Literature DB >> 2053209

Echographic differentiation of histological types of intraocular melanoma.

J M Thijssen1, A M Verbeek, R L Romijn, D de Wolff-Rouendaal, J A Oosterhuis.   

Abstract

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 data were preprocessed to remove influences induced by beam diffraction and focusing. The correlations between the clinical parameters were lower than 0.5 but significant in a few cases. 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%). These figures do not enable, however, a prospective diagnosis. The correlations of the clinical parameters with the acoustic/texture parameters were investigated. The mutual correlations between the latter parameters were also assessed, the most significant (0.70) being between the speckle size and the slope of the linearized backscattering spectrum. 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 corresponding 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.

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Mesh:

Year:  1991        PMID: 2053209     DOI: 10.1016/0301-5629(91)90120-l

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  3 in total

1.  Algorithms and results of eye tissues differentiation based on RF ultrasound.

Authors:  R Jurkonis; A Janušauskas; V Marozas; D Jegelevičius; S Daukantas; M Patašius; A Paunksnis; A Lukoševičius
Journal:  ScientificWorldJournal       Date:  2012-05-02

Review 2.  Quantification of heterogeneity as a biomarker in tumor imaging: a systematic review.

Authors:  Lejla Alic; Wiro J Niessen; Jifke F Veenland
Journal:  PLoS One       Date:  2014-10-20       Impact factor: 3.240

3.  Non-invasive detection of early retinal neuronal degeneration by ultrahigh resolution optical coherence tomography.

Authors:  Debbie Tudor; Vedran Kajić; Sara Rey; Irina Erchova; Boris Považay; Bernd Hofer; Kate A Powell; David Marshall; Paul L Rosin; Wolfgang Drexler; James E Morgan
Journal:  PLoS One       Date:  2014-04-28       Impact factor: 3.240

  3 in total

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