ArticleJournal of gastrointestinal oncology2026
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.
Article in Journal of gastrointestinal oncology, 2026. 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.
- Relationships among slow diffusion coefficient and diffusion-derived 'vessel density' signal features, Gadoxetate delayed enhancement, tumor size, tumor grading, and patient survival: an exploratory study of mass-forming intrahepatic cholangiocarcinoma.Journal of gastrointestinal oncology · 2026Article
- 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
- The impacts of time of echo and time of repetition on slow diffusion coefficient (SDC) measure and the potential age- and gender-related variations in liver and spleen SDC values: studies of healthy volunteers.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
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Abstract
Background: This study investigates the differentiation of liver focal nodular hyperplasia (FNH) from liver malignant tumor (MT) by a combination of T2-weighted imaging (T2WI), diffusion-derived vessel density (DDVD), slow diffusion coefficient (SDC), and apparent diffusion coefficient (ADC). Based on the odds ratio (OR) for a sign to suggest the possibility of a lesion being FNH, we propose a liver mass sum score (LiverMss-FNH) scheme to facilitate the diagnosis. Methods: Liver diffusion-weighted magnetic resonance imaging included 13 cases of FNH and 82 cases of MT. DDVD was calculated from Results: A total of 26 MT cases had large (median 8.1 cm, standard deviation: 4.2 cm) and very heterogeneous masses which were very unlikely to be FNH. The remaining 13 FNH cases (median 3.8 cm, standard deviation: 1.7 cm) and 56 MT cases (median 4.9 cm, standard deviation: 4.3 cm; hepatocellular carcinoma, n=40; metastasis, n=12; intrahepatic cholangiocarcinoma, n=4) were evaluated with LiverMss. Liver lass lesion being not high signal on T2WI, being iso-signal on DDVD, being not high signal on SDC, being not low signal on ADC, and the existence of stellate scar had ORs of 49.1, 45.8, 30, 8.5, and 13.3, respectively, favoring the diagnosis of FNH. A total of 69.2% (9/13) of the FNH had LiverMss-FNH ≥4.0, while the remaining 4 cases (30.8%) all had a LiverMss-FNH of 3.0. A total of 89.3% (50/56) of the MT had LiverMss-FNH ≤1.5. Conclusions: Liver FNH tend to have lower DDVD signal and lower SDC signal than liver MT. A LiverMss ≥4 can strongly suggest the diagnosis for a liver mass being FNH, and while a LiverMss-FNH ≤1.5 can strongly suggest the diagnosis for a liver mass being MT.
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