Morphometric analysis of tumor microvessels for detection of hepatocellular carcinoma using contrast-free ultrasound imaging: A feasibility study.
Morphometric analysis of tumor microvessels for detection of hepatocellular carcinoma using contrast-free ultrasound imaging: A feasibility study.
复制标题
DOI：
10.3389/fonc.2023.1121664
复制
发表时间：
2023
影响因子：
4.7
通讯作者：
Alizad, Azra
中科院分区：
文献类型：
--
作者：
Sabeti, Soroosh;Ternifi, Redouane;Larson, Nicholas B.;Olson, Michael C.;Atwell, Thomas D.;Fatemi, Mostafa;Alizad, Azra
本研究评估了一种无造影剂的超声微血管成像技术，以确定提取肝脏病变血管网络的形态学特征是否有助于区分良恶性肿瘤（特别是肝细胞癌）。本研究共纳入22例患者的29个病变。对超声数据进行杂波滤波、去噪和血管增强等后处理，实现微血管结构的可视化。然后通过额外的图像处理进一步表征和量化这些结构。共检查了9个形态学指标来比较不同组的病变。采用双侧Wilcoxon秩和检验进行统计分析。在恶性与良性比较中，有6个指标表现出统计学意义。仅比较HCC病例和良性肿瘤，只有三个指标有显著差异。不同恶性肿瘤（HCC、胆管癌和转移性腺癌）在任何指标上没有统计学上的显著差异。所获得的结果表明，在更大的样本量上设计基于这种形态特征的预测模型可能有助于区分良性和恶性肝脏肿块。
A contrast-free ultrasound microvasculature imaging technique was evaluated in this study to determine whether extracting morphological features of the vascular networks in hepatic lesions can be beneficial in differentiating benign and malignant tumors (hepatocellular carcinoma (HCC) in particular). A total of 29 lesions from 22 patients were included in this work. A post-processing algorithm consisting of clutter filtering, denoising, and vessel enhancement steps was implemented on ultrasound data to visualize microvessel structures. These structures were then further characterized and quantified through additional image processing. A total of nine morphological metrics were examined to compare different groups of lesions. A two-sided Wilcoxon rank sum test was used for statistical analysis. In the malignant versus benign comparison, six of the metrics manifested statistical significance. Comparing only HCC cases with the benign, only three of the metrics were significantly different. No statistically significant distinction was observed between different malignancies (HCC versus cholangiocarcinoma and metastatic adenocarcinoma) for any of the metrics. Obtained results suggest that designing predictive models based on such morphological characteristics on a larger sample size may prove helpful in differentiating benign from malignant liver masses.
登录
查看更多内容
影响因子：
2.3
作者：
Dubinsky, Theodore J.;Revels, Jonathan;Erpelding, Todd
通讯作者：
Erpelding, Todd
DOI：
10.1186/s13058-022-01511-5
发表时间：
2022-03-05
期刊：
Breast cancer research : BCR
影响因子：
--
作者：
Gu J;Ternifi R;Larson NB;Carter JM;Boughey JC;Stan DL;Fazzio RT;Fatemi M;Alizad A
通讯作者：
Alizad A
影响因子：
2.4
作者：
Hanna, Robert F.;Miloushev, Vesselin Z.;Sirlin, Claude B.
通讯作者：
Sirlin, Claude B.
影响因子：
4.8
作者：
Ippolito, Davide;Sironi, Sandro;Fazio, Ferruccio
通讯作者：
Fazio, Ferruccio
影响因子：
13.5
作者：
Burrel, M;Llovet, JM;Bruix, J
通讯作者：
Bruix, J