Suppr超能文献

采用二维局部正则化应变估计方法观察35个乳腺病变在体内对压迫的反应。

In Vivo response to compression of 35 breast lesions observed with a two-dimensional locally regularized strain estimation method.

作者信息

Brusseau Elisabeth, Detti Valérie, Coulon Agnès, Maissiat Emmanuèle, Boublay Nawele, Berthezène Yves, Fromageau Jérémie, Bush Nigel, Bamber Jeffrey

机构信息

Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, France.

Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, France.

出版信息

Ultrasound Med Biol. 2014 Feb;40(2):300-12. doi: 10.1016/j.ultrasmedbio.2013.02.017. Epub 2013 Dec 6.

Abstract

The objective of this study was to assess the in vivo performance of our 2-D locally regularized strain estimation method with 35 breast lesions, mainly cysts, fibroadenomas and carcinomas. The specific 2-D deformation model used, as well as the method's adaptability, led to an algorithm that is able to track tissue motion from radiofrequency ultrasound images acquired in clinical conditions. Particular attention was paid to strain estimation reliability, implying analysis of the mean normalized correlation coefficient maps. For all lesions examined, the results indicated that strain image interpretation, as well as its comparison with B-mode data, should take into account the information provided by the mean normalized correlation coefficient map. Different trends were observed in the tissue response to compression. In particular, carcinomas appeared larger in strain images than in B-mode images, resulting in a mean strain/B-mode lesion area ratio of 2.59 ± 1.36. In comparison, the same ratio was assessed as 1.04 ± 0.26 for fibroadenomas. These results are in agreement with those of previous studies, and confirm the interest of a more thorough consideration of size difference as one parameter discriminating between malignant and benign lesions.

摘要

本研究的目的是评估我们的二维局部正则化应变估计方法在35个乳腺病变(主要为囊肿、纤维腺瘤和癌)中的体内性能。所使用的特定二维变形模型以及该方法的适应性,产生了一种能够从临床条件下采集的射频超声图像跟踪组织运动的算法。特别关注了应变估计的可靠性,这意味着要分析平均归一化相关系数图。对于所有检查的病变,结果表明,应变图像的解读及其与B超数据的比较,应考虑平均归一化相关系数图提供的信息。在组织对压迫的反应中观察到了不同的趋势。特别是,癌在应变图像中比在B超图像中显得更大,导致应变/ B超病变面积的平均比值为2.59±1.36。相比之下,纤维腺瘤的相同比值评估为1.04±0.26。这些结果与先前的研究结果一致,并证实了更全面地考虑大小差异作为区分恶性和良性病变的一个参数的重要性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验