124P Assessing the prognostic value of clinical and radiomics features in synchronous oligometastatic NSCLC
Background:The Eastern Cooperative Oncology Group (ECOG) classification has been used to describe the performance status of cancer patients since the 1980s.The ECOG score is used, for example, to assess whether a patient could benefit from active cancer treatment.The physician's ECOG assessment is based on a short appointment and random questions, and it has significant situational variability.In this research, we studied a smartphone application that was designed to collect step data, quality of life, and symptom information to improve the reliability of the ECOG assessment.
Authors
- Juliette Degens (ORCID: https://orcid.org/0000-0003-0279-9656)
- Michelle Steens
- Cordula Pitz
- Mandy Jongbloed (ORCID: https://orcid.org/0000-0003-4686-9169)
- Murillo Bellezzo (ORCID: https://orcid.org/0000-0001-5273-0003)
- Valentina Bartolomeo (ORCID: https://orcid.org/0009-0007-1493-7282)
- Jarno W J Huijs (ORCID: https://orcid.org/0000-0001-9117-6885)
- D. De Ruysscher
- M. Youssef-El-Soud
- B. van den Borne
- L. Wee
- L. Hendriks
- S. Dursun
- H. Gietema
Institutions
- Radboud University Nijmegen (NL)
- Catharina Ziekenhuis (NL)
- Maastricht University (NL)
- VieCuri Medisch Centrum (NL)
- Máxima Medisch Centrum (NL)
- Zuyderland Medisch Centrum (NL)
- Laurentius Ziekenhuis (NL)
- Fondazione IRCCS Istituto Nazionale dei Tumori (IT)
- Maastro Clinic (NL)
Publication Details
- Journal
- ESMO Open
- Published
- 2026-03-17
- DOI
- https://doi.org/10.1016/j.esmoop.2026.106431
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00