ArticleJournal of gastrointestinal oncology2025
A combination of MRI diffusion-derived vessel density (DDVD) and slow diffusion coefficient (SDC) can reliably diagnose liver hemangioma: a testing of three centers' data.
Article in Journal of gastrointestinal oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- The role of number-of-excitations (NEX) for the usability of free-breathing acquired diffusion-derived 'vessel density' (DDVD) and slow diffusion coefficient (SDC) maps in separating liver cysts, hemangiomas, and solid masses with a focus on small lesions.Journal of gastrointestinal oncology · 2026Article
- Classification of hepatocellular carcinoma Ki-67 expression status by a simple combination of magnetic resonance slow diffusion coefficient (SDC) and apparent diffusion coefficient (ADC): initial promising results.Quantitative imaging in medicine and surgery · 2026Article
- Separation of liver focal nodular hyperplasia (FNH) and liver malignant tumors by a combination of T2-weighted imaging signal and three diffusion magnetic resonance metrics of diffusion-derived vessel density, slow diffusion coefficient, and apparent diffusion coefficient.Journal of gastrointestinal oncology · 2026Article
- Improvement of magnetic resonance imaging diffusion metric 'slow diffusion coefficient (SDC)' over apparent diffusion coefficient (ADC) for isocitrate dehydrogenase (IDH) genotyping in diffuse gliomas.Quantitative imaging in medicine and surgery · 2026Article
- Reliable diagnosis of liver focal nodular hyperplasia by a combination of T2 weighted signal and three diffusion magnetic resonance metrics of diffusion-derived 'vessel density', slow diffusion coefficient, and apparent diffusion coefficient: a validation study of two centers' data.Quantitative imaging in medicine and surgery · 2026Article
- An explanation for why tissues with T2 of around 70 milliseconds always measure low MRI apparent diffusion coefficient (ADC).Quantitative imaging in medicine and surgery · 2025Article
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10 authors.
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Abstract
Background: Magnetic resonance diffusion-derived vessel density (DDVD) is a physiological surrogate of the functional area of microvessels per unit tissue area, calculated according to: DDVD(b0b2) = Sb0/ROIarea0 - Sb2/ROIarea2, where Sb0 and Sb2 refer to the tissue signal when Methods: Three liver diffusion-weighted magnetic resonance imaging (MRI) datasets were tested. Dataset-1 consisted of 17 HGs, 35 hepatocellular carcinomas (HCCs), 6 intra-hepatic cholangiocarcinomas (ICCs), 2 metastases (Mets), and 7 focal nodular hyperplasias (FNHs). Images were acquired at 3.0-T, and DDVD was calculated with Results: Liver HG typically showed high signal on the DDVDm and very high liquid signal on the SDCm. MFL typically showed iso- or slightly high signal on DDVDm and lower than liquid signal on SDCm. For the combination of dataset-1 and dataset-2, 95.8% (23/24) of the HGs and 97.7% (129/132) of the MFLs were correctly classified with confidence. One HG and two MFLs were correctly classified but without confidence, only one MFL was classified as undecided. Dataset-3 overall had a low signal-to-noise ratio, and 75.0% (6/8) of the HGs and 96.4% (27/28) of the MFLs were correctly suggested. One of the HGs was classified as undecided, while one HG was incorrectly suggested to be an MFL. Conclusions: When a combination of DDVDm and SDCm is used to evaluate the liver, HG and MFL can mostly be reliably separated without the need for a contrast-enhanced scan. Our results will be relevant for HG confirmation when MRI is the first-line examination for the liver.
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