Prediction of the histopathological grade of hepatocellular carcinoma using qualitative diffusion-weighted, dynamic, and hepatobiliary phase MRI

An, Chansik; Park, Mi-Suk; Jeon, Hyae-Min; Kim, Yeo-Eun; Chung, Woo-Suk; Chung, Yong Eun; Kim, Do Young; Kim, Ki Whang

doi:10.1007/s00330-012-2421-6

Cited by 54 publications

(35 citation statements)

References 15 publications

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“…Previous studies that investigated these imaging features tended to have a higher proportion of tumors with intratumoral fat and encapsulation than in our study (36)(37)(38). A few previous studies consistently found that higher signal intensity on diffusion-weighted images was associated with less histologic differentiation, and a possible relationship between ADCs and histologic differentiation and microvascular invasion has been suggested (39)(40)(41)(42). However, in our study, neither histologic differentiation nor signal intensity or ADC on diffusion-weighted images was a significant predictor of early HCC recurrence.…”

Section: Gastrointestinal Imaging: Prediction Of Early Recurrence Of supporting

confidence: 60%

Single Hepatocellular Carcinoma: Preoperative MR Imaging to Predict Early Recurrence after Curative Resection

An¹,

Kim

Park³

et al. 2015

Radiology

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Purpose:To identify magnetic resonance (MR) imaging features that enable prediction of early recurrence (,2 years) after curative resection of hepatocellular carcinoma (HCC) and to derive a preoperative prediction model. Materials and Methods:This retrospective study was approved by the institutional review board. The requirement to obtain written informed consent was waived. A total of 268 patients who underwent hepatic resection for a single HCC from January 2008 to August 2011 were divided into two cohorts: a training cohort, which was used to derive a prediction model (n = 187), and a validation cohort (n = 81). All MR images from the training cohort were reviewed by two radiologists. A prediction model was constructed by using MR imaging features that were independently associated with early recurrence with use of multiple logistic regression analysis. The performance of the prediction model in the validation cohort was evaluated with respect to discrimination (ie, whether the relative ranking of individual predictions of subsequent early recurrence is in the correct order). Results:In the training cohort, four MR imaging features were independently associated with early recurrence: rim enhancement (odds ratio [ Conclusion:The prediction model derived from rim enhancement, peritumoral parenchymal enhancement, satellite nodule, and tumor size can be used preoperatively to estimate the risk of early recurrence after resection of a single HCC.q RSNA, 2015

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Section: Gastrointestinal Imaging: Prediction Of Early Recurrence Of supporting

confidence: 60%

Single Hepatocellular Carcinoma: Preoperative MR Imaging to Predict Early Recurrence after Curative Resection

An¹,

Kim

Park³

et al. 2015

Radiology

Self Cite

179

130

View full text Add to dashboard Cite

show abstract

“…A correlation between heterogeneous arterial enhancement and worrisome biologic features has not been consistently observed, however (68). Whether the intensity, as opposed to the heterogeneity, of arterial phase enhancement predicts tumor grade, microvascular invasion, or other prognostic features is controversial (69,70). Additionally, the rate at which tumors appear to "wash out" may be important.…”

Section: Feature Commentsmentioning

confidence: 99%

“…Retrospective studies have suggested that restricted diffusion, as assessed by signal intensity ratio or ADC measurement, can be used to predict higher tumor grade (69,147,148), presence of progenitor cell markers (107), microvascular invasion (149), and early recurrence after resection (150). Results have been inconsistent, however, and some investigators have found no correlation between ADC and HCC tumor grade (151).…”

Section: Ancillary Features That Favor the Diagnosis Of Malignancy Bumentioning

confidence: 99%

CT and MR Imaging Diagnosis and Staging of Hepatocellular Carcinoma: Part II. Extracellular Agents, Hepatobiliary Agents, and Ancillary Imaging Features

Choi¹,

Lee²,

Sirlin³

2014

Radiology

453

385

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Computed tomography (CT) and magnetic resonance (MR) imaging play critical roles in the diagnosis and staging of hepatocellular carcinoma (HCC). The second article of this two-part review discusses basic concepts of diagnosis and staging, reviews the diagnostic performance of CT and MR imaging with extracellular contrast agents and of MR imaging with hepatobiliary contrast agents, and examines in depth the major and ancillary imaging features used in the diagnosis and characterization of HCC.q RSNA, 2014

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“…It has actually become common to encounter cases where hypervascular HCC or nodule-in-nodule HCC that is undetectable by MDCT is detected in a routine screening by EOB-MRI because of early enhancement in the arterial phase or clear hypointensity in the hepatobiliary phase [11,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103]. Furthermore, studies comparing the diagnostic performance of EOB-MRI and MDCT for hypervascular HCC have shown that EOB-MRI is superior or, at the very l...…”

Section: Diagnostic Algorithmmentioning

confidence: 99%

Surveillance and Diagnostic Algorithm for Hepatocellular Carcinoma Proposed by the Liver Cancer Study Group of Japan: 2014 Update

et al. 2014

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Surveillance and diagnostic algorithms for hepatocellular carcinoma (HCC) have already been described in guidelines published by the American Association for the Study of Liver Diseases (AASLD), the European Association for the Study of the Liver and the European Organisation for Research and Treatment of Cancer (EASL-EORTC), and the Japan Society of Hepatology (JSH), but the content of these algorithms differs slightly. The JSH algorithm mainly differs from the other two algorithms in that it is highly sophisticated and considers the functional imaging techniques of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid-enhanced MRI (EOB-MRI) and Sonazoid contrast-enhanced ultrasound (CEUS) to be very important diagnostic modalities. In contrast, the AASLD and EASL-EORTC algorithms are less advanced and suggest that a diagnosis be made based solely on hemodynamic findings using dynamic CT/MRI and biopsy findings. A consensus meeting regarding the JSH surveillance and diagnostic algorithm was held at the 50th Liver Cancer Study Group of Japan Congress, and a 2014 update of the algorithm was completed. The new algorithm reaffirms the very important role of EOB-MRI and Sonazoid CEUS in the surveillance and diagnosis of liver cancer and is more sophisticated than those currently used in the United States and Europe. This is now an optimized algorithm that can be used to diagnose early-stage to classical HCC easily and highly accurately.

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Prediction of the histopathological grade of hepatocellular carcinoma using qualitative diffusion-weighted, dynamic, and hepatobiliary phase MRI

Cited by 54 publications

References 15 publications

Single Hepatocellular Carcinoma: Preoperative MR Imaging to Predict Early Recurrence after Curative Resection

Single Hepatocellular Carcinoma: Preoperative MR Imaging to Predict Early Recurrence after Curative Resection

CT and MR Imaging Diagnosis and Staging of Hepatocellular Carcinoma: Part II. Extracellular Agents, Hepatobiliary Agents, and Ancillary Imaging Features

Surveillance and Diagnostic Algorithm for Hepatocellular Carcinoma Proposed by the Liver Cancer Study Group of Japan: 2014 Update

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