[1]赵剑强,朱青峰,刘晓,等.基于三维可视化技术对巨块型肝癌肝动脉血管分布规律的分析与研究[J].中国医学物理学杂志,2021,38(1):40-46.[doi:DOI:10.3969/j.issn.1005-202X.2021.01.007]
　ZHAO Jianqiang,ZHU Qingfeng,LIU Xiao,et al.A study of the distribution rule of artery blood vessel in giant hepatocellular carcinoma based on three-dimensional visualization technology[J].Chinese Journal of Medical Physics,2021,38(1):40-46.[doi:DOI:10.3969/j.issn.1005-202X.2021.01.007]
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基于三维可视化技术对巨块型肝癌肝动脉血管分布规律的分析与研究()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
38卷
期数:
2021年第1期
页码:
40-46
栏目:
医学影像物理
出版日期:
2021-01-29

文章信息/Info

Title:
A study of the distribution rule of artery blood vessel in giant hepatocellular carcinoma based on three-dimensional visualization technology
文章编号:
1005-202X（2021）01-0040-07
作者:
赵剑强1; 朱青峰2; 刘晓1; 鲁一桐1; 刘东艳4; 秦瑞平3; 谢家馨3
1.河北医科大学医学影像学院， 河北 石家庄 050000； 2.河北医科大学第二医院影像科， 河北 石家庄 050000； 3.河北医科大学医学影像实验室， 河北 石家庄 050000； 4.河北医科大学数学教研室， 河北 石家庄 050000
Author(s):
ZHAO Jianqiang1;  ZHU Qingfeng2;  LIU Xiao1;  LU Yitong1;  LIU Dongyan4;  QIN Ruiping3;  XIE Jiaxin3
1. School of Medical Imaging, Hebei Medical University, Shijiazhuang 050000, China 2. Department of Imaging, the Second Hospital of Hebei Medical University, Shijiazhuang 050000, China 3. Intelligent Medical Imaging Laboratory, Hebei Medical University, Shijiazhuang 050000, China 4. Department of Mathematics, Hebei Medical University, Shijiazhuang 050000, China
关键词:
巨块型肝癌; 三维可视化; 肝动脉血管; 肿瘤血管
Keywords:
Keywords: giant hepatocellular carcinoma 3D visualization hepatic arterial blood vessels tumor blood vessels
分类号:
R318；R735.7
DOI:
DOI:10.3969/j.issn.1005-202X.2021.01.007
文献标志码:
A
摘要:
目的：基于三维可视化技术对CT数据处理、分析，研究巨块型肝癌肝动脉的分布规律。方法：收集93例正常人（正常组）和93例巨块型肝癌患者（肝癌组）CT数据，利用IPS软件三维重建，研究正常组与肝癌组肝动脉的差异以分析其变化规律。结果：肝癌组肝固有动脉、肝固有动脉左支、肝固有动脉右支和肝中动脉起始处血管平均直径均比正常组相应部位血管管径增粗，差异有统计学意义（P<0.05）；肝癌组肝固有动脉右支血管分支多于正常组动脉血管分支，差异有统计学意义（P<0.05）；巨块型肝癌位于肝左叶者，与正常组对比有76.9%膈动脉分支包绕/嵌入肝癌肿瘤，可认为其为肝癌供血的新生血管；巨块型肝癌位于肝右叶和肝中部者，新生血管呈球状包绕肝癌。结论：巨块型肝癌肝动脉的变化规律可从血管直径、分支及新生血管位置研究，为临床精准介入治疗提供指导价值。
Abstract:
Objective Based on 3D visualization technology to process and analyze CT data, to study the distribution of hepatic arteries in giant hepatocellular carcinoma. Methods The CT data from 93 healthy people (normal group) and 93 giant hepatocellular carcinoma patients (liver cancer group) were collected and three-dimensionally reconstructed by using IPS software, and the differences of hepatic arteries between the normal group and the liver cancer group were studied to analyze the changes. Results The average diameter of the blood vessels at the beginning of the proper hepatic artery, the left branch of the proper hepatic artery, the right branch of the proper hepatic artery, and the middle hepatic artery in the liver cancer group were all larger than those in the normal group. The difference was statistically significant (P<0.05) the right branches of the proper hepatic artery in the liver cancer group were more than those in the normal group, and the difference was statistically significant (P<0.05) in the case of giant hepatocellular carcinoma located in the left lobe of the liver, 76.9% of the diaphragmatic artery was surrounded/embedded in the liver tumor, compared with the normal group, and the branch can be considered as the new blood vessels supplying the liver cancer in the case of giant hepatocellular carcinoma located in the right lobe of the liver and the middle part of the liver, the new blood vessels wrap the liver cancer like a ball. Conclusion The changes of hepatic arteries in giant hepatocellular carcinoma can be studied from the diameter, branch and location of new blood vessels, providing guidance value for precise clinical interventional therapy.

相似文献/References:

[1]方兆山,雷其理,刘星星,等.三维可视化技术辅助复杂性肝切除术的应用价值[J].中国医学物理学杂志,2016,33(8):793.[doi:10.3969/j.issn.1005-202X.2016.08.008]
　[J].Chinese Journal of Medical Physics,2016,33(1):793.[doi:10.3969/j.issn.1005-202X.2016.08.008]

备注/Memo

备注/Memo:
【收稿日期】2020-07-18 【基金项目】国家新工科研究与实践项目（E-YGJH20202803）；河北省卫健委医学适应技术跟踪课题项目（G2018034）；河北医科大学2019年大学生创新性实验计划项目（USIP2019047） 【作者简介】赵剑强，研究方向：人工智能与医学影像，E-mail: zhaojq112@163.com 【通信作者】朱青峰，副教授，研究方向：人工智能与医学影像，E-mail:zqf88931@sin.com
更新日期/Last Update: 2021-01-29