3D MR Elastography of Hepatocellular Carcinomas as a Potential Biomarker for Predicting Tumor Recurrence

Wang, Jin; Shan, Qungang; Liu, Yong; Yang, Hao; Kuang, Sichi; He, Baorong; Chen, Jingbiao; Zhang, Tianhui; Glaser, Kevin J.; Zhu, Cairong; Chen, Jun; Yin, Min-Jean; Venkatesh, Sudhakar K.; Ehman, Richard L.

doi:10.1002/jmri.26250

Cited by 54 publications

(36 citation statements)

References 39 publications

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“…Magnetic resonance elastography can predict the development of hepatocellular carcinoma: a meta-analysis and systematic review of clinical treatment methods as well as the assessment of prognosis (12)(13)(14)(15).…”

Section: Original Articlementioning

confidence: 99%

Magnetic resonance elastography can predict the development of hepatocellular carcinoma: a meta-analysis and systematic review

Wu¹,

Bi²,

Liu³

et al. 2021

J Gastrointest Oncol

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Background: Hepatocellular carcinoma (HCC) has become the third leading cause of cancer-related death worldwide, and its incidence rate is increasing. Magnetic resonance elastography (MRE) can indirectly realize the accurate non-invasive evaluation of liver reserve function in HCC patients. In this study, we aimed to evaluate the effectiveness of MRE in the diagnosis of HCC patients.Methods: We searched globally-recognized electronic databases, such as PubMed, EMBASE, China National Knowledge Infrastructure, and Cochrane Central, for relevant literature on MRE prediction of HCC. The diagnostic performance of all studies was quantitatively summarized using a bivariate random effects model including heterogeneity analysis, receiver operating characteristic (ROC) curve, and bias determination.Results: The diagnostic accuracy of MRE for HCC was based on 1,735 patients. The sensitivity (31-100%) was lower than the specificity (81-94%). The overall sensitivity was 64% [95% confidence interval (CI): 46-79%; I 2 =92.44%], and the overall specificity was 85% (95% CI: 82-88%; I 2 =67.86%). Limited publication bias was observed in this study, and the sensitivity analysis showed that the study was robust. Discussion:The results of our meta-analysis show that MRE has moderate sensitivity and excellent specificity in the detection of HCC. MRE can be an effective diagnostic tool for HCC and can provide strong support for the selection of clinical treatment methods and prognostic judgment.

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Section: Original Articlementioning

confidence: 99%

Magnetic resonance elastography can predict the development of hepatocellular carcinoma: a meta-analysis and systematic review

Wu¹,

Bi²,

Liu³

et al. 2021

J Gastrointest Oncol

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“…For every 1 kPa increase in tumor stiffness, the risk of tumor recurrence increased by 16.3%. The relapsed HCC has higher tumor stiffness ( 49 ). Liver stiffness measured by MRE can also be used as a prognostic indicator for HCC patients undergoing hepatectomy.…”

Section: Application Of Mre In Tumor Diagnosis and Treatmentmentioning

confidence: 99%

The Advance of Magnetic Resonance Elastography in Tumor Diagnosis

Yang

Qiu

2021

Front. Oncol.

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The change in tissue stiffness caused by pathological changes in the tissue’s structure could be detected earlier, prior to the manifestation of their clinical features. Magnetic resonance elastography (MRE) is a noninvasive imaging technique that uses low-frequency vibrations to quantitatively measure the elasticity or stiffness of tissues. In tumor tissue, stiffness is directly related to tumor development, invasion, metastasis, and chemoradiotherapy resistance. It also dictates the choice of surgical method. At present, MRE is widely used in assessing different human organs, such as the liver, brain, breast, prostate, uterus, gallbladder, and colon stiffness. In the field of oncology, MRE’s value lies in tumor diagnosis (especially early diagnosis), selection of treatment method, and prognosis evaluation. This article summarizes the principle of MRE and its research and application progress in tumor diagnosis and treatment.

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“…Other authors using radiomics on pre-operative CT-scans found a good correlation with MVI (AUC 0.80) [74] . Beyond texture, using 3D MRI was also possible to evaluate tissue stiffness; a multicenter study [75] recently found that HCCs with subsequent recurrence had higher tumor stiffness.…”

Section: Imaging Predictive Factorsmentioning

confidence: 99%

Predictive factors for hepatocellular carcinoma recurrence after curative treatments

Marasco¹,

Ravaioli²,

Vestito³

et al. 2020

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Hepatocellular carcinoma (HCC) is the fifth most common neoplasm worldwide. Recurrence of HCC after resection or loco-regional therapies represents an important clinical issue as it affects up to 70% of patients. This can be divided into early or late, if it occurs within or after 24 months after treatment, respectively. While the predictive factors for early recurrence are mainly related to tumour biology (local invasion and intrahepatic metastases), late recurrences are mainly related to de novo tumour formation. Thus, it is important to recognize these factors prior to any treatment in each patient, in order to optimize the treatment strategy and follow-up after treatment. The aim of this review is to summarize the current evidence available regarding predictive factors for the recurrence of HCC, according to the different therapeutic strategies available. In particular, we will discuss the role of new ultrasound-based techniques and biological features, such as tumor-related and circulating biomarkers, in predicting HCC recurrence. Recent advances in imaging-related parameters in computed-tomography scans and magnetic resonance imaging will also be discussed.

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3D MR Elastography of Hepatocellular Carcinomas as a Potential Biomarker for Predicting Tumor Recurrence

Abstract: 4 Technical Efficacy: Stage 5 J. MAGN. RESON. IMAGING 2018.

Cited by 54 publications

References 39 publications

Magnetic resonance elastography can predict the development of hepatocellular carcinoma: a meta-analysis and systematic review

Magnetic resonance elastography can predict the development of hepatocellular carcinoma: a meta-analysis and systematic review

The Advance of Magnetic Resonance Elastography in Tumor Diagnosis

Predictive factors for hepatocellular carcinoma recurrence after curative treatments

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