Concepedia
PLoS ONE · 2015 · 123 citations · 23 references
Open access
TI computed using an AR method vary as a function of the tissue type and cancer subtype more than the TI involving the usual RR method. AR-based TI might be useful for tumor characterization.
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Intratumor Heterogeneity Characterized by Textural Features on Baseline <sup>18</sup>F-FDG PET Images Predicts Response to Concomitant Radiochemotherapy in Esophageal Cancer
Florent Tixier, Catherine Cheze Le Rest, Mathieu Hatt et al. · Journal of Nuclear Medicine · 2011 · 676 citations · Full text
Comparison of different methods for delineation of 18F-FDG PET-positive tissue for target volume definition in radiotherapy of patients with non-Small cell lung cancer.
Ursula Nestle, Stephanie Kremp, Andrea Schaefer-Schuler et al. · PubMed · 2005 · 615 citations
Exploring feature-based approaches in PET images for predicting cancer treatment outcomes
Issam El Naqa, Perry W. Grigsby, Aditya Apte et al. · Pattern Recognition · 2008 · 467 citations · Full text
Radiation Oncology, Image Analysis, Engineering +15
A Japanese Lung Cancer Registry Study: Prognosis of 13,010 Resected Lung Cancers
Hisao Asamura, Tomoyuki Goya, Yoshihiko Koshiishi et al. · Journal of Thoracic Oncology · 2008 · 421 citations · Full text
Surgical Oncology, Cancer Epidemiology, Advanced Lung Disease +10
Stability of FDG-PET Radiomics features: An integrated analysis of test-retest and inter-observer variability
Ralph T. H. Leijenaar, Sara Carvalho, Emmanuel Rios Velazquez et al. · Acta Oncologica · 2013 · 413 citations · Full text