The Combination of Gd-EOB-DTPA Enhanced T1 Mapping with Apparent Diffusion Coefficient could Improve the Diagnostic Efficacy of Hepatocellular Carcinoma Grading

被引:0
作者
He, Hui [1 ]
Li, Xiaotian [1 ]
Liu, Jing [1 ]
Tong, Qiuyun [1 ]
Ling, Min [2 ]
Zeng, Zisan [2 ]
Zhou, Zhipeng [1 ]
机构
[1] Guilin Med Univ, Dept Radiol, Affiliated Hosp, Guilin 54100, Peoples R China
[2] Guangxi Med Univ, Affiliated Hosp 1, Dept Radiol, Nanning 530021, Peoples R China
关键词
Gd-EOB-DTPA; T1; mapping; Apparent diffusion coefficient; Hepatocellular carcinoma; Magnetic resonance imaging; Patients; HISTOLOGICAL GRADE; CANCER STATISTICS; HEPATITIS-B; SURVIVAL; PROGNOSIS; INVASION; IMAGES;
D O I
10.2174/0115734056259418231112102249
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Background: Accurately predicting the hepatocellular carcinoma (HCC) grade may facilitate the rational selection of treatment strategies. The diagnostic efficacy of the combination of Gadolinium ethoxybenzy diethylenetriamine pentaacetic (Gd-EOB-DTPA) enhancement T1 mapping and apparent diffusion coefficient (ADC) values in predicting HCC grade needs further validation. Objectives: This study aimed to assess the capacity of Gd-EOB-DTPA-enhanced T1 mapping and ADC values, both individually and in combination, to discriminate between different grades of HCC. Materials and Methods: From July 2017 to February 2020, 96 patients (male, 83; mean age, 53.67 years; age range, 29-71 years) clinically diagnosed with HCC were included in the present study. All patients underwent Gd-EOB-DTPA-enhanced magnetic resonance imaging (MRI, including T1 mapping sequence) before surgery or biopsy. All the patients were categorized into 3 groups according to the pathological results (including 24 cases of well-differentiated HCCs, 59 cases of moderately differentiated HCCs, 13 cases of and poorly differentiated HCCs). The mean Gd-EOB-DTPA enhanced T1 values (triangle T1=[(T1pre-T1post)/T1pre]x100%) and ADC values between different grading groups of HCC were calculated and compared. The area under the characteristics curve (AUC), the diagnostic threshold, sensitivity, and specificity of Delta T1 and ADC for differential diagnosis were analyzed. Results: Mean triangle T1 was 58% for well-differentiated HCCs, 50% for moderately-differentiated HCCs, and 43% for poorly-differentiated HCCs. triangle T1 showed statistical differences between the groups (P<0.001). The mean ADC values of the 3 groups were 1.11x10-3 mm2/s, 0.91x10-3 mm2/s, and 0.80x10-3mm2/s, respectively. ADC showed statistical differences between the groups (P<0.001). In discriminating well- differentiated group from the moderately differentiated group, the AUC of triangle T1 was 0.751 (95% CI: 0.642, 0.859), the AUC of ADC was 0.782 (95% CI: 0.671, 0.894), the AUC of combined model was 0.811 (95% CI: 0.709, 0.914). In discriminating the poorly differentiated group from the moderately differentiated group, the AUC of triangle T1 was 0.768 (95% CI: 0.634, 0.902), the AUC of ADC was 0.754 (95% CI: 0.603, 0.904), and the AUC of the combined model was 0.841 (95% CI: 0.729, 0.953). Conclusion: Gd-EOB-DTPA enhanced T1 mapping, and ADC values have complementary effects on the sensitivity and specificity for identifying different HCC grades. A combined model of Gd-EOB-DTPA-enhanced MRI T1 mapping and ADC values could improve diagnostic performance for predicting HCC grades.
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页数:13
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