ArticleTranslational oncology2018
Determination of Hepatocellular Carcinoma and Characterization of Hepatic Focal Lesions with Adaptive Multi-Exponential Intravoxel Incoherent Motion Model.
Article in Translational oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic value of quantitative DWI and IVIM parameters in differentiating intrahepatic cholangiocarcinoma and hepatocellular carcinoma: a systematic review and meta-analysis.Abdominal radiology (New York) · 2026Pooled it
- Value of intravoxel incoherent motion and diffusion kurtosis imaging to differentiate hepatocellular carcinoma and intrahepatic cholangiocarcinoma.World journal of gastrointestinal oncology · 2025Article
- Reproducibility of intravoxel incoherent motion quantification in the liver across field strengths and gradient hardware.Magnetic resonance in medicine · 2024Article
- Underestimation of liver hemangioma perfusion fraction by standard intravoxel incoherent motion diffusion magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2024Article
- Precision of region of interest-based tri-exponential intravoxel incoherent motion quantification and the role of the Intervoxel spatial distribution of flow velocities.Magnetic resonance in medicine · 2022Article
- Value of Intravoxel Incoherent Motion (IVIM) Imaging for Differentiation between Intrahepatic Cholangiocarcinoma and Hepatocellular Carcinoma.Contrast media & molecular imaging · 2022Article
- Non-mono-exponential diffusion models for assessing early response of liver metastases to chemotherapy in colorectal Cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2019Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo distinguish hepatocellular carcinoma (HCC) from other types of hepatic lesions with the adaptive multi-exponential IVIM model.
methods94 hepatic focal lesions, including 38 HCC, 16 metastasis, 12 focal nodular hyperplasia, 13 cholangiocarcinoma, and 15 hemangioma, were examined in this study. Diffusion-weighted images were acquired with 13 b values (b = 0, 3, …, 500 s/mm
resultsD, D
conclusionThe adaptive multi-exponential IVIM model was useful and reliable to distinguish HCC from other hepatic lesions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.