Hepatocellular carcinoma: Short‐term reproducibility of apparent diffusion coefficient and intravoxel incoherent motion parameters at 3.0T

Kakite, Suguru; Dyvorne, Hadrien; Besa, Cecilia; Cooper, Nancy; Facciuto, Marcelo; Donnerhack, Claudia; Taouli, Bachir

doi:10.1002/jmri.24538

Cited by 111 publications

(129 citation statements)

References 44 publications

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“…Although we tried to maintain ROI location identical for best endeavors during each operation, it was inevitable that there would still be small differences between Intravoxel incoherent motion imaging for differentiating liver cancer • 267 (17)(18)(19). However, the range of the CR (Bland-Altman) in our study was smaller and reasonably acceptable compared with previous studies (20,21), which could be explained by our homogeneous ROI placement scheme.…”

Section: Discussionmentioning

confidence: 71%

Intravoxel incoherent motion: application in differentiation of hepatocellular carcinoma and focal nodular hyperplasia

Luo

Jiang²,

Zhang³

2017

Diagn Interv Radiol

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A mong primary malignant hepatic tumors, hepatocellular carcinoma (HCC) is the most common disease and is highly associated with chronic hepatitis B and cirrhosis. Focal nodular hyperplasia (FNH) is the second most common benign focal liver lesion (1), and although it displays gentle biological behavior generally, it can cause abdominal pain or right upper quadrant discomfort occasionally. In terms of the extent of vascular supply during contrast enhancement, HCC and FNH both show a hyperarterialization pattern. HCC is characterized by rapid washout in portal and delayed phase compared with adjacent liver tissue, while FNH displays isointensity or mild hyperintensity in the venous phase because of its slower washout. Liver-specific contrast agents, such as gadoxetic acid, can provide unique information to diagnose these conditions more precisely; however, such agents increase the cost and time-consumption of diagnosis. Occasionally, HCC and FNH show confounding or atypical appearances on imaging, especially for high-or middle-grade differentiated HCC, leading to confusion, misdiagnosis ( Fig. 1), and even unnecessary interventions. Since the treatment of these two lesions is completely different, avoiding unnecessary invasive treatment or tests, such as biopsy, surgery, or interventional therapy, is vital for the prognosis and quality of life of the patient. Therefore, it is crucial to diagnose these conditions noninvasively and accurately before surgery.Diffusion-weighted imaging (DWI) is a functional technology to detect diffusion of water molecules and permits to capture more detailed disease information. For lesion detection, the signal intensity on diffusion-weighted image depends on several factors, particularly cell density. A B D O M I N A L I MAG I N G O R I G I N A L A R T I C L E PURPOSEWe aimed to explore whether intravoxel incoherent motion (IVIM)-related parameters of hepatocellular carcinoma (HCC) and focal nodular hyperplasia (FNH) demonstrate differences that could be used to differentiate and improve diagnostic efficiency. METHODSA total of 27 patients, including 22 with HCC and 5 with FNH, underwent liver 3.0 T magnetic resonance imaging for routine sequences. They were concurrently examined by IVIM diffusion-weighted imaging (DWI) scanning with 11 different b values (0-800 s/mm 2 ). IVIM-derived parameters, such as pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), perfusion fraction (f ), and apparent diffusion coefficient (ADC total ), were quantified automatically by post-processing software and compared between HCC and FNH groups. A receiver operating characteristic (ROC) curve was then created to predict their diagnostic value. RESULTS

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Section: Discussionmentioning

confidence: 71%

Intravoxel incoherent motion: application in differentiation of hepatocellular carcinoma and focal nodular hyperplasia

Luo

Jiang²,

Zhang³

2017

Diagn Interv Radiol

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“…Second, we did not perform a repeatability analysis. The repeatability of a perfusion-related diffusion coefficient obtained with bi-exponential fitting was reported to be insufficient [24]. It was still unclear whether sufficient repeatability was obtained or not for perfusion-related diffusion parameters when these advanced fitting models are used as fitting methods.…”

Section: Discussionmentioning

confidence: 99%

Advanced diffusion models in head and neck squamous cell carcinoma patients: Goodness of fit, relationships among diffusion parameters and comparison with dynamic contrast-enhanced perfusion

Fujima

Sakashita

Homma

et al. 2017

Magnetic Resonance Imaging

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Purpose:We assessed advanced fitting models of diffusion weighted imaging (DWI) in head/neck squamous cell carcinoma (HNSCC) patients to determine the best goodness of fit and correlations among diffusion parameters. We compared these results with those of dynamic contrast-enhanced (DCE) perfusion parameters. Conclusion:We identified several correlations between DWI parameters by advanced fitting models and correlations between DWI and DCE parameters. These will help determine HNSCC patients' detailed tissue structures.

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“…Various fitting algorithms have been used to determine IVIM parameters, including asymptotic fitting (9)(10)(11)(12)(19)(20)(21)24,41,45,46,48,51,53), nonlinear least square (usually Levenberg-Marquardt) fitting (23,42,47,52,54,55), and Bayesian fitting (15,22,40,43,50). Current review cannot draw conclusion which one is better than others, nor can the mean values be compared (Figure 8).…”

Section: Image Post-processing Methods For Ivim Parametersmentioning

confidence: 99%

“…Accumulation of collagen deposits and activated stellate cells contribute to increased hepatic resistance to portal blood flow, development of portal hypertension, and reduced portal blood perfusion. The decrease of blood perfusion can arise from a number of concomitant alterations in the tissue microenvironment, including collagen deposition, fatty (9)(10)(11)15,23,24,42,43,45,46,(48)(49)(50)(51)(53)(54)(55), free-breathing (FB) (19)(20)(21)40,41,47), and breath-hold (BH) (44). Solid line represents the median value of each group.…”

Section: Ivim For Liver Fibrosis Evaluationmentioning

confidence: 99%

Liver intravoxel incoherent motion (IVIM) magnetic resonance imaging: a comprehensive review of published data on normal values and applications for fibrosis and tumor evaluation

Lǐ¹,

Cercueil²,

Yuan³

et al. 2017

Quant. Imaging Med. Surg.

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210

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Hepatocellular carcinoma: Short‐term reproducibility of apparent diffusion coefficient and intravoxel incoherent motion parameters at 3.0T

Abstract: Poor reproducibility of D*/PF and good reproducibility for D/ADC were observed in HCC and liver parenchyma. These findings may have implications for trials using DWI in HCC.

Cited by 111 publications

References 44 publications

Intravoxel incoherent motion: application in differentiation of hepatocellular carcinoma and focal nodular hyperplasia

Intravoxel incoherent motion: application in differentiation of hepatocellular carcinoma and focal nodular hyperplasia

Advanced diffusion models in head and neck squamous cell carcinoma patients: Goodness of fit, relationships among diffusion parameters and comparison with dynamic contrast-enhanced perfusion

Liver intravoxel incoherent motion (IVIM) magnetic resonance imaging: a comprehensive review of published data on normal values and applications for fibrosis and tumor evaluation

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