检索结果-南通市图书馆

Computed tomography radiomic features and clinical factors predicting the response to first transarterial chemoembolization in intermediate-stage hepatocellular carcinoma

引用

Hepatobiliary & Pancreatic Diseases International 2024年第4期23卷 361-369页

作者： Zhong-Xing Shi Chang-Fu Li Li-Feng Zhao Zhong-Qi Sun Li-Ming Cui Yan-jie Xin Dong-Qing Wang Tan-Rong Kang hui-jie jiang Department of Interventional Radiology the Second Affiliated Hospital of Harbin Medical UniversityHarbin 150086China Department of Digestive Medicine Daqing Longnan HospitalDaqing 163453China Department of Radiology Daqing Longnan HospitalDaqing 163453China Department of Radiology the Second Affiliated Hospital of Harbin Medical UniversityHarbin 150086China

Background:According to clinical practice guidelines,transarterial chemoembolization(TACE)is the standard treatment modality for patients with intermediate-stage hepatocellular carcinoma(HCC).Early prediction of treatment response can help patients choose a reasonable treatment plan.This study aimed to investigate the value of the radiomic-clinical model in predicting the efficacy of the first TACE treatment for HCC to prolong patient survival.Methods:A total of 164 patients with HCC who underwent the first TACE from January 2017 to September 2021 were analyzed.The tumor response was assessed by modified response evaluation criteria in solid tumors(mRECIST),and the response of the first TACE to each session and its correlation with overall survival were evaluated.The radiomic signatures associated with the treatment response were identified by the least absolute shrinkage and selection operator(LASSO),and four machine learning models were built with different types of regions of interest(ROIs)(tumor and corresponding tissues)and the model with the best performance was selected.The predictive performance was assessed with receiver operating characteristic(ROC)curves and calibration curves.Results:Of all the models,the random forest(RF)model with peritumor(+10 mm)radiomic signatures had the best performance[area under ROC curve(AUC)=0.964 in the training cohort,AUC=0.949 in the validation cohort].The RF model was used to calculate the radiomic score(Rad-score),and the optimal cutoff value(0.34)was calculated according to the Youden’s index.Patients were then divided into a high-risk group(Rad-score>0.34)and a low-risk group(Rad-score≤0.34),and a nomogram model was successfully established to predict treatment response.The predicted treatment response also allowed for significant discrimination of Kaplan-Meier curves.Multivariate Cox regression identified six independent prognostic factors for overall survival,including male[hazard ratio(HR)=0.500,95%confidence interval(CI):0.260–0.962,P=0.038],alpha-fetoprotein(HR=

关键词： Hepatocellular carcinoma Transarterial chemoembolization Radiomics Treatment response Prediction

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Quantitative dual-energy computed tomography texture analysis predicts the response of primary small hepatocellular carcinoma to radiofrequency ablation

引用

Hepatobiliary & Pancreatic Diseases International 2022年第6期21卷 569-576页

作者： Jin-Ping Li Sheng Zhao hui-jie jiang Hao jiang Lin-Han Zhang Zhong-Xing Shi Ting-Ting Fan Song Wang Department of Radiology the Second Affiliated Hospital of Harbin Medical UniversityHarbin 150086China Department of Nuclear Medicine the First Affiliated Hospital of Harbin Medical UniversityHarbin 150086China Department of Radiology Longhua HospitalShanghai University of Traditional Chinese MedicineShanghai 200032China

Background:Radiofrequency ablation(RFA)is one of the effective therapeutic modalities in patients with hepatocellular carcinoma(HCC).However,there is no proper method to evaluate the HCC response to RFA.This study aimed to establish and validate a clinical prediction model based on dual-energy com-puted tomography(DECT)quantitative-imaging parameters,clinical variables,and CT texture parameters.Methods:We enrolled 63 patients with small HCC.Two to four weeks after RFA,we performed DECT scanning to obtain DECT-quantitative parameters and to record the patients’clinical baseline variables.DECT images were manually segmented,and 56 CT texture features were extracted.We used LASSO al-gorithm for feature selection and data dimensionality reduction;logistic regression analysis was used to build a clinical model with clinical variables and DECT-quantitative parameters;we then added texture features to build a clinical-texture model based on clinical model.Results:A total of six optimal CT texture analysis(CTTA)features were selected,which were statis-tically different between patients with or without tumor progression(P<0.05).When clinical vari-ables and DECT-quantitative parameters were included,the clinical models showed that albumin-bilirubin grade(ALBI)[odds ratio(OR)=2.77,95%confidence interval(CI):1.35-6.65,P=0.010],λAP(40-100 keV)(OR=3.21,95%CI:3.16-5.65,P=0.045)and IC AP(OR=1.25,95%CI:1.01-1.62,P=0.028)were asso-ciated with tumor progression,while the clinical-texture models showed that ALBI(OR=2.40,95%CI:1.19-5.68,P=0.024),λAP(40-100 keV)(OR=1.43,95%CI:1.10-2.07,P=0.019),and CTTA-score(OR=2.98,95%CI:1.68-6.66,P=0.001)were independent risk factors for tumor progression.The clinical model,clinical-texture model,and CTTA-score all performed well in predicting tumor progression within 12 months after RFA(AUC=0.917,0.962,and 0.906,respectively),and the C-indexes of the clinical and clinical-texture models were 0.917 and 0.957,respectively.Conclusions:DECT-quantitative parameters,CTTA,and clinical variables were help

关键词： Hepatocellular carcinoma Dual-energy Radiofrequency ablation Tumor response Texture analysis

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Clinical-radiomics predictors to identify the suitability of transarterial chemoembolization treatment in intermediate-stage hepatocellular carcinoma:A multicenter study

引用

Hepatobiliary & Pancreatic Diseases International 2023年第6期22卷 594-604页

作者： Dan-Dan Wang Jin-Feng Zhang Lin-Han Zhang Meng Niu hui-jie jiang Fu-Cang Jia Shi-Ting Feng Department of Radiology the Second Affiliated Hospital of Harbin Medical UniversityHarbin 150086China Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhen 518055China Department of Breast Surgery Harbin Medical University Cancer HospitalHarbin 150081China Department of PET/CT the First Affiliated Hospital of Harbin Medical UniversityHarbin 150007China Department of Interventional Therapy the First Affiliated Hospital of China Medical UniversityShenyang 110001China Department of Radiology the First Affiliated Hospital of Sun Yat-sen UniversityGuangzhou 510080China

Background: Although transarterial chemoembolization(TACE) is the first-line therapy for intermediatestage hepatocellular carcinoma(HCC), it is not suitable for all patients. This study aimed to determine how to select patients who are not suitable for TACE as the first treatment choice. Methods: A total of 243 intermediate-stage HCC patients treated with TACE at three centers were retrospectively enrolled, of which 171 were used for model training and 72 for testing. Radiomics features were screened using the Spearman correlation analysis and the least absolute shrinkage and selection operator(LASSO) algorithm. Subsequently, a radiomics model was established using extreme gradient boosting(XGBoost) with 5-fold cross-validation. The Shapley additive explanations(SHAP) method was used to visualize the radiomics model. A clinical model was constructed using univariate and multivariate logistic regression. The combined model comprising the radiomics signature and clinical factors was then established. This model’s performance was evaluated by discrimination, calibration, and clinical application. Generalization ability was evaluated by the testing cohort. Finally, the model was used to analyze overall and progression-free survival of different groups. Results: A third of the patients(81/243) were unsuitable for TACE treatment. The combined model had a high degree of accuracy as it identified TACE-unsuitable cases, at a sensitivity, specificity, and area under the receiver operating characteristic curve(AUC) of 0.759, 0.885, 0.906 [95% confidence interval(CI): 0.859-0.953] in the training cohort and 0.826, 0.776, and 0.894(95% CI: 0.815-0.972) in the testing cohort, respectively. Conclusions: The high degree of accuracy of our clinical-radiomics model makes it clinically useful in identifying intermediate-stage HCC patients who are unsuitable for TACE treatment.

关键词： Transarterial chemoembolization Hepatocellular carcinoma Radiomics Machine learning Prediction

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Prediction of early recurrence of hepatocellular carcinoma after liver transplantation based on computed tomography radiomics nomogram

引用

Hepatobiliary & Pancreatic Diseases International 2022年第6期21卷 543-550页

作者： Jing-Wei Zhao Xin Shu Xiao-Xia Chen Jia-Xiong Liu Mu-Qing Liu Ju Ye hui-jie jiang Gui-Sheng Wang Department of Radiology the Third Medical CenterChinese PLA General HospitalThe Training Site for Postgraduate of Jinzhou Medical UniversityBeijing 100039China Department of Radiology the Third Medical CenterChinese PLA General HospitalBeijing 100039China Medical School of Chinese PLA Beijing 100853China Department of Radiology the Second Affiliated Hospital of Harbin Medical UniversityHarbin 150086China

Background:Early recurrence results in poor prognosis of patients with hepatocellular carcinoma(HCC)after liver transplantation(LT).This study aimed to explore the value of computed tomography(CT)-based radiomics nomogram in predicting early recurrence of patients with HCC after LT.Methods:A cohort of 151 patients with HCC who underwent LT between December 2013 and July 2019 were retrospectively enrolled.A total of 1218 features were extracted from enhanced CT images.The least absolute shrinkage and selection operator algorithm(LASSO)logistic regression was used for dimension reduction and radiomics signature building.The clinical model was constructed after the analysis of clin-ical factors,and the nomogram was constructed by introducing the radiomics signature into the clinical model.The predictive performance and clinical usefulness of the three models were evaluated using re-ceiver operating characteristic(ROC)curve analysis and decision curve analysis(DCA),respectively.Cali-bration curves were plotted to assess the calibration of the nomogram.Results:There were significant differences in radiomics signature among early recurrence patients and non-early recurrence patients in the training cohort(P<0.001)and validation cohort(P<0.001).The nomogram showed the best predictive performance,with the largest area under the ROC curve in the training(0.882)and validation(0.917)cohorts.Hosmer-Lemeshow testing confirmed that the nomogram showed good calibration in the training(P=0.138)and validation(P=0.396)cohorts.DCA showed if the threshold probability is within 0.06-1,the nomogram had better clinical usefulness than the clinical model.Conclusions:Our CT-based radiomics nomogram can preoperatively predict the risk of early recurrence in patients with HCC after LT.

关键词： Radiomics Nomogram Liver transplantation Early recurrence Hepatocellular carcinoma

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Incidence and risk factors of pancreatitis in obstructive jaundice patients after percutaneous placement of self-expandable metallic stents

引用

Hepatobiliary & Pancreatic Diseases International 2020年第5期19卷 473-477页

作者： Yi Yang Rui-Bao Liu Yan Liu hui-jie jiang Department of Radiology the Second Affiliated Hospital of Harbin Medical UniversityHarbin 150086China Department of Interventional Radiology Harbin Medical University Cancer HospitalHarbin 150081China

Background:Percutaneous transhepatic biliary drainage is an alternative treatment for patients with malignant distal biliary obstruction.The aim of this study was to investigate the occurrence of pancreatitis in patients who had undergone percutaneous placement of a biliary stent and to assess the risk factors for pancreatitis and the treatment outcomes.Methods:From January 2010 to October 2016,980 patients in our hospital who underwent percutaneous placements of self-expandable metallic stents for obstructive jaundice were retrospectively analyzed.The incidence of pancreatitis and risk factors were assessed by univariate and multivariate logistic regression analysis.Therapeutics,such as somatostatin,which were also adminstrated to release the symptom and promote the restoration of normal function of pancreas,were also analyzed.Results:Pancreatitis occurred in 45(4.6%)patients.One patient died from severe acute pancreatitis.Multivariate logistic regression analysis showed that common bile duct stent placement was the only independent risk factor that related to pancreatitis(odds ratio=2.096,95%CI:1.248–5.379;P=0.002).By using somatostatin,the concentrations of serum amylase and lipase were decreased in 44 patients with pancreatitis.No major complications were found during the treatment.Conclusions:Pancreatitis is a relatively low complication of percutaneous placement of biliary stents.The common bile duct stent placement is the only independent risk factor that related to pancreatitis.In this case,the percutaneous transhepatic biliary drainage is a preferred method for treatment.Furthermore,somatostatin is a secure and efficacious method to release the symptom and promote the restoration of pancreatic function.

关键词： Stents Obstructive jaundice Pancreatitis

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Micro-positron emission tomography imaging of angiogenesis based on ^(18)F-RGD for assessing liver metastasis of colorectal cancer

引用

Hepatobiliary & Pancreatic Diseases International 2021年第4期20卷 345-351页

作者： Ming-Yu Zhang hui-jie jiang Hao jiang Rong-Jun Zhang Zhen-Chang Wang Department of Nuclear Medicine Beijing Friendship HospitalCapital Medical UniversityBeijing 100050China Department of Radiology The Second Affiliated Hospital of Harbin Medical UniversityHarbin 150086China jiangsu Institute of Nuclear Medicine Wuxi 214063China Department of Radiology Beijing Friendship HospitalCapital Medical UniversityBeijing 100050China

Background:Positron emission tomography (PET) imaging is a non-invasive method to visualize and quantify the tumor microenvironment.This study aimed to explore the feasibility of ^(18)F-AIF-NOTA-E[PEG_(4-c)(RGDfk)]_(2) (denoted as ^(18)F-RGD) PET quantitative parameters to distinguish the angiogenesis in colorectal cancer (CRC) mice which has different metastatic potential.Methods:Twenty Lo Vo and twenty LS174T of CRC liver metastases animal models were established by implantation of human CRC cell lines via intrasplenic injection.Radiotracer-based micro-PET imaging of animal model was performed and the uptake of ^(18)F-RGD tracer in the tumor tissues was quantified as tumor-to-liver maximum or mean standardized uptake value (SUVmax or SUVmean) ratio.Pearson correlation was used to analyze the relationship between radioactive parameters and tumor markers.Results:The SUVmax and SUVmean ratios of Lo Vo model were significantly higher than those of LS174T in both liver metastasis and primary tumor lesions (P<0.05).A significant difference was observed in both vascular endothelial growth factor (VEGF) and Ki67 expressions between Lo Vo and LS174T primary tumors (P<0.05).The tumor-to-liver SUVmax or SUVmean ratio of ^(18)F-RGD showed a moderate correlation with VEGF expression (r=0.5700,P=0.001 and r=0.6657,P<0.001,respectively),but the SUVmean ration showed a weak correlation with Ki67 expression (r=0.3706,P<0.05).The areas under the receiver operating characteristic (ROC) curves of ^(18)F-RGD SUVmean ratio,SUVmax ratio for differentiating Lo Vo from LS174T tumor were 0.801 and 0.759,respectively.Conclusions:The tumor-to-liver SUVmean ratio of ^(18)F-RGD was a promising image parameter for the process of monitoring tumor angiogenesis in CRC xenograft mice model.

关键词： RGD peptide Positron emission tomography Colorectal liver metastases Vascular endothelial growth factor

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

^(18)F-fluoromisonidazole positron emission tomography may be applicable in the evaluation of colorectal cancer liver metastasis

引用

Hepatobiliary & Pancreatic Diseases International 2019年第2期18卷 164-172页

作者： Ming-Yu Zhang Rong-Jun Zhang hui-jie jiang Hao jiang Hai-Long Xu Wen-Bin Pan Yi-Qiao Wang Xin Li Department of Radiology the Second Affiliated Hospital of Harbin Medical University Key Laboratory of Nuclear Medicine of the Ministry of Health Jiangsu Key Laboratory of Molecular Nuclear Medicine Jiangsu Institute of Nuclear Medicine

Background: Positron emission tomography(PET) imaging is a non-invasive functional imaging method used to reflect tumor spatial information, and to provide biological characteristics of tumor progression. The aim of this study was to focus on the application of 18 F-fluoromisonidazole(FMISO) PET quantitative parameter of maximum standardized uptake value(SUVmax) ratio to detect the liver metastatic potential of human colorectal cancer(CRC) in mice. Methods: Colorectal liver metastases(CRLM) xenograft models were established by injecting tumor cells(LoVo, HT29 and HCT116) into spleen of mice, tumor-bearing xenograft models were established by subcutaneously injecting tumor cells in the right left flank of mice. Wound healing assays were performed to examine the ability of cell migration in vitro. ^(18)F-FMISO uptake in CRC cell lines was measured by cellular uptake assay. ^(18)F-FMISO-based micro-PET imaging of CRLM and tumor-bearing mice was performed and quantified by tumor-to-liver SUVmax ratio. The correlation between the ^(18)F-FMISO SUVmax ratio, liver metastases number, hypoxia-induced factor 1 α(HIF-1 α) and serum starvation-induced glucose transporter 1(GLUT-1) was evaluated using Pearson correlation analysis. Results: Compared with HT29 and HCT116, LoVo-CRLM mice had significantly higher liver metastases ratio and shorter median survival time. LoVo cells exhibited stronger migration capacity and higher radiotracer uptake compared with HT29 and HCT116 in in vitro. Moreover, ^(18)F-FMISO SUVmax ratio was significantly higher in both LoVo-CRLM model and LoVo-bearing tumor model compared to models established using HT29 and HCT116. In addition, Pearson correlation analysis revealed a significant correlation between ^(18)F-FMISO SUVmax ratio of CRLM mice and number of liver metastases larger than 0.5 cm, as well as between ^(18)F-FMISO SUVmax ratio and HIF-1 α or GLUT-1 expression in tumor-bearing tissues. Conclusions: ^(18)F-FMISO parameter of SUVmax ratio may provide useful tumor biological information in m

关键词： 18F-FMISO Positron emission tomography Colorectal liver metastases Heterogeneity

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Using receiver operating characteristic curves to evaluate the diagnostic value of the combination of multislice spiral CT and alpha-fetoprotein levels for small hepatocellular carcinoma in cirrhotic patients

引用

Hepatobiliary & Pancreatic Diseases International 2017年第3期16卷 303-309页

作者： Guang-Sheng Jia Guang-Long Feng Jin-Ping Li Hai-Long Xu hui Wang Yi-Peng Cheng Lin-Lin Yan hui-jie jiang Department of Radiology Second Affiliated Hospital Harbin Medical University Harbin 150086 China

BACKGROUND： The various combination of multiphase enhancement multislice spiral CT （MSCT） makes the diagno- sis of a small hepatocellular carcinoma （sHCC） on the back- ground of liver cirrhosis possible. This study was to explore whether the combination of MSCT enhancement scan and alpha-fetoprotein （AFP） level ficiency for sHCC. could increase the diagnostic ef- METHODS： This study included 35 sHCC patients and 52 cir- rhotic patients without image evidence of HCC as a control group. The diagnoses were made by three radiologists em- ploying a 5-point rating scale, with postoperative pathologic results as the gold standard. Receiver operating characteristic （ROC） curve analysis was performed to evaluate the diag- nostic value of the three MSCT combination modes （arterial phase＋portal-venous phase, arterial phase＋delayed phase, arterial phase＋portal-venous phase＋delayed phase） and AFP levels for sHCC on the background of liver cirrhosis. RESULTS： The area under ROC curve （AUC）, sensitivity, and specificity of the combination of arterial phase＋portal- venous phase＋delayed phase were 0.93, 93%, and 82%, respectively. The average AUC of the arterial phase＋portal- venous phase＋delayed phase combination was significantly greater than that of the arterial phase＋portal-venous phase （AUC=0.84, P=0.01） and arterial phase＋delayed phase （AUC=0.85, P=0.03）. Arterial phase＋portal-venous phase had a smaller AUC （0.84） than arterial phase＋delayed phase （0.85）, but the difference was insignificant （P=0.15）. After combining MSCT enhancement scan with AFP, the AUC, sensitivity, and specificity were 0.95, 94%, and 83%, respectively, indicating a greatly increased diagnostic efficiency for sHCC. CONCLUSIONS： The combination of AFP and 3 phases MSCT enhancement scan could increase the diagnostic efficiency for sHCC on the background of liver cirrhosis. The application of ROC curve analysis has provided a new method and reference in HCC diagnosis.

关键词： hepatocellular carcinoma receiver operating characteristic multi-slice spiral CT alpha-fetoprotein delayed phase imaging

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A correlation of computed tomography perfusion and histopathology in tumor edges of hepatocellular carcinoma

引用

Hepatobiliary & Pancreatic Diseases International 2014年第6期13卷 612-617页

作者： Rong-jie Bai Jin-Ping Li Shao-Hua Ren hui-jie jiang Xin-Ding Liu Zai-Sheng Ling Qi Huang Guang-Long Feng Department of Radiology Beijing Jishuitan Hospital the Fourth Clinical Medical College of Peking University Department of Radiology Second Affiliated Hospital Harbin Medical University Department of Radiology the First Hospital of Harbin Department of Pathology Harbin Medical University

BACKGROUND： The peripheral morphologic characteristics of hepatocellular carcinoma （HCC） reflect tumor growth patterns. Computed tomography （CT） perfusion is a new method to analyze hemodynamic changes in tissues. We assessed the relationship between CT perfusion and histopathologic findings in the periphery of HCC lesions. METHODS： Non-contrast CT, enhanced dual-phase CT, and CT perfusion were performed on 77 subjects （47 patients and 30 controls）. Based on the imaging findings of enhanced dual- phase CT, the tumor edges were classified into three types： type Ⅰ （sharp）; type Ⅱ （blurry）; and type Ⅲ （mixed）. The CT perfusion parameters included hepatic blood flow, hepatic arterial fraction, hepatic arterial perfusion, and hepatic portal perfusion. The tissue sections from resected specimens were subjected to routine hematoxylin and eosin staining and immunohistochemical staining for CD34. The correlations between microvessel density （MVD） and the CT perfusion parameters were analyzed using Pearson＇s product-moment correlation coefficient. Changes in the perfusion parameters in tumor edges of different tumor types were evaluated. RESULTS： Type Ⅰ （sharp）： the pathologic findings showed fibrous connective tissue capsules in the tumor edges, and an MVD 〈30/ram2. Type Ⅱ （blurry）： the histology showed that the edges were clear with no capsules and an MVD 〉30/ram2. Type Ⅲ （mixed）： the pathology was similar to that of types I and II, and an MVD 〉30/mm~. Hepatic blood flow, hepatic arterial fraction, hepatic arterial perfusion, and hepatic portal perfusion were significantly increased in the tumor edges of HCC patients compared to those of the controls （P〈0.05）. The correlation between CT perfusion parameters and MVD was higher in blurry tumor edges of type II than in those of types Ⅰ or Ⅲ. CONCLUSION： CT perfusion imaging of tumor edges may be helpful in revealing histopathological features, and indirectly reflect angiogenic changes of HCCs.

关键词： hepatocellular carcinoma tumor edge computed tomography X-ray computer histopathology perfusion imaging

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Detection and differentiation of early hepatocellular carcinoma from cirrhosis using CT perfusion in a rat liver model

引用

Hepatobiliary & Pancreatic Diseases International 2016年第6期15卷 612-618页

作者： Jin-Ping Li Guang-Long Feng Da-Qing Li Hai-Bo Wang De-Li Zhao Yong Wan hui-jie jiang Department of Radiology Second Affiliated HospitalHarbin Medical University Harbin 150086 China

BACKGROUND： Functional imaging such as CT perfusion can detect morphological and hemodynamic changes in he- patocellular carcinoma （HCC）. Pre-carcinoma and early HCC nodules are difficult to differentiate by observing only their hemodynamics changes. The present study aimed to investi- gate hemodynamic parameters and evaluate their differential diagnostic cut-off between pre-carcinoma and early HCC nodules using CT perfusion and receiver operating characteristic （ROC） curves. METHODS： Male Wistar rats were randomly divided into control （n=20） and experimental （n=70） groups. Diethylnitrosamine （DEN） was used to induce pre-carcinoma and early HCC nodules in the experimental group. Perfusion scanning was carried out on all survival rats discontinuously from 8 to 16 weeks. Hepatic portal perfusion （HPP）, hepatic arterial fraction （HAF）, hepatic arterial perfusion （HAP）, hepatic blood volume （HBV）, hepatic blood flow （HBF）, mean transit time （MTT） and permeability of capillary vessel surface （PS） data were provided by mathematical deconvolution model. The perfusion parameters were compared among the three groups of rats （control, pre-carcinoma and early HCC groups） using the Kruskal-Wallis test and analyzed with ROC curves. Histological examination of the liver tissues with hematoxylin and eosin staining was performed after CT scan.RESULTS： For HPP, HAF, HBV, HBF and MTT, there were significant differences among the three groups （P〈0.05）. HAF had the highest areas under the ROC curves： 0.80 （control vs pre-carcinoma groups） and 0.95 （control vs early HCC groups） with corresponding optimal cut-offs of 0.37 and 0.42, respectively. The areas under the ROC curves for HPP was 0.79 （control vs pre-carcinoma groups） and 0.92 （control vs early HCC groups） with corresponding optimal cut-offs of 136.60 mL/min/100 mg and 108.47 mL/min/100 mg, respectively. CONCLUSIONS： CT perfusion combined with ROC curve analysis is a new diagnosis model for distinguishing between pre-carcinoma and early HCC nodules. HAF and HPP are the ideal r

关键词： liver neoplasms computed tomography perfusion imaging rat model

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：