ArticleEuropean radiology2013
Intravoxel incoherent motion model-based liver lesion characterisation from three b-value diffusion-weighted MRI.
Article in European radiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
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Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analysis of intravoxel incoherent motion magnetic resonance imaging in differentiating focal lesions of the liver.Medicine · 2018Pooled it
- Intravoxel Incoherent Motion of Colon Cancer Liver Metastases for the Assessment of Response to Antiangiogenic Treatment: Results from a Pilot Study.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2020Trial
- Differentiation of hepatocellular carcinoma from hepatic hemangioma using diffusion-derived vessel density map-based radiomics features.Frontiers in oncology · 2026Article
- Combined diffusion and perfusion index maps from simplified intravoxel incoherent motion imaging enable visual assessment of breast lesions.Scientific reports · 2025Article
- Higher perfusion of rectum carcinoma relative to tumor-free rectal wall: quantification by a new imaging biomarker diffusion-derived vessel density (DDVD).Quantitative imaging in medicine and surgery · 2024Article
- Underestimation of liver hemangioma perfusion fraction by standard intravoxel incoherent motion diffusion magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2024Article
- Article
- Simplified intravoxel incoherent motion DWI for differentiating malignant from benign breast lesions.European radiology experimental · 2022Article
- Application of intravoxel incoherent motion diffusion-weighted imaging in hepatocellular carcinoma.World journal of gastroenterology · 2022Review
- Simplified intravoxel incoherent motion diffusion-weighted MRI of liver lesions: feasibility of combined two-colour index maps.European radiology experimental · 2021Article
- Statistical Evaluation of Different Mathematical Models for Diffusion Weighted Imaging of Prostate Cancer Xenografts in Mice.Frontiers in oncology · 2021Article
- Diffusion-weighted MRI of the liver: challenges and some solutions for the quantification of apparent diffusion coefficient and intravoxel incoherent motion.American journal of nuclear medicine and molecular imaging · 2021Review
- Article
- Progress of intravoxel incoherent motion diffusion-weighted imaging in liver diseases.World journal of clinical cases · 2020Review
- Topics on quantitative liver magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2019Review
- Is liver lesion characterisation by simplified IVIM DWI also feasible at 3.0 T?European radiology · 2019Article
- Determination of Hepatocellular Carcinoma and Characterization of Hepatic Focal Lesions with Adaptive Multi-Exponential Intravoxel Incoherent Motion Model.Translational oncology · 2018Article
- Comparison of methods for estimation of the intravoxel incoherent motion (IVIM) diffusion coefficient (D) and perfusion fraction (f).Magma (New York, N.Y.) · 2018Article
- Potentials and challenges of diffusion-weighted magnetic resonance imaging in radiotherapy.Clinical and translational radiation oncology · 2018Review
- Accurate IVIM model-based liver lesion characterisation can be achieved with only three b-value DWI.European radiology · 2018Article
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8 authors.
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Abstract
objectiveTo evaluate intravoxel incoherent motion (IVIM) model-based liver lesion characterisation from three b-value diffusion-weighted imaging (DWI).
methodsThe 1.5-T DWI data from a respiratory gated spin-echo echo-planar magnetic resonance imaging sequence (b = 0, 50, 800 s/mm(2)) were retrospectively analysed in 38 patients with different liver lesions. Conventional apparent diffusion coefficient ADC = ADC(0,800) as well as IVIM-based parameters D' = ADC(50,800), ADC_low = ADC(0,50), and f' were calculated voxel-wise. Sixty-one regions of interest in hepatocellular carcinomas (HCCs, n = 24), haemangiomas (HEMs, n = 11), focal nodular hyperplasias (FNHs, n = 11), and healthy liver tissue (REFs, n = 15) were analysed. Group differences were investigated using Student's t-test and receiver-operating characteristic (ROC) analysis.
resultsMean values ± standard deviations of ADC, D', ADC_low (in 10(-5) mm(2)/s), and f' (in %) for REFs/FNHs/HEMs/HCCs were 130 ± 11/143 ± 27/168 ± 16/113 ± 25, 104 ± 12/123 ± 25/162 ± 18/102 ± 23, 518 ± 66/437 ± 97/268 ± 69/283 ± 120, and 18 ± 3/14 ± 4/6 ± 3/9 ± 5, respectively. Differences between lesions and REFs were more significant for IVIM-based parameters than for conventional ADC. ROC analysis showed the best discriminability between HCCs and FNHs for ADC_low and f' and between HEMs and FNHs or HCCs for D'.
conclusionThree instead of two b-value DWI enables a numerically stable and voxel-wise IVIM-based analysis for improved liver lesion characterisation with tolerable acquisition time. KEY POINTS: • Quantitative analysis of diffusion-weighted MRI helps liver lesion characterisation. • Analysis of intravoxel incoherent motion is superior to apparent diffusion coefficient determination. • Only three b-values enable separation of diffusion and microcirculation effects. • The method presented is numerically stable, with voxel-wise results and short acquisition times.
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