CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma – a quantitative analysis

Quantitative Computed Tomography Features for Predicting Tumor Recurrence in Patients with Surgically Resected Adenocarcinoma of the Lung

(2017) Hyun Jung Koo et al.   PLoS One

FDG PET/CT texture analysis for predicting the outcome of lung cancer treated by stereotactic body radiation therapy

(2016) Pierre Lovinfosse et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

MAPS: A Quantitative Radiomics Approach for Prostate Cancer Detection

(2016) Andrew Cameron et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Long-term survival in patients with pancreatic ductal adenocarcinoma

(2016) Alexander P. Stark et al.   SURGERY

Radiomics and circulating tumor cells: personalized care in hepatocellular carcinoma?

(2015) Richard L. Hesketh et al.   Diagnostic and Interventional Radiology

Persistent Pure Ground-Glass Nodules Larger Than 5 mm

(2015) In-pyeong Hwang et al.   INVESTIGATIVE RADIOLOGY

Prognostic Value of Computed Tomography Texture Features in Non–Small Cell Lung Cancers Treated With Definitive Concomitant Chemoradiotherapy

(2015) Su Yeon Ahn et al.   INVESTIGATIVE RADIOLOGY

CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma

(2015) Thibaud P. Coroller et al.   RADIOTHERAPY AND ONCOLOGY

Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma

(2015) Yitan Zhu et al.   Scientific Reports

Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models

(2015) Farzad Khalvati et al.   BMC MEDICAL IMAGING

Radiomics and circulating tumor cells: personalized care in hepatocellular carcinoma?

(2015) Richard L. Hesketh et al.   Diagnostic and Interventional Radiology

18F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi-Cancer Site Patient Cohort

(2014) M. Hatt et al.   JOURNAL OF NUCLEAR MEDICINE

Visual Versus Quantitative Assessment of Intratumor 18F-FDG PET Uptake Heterogeneity: Prognostic Value in Non-Small Cell Lung Cancer

(2014) F. Tixier et al.   JOURNAL OF NUCLEAR MEDICINE

Computerized Texture Analysis of Persistent Part-Solid Ground-Glass Nodules: Differentiation of Preinvasive Lesions from Invasive Pulmonary Adenocarcinomas

(2014) Hee-Dong Chae et al.   RADIOLOGY

Combination of Radiological and Gray Level Co-occurrence Matrix Textural Features Used to Distinguish Solitary Pulmonary Nodules by Computed Tomography

(2013) Haifeng Wu et al.   JOURNAL OF DIGITAL IMAGING

Radiomics: Extracting more information from medical images using advanced feature analysis

(2012) Philippe Lambin et al.   EUROPEAN JOURNAL OF CANCER

Assessment of Primary Colorectal Cancer Heterogeneity by Using Whole-Tumor Texture Analysis: Contrast-enhanced CT Texture as a Biomarker of 5-year Survival

(2012) Francesca Ng et al.   RADIOLOGY

Pancreatic ductal adenocarcinoma: Long-term survival does not equal cure

(2012) Cristina R. Ferrone et al.   SURGERY

Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: a potential marker of survival

(2011) Balaji Ganeshan et al.   EUROPEAN RADIOLOGY

Diagnosis of Renal Angiomyolipoma with CT Hounsfield Unit Thresholds

(2011) Antonio C. Westphalen   RADIOLOGY

Randomized phase II study of gemcitabine plus radiotherapy versus gemcitabine, 5-fluorouracil, and cisplatin followed by radiotherapy and 5-fluorouracil for patients with locally advanced, potentially resectable pancreatic adenocarcinoma

(2010) Jerome Landry et al.   JOURNAL OF SURGICAL ONCOLOGY

Tumor heterogeneity: Causes and consequences

(2009) Andriy Marusyk et al.   BIOCHIMICA ET BIOPHYSICA ACTA-REVIEWS ON CANCER

Multilevel binomial logistic prediction model for malignant pulmonary nodules based on texture features of CT image

(2009) Huan Wang et al.   EUROPEAN JOURNAL OF RADIOLOGY