The effects of segmentation algorithms on the measurement of 18F-FDG PET texture parameters in non-small cell lung cancer

Exploration of Imaging Biomarkers for Predicting Survival of Patients With Advanced Non–Small Cell Lung Cancer Treated With Antiangiogenic Chemotherapy

(2016) Koichi Hayano et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

TU-AB-BRA-04: Quantitative Radiomics: Sensitivity of PET Textural Features to Image Acquisition and Reconstruction Parameters Implies the Need for Standards

(2015) MJ Nyflot et al.   MEDICAL PHYSICS

Predicting adenocarcinoma recurrence using computational texture models of nodule components in lung CT

(2015) Adrien Depeursinge et al.   MEDICAL PHYSICS

Non–Small Cell Lung Cancer Treated with Erlotinib: Heterogeneity of18F-FDG Uptake at PET—Association with Treatment Response and Prognosis

(2015) Gary J. R. Cook et al.   RADIOLOGY

Variability of Image Features Computed from Conventional and Respiratory-Gated PET/CT Images of Lung Cancer

(2015) Jasmine A. Oliver et al.   Translational Oncology

Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma

(2015) Olya Grove et al.   PLoS One

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

A review on segmentation of positron emission tomography images

(2014) Brent Foster et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Prognostic Value and Reproducibility of Pretreatment CT Texture Features in Stage III Non-Small Cell Lung Cancer

(2014) David V. Fried et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Survival analysis and regression models

(2014) Brandon George et al.   JOURNAL OF NUCLEAR CARDIOLOGY

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

Texture analysis of advanced non-small cell lung cancer (NSCLC) on contrast-enhanced computed tomography: prediction of the response to the first-line chemotherapy

(2013) Marco Ravanelli et al.   EUROPEAN RADIOLOGY

Prognostic PET 18F-FDG Uptake Imaging Features Are Associated with Major Oncogenomic Alterations in Patients with Resected Non-Small Cell Lung Cancer

(2012) V. S. Nair et al.   CANCER RESEARCH

Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis

(2012) Sugama Chicklore et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Reproducibility of Tumor Uptake Heterogeneity Characterization Through Textural Feature Analysis in 18F-FDG PET

(2012) F. Tixier et al.   JOURNAL OF NUCLEAR MEDICINE

Are Pretreatment 18F-FDG PET Tumor Textural Features in Non-Small Cell Lung Cancer Associated with Response and Survival After Chemoradiotherapy?

(2012) G. J. R. Cook 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

A Fuzzy Locally Adaptive Bayesian Segmentation Approach for Volume Determination in PET

(2009) M. Hatt et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING