Shelton Sarah E, Stone Jodi, Gao Fei, Zeng Donglin, Dayton Paul A
Joint Department of Biomedical Engineering, UNC Chapel Hill and NC State Raleigh, 27599, USA.
Department of Biostatistics, UNC Chapel Hill, 27599, USA.
Int J Biomed Imaging. 2020 Feb 6;2020:7862089. doi: 10.1155/2020/7862089. eCollection 2020.
The purpose of this study is to determine if microvascular tortuosity can be used as an imaging biomarker for the presence of tumor-associated angiogenesis and if imaging this biomarker can be used as a specific and sensitive method of locating solid tumors. Acoustic angiography, an ultrasound-based microvascular imaging technology, was used to visualize angiogenesis development of a spontaneous mouse model of breast cancer ( = 48). A reader study was used to assess visual discrimination between image types, and quantitative methods utilized metrics of tortuosity and spatial clustering for tumor detection. The reader study resulted in an area under the curve of 0.8, while the clustering approach resulted in the best classification with an area under the curve of 0.95. Both the qualitative and quantitative methods produced a correlation between sensitivity and tumor diameter. Imaging of vascular geometry with acoustic angiography provides a robust method for discriminating between tumor and healthy tissue in a mouse model of breast cancer. Multiple methods of analysis have been presented for a wide range of tumor sizes. Application of these techniques to clinical imaging could improve breast cancer diagnosis, as well as improve specificity in assessing cancer in other tissues. The clustering approach may be beneficial for other types of morphological analysis beyond vascular ultrasound images.
本研究的目的是确定微血管迂曲度是否可作为肿瘤相关血管生成存在的影像学生物标志物,以及对该生物标志物进行成像是否可作为定位实体瘤的一种特异且灵敏的方法。声学血管造影是一种基于超声的微血管成像技术,用于可视化自发乳腺癌小鼠模型( = 48)的血管生成发展情况。采用阅片者研究来评估图像类型之间的视觉辨别能力,并使用定量方法利用迂曲度和空间聚类指标进行肿瘤检测。阅片者研究得到的曲线下面积为0.8,而聚类方法在曲线下面积为0.95时分类效果最佳。定性和定量方法均在灵敏度与肿瘤直径之间产生了相关性。利用声学血管造影对血管几何形态进行成像,为在乳腺癌小鼠模型中区分肿瘤组织与健康组织提供了一种可靠的方法。针对多种肿瘤大小,已提出了多种分析方法。将这些技术应用于临床成像可改善乳腺癌诊断,同时提高评估其他组织癌症时的特异性。聚类方法可能对血管超声图像以外的其他类型形态学分析有益。