切换至 "中华医学电子期刊资源库"

中华临床医师杂志(电子版) ›› 2018, Vol. 12 ›› Issue (09) : 512 -517. doi: 10.3877/cma.j.issn.1674-0785.2018.09.007

所属专题: 文献

临床研究

动态对比增强磁共振成像Ktrans与HPI纹理分析对肝细胞癌及结直肠癌肝转移瘤的鉴别价值
李烨1, 刘爱连1,(), 郭妍2, 宋清伟1, 卢绪论1, 陈安良1   
  1. 1. 116011 大连医科大学附属第一医院
    2. 110000 上海通用电气药业(上海)有限公司
  • 收稿日期:2018-04-09 出版日期:2018-05-01
  • 通信作者: 刘爱连
  • 基金资助:
    首都科技领军人才培养工程(Z181100006318003)

Differential diagnosis of hepatocellular carcinoma and hepatic metastases from colorectal cancer using texture features derived from DCE-MRI

Ye Li1, Ailian Liu1,(), Yan Guo2, Qingwei Song1, Xulun Lu1, Anliang Chen1   

  1. 1. The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
    2. General Electric Healthcare, Shanghai 110000, China
  • Received:2018-04-09 Published:2018-05-01
  • Corresponding author: Ailian Liu
  • About author:
    Corresponding author: Liu Ailian, Email:
引用本文:

李烨, 刘爱连, 郭妍, 宋清伟, 卢绪论, 陈安良. 动态对比增强磁共振成像Ktrans与HPI纹理分析对肝细胞癌及结直肠癌肝转移瘤的鉴别价值[J]. 中华临床医师杂志(电子版), 2018, 12(09): 512-517.

Ye Li, Ailian Liu, Yan Guo, Qingwei Song, Xulun Lu, Anliang Chen. Differential diagnosis of hepatocellular carcinoma and hepatic metastases from colorectal cancer using texture features derived from DCE-MRI[J]. Chinese Journal of Clinicians(Electronic Edition), 2018, 12(09): 512-517.

目的

探讨经动态对比增强磁共振成像(DCE-MRI)获取的渗透性参数容积转运常数(Ktrans)和灌注性参数动脉灌注指数(HPI)的纹理分析对肝细胞癌和结直肠癌肝转移瘤的鉴别诊断能力。

方法

选取2015年12月至2017年1月于大连医科大学附属第一医院行肝脏动态增强磁共振(DCE-MRI)患者28例,经手术病理证实的肝细胞癌(HCC)15例16个病灶,手术证实结直肠癌且影像随诊证实为肝转移瘤(HM)13例19个病灶。扫描序列包括双回波T1WI、T2WI、4个肝脏快速容积成像(LAVA)非注射药物预扫描序列(偏转角3°、6°、9°、12°)及动态增强LAVA采用3D序列,TR/TE:3.1 ms/1.3 ms、偏转角12°,共采集30期,每期扫描6 s间隔1 s,扫描时间3.14 min。使用Omni-Kinetics软件的exchange模型计算Ktrans值及HPI的灰度共生矩阵参数包括:能量(energy)、熵(entropy)、惯性矩(inertia)、相关性(correlation)、逆差矩(IDM)、聚类萌(cluster shade)、聚类突(cluster promince)。由2位观察者进行数据测量,使用组内相关系数(ICC)法检验2位观察者测量数据的一致性。采用t检验或Wilcoxon秩和检验比较两者间各参数差异。

结果

HCC的Ktrans均值高于HM,P=0.02;HCC和HM间HPI的均值无差异;灰度共生矩阵参数Ktrans值:HCC的聚类萌低于HM,而能量、熵、惯性矩、相关性、逆差矩、聚类突在2组病变间差异无统计学意义;HPI值:HCC的惯性矩低于HM,HCC的相关性高于HM,而能量、熵、逆差矩、聚类萌、聚类突间差异无统计学意义。

结论

Ktrans和HPI的纹理参数对于肝细胞癌和结直肠癌肝转移瘤的鉴别具有重要的指导作用。

Objective

To investigate the value of Ktrans (the volume transfer constant from plasma to the extracellular extravascular space), HPI (hepatic arterial perfusion index), and their texture features derived from dynamic contrast-enhanced MRI (DCE-MRI) in the differentiation of hepatocellular carcinoma (HCC) and hepatic metastases from colorectal cancer (HM).

Methods

Twenty-eight patients with HCC or HM who underwent DCE-MRI between December 2015 and January 2017 at the First Affiliated Hospital of Dalian Medical University were included. Among them, 15 patients had HCC (16 lesions) and 13 had HM (19 lesions), which were confirmed by imaging follow-up or by surgery and pathology. DCE-MRI images were acquired using the liver acquisition with volume acceleration (LAVA) sequence which consisted of multi-flip angle (FA) contrast free image acquisition (FA=3°, 6°, 9°, and 12°) for T1 mapping, and a continuous multiphase acquisition (FA=12°) to capture contrast medium wash-in and wash-out. The flip and dynamic images were acquired using the same parameters but different FA: TR/TE, 3.1/1.3 ms; with 30 phases, 6 seconds each phase and a total of 3.14 min. The t-test or the Wilcoxon test was used to compare the differences of the texture features.

Results

Mean value of Ktrans of HCC was significantly higher than that of HM (P=0.020). Mean values of HPI had no statistical difference between the two groups. The cluster shade from Ktrans and inertia from HPI of HCC were lower than that of HM. The inertia from HPI of HCC were lower than that of HM. The correlation from HPI of HCC was statistically significantly higher than that of HM. There were no differences between HCC and HM regarding other texture features.

Conclusion

Texture features of Ktrans and HPI can provided an important guiding role in clinical work.

表1 肝细胞癌患者和结直肠癌肝转移瘤患者一般资料比较
表2 2观察者测量数据一致性比较组内相关系数值
图1~4 肝右前叶上段肝细胞癌。图1为Ktrans图可见病变边缘Ktrans值较中央高,图像较紊乱;图2为HPI图可见病灶边缘肝动脉供血丰富,图像较均匀,肝右前叶结肠癌肝转移瘤;图3为Ktrans图可见病变内部Ktrans值较低;图4为HPI图可见病灶肝动脉供血较少,图像紊乱
表3 肝细胞癌与结直肠癌肝转移瘤间Ktrans值、HPI值纹理参数值比较
1
Kim KW, Lee JM, Kim JH, et al. CT color mapping of the arterial enhancement fraction of VX2 carcinoma implanted in rabbit liver: comparison with perfusion CT[J]. Am J Roentgenol, 2011, 196(1):102-108.
2
潘丹,梁长虹,刘再毅. 动态增强MRI在肝脏恶性肿瘤疗效评估中的临床应用[J]. 中华放射学杂志, 2014, 48(6):523-525.
3
章俞,赵振华,赵丽,等. Extended Tofts和Exchange模型的动态对比增强MRI参数鉴别诊断肝细胞癌和肝转移瘤的价值[J]. 中华放射学杂志, 2015, 49(9):656-660.
4
冯远明,沈树铭,郭玙, 等. 肿瘤异质性的影像学定量分析进展[J]. 纳米技术与精密工程, 2016, 12(6):404-410.
5
彭庆涛,吴水才,高宏建, 等. 基于小波分析和灰度纹理特征的乳腺X线图像微钙化点区域的提取[J]. 北京生物医学工程, 2015, 34(5):462-488.
6
Kim KW, Lee JM, Klotz E, et al. Quantitative CT color mapping of the arterial enhancement fraction of the liver to detect hepatocellular carcinoma[J]. Radiology, 2009, 250(2):425-434.
7
Haralick RM, Shanmugam K, dInstein IH. Textural features for image classification. System, Man and Cybernetics[J]. IEEE Transactions on, 1973, (6):610-621.
8
Shuang Gao, Yuhua Peng, Huizhi Guo, et al. Texture analysis and classification of ultrasound liver images[J]. Bio-Medical Materials and Engineering, 2014:1209-1216.
9
Daniela K, Zorica T, Radan D, et al. Early prognosis of metastasis risk in inflammatory breast cancer by texture analysis of tumour microscopic images[J]. Biomed Microdevices, 2015:92.
10
André V. Alvarenga, César A. Teixeira, Maria GR, et al. Influence of temperature variations on the entropy and correlation of the Grey-Level Co-occurrence Matrix from B-Mode images[J]. Ultrasonics, 2010:290-293.
11
章俞,胡红杰,赵振华. 动态对比增强MRI功能成像参数对肝细胞癌和肝转移瘤的鉴别诊断价值[J]. 临床放射学杂志, 2016, 35(9):1376-1380.
12
刘芳,张宝华,王心强. 基于灰度共生矩阵提取纹理特征的医学图像检索技术的研究与应用[J]. 科技视界, 2014, (1):10-14.
[1] 丁建民, 秦正义, 张翔, 周燕, 周洪雨, 王彦冬, 经翔. 超声造影与普美显磁共振成像对具有高危因素的≤3 cm肝结节进行LI-RADS分类诊断的前瞻性研究[J]. 中华医学超声杂志(电子版), 2023, 20(09): 930-938.
[2] 李淼, 朱连华, 韩鹏, 姜波, 费翔. 高帧频超声造影评价肝细胞癌血管形态与风险因素的研究[J]. 中华医学超声杂志(电子版), 2023, 20(09): 911-915.
[3] 董杰, 杨松, 杨浩, 陈翔, 张万里. 乙酰辅酶A羧化酶2基因高甲基化与肝细胞癌临床病理因素和生存期的关系[J]. 中华普通外科学文献(电子版), 2023, 17(06): 433-437.
[4] 黄威, 刘启, 陈流华, 滕茶香, 区喆建, 刘韩笑, 陈健聪, 张昆松. 新定义的可预测肝癌预后的焦亡相关lncRNA模型[J]. 中华普通外科学文献(电子版), 2023, 17(05): 357-365.
[5] 王荣昌, 欧奇峰, 黄晋杰, 王彩琴, 汪谦, 黄晓卉. miR-145-5p在肝细胞癌中的表达及其临床意义[J]. 中华普通外科学文献(电子版), 2023, 17(03): 197-202.
[6] 郑希彦, 周正, 何方平, 林志群, 杜飞, 谢琴, 王少平, 史宪杰. 代谢综合征与乙型肝炎病毒相关性肝细胞癌预后的危险因素分析[J]. 中华普通外科学文献(电子版), 2023, 17(02): 104-109.
[7] 马铭秀, 徐锋, 谢铠岭, 郭亚明, 卢潼辉, 戴朝六. 术前碱性磷酸酶-前白蛋白比值对肝细胞癌切除术预后的评估价值[J]. 中华普通外科学文献(电子版), 2023, 17(02): 99-103.
[8] 尹宏祥, 段家康, 江博文, 谈燚. 全身免疫炎症指数联合预后营养指数对接受根治性切除术的肝细胞癌的预后价值研究[J]. 中华普通外科学文献(电子版), 2023, 17(02): 93-98.
[9] 曹亚娟, 黎兵华, 余德才. 转化治疗联合Laennec入路机器人右半肝切除治疗进展期肝癌[J]. 中华腔镜外科杂志(电子版), 2023, 16(02): 116-119.
[10] 周鹏宇, 涂志坚, 李传富, 雷晓华, 陈国栋. 机器人解剖性右肝后叶切除术[J]. 中华腔镜外科杂志(电子版), 2023, 16(01): 56-59.
[11] 吴凤芸, 滕鑫, 刘连娟. 高帧频超声造影与增强磁共振对不同直径原发性高分化肝细胞癌的诊断价值[J]. 中华消化病与影像杂志(电子版), 2023, 13(06): 404-408.
[12] 胡宝茹, 尚乃舰, 高迪. 中晚期肝细胞癌的DCE-MRI及DWI表现与免疫治疗预后的相关性分析[J]. 中华消化病与影像杂志(电子版), 2023, 13(06): 399-403.
[13] 冯海涛, 徐涛, 刘文阳, 孙晨, 曹尚超. 三维动脉自旋标记联合动态对比增强MRI对脑胶质瘤术后复发及放射性脑坏死诊断的研究[J]. 中华消化病与影像杂志(电子版), 2023, 13(04): 262-265.
[14] 刘中百, 任勇军. 肝细胞癌的介入治疗现状及进展[J]. 中华消化病与影像杂志(电子版), 2023, 13(02): 111-115.
[15] 梁伟, 王晓彬, 洪笑阳, 蔡明岳, 梁礼聪, 陈烨, 黄培凯, 刘铭宇, 林立腾, 朱康顺. 原位肝癌小鼠微波消融术后复发模型的构建[J]. 中华介入放射学电子杂志, 2023, 11(02): 133-139.
阅读次数
全文


摘要