Value of Intravoxel Incoherent Motion for Hepatocellular Carcinoma Grading

Sökmen, Bedriye Koyuncu; Sabet, Soheil; Öz, Ayşegül; Server, Sadık; Namal, Esat; Dayangaç, Murat; Dogusoy, Gulen; Tokat, Yaman; İnan, Nagihan

doi:10.1016/j.transproceed.2019.02.027

Cited by 17 publications

(18 citation statements)

References 21 publications

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“…Moreover, the D value had better diagnostic performance than the ADC value for differentiating low-and high-grade HCC. Similar results were reported by Sokmen et al [35] , Therefore, both studies improved the design of the experiments, and further confirmed the results on the basis of the findings by Granata et al [33] , which indicated that the combination of DWI and IVIM could be used to determine the degree of HCC differentiation rather than using DWI alone. However, due to defects in the study design (i.e., retrospective study), insufficient sample size and an unclear gold standard, further prospective studies are needed.…”

Section: Restricted Diffusion Movement Of Water Molecules Within Tumosupporting

confidence: 88%

“…Intravoxel incoherent motion (IVIM), as a DWI-derived novel technique, enables monitoring of tissue diffusivity and microcapillary perfusion independently [32] . IVIM-derived parameters such as perfusion fraction (fp) and diffusion coefficient (D) combined with ADC of DWI, are reported to correlate with HCC histological grade [33][34][35] . In the study by Granata et al [33] , ADC (2.11 × 10 -3 mm 2 /s), fp (47.33%) and D (0.94 × 10 -3 mm 2 /s) values were considered as the optimal cut-off points in distinguishing high-from lowgrade HCCs.…”

Section: Restricted Diffusion Movement Of Water Molecules Within Tumomentioning

confidence: 99%

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Imaging biomarkers for predicting poor prognosis of hepatocellular carcinoma: a review

Zhang¹,

Huang²,

Chen³

et al. 2020

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Hepatocellular carcinoma (HCC) is a primary malignancy of the liver with a high mortality rate. Heterogeneity is the main biological characteristic of HCC, which manifests through the different biological behaviors of each phenotype and ultimately, affects patient prognosis and treatment efficacy. Various aggressive biological behaviors are considered to be associated with the poor prognosis of HCC patients including poor differentiation, microvascular invasion, intracellular fat accumulation, invasive growth, bile duct invasion or tumor thrombosis, and tumor spread and metastasis, and have been reported as prognostic biomarkers. In addition, HCC results from multifactor synergistic damage, and various factors related to genetics, molecular pathology and immunohistochemistry such as β-catenin, Ki67, cytokeratin-19, and epithelial cell adhesion molecule have an impact on HCC differentiation and prognosis. This article is an overview of the biological behaviors that lead to poor prognosis of HCC, and the roles of morphological and quantitative noninvasive imaging biomarkers in the evaluation and prediction of these behaviors. Some common biomarkers related to genetics, molecular pathology and immunohistochemistry are also briefly summarized. It is hoped that this review will provide clinicians and radiologists with an update on the development of liver imaging, and provide directions for the combination of radiology, genetics, molecular pathology and histopathology to better predict the prognosis of HCC patients.

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Section: Restricted Diffusion Movement Of Water Molecules Within Tumosupporting

confidence: 88%

Section: Restricted Diffusion Movement Of Water Molecules Within Tumomentioning

confidence: 99%

Imaging biomarkers for predicting poor prognosis of hepatocellular carcinoma: a review

Zhang¹,

Huang²,

Chen³

et al. 2020

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“…The results showed that the ADC, D, and f values of HCC were significantly different among the well differentiated, moderately differentiated, and poorly differentiated groups and were significantly correlated with histologic differentiation; the AUCs for the diagnosis of well differentiated HCC by the ADC, D, and f were 0.903, 0.84, and 0.782, respectively, while the AUCs for the diagnosis of poorly differentiated HCC were 0.787, 0.726, and 0.624, respectively. Sokmen 33 and Granata et al 34 obtained similar results. In addition, Li 35 studied IVIM-DWI in rat models of HCC induced by diethylnitrosamine (DEN).…”

Section: Discussionmentioning

confidence: 54%

A study of the correlations between IVIM-DWI parameters and the histologic differentiation of hepatocellular carcinoma

Zhou

Gong

et al. 2021

Sci Rep

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The present study aimed to investigate the value of intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) in the preoperative prediction of the histologic differentiation of hepatocellular carcinoma (HCC). Seventy HCC patients were scanned with a 3.0 T magnetic resonance scanner. The values of apparent diffusion coefficient (ADC), slow apparent diffusion coefficient (D), fast apparent diffusion coefficient (D*), and the fraction of the fast apparent diffusion coefficient (f) were measured. Analysis of variance was used to compare the differences in parameters between groups with different degrees of histologic differentiation. p < 0.05 was considered statistically significant. Receiver operating characteristic (ROC) curves were used to analyse the efficacy of IVIM-DWI parameters for predicting the histologic differentiation of HCC. The ADC and D values for well, moderately and poorly differentiated HCC were 1.35 ± 0.17 × 10−3 mm2/s, 1.16 ± 0.17 × 10−3 mm2/s, 0.98 ± 0.21 × 10−3 mm2/s, and 1.06 ± 0.15 × 10−3 mm2/s, 0.88 ± 0.16 × 10−3 mm2/s, 0.76 ± 0.18 × 10−3 mm2/s, respectively, and all differences were significant. The D* and f values of the three groups were 32.87 ± 14.70 × 10−3 mm2/s, 41.68 ± 17.90 × 10−3 mm2/s, 34.54 ± 18.60 × 10−3 mm2/s and 0.22 ± 0.07, 0.23 ± 0.08, 0.18 ± 0.07, respectively, with no significant difference. When the cut-off values of ADC and D were 1.25 × 10−3 mm2/s and 0.97 × 10−3 mm2/s, respectively, their diagnostic sensitivities and specificities for distinguishing well differentiated HCC from moderately differentiated and poorly differentiated HCC were 73.3%, 85.5%, 86.7%, and 78.2%, and their areas under the ROC curve were 0.821 and 0.841, respectively. ADC and D values can be used preoperatively to predict the degree of histologic differentiation in HCC, and the D value has better diagnostic value.

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“…The main parameters derived from the biexponential model are D (pure diffusion coefficient), D * (pseudodiffusion coefficient), and f (perfusion fraction) [14]. Many studies have shown that the IVIM parameters are important surrogate biomarkers to provide information about tissue physiology [15], with applications in evaluating liver fibrosis [16], transplant kidney function [17], and hepatocellular carcinoma grading [18], providing information on tumor microenvironment related to treatment effect, predicting tumor aggressiveness, and monitoring treatment response [19]. However, IVIM parameters still suffer from image artifacts, especially in gas-containing organs [20].…”

Section: Introductionmentioning

confidence: 99%

Application of Field-of-View Optimized and Constrained Undistorted Single Shot (FOCUS) with Intravoxel Incoherent Motion (IVIM) in 3T in Locally Advanced Rectal Cancer

et al. 2021

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Purpose. To evaluate the efficacy of field-of-view (FOV) optimized and constrained undistorted single shot (FOCUS) with IVIM in 3T MRI in the grading of patients with locally advanced rectal cancer. Methods. From January 1st to December 31st, 2019, patients with locally advanced rectal cancer were retrieved. FOCUS DWI and FOCUS IVIM were obtained. Apparent diffusion coefficient (ADC) and IVIM parameters including mean true diffusion coefficient ( D ), pseudodiffusion coefficient associated with blood flow ( D ∗ ), and perfusion fraction ( f ) of the tumor parenchyma and normal rectal wall, as well as the normalized tumor parameters by corresponding normal intestinal wall parameters (ADCNOR, D NOR , D ∗ NOR , and f NOR ), were compared between the well/moderately differentiated and poorly differentiated groups by Student’s t -test. The relationship between the above parameters and the histologic grade was analyzed using Spearman’s correlation test, with the ROC curve generated. Results. Eighty-eight patients (aged 31 to 77 years old, mean = 56 ) were included for analysis. D tumor and f tumor were positively correlated with the tumor grade ( r = 0.483 , p < 0.001 and r = 0.610 , p < 0.001 , respectively). All the normalized parameters (ADCNOR, D NOR , D ∗ NOR , and f NOR ) were positively correlated with the tumor grade ( r = 0.267 , p = 0.007 ; r = 0.564 , p = 0.001 ; r = 0.414 , p = 0.005 ; and r = 0.605 , p < 0.001 , respectively). The best discriminative parameter was the f tumor value, and the area under the ROC curve was 0.927. With a cut-off value of 22.0%, f tumor had a sensitivity of 88.9% and a specificity of 100%. Conclusion. FOCUS IVIM-derived parameters and normalized parameters are useful for predicting the histologic grade in rectal cancer patients.

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Value of Intravoxel Incoherent Motion for Hepatocellular Carcinoma Grading

Cited by 17 publications

References 21 publications

Imaging biomarkers for predicting poor prognosis of hepatocellular carcinoma: a review

Imaging biomarkers for predicting poor prognosis of hepatocellular carcinoma: a review

A study of the correlations between IVIM-DWI parameters and the histologic differentiation of hepatocellular carcinoma

Application of Field-of-View Optimized and Constrained Undistorted Single Shot (FOCUS) with Intravoxel Incoherent Motion (IVIM) in 3T in Locally Advanced Rectal Cancer

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