P2.01-052 Does Radiomics Improves the Survival Prediction in Non-Small Cell Lung Cancer?
نویسندگان
چکیده
منابع مشابه
Radiomics-based Prognosis Analysis for Non-Small Cell Lung Cancer
Radiomics characterizes tumor phenotypes by extracting large numbers of quantitative features from radiological images. Radiomic features have been shown to provide prognostic value in predicting clinical outcomes in several studies. However, several challenges including feature redundancy, unbalanced data, and small sample sizes have led to relatively low predictive accuracy. In this study, we...
متن کاملSurvival prediction of non-small cell lung cancer patients using radiomics analyses of cone-beam CT images.
BACKGROUND AND PURPOSE In this study we investigated the interchangeability of planning CT and cone-beam CT (CBCT) extracted radiomic features. Furthermore, a previously described CT based prognostic radiomic signature for non-small cell lung cancer (NSCLC) patients using CBCT based features was validated. MATERIAL AND METHODS One training dataset of 132 and two validation datasets of 62 and ...
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Abstract Background: Lung cancer is one of the most common cancers around the world. The aim of this study was to use Extended Cox Model (ECM) with Bayesian approach to survey the behavior of potential time-varying prognostic factors of Non-small cell lung cancer. Materials and Methods: Survival status of all 190 patients diagnosed with Non-Small Cell lung cancer referring to hospitals in ...
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Background: Small cell lung cancer (SCLC) is a highly aggressive tumor. Objective: To evaluate the survival and time to progression of patients with SCLC admitted to a chest disease center in Istanbul, Turkey. Methods: Based on the reports of a pulmonary oncology clinic, data regarding performance status (PS), clinical stage of disease, treatment, time to progression and survival of 67 patients...
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OBJECTIVE To compare 2D and 3D radiomics features prognostic performance differences in CT images of non-small cell lung cancer (NSCLC). METHOD We enrolled 588 NSCLC patients from three independent cohorts. Two sets of 463 patients from two different institutes were used as the training cohort. The remaining cohort with 125 patients was set as the validation cohort. A total of 1014 radiomics ...
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ژورنال
عنوان ژورنال: Journal of Thoracic Oncology
سال: 2017
ISSN: 1556-0864
DOI: 10.1016/j.jtho.2017.09.1154