Development and validation of a prognostic model incorporating texture analysis derived from standardised segmentation of PET in patients with oesophageal cancer

Multiscale Texture Analysis: From 18F-FDG PET Images to Histologic Images

(2016) F. Orlhac et al.   JOURNAL OF NUCLEAR MEDICINE

The Incremental Value of Subjective and Quantitative Assessment of 18F-FDG PET for the Prediction of Pathologic Complete Response to Preoperative Chemoradiotherapy in Esophageal Cancer

(2016) P. S. N. van Rossum et al.   JOURNAL OF NUCLEAR MEDICINE

ATLAAS: an automatic decision tree-based learning algorithm for advanced image segmentation in positron emission tomography

(2016) Beatrice Berthon et al.   PHYSICS IN MEDICINE AND BIOLOGY

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

Modern clinical research: How rapid learning health care and cohort multiple randomised clinical trials complement traditional evidence based medicine

(2015) Philippe Lambin et al.   ACTA ONCOLOGICA

The precision of textural analysis in 18F-FDG-PET scans of oesophageal cancer

(2015) Georgia Doumou et al.   EUROPEAN RADIOLOGY

The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis

(2015) Ralph T.H. Leijenaar et al.   Scientific Reports

Propensity score analysis of oesophageal cancer treatment with surgery or definitive chemoradiotherapy

(2014) A. Karran et al.   BRITISH JOURNAL OF SURGERY

Assessment of changes in tumor heterogeneity following neoadjuvant chemotherapy in primary esophageal cancer

(2014) C. Yip et al.   DISEASES OF THE ESOPHAGUS

Tumor Texture Analysis in 18F-FDG PET: Relationships Between Texture Parameters, Histogram Indices, Standardized Uptake Values, Metabolic Volumes, and Total Lesion Glycolysis

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

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

Robustness of intratumour 18F-FDG PET uptake heterogeneity quantification for therapy response prediction in oesophageal carcinoma

(2013) Mathieu Hatt et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Primary Esophageal Cancer: Heterogeneity as Potential Prognostic Biomarker in Patients Treated with Definitive Chemotherapy and Radiation Therapy

(2013) Connie Yip et al.   RADIOLOGY

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

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

Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker

(2012) Karel G M Moons et al.   HEART

Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing

(2012) Marco Gerlinger et al.   NEW ENGLAND JOURNAL OF MEDICINE

Tumour heterogeneity in oesophageal cancer assessed by CT texture analysis: Preliminary evidence of an association with tumour metabolism, stage, and survival

(2011) B. Ganeshan et al.   CLINICAL RADIOLOGY

Intratumor Heterogeneity Characterized by Textural Features on Baseline 18F-FDG PET Images Predicts Response to Concomitant Radiochemotherapy in Esophageal Cancer

(2011) F. Tixier et al.   JOURNAL OF NUCLEAR MEDICINE

Variability of textural features in FDG PET images due to different acquisition modes and reconstruction parameters

(2010) Paulina E. Galavis et al.   ACTA ONCOLOGICA

Assessing Tumor Response to Therapy

(2009) W. A. Weber   JOURNAL OF NUCLEAR MEDICINE