Functional imaging of the liver.

Anatomical-based imaging is used widely for the evaluation of diffuse and focal liver, including detection, characterization, and therapy response assessment. However, a limitation of anatomical-based imaging is that structural changes may occur relatively late in a disease process. By applying conventional anatomical-imaging methods in a more functional manner, specific pathophysiologic alterations of the liver may be assessed and quantified. There has been an increasing interest in both the clinical and research settings, with the expectation that functional-imaging techniques may help solve common diagnostic dilemmas that conventional imaging alone cannot. This review considers the most common functional magnetic resonance imaging, computed tomography, and ultrasound imaging techniques that may be applied to the liver.

[1]  Jürgen Hennig,et al.  Phase I clinical and pharmacokinetic study of PTK/ZK, a multiple VEGF receptor inhibitor, in patients with liver metastases from solid tumours. , 2005, European journal of cancer.

[2]  J. van der Grond,et al.  31P magnetic resonance spectroscopy of the liver: Correlation with standardized serum, clinical, and histological changes in diffuse liver disease , 1995, Hepatology.

[3]  S. Grundy,et al.  Magnetic resonance spectroscopy to measure hepatic triglyceride content: prevalence of hepatic steatosis in the general population. , 2005, American journal of physiology. Endocrinology and metabolism.

[4]  P. Robinson,et al.  Hepatic perfusion index and the evolution of liver metastases. , 1987, Nuclear medicine communications.

[5]  P. Tofts Modeling tracer kinetics in dynamic Gd‐DTPA MR imaging , 1997, Journal of magnetic resonance imaging : JMRI.

[6]  Y. Kuo,et al.  In vivo proton magnetic resonance spectroscopy of large focal hepatic lesions and metabolite change of hepatocellular carcinoma before and after transcatheter arterial chemoembolization using 3.0‐T MR scanner , 2004, Journal of magnetic resonance imaging : JMRI.

[7]  L. Boussel,et al.  Impact of diffusion-weighted MR imaging on the characterization of small hepatocellular carcinoma in the cirrhotic liver. , 2012, Magnetic resonance imaging.

[8]  Noriyuki Moriyama,et al.  Staging hepatic fibrosis: comparison of gadoxetate disodium-enhanced and diffusion-weighted MR imaging--preliminary observations. , 2011, Radiology.

[9]  C. Tiribelli,et al.  Proton MR spectroscopy in quantitative in vivo determination of fat content in human liver steatosis , 1995, Journal of magnetic resonance imaging : JMRI.

[10]  A. Manduca,et al.  Assessment of hepatic fibrosis with magnetic resonance elastography. , 2007, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

[11]  Y. Ohno,et al.  Perfusion measurement of the whole upper abdomen of patients with and without liver diseases: initial experience with 320-detector row CT. , 2012, European journal of radiology.

[12]  R. Ehman,et al.  MR elastography of liver tumors: preliminary results. , 2008, AJR. American journal of roentgenology.

[13]  Ting-Yim Lee,et al.  Correlation of early dynamic CT perfusion imaging with whole-brain MR diffusion and perfusion imaging in acute hemispheric stroke. , 2003, AJNR. American journal of neuroradiology.

[14]  Takeo Ishigaki,et al.  Diffusion‐weighted images of the liver: Comparison of tumor detection before and after contrast enhancement with superparamagnetic iron oxide , 2005, Journal of magnetic resonance imaging : JMRI.

[15]  D. Collins,et al.  Measurement reproducibility of perfusion fraction and pseudodiffusion coefficient derived by intravoxel incoherent motion diffusion-weighted MR imaging in normal liver and metastases , 2013, European Radiology.

[16]  F. Fazio,et al.  Perfusion Computed Tomographic Assessment of Early Hepatocellular Carcinoma in Cirrhotic Liver Disease: Initial Observations , 2008, Journal of computer assisted tomography.

[17]  K. Miles,et al.  Colorectal cancer: diagnostic potential of CT measurements of hepatic perfusion and implications for contrast enhancement protocols. , 1997, Radiology.

[18]  C. Charnsangavej,et al.  Functional CT quantification of tumor perfusion after transhepatic arterial embolization in a rat model. , 2005, Radiology.

[19]  A. Vaccarino,et al.  Estimation of hepatic arterial and portal venous blood flow by direct catheterization of the vena porta through the umbilical cord in man. Preliminary results. , 1968, Acta hepato-splenologica.

[20]  Michael J Paldino,et al.  Fundamentals of quantitative dynamic contrast-enhanced MR imaging. , 2009, Magnetic resonance imaging clinics of North America.

[21]  Stephanie R Wilson,et al.  Contrast-enhanced ultrasound: what is the evidence and what are the obstacles? , 2009, AJR. American journal of roentgenology.

[22]  D L Buckley,et al.  Enhancing fraction measured using dynamic contrast-enhanced MRI predicts disease-free survival in patients with carcinoma of the cervix , 2009, British Journal of Cancer.

[23]  O. Matsui,et al.  Hepatocelluar nodules in liver cirrhosis: hemodynamic evaluation (angiography-assisted CT) with special reference to multi-step hepatocarcinogenesis , 2011, Abdominal Imaging.

[24]  U. Motosugi,et al.  MRI‐based staging of hepatic fibrosis: Comparison of intravoxel incoherent motion diffusion‐weighted imaging with magnetic resonance elastography , 2015, Journal of magnetic resonance imaging : JMRI.

[25]  Eun Sun Lee,et al.  MR elastography for noninvasive assessment of hepatic fibrosis: Reproducibility of the examination and reproducibility and repeatability of the liver stiffness value measurement , 2014, Journal of magnetic resonance imaging : JMRI.

[26]  M. Reiser,et al.  Combined quantification of liver perfusion and function with dynamic gadoxetic acid-enhanced MR imaging. , 2012, Radiology.

[27]  Zhongwei Qiao,et al.  Liver fibrosis: An intravoxel incoherent motion (IVIM) study , 2012, Journal of magnetic resonance imaging : JMRI.

[28]  Panagiotis Samaras,et al.  Quantitative Perfusion Analysis of Malignant Liver Tumors: Dynamic Computed Tomography and Contrast-Enhanced Ultrasound , 2012, Investigative radiology.

[29]  N. Holalkere,et al.  Early antiangiogenic activity of bevacizumab evaluated by computed tomography perfusion scan in patients with advanced hepatocellular carcinoma. , 2008, The oncologist.

[30]  R. Constable,et al.  Induced hepatic fibrosis in rats: hepatic steatosis, macromolecule content, perfusion parameters, and their correlations--preliminary MR imaging in rats. , 2008, Radiology.

[31]  Ting-Yim Lee,et al.  Hepatic perfusion in a tumor model using DCE-CT: an accuracy and precision study , 2008, Physics in medicine and biology.

[32]  Isamu Ohashi,et al.  Apparent diffusion coefficient measurements with diffusion‐weighted magnetic resonance imaging for evaluation of hepatic fibrosis , 2005, Journal of magnetic resonance imaging : JMRI.

[33]  A. Padhani,et al.  Multiparametric imaging of tumor response to therapy. , 2010, Radiology.

[34]  B. Taouli,et al.  Diffusion-weighted MR imaging of the liver. , 2010, Radiology.

[35]  N. Holalkere,et al.  Advanced hepatocellular carcinoma: CT perfusion of liver and tumor tissue--initial experience. , 2007, Radiology.

[36]  H. Rusinek,et al.  Advanced liver fibrosis: diagnosis with 3D whole-liver perfusion MR imaging--initial experience. , 2008, Radiology.

[37]  M. Lupsor,et al.  Performance of Acoustic Radiation Force Impulse imaging for the staging of liver fibrosis: a pooled meta‐analysis , 2012, Journal of viral hepatitis.

[38]  M. Prokop CT and MR to assess the response of liver tumors to hepatic perfusion. , 1998, Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer.

[39]  Hatem Alkadhi,et al.  Quantification of Liver Fat in the Presence of Iron and Iodine: An Ex-Vivo Dual-Energy CT Study , 2011, Investigative radiology.

[40]  M. Lindstrom,et al.  Effects of postprandial state and mesenteric blood flow on the repeatability of MR elastography in asymptomatic subjects , 2011, Journal of magnetic resonance imaging : JMRI.

[41]  F. Pilleul,et al.  Perfusion characterization of liver metastases from endocrine tumors: Computed tomography perfusion. , 2010, World journal of radiology.

[42]  B. V. Van Beers,et al.  Liver fibrosis: non‐invasive assessment with MR elastography , 2006, NMR in biomedicine.

[43]  J L Evelhoch,et al.  Key factors in the acquisition of contrast kinetic data for oncology , 1999, Journal of magnetic resonance imaging : JMRI.

[44]  C. Thng,et al.  Dynamic contrast-enhanced CT imaging of hepatocellular carcinoma in cirrhosis: feasibility of a prolonged dual-phase imaging protocol with tracer kinetics modeling , 2009, European Radiology.

[45]  Peter N. Burns,et al.  Dynamic microbubble contrast-enhanced US to measure tumor response to targeted therapy: a proposed clinical protocol with results from renal cell carcinoma patients receiving antiangiogenic therapy. , 2011, Radiology.

[46]  D. Collins,et al.  Combining diffusion-weighted MRI with Gd-EOB-DTPA-enhanced MRI improves the detection of colorectal liver metastases. , 2012, The British journal of radiology.

[47]  B. Choi,et al.  Evaluation of Hepatic Fibrosis Using Intravoxel Incoherent Motion in Diffusion-Weighted Liver MRI , 2014, Journal of computer assisted tomography.

[48]  D. Menon,et al.  In vivo hepatic 31P magnetic resonance spectroscopy in chronic alcohol abusers. , 1995, Gastroenterology.

[49]  E. Scurr,et al.  Detection of colorectal hepatic metastases using MnDPDP MR imaging and diffusion-weighted imaging (DWI) alone and in combination , 2008, European Radiology.

[50]  M. Cova,et al.  Blood Flow Changes in Hepatocellular Carcinoma After the Administration of Thalidomide Assessed by Reperfusion Kinetics During Microbubble Infusion: Preliminary Results , 2006, Investigative radiology.

[51]  Ralph Sinkus,et al.  Liver fibrosis: noninvasive assessment with MR elastography versus aspartate aminotransferase-to-platelet ratio index. , 2007, Radiology.

[52]  G. Gerken,et al.  Assessment of Allograft Fibrosis by Transient Elastography and Noninvasive Biomarker Scoring Systems in Liver Transplant Patients , 2010, Transplantation.

[53]  A. Padhani,et al.  Functional magnetic resonance imaging of the liver: parametric assessments beyond morphology. , 2010, Magnetic resonance imaging clinics of North America.

[55]  A K Dixon,et al.  Functional images of hepatic perfusion obtained with dynamic CT. , 1993, Radiology.

[56]  Celia P. Corona-Villalobos,et al.  MRI arterial enhancement fraction in hepatic fibrosis and cirrhosis. , 2013, AJR. American journal of roentgenology.

[57]  Aya Kamaya,et al.  CT perfusion of the liver: principles and applications in oncology. , 2014, Radiology.

[58]  D. Radice,et al.  Perfusion Computed Tomography in Patients With Hepatocellular Carcinoma Treated With Thalidomide: Initial Experience , 2011, Journal of computer assisted tomography.

[59]  S. Taylor-Robinson,et al.  Liver microbubble transit time compared with histology and Child-Pugh score in diffuse liver disease: a cross sectional study , 2003, Gut.

[60]  L. Shen,et al.  Apparent diffusion coefficient: potential imaging biomarker for prediction and early detection of response to chemotherapy in hepatic metastases. , 2008, Radiology.

[61]  Linda Chami,et al.  Advanced hepatocellular carcinoma: early evaluation of response to bevacizumab therapy at dynamic contrast-enhanced US with quantification--preliminary results. , 2011, Radiology.

[62]  W W Lautt,et al.  Mechanism and role of intrinsic regulation of hepatic arterial blood flow: hepatic arterial buffer response. , 1985, The American journal of physiology.

[63]  Robert Lucht,et al.  Tracer kinetic analysis of signal time series from dynamic contrast-enhanced MR imaging , 2006, Biomedizinische Technik. Biomedical engineering.

[64]  O. Matsui,et al.  Changes of intratumoral microvessels and blood perfusion during establishment of hepatic metastases in mice. , 2007, Radiology.

[65]  I. Kamel,et al.  An Elevated Arterial Enhancement Fraction Is Associated With Clinical and Imaging Indices of Liver Fibrosis and Cirrhosis , 2012, Journal of computer assisted tomography.

[66]  A. Padhani Dynamic contrast‐enhanced MRI in clinical oncology: Current status and future directions , 2002, Journal of magnetic resonance imaging : JMRI.

[67]  H. Dvorak,et al.  Vascular permeability factor/vascular endothelial growth factor, microvascular hyperpermeability, and angiogenesis. , 1995, The American journal of pathology.

[68]  H. Wittsack,et al.  1H-MR spectroscopy, magnetization transfer, and diffusion-weighted imaging in alcoholic and nonalcoholic patients with cirrhosis with hepatic encephalopathy. , 2006, AJNR. American journal of neuroradiology.

[69]  X. Forns,et al.  MR elastography to assess liver fibrosis. , 2008, Radiology.

[70]  C. Ganter,et al.  Characterization of focal liver lesions by ADC measurements using a respiratory triggered diffusion-weighted single-shot echo-planar MR imaging technique , 2008, European Radiology.

[71]  Won Jae Lee,et al.  Small hepatocellular carcinomas: improved sensitivity by combining gadoxetic acid-enhanced and diffusion-weighted MR imaging patterns. , 2012, Radiology.

[72]  Y. Tsushima,et al.  Does the Presence of Distant and Local Malignancy Alter Parenchymal Perfusion in Apparently Disease-Free Areas of the Liver? , 2001, Digestive Diseases and Sciences.

[73]  J. Hennig,et al.  DCE-MRI assessment of the effect of vandetanib on tumor vasculature in patients with advanced colorectal cancer and liver metastases: a randomized phase I study , 2009, Journal of angiogenesis research.

[74]  S. Pagnotta,et al.  Comparison between CT and MR in perfusion imaging assessment of high-grade gliomas , 2013, La radiologia medica.

[75]  Y. Tsushima,et al.  The Portal Component of Hepatic Perfusion Measured by Dynamic CT (An Indicator of Hepatic Parenchymal Damage) , 1999, Digestive Diseases and Sciences.

[76]  Emilio Quaia,et al.  Assessment of tissue perfusion by contrast-enhanced ultrasound , 2011, European Radiology.

[77]  J. Stoker,et al.  Improved focal liver lesion detection: comparison of single-shot diffusion-weighted echoplanar and single-shot T2 weighted turbo spin echo techniques. , 2007, The British journal of radiology.

[78]  L. Axel Cerebral blood flow determination by rapid-sequence computed tomography: theoretical analysis. , 1980, Radiology.

[79]  Gerald Antoch,et al.  Dual-energy-CT of hypervascular liver lesions in patients with HCC: investigation of image quality and sensitivity , 2011, European Radiology.

[80]  C. Thng,et al.  Perfusion imaging in liver MRI. , 2014, Magnetic resonance imaging clinics of North America.

[81]  H. Alkadhi,et al.  Liver perfusion imaging in patients with primary and metastatic liver malignancy: prospective comparison between 99mTc-MAA spect and dynamic CT perfusion. , 2012, Academic radiology.

[82]  B. Seifert,et al.  Diffusion-weighted MR imaging of upper abdominal organs: field strength and intervendor variability of apparent diffusion coefficients. , 2014, Radiology.

[83]  H. Rusinek,et al.  Perfusion imaging of the liver: current challenges and future goals. , 2005, Radiology.

[84]  M O Leach,et al.  Parametric mapping of the hepatic perfusion index with gadolinium-enhanced volumetric MRI. , 2007, The British journal of radiology.

[85]  Jeong Min Lee,et al.  Feasibility and accuracy of dual-source dual-energy CT for noninvasive determination of hepatic iron accumulation. , 2012, Radiology.

[86]  Keiko Miyazaki,et al.  Neuroendocrine tumor liver metastases: use of dynamic contrast-enhanced MR imaging to monitor and predict radiolabeled octreotide therapy response. , 2012, Radiology.

[87]  S. Sironi,et al.  Quantitative assessment of tumour associated neovascularisation in patients with liver cirrhosis and hepatocellular carcinoma: role of dynamic-CT perfusion imaging , 2012, European Radiology.

[88]  D. Collins,et al.  Intravoxel incoherent motion in body diffusion-weighted MRI: reality and challenges. , 2011, AJR. American journal of roentgenology.

[89]  D. Collins,et al.  Diffusion-weighted MRI in the body: applications and challenges in oncology. , 2007, AJR. American journal of roentgenology.

[90]  R Materne,et al.  Hepatic perfusion parameters in chronic liver disease: dynamic CT measurements correlated with disease severity. , 2001, AJR. American journal of roentgenology.

[91]  Bachir Taouli,et al.  Diffusion-weighted MRI for quantification of liver fibrosis: preliminary experience. , 2007, AJR. American journal of roentgenology.

[92]  J. Cercueil,et al.  Intravoxel incoherent motion diffusion-weighted imaging in nonalcoholic fatty liver disease: a 3.0-T MR study. , 2012, Radiology.

[93]  C. Van de Wiele,et al.  Value of DCE-MRI and FDG-PET/CT in the prediction of response to preoperative chemotherapy with bevacizumab for colorectal liver metastases , 2012, British Journal of Cancer.

[94]  D. Hemingway,et al.  Prospective assessment of the hepatic perfusion index in patients with colorectal cancer , 1998, The British journal of surgery.

[95]  R. Jeffrey,et al.  Antiangiogenic and Radiation Therapy: Early Effects on In Vivo Computed Tomography Perfusion Parameters in Human Colon Cancer Xenografts in Mice , 2012, Investigative radiology.

[96]  Xiao-Ming Zhang,et al.  Computed Tomographic Perfusion Imaging for the Therapeutic Response of Chemoembolization for Hepatocellular Carcinoma , 2012, Journal of computer assisted tomography.

[97]  H. Huisman,et al.  Imaging vascular function for early stage clinical trials using dynamic contrast-enhanced magnetic resonance imaging , 2012, European Radiology.

[98]  L. Schwartz,et al.  Regional chemotherapy for unresectable primary liver cancer: results of a phase II clinical trial and assessment of DCE-MRI as a biomarker of survival. , 2009, Annals of oncology : official journal of the European Society for Medical Oncology.

[99]  A. Gamst,et al.  Associations between histologic features of nonalcoholic fatty liver disease (NAFLD) and quantitative diffusion‐weighted MRI measurements in adults , 2015, Journal of magnetic resonance imaging : JMRI.

[100]  Marek Ancukiewicz,et al.  Magnetic resonance imaging biomarkers in hepatocellular carcinoma: association with response and circulating biomarkers after sunitinib therapy , 2013, Journal of Hematology & Oncology.

[101]  Tao Jiang,et al.  Monitoring Response to Antiangiogenic Treatment and Predicting Outcomes in Advanced Hepatocellular Carcinoma Using Image Biomarkers, CT Perfusion, Tumor Density, and Tumor Size (RECIST) , 2012, Investigative radiology.

[102]  Ke-min Chen,et al.  Feasibility of diagnosing and staging liver fibrosis with diffusion weighted imaging. , 2008, Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih.

[103]  Jean-Luc Daire,et al.  Evaluation of liver diffusion isotropy and characterization of focal hepatic lesions with two single-shot echo-planar MR imaging sequences: prospective study in 66 patients. , 2003, Radiology.

[104]  Alastair J. Martin,et al.  Chronic hepatitis: Role of diffusion‐weighted imaging and diffusion tensor imaging for the diagnosis of liver fibrosis and inflammation , 2008, Journal of magnetic resonance imaging : JMRI.

[105]  David Atkinson,et al.  Optimizing functional parameter accuracy for breath-hold DCE-MRI of liver tumours , 2009, Physics in medicine and biology.

[106]  R. O'Gorman,et al.  Comparison of the hepatic perfusion index measured with gadolinium-enhanced volumetric MRI in controls and in patients with colorectal cancer. , 2005, The British journal of radiology.

[107]  M. Mack,et al.  Tracer kinetics analysis of dynamic contrast‐enhanced CT and MR data in patients with squamous cell carcinoma of the upper aerodigestive tract: comparison of the results , 2009, Clinical physiology and functional imaging.

[108]  R Sinnatamby,et al.  In vivo assessment of neovascularization of liver metastases using perfusion CT. , 1998, The British journal of radiology.

[109]  G. Frija,et al.  Early modifications of hepatic perfusion measured by functional CT in a rat model of hepatocellular carcinoma using a blood pool contrast agent , 2004, European Radiology.

[110]  F Frouin,et al.  Early changes in liver perfusion caused by occult metastases in rats: detection with quantitative CT. , 2001, Radiology.

[111]  Sabrina Fox‐Bosetti,et al.  Test–retest repeatability of MR elastography for noninvasive liver fibrosis assessment in hepatitis C , 2011, Journal of magnetic resonance imaging : JMRI.

[112]  U. Tateishi,et al.  Pharmacokinetic parameters from 3‐Tesla DCE‐MRI as surrogate biomarkers of antitumor effects of bevacizumab plus FOLFIRI in colorectal cancer with liver metastasis , 2012, International journal of cancer.

[113]  Y. Takeda,et al.  Assessment of the severity of liver disease and fibrotic change: the usefulness of hepatic CT perfusion imaging. , 2006, Oncology reports.

[114]  M. Oudkerk,et al.  Clinical Implications of Non-Steatotic Hepatic Fat Fractions on Quantitative Diffusion-Weighted Imaging of the Liver , 2014, PloS one.

[115]  F. Fazio,et al.  Hepatocellular carcinoma treated with transarterial chemoembolization: dynamic perfusion-CT in the assessment of residual tumor. , 2010, World journal of gastroenterology.

[116]  P. Burns,et al.  The lognormal perfusion model for disruption replenishment measurements of blood flow: in vivo validation. , 2011, Ultrasound in medicine & biology.

[117]  C. Tiribelli,et al.  Evaluation of liver parenchymal blood flow with contrast-enhanced US: preliminary results in healthy and cirrhotic patients. , 2003, Academic radiology.

[118]  S. Koscielny,et al.  Metastatic Renal Cell Carcinoma Treated with Sunitinib: Early Evaluation of Treatment Response Using Dynamic Contrast-Enhanced Ultrasonography , 2010, Clinical Cancer Research.

[119]  Jin-ping Li,et al.  Assessment of tumor vascularization with functional computed tomography perfusion imaging in patients with cirrhotic liver disease. , 2011, Hepatobiliary & pancreatic diseases international : HBPD INT.

[120]  G. Baron,et al.  Liver fibrosis in chronic hepatitis C virus infection: differentiating minimal from intermediate fibrosis with perfusion CT. , 2010, Radiology.

[121]  B. V. Van Beers,et al.  Assessment of diffusion‐weighted MR imaging in liver fibrosis , 2007, Journal of magnetic resonance imaging : JMRI.

[122]  S. Sourbron Technical aspects of MR perfusion. , 2010, European journal of radiology.

[123]  Marco Salvatore,et al.  Sonographic hepatic-renal ratio as indicator of hepatic steatosis: comparison with (1)H magnetic resonance spectroscopy. , 2009, Metabolism: clinical and experimental.

[124]  C. Thng,et al.  Fundamentals of tracer kinetics for dynamic contrast‐enhanced MRI , 2011, Journal of magnetic resonance imaging : JMRI.

[125]  S. Kumano,et al.  Estimation of Liver Function Using T1 Mapping on Gd-EOB-DTPA-Enhanced Magnetic Resonance Imaging , 2011, Investigative radiology.

[126]  M Takahashi,et al.  Focal liver masses: characterization with diffusion-weighted echo-planar MR imaging. , 1997, Radiology.

[127]  Xiao-Ming Yin,et al.  Assessment of the hepatic microvascular changes in liver cirrhosis by perfusion computed tomography. , 2009, World journal of gastroenterology.

[128]  F. Ridolfi,et al.  Contrast-enhanced ultrasound to evaluate the severity of chronic hepatitis C. , 2007, Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver.

[129]  Ralph Sinkus,et al.  Hepatic viscoelastic parameters measured with MR elastography: Correlations with quantitative analysis of liver fibrosis in the rat , 2007, Journal of magnetic resonance imaging : JMRI.

[130]  R. Loffroy,et al.  Magnetic resonance imaging and spectroscopy for quantification of hepatic steatosis: urgent need for standardization! , 2009, Journal of hepatology.

[131]  F. Fazio,et al.  Perfusion CT in cirrhotic patients with early stage hepatocellular carcinoma: assessment of tumor-related vascularization. , 2010, European journal of radiology.

[132]  Thomas Henzler,et al.  Contrast-Enhanced Dual-Energy CT of Gastrointestinal Stromal Tumors: Is Iodine-Related Attenuation a Potential Indicator of Tumor Response? , 2012, Investigative radiology.

[133]  H. Alkadhi,et al.  Quantification of liver iron content with CT—added value of dual-energy , 2011, European Radiology.

[134]  T. Ichikawa,et al.  Diffusion-weighted MR imaging with a single-shot echoplanar sequence: detection and characterization of focal hepatic lesions. , 1998, AJR. American journal of roentgenology.

[135]  K. Kichikawa,et al.  Early Detection of Therapeutic Response to Hepatic Arterial Infusion Chemotherapy of Liver Metastases from Colorectal Cancer Using Diffusion-Weighted MR Imaging , 2009, CardioVascular and Interventional Radiology.

[136]  A Heerschap,et al.  Prediction of chemotherapeutic response of colorectal liver metastases with dynamic gadolinium‐DTPA‐enhanced MRI and localized 19F MRS pharmacokinetic studies of 5‐fluorouracil , 2007, NMR in biomedicine.

[137]  B. Bolster,et al.  MRI-guided biopsy to correlate tissue specimens with MR elastography stiffness readings in liver transplants. , 2012, Academic radiology.

[138]  Hyung Jin Won,et al.  Assessment of Hepatic Function with Gd-EOB-DTPA-Enhanced Hepatic MRI , 2012, Digestive Diseases.

[139]  C. V. van Kuijk,et al.  Perfusion CT and US of colorectal cancer liver metastases: a correlative study of two dynamic imaging modalities. , 2010, Ultrasound in medicine & biology.

[140]  David L Buckley,et al.  Uncertainty in the analysis of tracer kinetics using dynamic contrast‐enhanced T1‐weighted MRI , 2002, Magnetic resonance in medicine.

[141]  C. Zuiani,et al.  Diffusion-weighted MRI in evaluating liver fibrosis: a feasibility study in cirrhotic patients , 2007, La radiologia medica.

[142]  B. V. Van Beers,et al.  Assessment of hepatic perfusion parameters with dynamic MRI , 2002, Magnetic resonance in medicine.

[143]  C. Zuiani,et al.  Relevance of b‐values in evaluating liver fibrosis: A study in healthy and cirrhotic subjects using two single‐shot spin‐echo echo‐planar diffusion‐weighted sequences , 2008, Journal of magnetic resonance imaging : JMRI.

[144]  D. Collins,et al.  Predicting response of colorectal hepatic metastasis: value of pretreatment apparent diffusion coefficients. , 2007, AJR. American journal of roentgenology.

[145]  R. Ehman,et al.  Early detection of nonalcoholic steatohepatitis in patients with nonalcoholic fatty liver disease by using MR elastography. , 2011, Radiology.

[146]  Ralph Sinkus,et al.  MR elastography of liver fibrosis: preliminary results comparing spin-echo and echo-planar imaging , 2008, European Radiology.

[147]  Wen He,et al.  Computed tomography perfusion in evaluating the therapeutic effect of transarterial chemoembolization for hepatocellular carcinoma. , 2008, World journal of gastroenterology.

[148]  C. Muhle,et al.  The total entropy for evaluating 31P-magnetic resonance spectra of the liver in healthy volunteers and patients with metastases. , 1997, Investigative radiology.

[149]  Stephanie R. Wilson,et al.  New Noninvasive Ultrasound Techniques: Can They Predict Liver Cirrhosis? , 2012, Ultrasound quarterly.

[150]  D. Collins,et al.  Quantitative mapping of hepatic perfusion index using MR imaging: a potential reproducible tool for assessing tumour response to treatment with the antiangiogenic compound BIBF 1120, a potent triple angiokinase inhibitor , 2008, European Radiology.

[151]  Wei Wei,et al.  Perfusion CT findings in patients with metastatic carcinoid tumors undergoing bevacizumab and interferon therapy. , 2011, AJR. American journal of roentgenology.

[152]  B. V. Van Beers,et al.  Non-invasive quantification of liver perfusion with dynamic computed tomography and a dual-input one-compartmental model. , 2000, Clinical science.

[153]  E. Hecht,et al.  Focal liver lesion detection and characterization with diffusion-weighted MR imaging: comparison with standard breath-hold T2-weighted imaging. , 2008, Radiology.

[154]  Christian Stroszczynski,et al.  Assessment of Clinical Signs of Liver Cirrhosis Using T1 Mapping on Gd-EOB-DTPA-Enhanced 3T MRI , 2013, PloS one.

[155]  P. Burns,et al.  Liver mass evaluation with ultrasound: the impact of microbubble contrast agents and pulse inversion imaging. , 2001, Seminars in liver disease.

[156]  H. Rusinek,et al.  Diagnosis of cirrhosis with intravoxel incoherent motion diffusion MRI and dynamic contrast‐enhanced MRI alone and in combination: Preliminary experience , 2010, Journal of magnetic resonance imaging : JMRI.

[157]  Chiun Hsu,et al.  Dynamic contrast-enhanced magnetic resonance imaging biomarkers predict survival and response in hepatocellular carcinoma patients treated with sorafenib and metronomic tegafur/uracil. , 2011, Journal of hepatology.

[158]  Thomas E Yankeelov,et al.  Dynamic Contrast Enhanced Magnetic Resonance Imaging in Oncology: Theory, Data Acquisition, Analysis, and Examples. , 2007, Current medical imaging reviews.

[159]  M. Yin,et al.  Cross-vendor validation of liver magnetic resonance elastography , 2015, Abdominal Imaging.

[160]  B. V. Van Beers,et al.  Hepatic flow parameters measured with MR imaging and Doppler US: correlations with degree of cirrhosis and portal hypertension. , 2003, Radiology.

[161]  T-Y Lee,et al.  CT imaging of angiogenesis. , 2003, The quarterly journal of nuclear medicine : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology.

[162]  C. Claussen,et al.  Volume perfusion-CT of the liver: insights and applications. , 2012, European journal of radiology.

[163]  H. Rusinek,et al.  Dynamic contrast-enhanced MR imaging of the liver: current status and future directions. , 2009, Magnetic resonance imaging clinics of North America.

[164]  M. P. Hayball,et al.  Current status and guidelines for the assessment of tumour vascular support with dynamic contrast-enhanced computed tomography , 2012, European Radiology.

[165]  A. Padhani,et al.  Diffusion MR imaging for monitoring of treatment response. , 2011, Magnetic resonance imaging clinics of North America.