{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T05:05:03Z","timestamp":1784005503168,"version":"3.55.0"},"reference-count":16,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T00:00:00Z","timestamp":1783987200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Oncol."],"abstract":"<jats:p>Predicting survival in lung cancer patients, particularly those with brain metastases, is crucial for personalizing treatment plans and estimating patient prognosis. This minireview synthesizes findings from fifteen recent studies published between 2020 and 2026, focusing on survival prediction in lung cancer patients with brain metastases, with key outcomes including overall survival, progression-free survival, and intracranial progressionfree survival. Traditional and current approaches for predicting survival are discussed, along with comparisons between unimodal and multimodal approaches. Moreover, the strengths and limitations of existing methods are critically analyzed. 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