首页> 外文期刊>Ultrasound in Medicine and Biology >Relevance of sonographic B-mode criteria and computer-aided ultrasonic tissue characterization in differential/diagnosis of solid breast masses.
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Relevance of sonographic B-mode criteria and computer-aided ultrasonic tissue characterization in differential/diagnosis of solid breast masses.

机译:超声B型标准和计算机辅助超声组织表征在乳腺肿块鉴别/诊断中的相关性。

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We aimed to evaluate the differential diagnostic value of a method of computer-assisted texture analysis in comparison to established ultrasonographic B-mode characteristics in the examination of solid breast masses. At two centers, 77 patients presenting with a solid mass on B-mode scan were studied at 7.5 MHz. Description of B-mode appearance included assessment of tumor shape, borders, presence of an echogenic rim, tissue architecture, internal echo structure, absorption and elasticity. For statistical pattern recognition, the following parameters were used: form factor, mean grey level, signal-to-noise ratio, mean gradient and correlation from the co-occurrence matrix. At center 1, the most decisive parameter for differential diagnosis was distortion of tissue architecture (sensitivity, SN, 83%; specificity, SP, 92%) and, at center 2, relation to the adjacent tissue (SN 93%, SP 92%). Among texture parameters, best discrimination was achieved for correlation from the co-occurrence matrix at center 1 (SN 58%, SP 73%) and for form factor at center 2 (SN 93%, SP 77%). Among sonographic criteria, the highest contribution to the diagnosis was found for an unsharp border (odds ratio, OR, 12.2), architectural distortion (OR, 8.6), fixation to skin or chest wall (OR, 9.0) and fixation to adjacent breast parenchyma (OR, 8.8), according to texture analysis for parameters form factor (OR 4.0) and correlation from the co-occurrence matrix (OR 4.7). Ultrasonographic texture analysis can be helpful as an additional parameter in differential diagnosis of breast tumors, but did not reach differential diagnostic accuracy of sonomorphologic features.
机译:我们旨在评估与乳腺实性肿块检查中已建立的B超特征相比较的计算机辅助纹理分析方法的鉴别诊断价值。在两个中心,以7.5 MHz的频率研究了77例在B型扫描中出现固体肿块的患者。 B模式出现的描述包括肿瘤形状,边界,回声边缘的存在,组织结构,内部回声结构,吸收和弹性的评估。对于统计模式识别,使用以下参数:形状因子,平均灰度,信噪比,平均梯度和来自共现矩阵的相关性。在中心1,决定性诊断的最决定性参数是组织结构的变形(敏感性,SN,83%;特异性,SP,92%),在中心2,与相邻组织的关系(SN,93%,SP 92%) )。在纹理参数中,对于中心1处的共现矩阵(SN 58%,SP 73%)和中心2处的形状因子(SN 93%,SP 77%),相关性达到了最佳区分。在超声检查标准中,对边界不清晰(比值比,OR,12.2),建筑畸变(OR,8.6),固定在皮肤或胸壁(OR,9.0)以及相邻的乳腺实质的诊断中,对诊断的贡献最大。 (OR,8.8),根据纹理分析对参数形状因子(OR 4.0)和来自共现矩阵的相关性(OR 4.7)。超声纹理分析可以作为乳腺肿瘤鉴别诊断的附加参数,但并未达到超声形态特征的鉴别诊断准确性。

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