Image features for the future in stage IV non-small cell lung cancer

Evelyn (Elizabeth Catharina) de Jong

Research output: ThesisDoctoral ThesisInternal

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Abstract

The survival rate in lung cancer depends on the stage of the disease. Patients with metastasis are classified as stage IV. The 5-year survival rate among stage IV-patients is less than 10%. Prognostic and predictive models can guide to treatment choices allowing the balance between side effects, prognosis and quality of life to optimize an individual’s needs. Image features such as the activity (SUV) of a positon emission topography (PET) and the intensity (HU) of a computer tomography (CT) have the potential to improve these models. This thesis investigates the use of PET and CT image features of stage IV non-small cell lung cancer patients. Its goal is to determine the patients’ prognosis. Methodological challenges in image feature studies have been studied as well.
Original languageEnglish
Awarding Institution
  • Maastricht University
Supervisors/Advisors
  • Lambin, Philippe, Supervisor
  • Dingemans, Anne-Marie, Supervisor
  • van Elmpt, Wouter, Co-Supervisor
Award date6 Feb 2019
Place of PublicationMaastricht
Publisher
Print ISBNs9789402813470
DOIs
Publication statusPublished - 2019

Keywords

  • image properties
  • stage IV-lung cancer
  • PET/CT
  • Prognosis
  • Therapy response

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