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通过计算机分析对眼内黑色素瘤进行超声鉴别

Echographic differentiation of intraocular melanomas by computer analysis.

作者信息

Thijssen J M, Verbeek A M, Romijn R L, de Wolf-Rouendaal D, Oosterhuis J A

机构信息

Institute of Ophthalmology, University of Nijmegen.

出版信息

Acta Ophthalmol Suppl (1985). 1992(204):26-34. doi: 10.1111/j.1755-3768.1992.tb04920.x.

DOI:10.1111/j.1755-3768.1992.tb04920.x
PMID:1332390
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 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.

摘要

本研究的目的是通过超声心动图的临床和定量声学/纹理参数来评估组织学上不同类型脉络膜黑色素瘤的分化情况。临床参数由一位经验丰富的诊断医生根据A模式和B模式超声心动图的形态、动力学和定量描述进行分级。声学/纹理参数通过对射频、调幅解调及调频解调后的超声心动图进行处理和分析获得。对后一组数据进行预处理以消除波束衍射和聚焦所产生的影响。最佳的四个临床超声参数组合能够对梭形黑色素瘤与混合+上皮样黑色素瘤进行回顾性分类,准确率为77%(ROC曲线下面积为86%)。用最佳的四个声学/纹理参数(n = 30)进行判别分析,灵敏度为89%,特异性为92%,ROC曲线下面积对应正确分类概率为96.6%。当前瞻性地使用这些数据对未知细胞类型的肿瘤(n = 21)进行分类时,86%的病例能够实现这种分类。

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Echographic differentiation of intraocular melanomas by computer analysis.通过计算机分析对眼内黑色素瘤进行超声鉴别
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