936:Diagnosis, Computer-Assisted; D005451:Fluorescein Angiography; D006801:Humans; D007091:Image Processing, Computer-Assisted; D020407:Internet; D012171:Retinal Vessels / Q000473:pathology; D012680:Sensitivity and Specificity; D012984:Software; D017216:Telemedicine