Exploration of temporal stability and prognostic power of radiomic features based on electronic portal imaging device images.
Phys Med
; 46: 32-44, 2018 Feb.
Article
en En
| MEDLINE
| ID: mdl-29519407
ABSTRACT
PURPOSE:
We aimed to explore the temporal stability of radiomic features in the presence of tumor motion and the prognostic powers of temporally stable features.METHODS:
We selected single fraction dynamic electronic portal imaging device (EPID) (nâ¯=â¯275 frames) and static digitally reconstructed radiographs (DRRs) of 11 lung cancer patients, who received stereotactic body radiation therapy (SBRT) under free breathing. Forty-seven statistical radiomic features, which consisted of 14 histogram-based features and 33 texture features derived from the graylevel co-occurrence and graylevel run-length matrices, were computed. The temporal stability was assessed by using a multiplication of the intra-class correlation coefficients (ICCs) between features derived from the EPID and DRR images at three quantization levels. The prognostic powers of the features were investigated using a different database of lung cancer patients (nâ¯=â¯221) based on a Kaplan-Meier survival analysis.RESULTS:
Fifteen radiomic features were found to be temporally stable for various quantization levels. Among these features, seven features have shown potentials for prognostic prediction in lung cancer patients.CONCLUSIONS:
This study suggests a novel approach to select temporally stable radiomic features, which could hold prognostic powers in lung cancer patients.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Tomografía Computarizada por Rayos X
/
Equipos y Suministros Eléctricos
Tipo de estudio:
Prognostic_studies
Límite:
Aged
/
Aged80
/
Female
/
Humans
/
Male
Idioma:
En
Revista:
Phys Med
Asunto de la revista:
BIOFISICA
/
BIOLOGIA
/
MEDICINA
Año:
2018
Tipo del documento:
Article
País de afiliación:
Japón