Data from: Survival prediction of non-small cell lung cancer patients using radiomics analyses of cone-beam CT images

Janita van Timmeren; Ralph T.H. Leijenaar; Wouter van Elmpt; Bart Reymen; Cary Oberije; René Monshouwer; Johan Bussink; Carsten Brink; Olfred Hansen; Philippe Lambin; Janita van Timmeren; Ralph T.H. Leijenaar; Wouter van Elmpt; Bart Reymen; Cary Oberije; René Monshouwer; Johan Bussink; Carsten Brink; Olfred Hansen; Philippe Lambin

Prediction

Error message

Warning: Undefined array key "body" in altmetric_node_view_alter() (line 55 of /data/www/cancerdata/sites/all/modules/altmetric/altmetric.module).
Warning: Undefined array key "#markup" in altmetric_node_view_alter() (line 55 of /data/www/cancerdata/sites/all/modules/altmetric/altmetric.module).

Prognostic value of metabolic metrics extracted from baseline positron emission tomography images in non-small cell lung cancer

Carvalho S, Leijenaar RT, Velazquez ER, Oberije C, Parmar C, van Elmpt W, Reymen B, Troost EG, Oellers M, Dekker A, Gillies R, Aerts HJ, Lambin P

Download the images using these instructions and this DOI:10.3109/0284186X.2013.812795

BACKGROUND:

Maximum, mean and peak SUV of primary tumor at baseline FDG-PET scans, have often been found predictive for overall survival in non-small cell lung cancer (NSCLC) patients. In this study we further investigated the prognostic power of advanced metabolic metrics derived from intensity volume histograms (IVH) extracted from PET imaging.

Read more about Prognostic value of metabolic metrics extracted from baseline positron emission tomography images in non-small cell lung cancer