Although patients with stage III non-small cell lung cancer (NSCLC) are homogeneous according to the TNM staging system, they form a heterogeneous group, which is reflected in the survival outcome. The increasing amount of information for an individual patient and the growing number of treatment options facilitate personalized treatment, but they also complicate treatment decision making. Decision support systems (DSS), which provide individualized prognostic information, can overcome this but are currently lacking. A DSS for stage III NSCLC requires the development and integration of multiple models. The current study takes the first step in this process by developing and validating a model that can provide physicians with a survival proba...
Prognostic models have been proposed to predict survival for non-small-cell lung cancer (NSCLC). It ...
textabstractBackground: Decision Support Systems, based on statistical prediction models, have the p...
Background Patients with non-small cell lung cancer (NSCLC) who develop brain metastases (BM) have a...
PurposeAlthough patients with stage III non-small cell lung cancer (NSCLC) are homogeneous according...
PURPOSE: Although patients with stage III non-small cell lung cancer (NSCLC) are homogeneous accordi...
Purpose: Although patients with stage III non-small cell lung cancer (NSCLC) are homogeneous accordi...
Purpose: Tools for survival prediction for non-small cell lung cancer (NSCLC) patients treated with ...
Importance: Nomogram prognostic models can facilitate cancer patient treatment plans and patient enr...
IntroductionAccurate prognosis assessment after non–small-cell lung cancer (NSCLC) diagnosis is an e...
Objective Surgery is the first choice of treatment for localised non small cell lung cancer (NSCLC) ...
We sought to develop and validate a clinical nomogram model for predicting overall survival (OS) in ...
Abstract Background The current TNM staging system is far from perfect in predicting the survival of...
Background: A clinical decision support system (CDSS) has been designed to predict the outcome (over...
The 1997 International staging system (ISS) classification separated stage III non-small cell lung c...
Prognostic models have been proposed to predict survival for non-small-cell lung cancer (NSCLC). It ...
textabstractBackground: Decision Support Systems, based on statistical prediction models, have the p...
Background Patients with non-small cell lung cancer (NSCLC) who develop brain metastases (BM) have a...
PurposeAlthough patients with stage III non-small cell lung cancer (NSCLC) are homogeneous according...
PURPOSE: Although patients with stage III non-small cell lung cancer (NSCLC) are homogeneous accordi...
Purpose: Although patients with stage III non-small cell lung cancer (NSCLC) are homogeneous accordi...
Purpose: Tools for survival prediction for non-small cell lung cancer (NSCLC) patients treated with ...
Importance: Nomogram prognostic models can facilitate cancer patient treatment plans and patient enr...
IntroductionAccurate prognosis assessment after non–small-cell lung cancer (NSCLC) diagnosis is an e...
Objective Surgery is the first choice of treatment for localised non small cell lung cancer (NSCLC) ...
We sought to develop and validate a clinical nomogram model for predicting overall survival (OS) in ...
Abstract Background The current TNM staging system is far from perfect in predicting the survival of...
Background: A clinical decision support system (CDSS) has been designed to predict the outcome (over...
The 1997 International staging system (ISS) classification separated stage III non-small cell lung c...
Prognostic models have been proposed to predict survival for non-small-cell lung cancer (NSCLC). It ...
textabstractBackground: Decision Support Systems, based on statistical prediction models, have the p...
Background Patients with non-small cell lung cancer (NSCLC) who develop brain metastases (BM) have a...