Simultaneous liver steatosis, fibrosis and iron deposition quantification with mDixon quant based on radiomics analysis in a rabbit model.
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Liqiu Zou | Haifeng Liu | Qing Wang | Yanan Du | Hao Zhang | Wenxin Zhong | Wei Xing
[1] K. Kudo,et al. Quantitative Susceptibility Mapping versus R2*-based Histogram Analysis for Evaluating Liver Fibrosis: Preliminary Results , 2021, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.
[2] Ying Lin,et al. Multi-Parametric MRI-Based Radiomics Models for Predicting Molecular Subtype and Androgen Receptor Expression in Breast Cancer , 2021, Frontiers in Oncology.
[3] M. Prince,et al. Simultaneous hepatic iron and fat quantification with dual-energy CT in a rabbit model of coexisting iron and fat. , 2021, Quantitative imaging in medicine and surgery.
[4] Jiule Ding,et al. Whole-liver histogram analysis of blood oxygen level-dependent functional magnetic resonance imaging in evaluating hepatic fibrosis. , 2021, Annals of palliative medicine.
[5] I. Kamel,et al. Evaluation of hepatic steatosis before liver transplantation in ex vivo by volumetric quantitative PDFF‐MRI , 2020, Magnetic resonance in medicine.
[6] R. Beets-Tan,et al. Radiomics for the Prediction of Treatment Outcome and Survival in Patients With Colorectal Cancer: A Systematic Review. , 2020, Clinical colorectal cancer.
[7] Ming Ni,et al. Radiomics Approaches for Predicting Liver Fibrosis With Nonenhanced T1‐Weighted Imaging: Comparison of Different Radiomics Models , 2020, Journal of magnetic resonance imaging : JMRI.
[8] C. Kremser,et al. Performance of different Dixon-based methods for MR liver iron assessment in comparison to a biopsy-validated R2* relaxometry method , 2020, European Radiology.
[9] K. Parker,et al. Scattering Signatures of Normal versus Abnormal Livers with Support Vector Machine Classification. , 2020, Ultrasound in medicine & biology.
[10] Kathryn J Fowler,et al. Change in MRI-PDFF and Histologic Response in Patients with Nonalcoholic Steatohepatitis: A Systematic Review and Meta-Analysis. , 2020, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.
[11] W. Rathmann,et al. MRI-Derived Radiomics Features of Hepatic Fat Predict Metabolic States in Individuals without Cardiovascular Disease. , 2020, Academic radiology.
[12] S. Reeder,et al. Design and evaluation of quantitative MRI phantoms to mimic the simultaneous presence of fat, iron, and fibrosis in the liver , 2020, Magnetic resonance in medicine.
[13] Sejong Oh,et al. Hybrid-Recursive Feature Elimination for Efficient Feature Selection , 2020, Applied Sciences.
[14] J. Mertens,et al. Diagnostic accuracy of texture analysis and machine learning for quantification of liver fibrosis in MRI: correlation with MR elastography and histopathology , 2020, European Radiology.
[15] T. Basha,et al. Detecting liver fibrosis using a machine learning‐based approach to the quantification of the heart‐induced deformation in tagged MR images , 2019, NMR in biomedicine.
[16] M. Arumugam,et al. Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration , 2019, Journal of hepatology.
[17] S. Furui,et al. Hepatic tumor classification using texture and topology analysis of non-contrast-enhanced three-dimensional T1-weighted MR images with a radiomics approach , 2019, Scientific Reports.
[18] Yi Wei,et al. 3D Multi-Echo Dixon technique for simultaneous assessment of liver steatosis and iron overload in patients with chronic liver diseases: a feasibility study. , 2019, Quantitative imaging in medicine and surgery.
[19] Jing Zhang,et al. Radiomic analysis of contrast-enhanced CT predicts microvascular invasion and outcome in hepatocellular carcinoma. , 2019, Journal of hepatology.
[20] T. Maloney,et al. Machine Learning Prediction of Liver Stiffness Using Clinical and T2-Weighted MRI Radiomic Data. , 2019, AJR. American journal of roentgenology.
[21] Xinming Zhao,et al. Quantitative magnetic resonance imaging evaluation of hepatic fat content with iron deposition: will it be disturbed? , 2019, The Journal of international medical research.
[22] K. Mehta,et al. Iron and liver fibrosis: Mechanistic and clinical aspects , 2019, World journal of gastroenterology.
[23] Hongyan Ni,et al. The application value of ultra-short echo time MRI in the quantification of liver iron overload in a rat model. , 2019, Quantitative imaging in medicine and surgery.
[24] Moon‐gyu Lee,et al. Radiomics Analysis of Gadoxetic Acid-enhanced MRI for Staging Liver Fibrosis. , 2019, Radiology.
[25] Bohyun Kim,et al. Accuracy and precision of proton density fat fraction measurement across field strengths and scan intervals: A phantom and human study , 2018, Journal of magnetic resonance imaging : JMRI.
[26] P. Pickhardt,et al. Liver Fat Content Measurement with Quantitative CT Validated against MRI Proton Density Fat Fraction: A Prospective Study of 400 Healthy Volunteers. , 2019, Radiology.
[27] C. Sirlin,et al. Longitudinal correlations between MRE, MRI-PDFF, and liver histology in patients with non-alcoholic steatohepatitis: Analysis of data from a phase II trial of selonsertib. , 2019, Journal of hepatology.
[28] Z. Xing,et al. Evaluating Renal Fibrosis with R2* Histogram Analysis of the Whole Cortex in a Unilateral Ureteral Obstruction Model. , 2019, Academic radiology.
[29] C. Shi,et al. Using IVIM-MRI and R2⁎ Mapping to Differentiate Early Stage Liver Fibrosis in a Rat Model of Radiation-Induced Liver Fibrosis , 2018, BioMed research international.
[30] Ming-de Lu,et al. Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis , 2018, European Radiology.
[31] Young Jun Kim,et al. Estimation of hepatic fat fraction using modified Dixon magnetic resonance imaging techniques: effect of liver cirrhosis. , 2018, Clinical imaging.
[32] C. Sirlin,et al. Magnetic Resonance Imaging Proton Density Fat Fraction Associates With Progression of Fibrosis in Patients With Nonalcoholic Fatty Liver Disease. , 2018, Gastroenterology.
[33] Xiaomin Wang,et al. Simultaneous quantification of hepatic MRI-PDFF and R2* in a rabbit model with nonalcoholic fatty liver disease , 2018, Science China Life Sciences.
[34] Fuhua Yan,et al. Iron deposition quantification: Applications in the brain and liver , 2018, Journal of magnetic resonance imaging : JMRI.
[35] T. Yokoo,et al. Liver Iron Quantification with MR Imaging: A Primer for Radiologists. , 2018, Radiographics : a review publication of the Radiological Society of North America, Inc.
[36] Chunlei Liu,et al. Quantitative susceptibility mapping in combination with water-fat separation for simultaneous liver iron and fat fraction quantification , 2018, European Radiology.
[37] Scott B Reeder,et al. Standardized Approach for ROI-Based Measurements of Proton Density Fat Fraction and R2* in the Liver. , 2017, AJR. American journal of roentgenology.
[38] Venkatraman Bhat,et al. Quantification of Liver Fat with mDIXON Magnetic Resonance Imaging, Comparison with the Computed Tomography and the Biopsy. , 2017, Journal of clinical and diagnostic research : JCDR.
[39] S. Serai,et al. Proton Density Fat Fraction Measurements at 1.5- and 3-T Hepatic MR Imaging: Same-Day Agreement among Readers and across Two Imager Manufacturers. , 2017, Radiology.
[40] S. Reeder,et al. Quantification of liver fat in the presence of iron overload , 2017, Journal of magnetic resonance imaging : JMRI.
[41] J. Soto,et al. Application of texture analysis on parametric T1 and T2 maps for detection of hepatic fibrosis , 2017, Journal of magnetic resonance imaging : JMRI.
[42] S. Serai,et al. Agreement between manual relaxometry and semi-automated scanner-based multi-echo Dixon technique for measuring liver T2* in a pediatric and young adult population , 2017, Pediatric Radiology.
[43] S. Lydersen,et al. Risk factors of admission for acute colonic diverticulitis in a population-based cohort study: The North Trondelag Health Study, Norway , 2016, World journal of gastroenterology.
[44] Jin‐Young Jang,et al. Pancreatic Steatosis and Fibrosis: Quantitative Assessment with Preoperative Multiparametric MR Imaging. , 2016, Radiology.
[45] I. Idilman,et al. The Feasibility of Magnetic Resonance Imaging for Quantification of Liver, Pancreas, Spleen, Vertebral Bone Marrow, and Renal Cortex R2* and Proton Density Fat Fraction in Transfusion-Related Iron Overload , 2016, Turkish journal of haematology : official journal of Turkish Society of Haematology.
[46] J. Soto,et al. Utility of texture analysis for quantifying hepatic fibrosis on proton density MRI , 2015, Journal of magnetic resonance imaging : JMRI.
[47] B. Schmidt,et al. Virtual iron concentration imaging based on dual-energy CT for noninvasive quantification and grading of liver iron content: An iron overload rabbit model study , 2015, European Radiology.
[48] C. Trautwein,et al. Hepcidin knockout mice fed with iron-rich diet develop chronic liver injury and liver fibrosis due to lysosomal iron overload. , 2014, Journal of hepatology.
[49] N. Nieto,et al. Extracellular matrix and liver disease. , 2014, Antioxidants & redox signaling.
[50] Lei Zhu,et al. Antioxidant properties of proanthocyanidins attenuate carbon tetrachloride (CCl4)-induced steatosis and liver injury in rats via CYP2E1 regulation. , 2014, Journal of medicinal food.
[51] M. Zeng,et al. Usefulness of T1 mapping on Gd-EOB-DTPA-enhanced MR imaging in assessment of non-alcoholic fatty liver disease , 2014, European Radiology.
[52] R. Idilman,et al. Hepatic steatosis: quantification by proton density fat fraction with MR imaging versus liver biopsy. , 2013, Radiology.
[53] R. Bülow,et al. Diffusion-weighted magnetic resonance imaging for staging liver fibrosis is less reliable in the presence of fat and iron , 2013, European Radiology.
[54] H. Benjamin,et al. Evaluation of liver fat in the presence of iron with MRI using T2* correction: a clinical approach , 2013, European Radiology.
[55] G. Anderson,et al. Ferroportin1 deficiency in mouse macrophages impairs iron homeostasis and inflammatory responses. , 2011, Blood.
[56] R. Nelson,et al. Liver biopsy , 2009, Hepatology.
[57] Yuan Chen,et al. Iron deposition and fat accumulation in dimethylnitrosamine-induced liver fibrosis in rat. , 2007, World journal of gastroenterology.
[58] N. Theise. Liver biopsy assessment in chronic viral hepatitis: a personal, practical approach , 2007, Modern Pathology.