Clustering of multi-parametric functional imaging to identify high-risk subvolumes in non-small cell lung cancer

Autor: Bart Reymen, Aniek J.G. Even, Wouter van Elmpt, Marco Das, Matthew D. La Fontaine, José Belderbos, Dirk De Ruysscher, Felix M. Mottaghy, Philippe Lambin
Přispěvatelé: Radiotherapie, RS: GROW - R3 - Innovative Cancer Diagnostics & Therapy, Beeldvorming, RS: NUTRIM - R1 - Obesity, diabetes and cardiovascular health, RS: NUTRIM - R1 - Metabolic Syndrome
Rok vydání: 2017
Předmět:
Male
Lung Neoplasms
medicine.medical_treatment
TUMOR HETEROGENEITY
HYPOXIA
NSCLC
030218 nuclear medicine & medical imaging
0302 clinical medicine
NECK-CANCER
Carcinoma
Non-Small-Cell Lung
Positron Emission Tomography Computed Tomography
PERFUSION
Cluster Analysis
Hematology
Middle Aged
Prognosis
Cell Hypoxia
Oncology
030220 oncology & carcinogenesis
SURVIVAL
Biomarker (medicine)
Female
Non small cell
Radiology
Functional imaging
RADIOTHERAPY
Adult
medicine.medical_specialty
SUBREGIONS
03 medical and health sciences
Fluorodeoxyglucose F18
medicine
Carcinoma
Humans
DOSE-ESCALATION
Radiology
Nuclear Medicine and imaging
Cluster analysis
Lung cancer
Aged
Multi parametric
business.industry
Biomarker
medicine.disease
FDG PET/CT
DCE-CT
Radiation therapy
PET
INTRATUMOR HETEROGENEITY
business
Nuclear medicine
Zdroj: Radiotherapy and oncology 125(3), 379-384 (2017). doi:10.1016/j.radonc.2017.09.041
Radiotherapy and Oncology, 125(3), 379-384. Elsevier Ireland Ltd
ISSN: 0167-8140
Popis: Radiotherapy and oncology 125(3), 379-384 (2017). doi:10.1016/j.radonc.2017.09.041
Published by Elsevier Science, Amsterdam [u.a.]
Databáze: OpenAIRE
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