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Echographic differentation of intraocular melanomas by computer analysis
Author(s) -
Thijssen J. M.,
Verbeek A.M.,
Romijn R.L.,
WolfRouendaal D.,
Oosterhuis J A
Publication year - 1992
Publication title -
acta ophthalmologica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.534
H-Index - 87
eISSN - 1755-3768
pISSN - 1755-375X
DOI - 10.1111/j.1755-3768.1992.tb04920.x
Subject(s) - linear discriminant analysis , receiver operating characteristic , medicine , texture (cosmology) , pathology , pattern recognition (psychology) , radiology , artificial intelligence , computer science , image (mathematics)
The aim of this study was to assess the differentiation of histologically different types of choroidal melanomas by means of clinical and quantitative acoustic/texture parameters of echograms. Clinical parameters were graded by morphological, kinetic and quantitative statements about the A‐ and B‐mode echograms by a skilled diagnostician. Acoustic/texture parameters were obtained by processing and analysing radio frequency, AM‐demodulated and FM‐demodulated echograms. The latter data were preprocessed to remove influence induced by beam diffraction and focusing. The best set of four clinical echographic parameters enabled a retrospective classification of spindle type melanomas vs. mixed + epithelioid type melanomas with an accuracy of 77% (area under the ROC‐curve of 86%). The discriminant analysis performed with the best four acoustic/texture parameters (n = 30) yielded a sensitivity of 89%, a specificity of 92%, and an area under the ROC‐curve which corresponds to a probability of correct classification of 96.6%. When using these data prospectively to classify tumours of unknown cell type (n = 21), this classification could be performed in 86% of cases.