Recent advances in non-invasive magnetic resonance imaging assessment of hepatocellular carcinoma

Ippolito, Davide; Inchingolo, Riccardo; Grazioli, Luigi; Drago, Silvia Girolama; Nardella, Michele; Gatti, Marco; Faletti, Riccardo

doi:10.3748/wjg.v24.i23.2413

Cited by 25 publications

(23 citation statements)

References 96 publications

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“…The project was motivated by the fact that there is no phantom described in the literature as far as we know which simulates the typical pattern of HCC. Where the typical pattern of HCC appears in its hyper arterial enhancement and delayed washout, washout in the portal venous phase is typically with malignant lesions of size greater than 2 cm, and this is what the previous studies showed [ [37] , [38] , [39] ].…”

Section: Discussionsupporting

confidence: 59%

Dynamic Hepatocellular Carcinoma Model Within a Liver Phantom for Multimodality Imaging

Ahmad

Suardi

Shukri

et al. 2020

European Journal of Radiology Open

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Introduction Hepatocellular carcinoma (HCC) is one of the most common cancer in the world, and the effectiveness of its treatment lies in its detection in its early stages. The aim of this study is to mimic HCC dynamically through a liver phantom and apply it in multimodality medical imaging techniques including magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound. Methods and materials The phantom is fabricated with two main parts, liver parenchyma and HCC inserts. The liver parenchyma was fabricated by adding 2.5 wt% of agarose powder combined with 2.6 wt% of wax powder while the basic material for the HCC samples was made from polyurethane solution combined with 5 wt% glycerol. Three HCC samples were inserted into the parenchyma by using three cylinders implanted inside the liver parenchyma. An automatic injector is attached to the input side of the cylinders and a suction device connected to the output side of the cylinders. After the phantom was prepared, the contrast materials were injected into the phantom and imaged using MRI, CT, and ultrasound. Results Both HCC samples and liver parenchyma were clearly distinguished using the three imaging modalities: MRI, CT, and ultrasound. Doppler ultrasound was also applied through the HCC samples and the flow pattern was observed through the samples. Conclusion A multimodal dynamic liver phantom, with HCC tumor models have been fabricated. This phantom helps to improve and develop different methods for detecting HCC in its early stages.

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Section: Discussionsupporting

confidence: 59%

Dynamic Hepatocellular Carcinoma Model Within a Liver Phantom for Multimodality Imaging

Ahmad

Suardi

Shukri

et al. 2020

European Journal of Radiology Open

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“…The most common type of histology of primary liver cancer is HCC, which represents 90% of cases [ 22 , 23 ]. Difficulties in treatment and poor prognosis make it important to accurately detect HCC.…”

Section: Discussionmentioning

confidence: 99%

Preoperative diagnosis and prediction of hepatocellular carcinoma: Radiomics analysis based on multi-modal ultrasound images

Zhao

et al. 2018

BMC Cancer

102

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BackgroundThis study aims to establish a radiomics analysis system for the diagnosis and clinical behaviour prediction of hepatocellular carcinoma (HCC) based on multi-parametric ultrasound imaging.MethodsA total of 177 patients with focal liver lesions (FLLs) were included in the study. Every patient underwent multi-modal ultrasound examination, including B-mode ultrasound (BMUS), shear wave elastography (SWE), and shear wave viscosity (SWV) imaging. The radiomics analysis system was built on sparse representation theory (SRT) and support vector machine (SVM) for asymmetric data. Through the sparse regulation from the SRT, the proposed radiomics system can effectively avoid over-fitting issues that occur in regular radiomics analysis. The purpose of the proposed system includes differential diagnosis between benign and malignant FLLs, pathologic diagnosis of HCC, and clinical prognostic prediction. Three biomarkers, including programmed cell death protein 1 (PD-1), antigen Ki-67 (Ki-67) and microvascular invasion (MVI), were included and analysed. We calculated the accuracy (ACC), sensitivity (SENS), specificity (SPEC) and area under the receiver operating characteristic curve (AUC) to evaluate the performance of the radiomics models.ResultsA total of 2560 features were extracted from the multi-modal ultrasound images for each patient. Five radiomics models were built, and leave-one-out cross-validation (LOOCV) was used to evaluate the models. In LOOCV, the AUC was 0.94 for benign and malignant classification (95% confidence interval [CI]: 0.88 to 0.98), 0.97 for malignant subtyping (95% CI: 0.93 to 0.99), 0.97 for PD-1 prediction (95% CI: 0.89 to 0.98), 0.94 for Ki-67 prediction (95% CI: 0.87 to 0.97), and 0.98 for MVI prediction (95% CI: 0.93 to 0.99). The performance of each model improved when the viscosity modality was included.ConclusionsRadiomics analysis based on multi-modal ultrasound images could aid in comprehensive liver tumor evaluations, including diagnosis, differential diagnosis, and clinical prognosis.

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“…e quantitative and semiquantitative evaluation of the local tissue perfusion parameters is based on the changes in microcirculation and hemodynamics of the liver lesions [8,26,29]. GD-BOPTA provides information on the vascular changes and hepatocyte function, increasing the detection sensitivity of early HCC to 91-93% [30]. e relaxation rate of GD-BOPTA is significantly higher than that of the other types of gadolinium paramagnetic contrast agents; it is twice that of GD-DTPA, and even half dose can achieve the same strengthening effect [31].…”

Section: Discussionmentioning

confidence: 99%

Application Value of Magnetic Resonance Perfusion Imaging in the Early Diagnosis of Rat Hepatic Fibrosis

Fan

Yang

et al. 2019

BioMed Research International

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Objective. To assess the application value of perfusion-weighted imaging (PWI) in early diagnosis, quantitation, and hepatic fibrosis staging by analyzing the related parameters in hepatic fibrosis. Methods. A total of 60 rats were randomly divided into the hepatic fibrosis and control groups, and carbon tetrachloride (CCL4) was used to establish the liver fibrosis model. All rats underwent PWI examination, and the trend of the time-signal intensity curve (TIC, automatically generated by the software) was observed. Also, the perfusion parameters, maximum signal reduction ratio (SRRmax), time to peak (TTP), and mean transit time (MTT), were analyzed and compared with pathological staging. Results. The TIC curve was characterized by slow wash-in and wash-out with a low and wide peak. The PWI perfusion parameters were statistically significant in specific groups (P<0.05): SRRmax values (control group and F3, F4), TTP, and MTT values (control group and F2–F4, F1 and F3, F1 and F4, and F2 and F4 in addition to TTP values for F1 and F2). Pearson’s correlation analysis showed a negative correlation of SRRmax with hepatic fibrosis stage (r = −0.439, P<0.05), while TTP and MTT values were positively correlated with hepatic fibrosis stage (TTP, r = 0.798; MTT, r = 0.647; all P<0.001). Conclusions. PWI perfusion parameters reflect the degree of hepatic fibrosis, especially TTP and MTT, and PWI is recommended for the early diagnosis of liver fibrosis for timely intervention and treatment of the disease and delaying its progression.

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Recent advances in non-invasive magnetic resonance imaging assessment of hepatocellular carcinoma

Cited by 25 publications

References 96 publications

Dynamic Hepatocellular Carcinoma Model Within a Liver Phantom for Multimodality Imaging

Dynamic Hepatocellular Carcinoma Model Within a Liver Phantom for Multimodality Imaging

Preoperative diagnosis and prediction of hepatocellular carcinoma: Radiomics analysis based on multi-modal ultrasound images

Application Value of Magnetic Resonance Perfusion Imaging in the Early Diagnosis of Rat Hepatic Fibrosis

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