Sellami Lamia, Ben Sassi O, Chtourou Khalil, Ben Hamida A
IEEE Trans Nanobioscience. 2015 Oct;14(7):740-5. doi: 10.1109/TNB.2015.2486621. Epub 2015 Oct 26.
This research concerned a clinical need for precise breast cancer lesion characterization imaged by ultrasound sequences. Using therefore BI-RADS features that would be carefully extracted, the purpose of this study could be mainly to prove and to demonstrate the possibility of surveying precisely the changing characteristics of a breast cancer lesion within a considered ultrasound images' sequence. This was in fact a clinical need of a computer aided diagnosis (CAD) system permitting flexible and convivial clinical analysis of multi-slices' ultrasound breast cancer lesion with greater precision. The obtained results of our images' sequence breast cancer ultrasound analysis had shown the lesion form changing depending on the treated slice, as well as the values' differences for the morphological and the textural features. This would allow extracting more information about breast cancer lesions helping then radiologist to converge more rapidly and with a certain reinforced precision to the accurate clinical action to conduct. Such results would be reassembled and rearranged for constituting one computer aided diagnosis (CAD) system that could be provided for clinical explorations permitting on the other hand to avoid possible confusion between benign and malignant masses.
这项研究涉及通过超声序列对乳腺癌病变进行精确特征描述的临床需求。因此,利用精心提取的BI-RADS特征,本研究的目的主要是证明并展示在考虑的超声图像序列中精确监测乳腺癌病变变化特征的可能性。这实际上是计算机辅助诊断(CAD)系统的临床需求,该系统能够以更高的精度对多层超声乳腺癌病变进行灵活且便捷的临床分析。我们对图像序列进行的乳腺癌超声分析结果表明,病变形态随所处理的切片不同而变化,形态学和纹理特征的值也存在差异。这将有助于提取更多关于乳腺癌病变的信息,从而帮助放射科医生更快且更精确地确定准确的临床行动方案。这些结果将被重新组合和排列,以构建一个计算机辅助诊断(CAD)系统,用于临床检查,另一方面可避免在良性和恶性肿块之间可能产生的混淆。