Radiomics-based prediction of local control in patients with brain metastases following postoperative stereotactic radiotherapy.
Josef A BuchnerFlorian KoflerMichael MayingerSebastian M ChristThomas B BrunnerAndrea WittigBjoern MenzeClaus ZimmerBernhard MeyerMatthias GuckenbergerNicolaus H AndratschkeRami A El ShafieJürgen DebusSusanne RogersOliver RiestererKatrin SchulzeHorst J FeldmannOliver BlanckConstantinos ZamboglouKonstantinos FerentinosAngelika Bilger-ZähringerAnca L GrosuRobert WolffMarie PiraudKerstin A EitzStephanie E CombsDenise BernhardtDaniel RuckertBenedikt WiestlerJan C PeekenPublished in: Neuro-oncology (2024)
A combination of clinical and radiomic features predicted freedom from LF better than any clinical feature set alone. Patients at high risk for LF may benefit from stricter follow-up routines or intensified therapy.
Keyphrases
- brain metastases
- small cell lung cancer
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- squamous cell carcinoma
- deep learning
- magnetic resonance imaging
- mesenchymal stem cells
- radiation induced
- magnetic resonance
- bone marrow
- cell therapy
- replacement therapy
- smoking cessation