Evaluation of Intra-Tumoral Vascularization in Hepatocellular Carcinomas.

Evaluation of Intra-Tumoral Vascularization in Hepatocellular Carcinomas.
复制标题

肝细胞癌瘤内血管化的评估

DOI:
10.3389/fmed.2020.584250
复制
发表时间:
2020
影响因子:
3.9
通讯作者:
Liang T
Liang T
中科院分区:
医学3区
文献类型:
--
作者:
Zhang Q;Wu J;Bai X;Liang T

文献摘要

参考文献

被引文献

相似文献

肿瘤内新生血管对肿瘤生长、转移和治疗具有复杂的影响。在过去的30年里,微血管密度(MVD)已成为实验室和临床评价血管生成的标准方法。肝细胞癌(HCC)是一种典型的高血管化肿瘤,MVD对预后的预测价值仍存在争议。根据以前的观点,这已归因于热点的确定,计数方法,血管内皮标志物,以及高和低血管密度的不同定义;然而,肿瘤血管生成模式的异质性应被考虑在内。人工智能和算法上的突破,可以提高MVD测量的客观性和可重复性,从而节省大量人力。抗血管生成治疗是目前肝癌唯一有效的系统治疗方法,利用影像学技术辅助MVD测量有望成为评价疗效的可靠指标。多结节肝细胞癌中的MVD代表了一个具有巨大研究潜力的主题领域,探索它可能会促进我们对肿瘤异质性的理解。
Intratumoral neovascularization has intricate effects on tumor growth, metastasis, and treatment. Over the last 30 years, Microvessel density (MVD) has been the standard method for laboratory and clinical evaluation of angiogenesis. Hepatocellular carcinoma (HCC) is a typical hypervascularized tumor, and the predictive value of MVD for prognosis is still controversial. According to previous viewpoints, this has been attributed to the determination of hotspot, counting methods, vascular endothelial markers, and different definitions of high and low vascular density; however, the heterogeneity of tumor angiogenesis patterns should be factored. The breakthroughs in artificial intelligence and algorithm can improve the objectivity and repeatability of MVD measurement, thus saving a lot of manpower. Presently, anti-angiogenesis therapy is the only effective systematic treatment for liver cancer, and the use of imaging technology-assisted MVD measurement is expected to be a reliable index for evaluating the curative effect. MVD in multinodular hepatocellular carcinoma represents a subject area with huge understudied potential, and exploring it might advance our understanding of tumor heterogeneity.
DOI: 10.1245/s10434-009-0900-z
发表时间: 2010-06
影响因子: 3.7
作者:
Zeng W;Gouw AS;van den Heuvel MC;Molema G;Poppema S;van der Jagt EJ;de Jong KP
通讯作者: de Jong KP
DOI: 10.1016/j.jconrel.2015.08.055
发表时间: 2015-12-10
影响因子: 10.8
作者:
Al-Abd, Ahmed M.;Aljehani, Zekra K.;Torchilin, Vladimir P.
通讯作者: Torchilin, Vladimir P.
DOI: 10.1007/s10620-008-0346-3
发表时间: 2009-02-01
影响因子: 3.1
作者:
Huang, Geng-Wen;Tao, Yi-Ming;Ding, Xiang
通讯作者: Ding, Xiang
DOI: 10.1245/s10434-019-07227-9
发表时间: 2019-05-01
影响因子: 3.7
作者:
Erstad, Derek J.;Tanabe, Kenneth K.
通讯作者: Tanabe, Kenneth K.
DOI: 10.1016/j.humpath.2017.11.011
发表时间: 2018-03
期刊: Human pathology
影响因子: 3.3
作者:
Chianchiano P;Pezhouh MK;Kim A;Luchini C;Cameron A;Weiss MJ;He J;Voltaggio L;Oshima K;Anders RA;Wood LD
通讯作者: Wood LD