PROJECT TITLE :
Association between tumor heterogeneity and overall survival in patients with non-small cell lung cancer - 2016
In this paper, a radiomics approach was proposed to determine whether the tumor heterogeneity of non-little cell lung cancer (NSCLC), that was measured by the feel on computed tomography (CT), could build an freelance prediction of overall survival. A primary dataset contained 72 patients (mean survival, 15.9 months) with pathologic diagnosis of NSCLC and a validation dataset contained 67 NSCLC (mean survival, eighteen.one months) patients which were used for prognosis trial. The experiment results indicated that the features: "energy of run-length (ERL)" (hazard ratio [HR]: 0.55, 95% confidence interval [CI]: (zero.34, 0.89), P = zero.014) and "long-run high gray level stress of run-length (LRHGLERL)" (HR: zero.50, ninety five%CI: (0.32, 0.eighty), P = zero.005) were considerably associated with overall survival in the primary dataset, and these 2 texture options conjointly create an consistent performance on the validation cohort. Our study more supported that the quantitative measurement of tumor heterogeneity can be associated with prognosis of NSCLC.
Did you like this research project?
To get this research project Guidelines, Training and Code... Click Here