{"total":1,"items":[{"citing_arxiv_id":"2509.06396","ref_index":1,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery","primary_cat":"cs.CV","submitted_at":"2025-09-08T07:29:45+00:00","verdict":"CONDITIONAL","verdict_confidence":"MODERATE","novelty_score":5.0,"formal_verification":"none","one_line_summary":"Brain metastasis trajectories cluster into five patterns, and one-year complete response can be predicted with 0.90 AUC once the 60-day follow-up scan is included.","context_count":1,"top_context_role":"background","top_context_polarity":"background","context_text":"with the project number 205320_219430. Disclosure of Interests.No author has any conflict of interests to report. Bibliography [1] Achrol, A.S., Rennert, R.C., Anders, C., Soffietti, R., Ahluwalia, M.S., Nayak, L., Peters, S., Arvold, N.D., Harsh, G.R., Steeg, P.S., Chang, S.D.: Brain metastases. Nature Reviews Disease Primers5(1), 5 (Jan 2019). https://doi.org/10.1038/s41572-018-0055-y [2] Andrearczyk, V., Schiappacasse, L., Abler, D., Wodzinski, M., Hottinger, A., Raccaud, M., Bourhis, J., Prior, J.O., Dunet, V., Depeurnge, A.: Auto- matic detection and multi-component segmentation of brain metastases in longitudinal mri. Scientific reports14(1), 31603 (2024) [3] Andrearczyk, V., Schiappacasse, L., Raccaud, M., Bourhis, J., Prior, J."}],"limit":50,"offset":0}