Quantitative free-breathing dynamic contrast-enhanced MRI in hepatocellular carcinoma using gadoxetic acid: correlations with Ki67 proliferation status, histological grades, and microvascular density

Chen, Jie; Chen, Chenyang; Xia, Chunchao; Huang, Zixing; Zuo, Panli; Stemmer, Alto; Song, Bin

doi:10.1007/s00261-017-1320-3

Cited by 25 publications

(26 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Wu et al found that a radiomics analysis based on MRI had the potential to discriminate HCCs with a high ES grade with an AUROC of 0.742 to 0.8. Chen et al found that the MRI perfusion parameter K trans had the best diagnostic sensitivity and specificity for distinguishing HCCs with a high grade (93.3% and 63.2%, respectively), with an AUROC of 0.78. In general, the D value was superior to the ADC value and other MRI techniques in the pathological grading of poorly differentiated HCCs.…”

Section: Discussionmentioning

confidence: 99%

Diagnostic accuracy of quantitative diffusion parameters in the pathological grading of hepatocellular carcinoma: A meta‐analysis

She

Wang

Yang

et al. 2019

Magnetic Resonance Imaging

View full text Add to dashboard Cite

Background: Accurate preoperative assessment of the pathological grade of hepatocellular carcinoma (HCC) could greatly benefit prognostic predictions. Purpose: To assess and compare the diagnostic accuracy of the apparent diffusion coefficient (ADC) and tissue diffusivity (D) for the noninvasive pathological grading of HCC. Study Type: Meta-analysis. Data Sources: PubMed/Medline, EMBASE, the Web of Science, and the Cochrane Library were searched to find related original articles published up to May 30, 2019. Field Strength/Sequence: Diffusion-weighted imaging (DWI) and/or intravoxel incoherent motion (IVIM) were performed with a 1.5T or 3.0T scanner. Assessment: The Quality Assessment of Diagnostic Accuracy Studies 2 tool was used to assess the methodologic quality. Statistical Tests: The bivariate random-effects model was used to obtain the pooled sensitivity and specificity, and the area under summary receiver operating characteristic curve (AUROC) was obtained. Subgroup analyses were performed. Results: A total of 16 original articles (1428 HCCs) were included. Most studies had a low to unclear risk of bias and minimal concerns regarding applicability. For the discrimination of well-differentiated HCCs, the pooled sensitivity and specificity of the ADC value were 85% and 92%, respectively. For the discrimination of poorly differentiated HCCs, the pooled sensitivity and specificity of the ADC value and D were 84% and 80%, and 92% and 77%, respectively. The summary AUROC of D (0.94) was significantly higher than that of ADC (0.89) (z = -2.718, P = 0.007). The subgroup analyses identified three covariates including size, number of included lesions in the studies, and blindness to the reference standard as possible sources of heterogeneity. Data Conclusion: This meta-analysis showed that the ADC and D values had a high to excellent accuracy for the noninvasive pathological grading of HCCs and that the D value was superior to the ADC value for discriminating poorly differentiated HCCs. Level of Evidence: 3 Technical Efficacy Stage: 2 J. MAGN. RESON. IMAGING 2020;51:1581-1593 H EPATOCELLULAR CARCINOMA (HCC) is the most common type of primary malignant liver neoplasm and the second cause of malignancy-related death worldwide. 1Although treatments have progressed in recent years, the prognosis of HCC patients remains poor because of the high recurrence rate. 2 Studies have confirmed that the pathological View this article online at wileyonlinelibrary.com.

show abstract

Section: Discussionmentioning

confidence: 99%

Diagnostic accuracy of quantitative diffusion parameters in the pathological grading of hepatocellular carcinoma: A meta‐analysis

She

Wang

Yang

et al. 2019

Magnetic Resonance Imaging

View full text Add to dashboard Cite

show abstract

“…In a recent study from Chen et al[ 39 ], the max-Ktrans seemed to correlate with tumor grades (rho = -0.382, P = 0.028). The Ktrans, Kep, and iAUC of high-grades HCC were significantly lower than that of low-grades HCC ( P = 0.001, 0.031, 0.003, respectively), but there was no statistically significant differences for Ve between high grade and low grade HCC ( P > 0.05)[ 39 ].…”

Section: Perfusion Imagingmentioning

confidence: 96%

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

Ippolito

Inchingolo

Grazioli

et al. 2018

WJG

View full text Add to dashboard Cite

Magnetic resonance (MR) imaging of the liver is an important tool for the detection and characterization of focal liver lesions and for assessment of diffuse liver disease, having several intrinsic characteristics, represented by high soft tissue contrast, avoidance of ionizing radiation or iodinated contrast media, and more recently, by application of several functional imaging techniques (i.e., diffusion-weighted sequences, hepatobiliary contrast agents, perfusion imaging, magnetic resonance (MR)-elastography, and radiomics analysis). MR functional imaging techniques are extensively used both in routine practice and in the field of clinical and pre-clinical research because, through a qualitative rather than quantitative approach, they can offer valuable information about tumor tissue and tissue architecture, cellular biomarkers related to the hepatocellular functions, or tissue vascularization profiles related to tumor and tissue biology. This kind of approach offers in vivo physiological parameters, capable of evaluating physiological and pathological modifications of tissues, by the analysis of quantitative data that could be used in tumor detection, characterization, treatment selection, and follow-up, in addition to those obtained from standard morphological imaging. In this review we provide an overview of recent advanced techniques in MR for the diagnosis and staging of hepatocellular carcinoma, and their role in the assessment of response treatment evaluation.

show abstract

“…Previous studies indicated correlations between K trans and microvessel density in several malignancies [ 7 , 9 ]. Also some authors suggested that K trans correlated with proliferation activity (KI 67 expression) in hepatocellular carcinoma [ 26 ]. However, this did not apply for all lesions [ 8 , 9 ].…”

Section: Discussionmentioning

confidence: 99%

“…Tumor proliferation index as relation of KI 67 stained nuclei divided by all nuclei [ 25 , 26 ]. Though for the analysis the area with the highest number of positive tumor nuclei was selected (Figure 1 );…”

Section: Methodsmentioning

confidence: 99%

Histogram analysis parameters of dynamic contrast-enhanced magnetic resonance imaging can predict histopathological findings including proliferation potential, cellularity, and nucleic areas in head and neck squamous cell carcinoma

et al. 2018

View full text Add to dashboard Cite

Our purpose was to analyze possible associations between histogram analysis parameters of dynamic contrast-enhanced magnetic resonance imaging DCE MRI and histopathological findings like proliferation index, cell count and nucleic areas in head and neck squamous cell carcinoma (HNSCC).30 patients (mean age 57.0 years) with primary HNSCC were included in the study. In every case, histogram analysis parameters of Ktrans, Ve, and Kep were estimated using a mathlab based software. Tumor proliferation index, cell count, and nucleic areas were estimated on Ki 67 antigen stained specimens. Spearman's non-parametric rank sum correlation coefficients were calculated between DCE and different histopathological parameters.KI 67 correlated with Ktrans min (p = −0.386, P = 0.043) and s Ktrans skewness (p = 0.382, P = 0.045), Ve min (p = −0.473, P = 0.011), Ve entropy (p = 0.424, P = 0.025), and Kep entropy (p = 0.464, P = 0.013). Cell count correlated with Ktrans kurtosis (p = 0.40, P = 0.034), Ve entropy (p = 0.475, P = 0.011). Total nucleic area correlated with Ve max (p = 0.386, P = 0.042) and Ve entropy (p = 0.411, P = 0.030).In G1/2 tumors, only Ktrans entropy correlated well with total (P =0.78, P =0.013) and average nucleic areas (p = 0.655, P = 0.006). In G3 tumors, KI 67 correlated with Ve min (p = −0.552, P = 0.022) and Ve entropy (p = 0.524, P = 0.031). Ve max correlated with total nucleic area (p = 0.483, P = 0.049). Kep max correlated with total area (p = −0.51, P = 0.037), and Kep entropy with KI 67 (p = 0.567, P = 0.018).We concluded that histogram-based parameters skewness, kurtosis and entropy of Ktrans, Ve, and Kep can be used as markers for proliferation activity, cellularity and nucleic content in HNSCC. Tumor grading influences significantly associations between perfusion and histopathological parameters.

show abstract

Quantitative free-breathing dynamic contrast-enhanced MRI in hepatocellular carcinoma using gadoxetic acid: correlations with Ki67 proliferation status, histological grades, and microvascular density

Cited by 25 publications

References 55 publications

Diagnostic accuracy of quantitative diffusion parameters in the pathological grading of hepatocellular carcinoma: A meta‐analysis

Diagnostic accuracy of quantitative diffusion parameters in the pathological grading of hepatocellular carcinoma: A meta‐analysis

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

Histogram analysis parameters of dynamic contrast-enhanced magnetic resonance imaging can predict histopathological findings including proliferation potential, cellularity, and nucleic areas in head and neck squamous cell carcinoma

Contact Info

Product

Resources

About