Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma Using Quantitative Image Analysis.
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Amber L. Simpson | W. Chapman | M. Gonen | W. Jarnagin | R. DeMatteo | Jayasree Chakraborty | R. Do | Jian Zheng | S. Gerst | L. Pak
[1] J. Samra,et al. A pre-operative clinical model to predict microvascular invasion and long-term outcome after resection of hepatocellular cancer: The Australian experience. , 2016, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.
[2] W. Chapman,et al. Liver Resection and Transplantation for Patients With Hepatocellular Carcinoma Beyond Milan Criteria , 2016, Annals of surgery.
[3] S. Hussain,et al. A Review and Update of Treatment Options and Controversies in the Management of Hepatocellular Carcinoma , 2016, Annals of surgery.
[4] Stefano Brocchi,et al. Can Current Preoperative Imaging Be Used to Detect Microvascular Invasion of Hepatocellular Carcinoma? , 2016, Radiology.
[5] Kui Wang,et al. Nomogram for Preoperative Estimation of Microvascular Invasion Risk in Hepatitis B Virus-Related Hepatocellular Carcinoma Within the Milan Criteria. , 2016, JAMA surgery.
[6] Jayasree Chakraborty,et al. Texture analysis for survival prediction of pancreatic ductal adenocarcinoma patients with neoadjuvant chemotherapy , 2016, SPIE Medical Imaging.
[7] Kazuhisa Uchiyama,et al. Risk factors and patterns of early recurrence after curative hepatectomy for hepatocellular carcinoma. , 2016, Surgical oncology.
[8] C. Liang,et al. Computed tomography texture analysis to facilitate therapeutic decision making in hepatocellular carcinoma , 2016, Oncotarget.
[9] A. Rutman,et al. A Computed Tomography Radiogenomic Biomarker Predicts Microvascular Invasion and Clinical Outcomes in Hepatocellular Carcinoma , 2015, Hepatology.
[10] Goran Klintmalm,et al. Surgical treatment of hepatocellular carcinoma in North America: can hepatic resection still be justified? , 2015, Journal of the American College of Surgeons.
[11] Eun Sun Lee,et al. Prediction of microvascular invasion of hepatocellular carcinoma using gadoxetic acid-enhanced MR and 18F-FDG PET/CT , 2015, Abdominal Imaging.
[12] Yong Eun Chung,et al. Single Hepatocellular Carcinoma: Preoperative MR Imaging to Predict Early Recurrence after Curative Resection. , 2015, Radiology.
[13] Yuman Fong,et al. Texture analysis of preoperative CT images for prediction of postoperative hepatic insufficiency: a preliminary study. , 2015, Journal of the American College of Surgeons.
[14] A. Jemal,et al. Global cancer statistics, 2012 , 2015, CA: a cancer journal for clinicians.
[15] Elliot K Fishman,et al. Preliminary Data Using Computed Tomography Texture Analysis for the Classification of Hypervascular Liver Lesions: Generation of a Predictive Model on the Basis of Quantitative Spatial Frequency Measurements—A Work in Progress , 2015, Journal of computer assisted tomography.
[16] C. Sakakura,et al. Optimal duration of the early and late recurrence of hepatocellular carcinoma after hepatectomy. , 2015, World journal of gastroenterology.
[17] W. Niessen,et al. Quantification of Heterogeneity as a Biomarker in Tumor Imaging: A Systematic Review , 2014, PloS one.
[18] C. Chou,et al. Prediction of microvascular invasion of hepatocellular carcinoma: preoperative CT and histopathologic correlation. , 2014, AJR. American journal of roentgenology.
[19] P. Lambin,et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach , 2014, Nature Communications.
[20] M. Sata,et al. The Significance of Classifying Microvascular Invasion in Patients with Hepatocellular Carcinoma , 2014, Annals of Surgical Oncology.
[21] Matthew S Davenport,et al. Repeatability of diagnostic features and scoring systems for hepatocellular carcinoma by using MR imaging. , 2014, Radiology.
[22] Sudipta Mukhopadhyay,et al. Automatic characterization of masses in mammograms , 2013, 2013 6th International Conference on Biomedical Engineering and Informatics.
[23] N. Yang,et al. Preoperative predictors of microvascular invasion in multinodular hepatocellular carcinoma. , 2013, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.
[24] Bal Sanghera,et al. Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? , 2012, Insights into Imaging.
[25] Rangaraj M. Rangayyan,et al. Statistical measures of orientation of texture for the detection of architectural distortion in prior mammograms of interval-cancer , 2012, J. Electronic Imaging.
[26] Stef van Buuren,et al. Flexible Imputation of Missing Data , 2012 .
[27] Rangaraj M. Rangayyan,et al. Detection of architectural distortion in prior mammograms using statistical measures of orientation of texture , 2012, Medical Imaging.
[28] L. Mariani,et al. Milan criteria in liver transplantation for hepatocellular carcinoma: An evidence‐based analysis of 15 years of experience , 2011, Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society.
[29] A. Kwon,et al. Predictors of microvascular invasion before hepatectomy for hepatocellular carcinoma , 2010, Journal of surgical oncology.
[30] R. Eferl,et al. Hepatic tumor–stroma crosstalk guides epithelial to mesenchymal transition at the tumor edge , 2009, Oncogene.
[31] M. Sata,et al. Microvascular Invasion in Patients with Hepatocellular Carcinoma and Its Predictable Clinicopathological Factors , 2008, Annals of Surgical Oncology.
[32] S. Curley,et al. Selection for Resection of Hepatocellular Carcinoma and Surgical Strategy: Indications for Resection, Evaluation of Liver Function, Portal Vein Embolization, and Resection , 2008, Annals of Surgical Oncology.
[33] J. Roberts,et al. Liver Transplantation for Hepatocellular Carcinoma: Validation of the UCSF‐Expanded Criteria Based on Preoperative Imaging , 2007, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.
[34] Howard Y. Chang,et al. Decoding global gene expression programs in liver cancer by noninvasive imaging , 2007, Nature Biotechnology.
[35] Michael A. Choti,et al. Preoperative Assessment of Hepatocellular Carcinoma Tumor Grade Using Needle Biopsy: Implications for Transplant Eligibility , 2007, Annals of surgery.
[36] Wu-Chung Shen,et al. Diagnosis of hepatic tumors with texture analysis in nonenhanced computed tomography images. , 2006, Academic radiology.
[37] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[38] L. Ellis,et al. Predictors of microvascular invasion in patients with hepatocellular carcinoma who are candidates for orthotopic liver transplantation , 2002, Journal of Gastrointestinal Surgery.
[39] M. Özmen,et al. Microvascular invasion in hepatocellular carcinoma. , 2016, Diagnostic and interventional radiology.
[40] A. Burroughs,et al. A Systematic Review of Microvascular Invasion in Hepatocellular Carcinoma: Diagnostic and Prognostic Variability , 2012, Annals of Surgical Oncology.
[41] ndrea,et al. Liver transplantation for the treatment of small hepatocellular carcinomas in patients with cirrhosis. , 1996, The New England journal of medicine.
[42] A. Jemal,et al. Global cancer statistics , 2011, CA: a cancer journal for clinicians.
[43] D. Woodfield. Hepatocellular carcinoma. , 1986, The New Zealand medical journal.