University of Twente Student Theses
Static, parametric and dynamic radiomics from FDG-PET in non-small cell lung cancer
Noortman, W.A. (2018) Static, parametric and dynamic radiomics from FDG-PET in non-small cell lung cancer.
|
PDF
2MB |
| Abstract: | GLCM features contain limited additional information compared to static radiomic features, but were not selected in PCA. Parametric features did not contain additional information over static features. Selected static GLCM features implied that SCC show more heterogeneous uptake patterns than AC. Selected features showed clearer, but insignificant, separations in survival curves compared to traditional quantitative PET measures, indicating that image data contain more information about tumour biology than meets the eye. Also, a trend of higher heterogeneity in tracer uptake was seen in patients with a bad prognosis. Cox regression analysis showed that clinical characteristics were superior to radiomic features for the prediction of survival in patients with stage IB-IIIA NSCLC treated with a resection. |
| Item Type: | Essay (Master) |
| Faculty: | TNW: Science and Technology |
| Subject: | 44 medicine |
| Programme: | Technical Medicine MSc (60033) |
| Link to this item: | https://purl.utwente.nl/essays/76951 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page