The pathological differentiated grade is heavily associated with the hepatocellular carcinoma prognosis. Through a prospectively research, we sought to determine the diagnostic performances of three methods of ROI placement for measurements of IVIM parameters in the grading of hepatocellular carcinoma. According to the results, we found that different ROI positioning methods used significantly affects the IVIM and ADC parameters measurements. Measurements of ADCslow value derived from whole tumor volume method entailed the highest diagnostic performance in grading hepatocellular carcinoma. These results suggested that ADCslow value derived from whole tumor volume method might be useful in assessing the differentiated grade of carcinoma, and which might be helpful in predicting the patients’ prognosis.
Between January 2016 and April 2017, eighty-seven patients (63 men and 24 women; mean age, 53.20±10.66 years; range, 30-74 years) with newly diagnosed 91 HCCs were studied by using IVIM imaging. MR imaging was performed by using a 3.0 T MR system (Discovery MR750, GE Healthcare, Milwaukee, USA). An eight-channel phased-array torsor coil (GE Medical System) was used for all measurements. IVIM was performed by using an echo-planner imaging in the axial plane with respiratory gating. The parallel imaging was used and the parameters were: TR/TE, 3158/61.3 ms; field of view, 38 ×28.5 cm2; matrix size, 128×128. Thirteen b values from 0 to 1200 s/mm2 (0, 10, 20, 40, 80, 100, 150, 200, 400, 600, 800, 1000, 1200) were used and the NEX for each b was 1, 6, 4, 2, 2, 2, 1, 1, 2, 4, 6, 6, 8. IVIM was calculated by using bi-exponential with the equation:
S(b)/S(0)=fexp(-b×ADCfast)+(1-f)exp(-b×ADCslow)
Two attending radiologists identified the selection of the representative sections and tumor tissue for ROI positioning. Three different kinds of ROI positioning methods including the whole tumor volume (WTV) method, three-ROIs method (placement of three ROIs on three different sections) and one-section method (placement of single ROI on one section) were used for the measurement. Kruskal-Wallis rank test was used to compare the difference of the ROI positioning methods in each parameter. Receiver operating characteristics (ROC) curves analyses were performed to evaluate the diagnostic performance and the cutoff point was selected by using the maximized values of Youden index.
1. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA: a cancer journal for clinicians 2015;65(2):87-108.
2. Recio-Boiles A, Babiker HM. Cancer, Liver. [Updated 2017 Aug 29]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2017 Jun-. Available from: http://www.ncbi.nlm.nih.gov/books/NBK448337/.
3. Nishie A, Tajima T, Asayama Y, et al. Diagnostic performance of apparent diffusion coefficient for predicting histological grade of hepatocellular carcinoma. European journal of radiology 2011;80(2):e29.
4. Nakanishi M, Chuma M, Hige S, et al. Relationship between diffusion-weighted magnetic resonance imaging and histological tumor grading of hepatocellular carcinoma.[J]. Annals of Surgical Oncology, 2012, 19(4):1302-1309.
5. Muhi A, Ichikawa T, Motosugi U, et al. High-b-value diffusion-weighted MR imaging of hepatocellular lesions: estimation of grade of malignancy of hepatocellular carcinoma. Journal of magnetic resonance imaging: JMRI 2009;30(5):1005-1011.
6. Nasu K, Kuroki Y, Tsukamoto T, Nakajima H, Mori K, Minami M. Diffusion-weighted imaging of surgically resected hepatocellular carcinoma: imaging characteristics and relationship among signal intensity, apparent diffusion coefficient, and histopathologic grade. AJR American journal of roentgenology 2009;193(2):438-444.
7. Granata V, Fusco R, Catalano O, et al. Intravoxel incoherent motion (IVIM) in diffusion-weighted imaging (DWI) for Hepatocellular carcinoma: correlation with histologic grade. Oncotarget 2016;7(48):79357-79364.
8. Amin MB, Edge SB, Greene FL, et al. AJCC cancer Staging Manual. 8th ed.New York:Springer;2017.