Characterization of Microvascular Invasion in Hepatocellular Carcinoma Using Computational Modeling of Interstitial Fluid Pressure and Velocity
2023-02-01
发表期刊JOURNAL OF MAGNETIC RESONANCE IMAGING (IF:3.3[JCR-2023],4.4[5-Year])
ISSN1053-1807
EISSN1522-2586
发表状态已发表
DOI10.1002/jmri.28644
摘要

Background: Most solid tumors show increased interstitial fluid pressure (IFP), and this increased IFP is an obstacle to treatment. A noninvasive model for measuring IFP in hepatocellular carcinoma (HCC) is an unresolved issue.Purpose: To develop a noninvasive model to measure IFP and interstitial fluid velocity (IFV) in HCC and to characterize the microvascular invasion (MVI) status by using this model.Study Type: Retrospective.Population: A total of 97 HCC patients (mean age 57.6 + 10.9 years, 77.3% males), 53 of them with MVI and 44 of them without MVI.Field Strength/Sequence: A 3-T, three-dimensional spoiled gradient-recalled echo.Assessment: MVI was defined as microscopic vascular invasion of small vessels within the peritumoral liver tissue. The volumes of interest (VOIs) were manually delineated and enclosed the tumor lesion and healthy liver parenchyma, respectively. The extended Tofts model (ETM) was used to estimate permeability parameters from all the VOIs. Subsequently, the continuity partial differential equation (PDE) was implemented and IFP and IFV were acquired.Statistical Tests: Wilcoxon signed-ranks tests, histogram analysis, Mann-Whitney U test, Fisher's exact test, least absolute shrinkage and selection operator (LASSO) logistic regression, receiver operating characteristic (ROC) curve analysis with the area under the curve (AUC), Youden index, DeLong test, and Benjamini-Hochberg correction. A P value < 0.05 was considered statistically significant.Results: The HCC lesions exhibited elevated IFP and reduced IFV. There were no significant differences in any measured demographic and clinical features between the MVI-positive and MVI-negative groups, except for tumor size. Nine IFP his-togram analysis-derived parameters and seven IFV histogram analysis-derived parameters could be used to characterize the MVI status. LASSO regression selected five features: IFP maximum, IFP 10th percentile, IFP 90th percentile, IFV SD, and IFV 10th percentile. The combination of these features showed the highest AUC (0.781) and specificity (77.3%).Data Conclusion: A noninvasive IFP and IFV measurement model for HCC was developed. Specific IFP-and IFV-derived parameters exhibited significant association with the MVI status.

关键词hepatocellular carcinoma microvascular invasion interstitial fluid pressure and velocity
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收录类别SCI ; SCOPUS
语种英语
WOS研究方向Radiology, Nuclear Medicine & Medical Imaging
WOS类目Radiology, Nuclear Medicine & Medical Imaging
WOS记录号WOS:000932434200001
出版者WILEY
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文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/284216
专题生物医学工程学院
生物医学工程学院_PI研究组_胡鹏组
通讯作者Zeng, Mengsu; Dai, Yongming
作者单位
1.ShanghaiTech Univ, Sch Biomed Engn, 393 Middle Huaxia Rd, Shanghai 201210, Peoples R China
2.Fudan Univ, Zhongshan Hosp, Dept Radiol, 180 Fenglin Rd, Shanghai 200032, Peoples R China
3.Shanghai Inst Med Imaging, Shanghai, Peoples R China
4.Fudan Univ, Zhongshan Hosp, Dept Radiol, Shanghai, Peoples R China
5.ShanghaiTech Univ, Sch Biomed Engn, Shanghai, Peoples R China
6.United Imaging Healthcare, Cent Res Inst, MR Collaborat, Shanghai, Peoples R China
通讯作者单位生物医学工程学院
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GB/T 7714
Zheng, Liyun,Yang, Chun,Sheng, Ruofan,et al. Characterization of Microvascular Invasion in Hepatocellular Carcinoma Using Computational Modeling of Interstitial Fluid Pressure and Velocity[J]. JOURNAL OF MAGNETIC RESONANCE IMAGING,2023.
APA Zheng, Liyun.,Yang, Chun.,Sheng, Ruofan.,Rao, Shengxiang.,Wu, Lifang.,...&Dai, Yongming.(2023).Characterization of Microvascular Invasion in Hepatocellular Carcinoma Using Computational Modeling of Interstitial Fluid Pressure and Velocity.JOURNAL OF MAGNETIC RESONANCE IMAGING.
MLA Zheng, Liyun,et al."Characterization of Microvascular Invasion in Hepatocellular Carcinoma Using Computational Modeling of Interstitial Fluid Pressure and Velocity".JOURNAL OF MAGNETIC RESONANCE IMAGING (2023).
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