Brain metastasis in stage IV lung adenocarcinoma is frequently missed by symptom-based screening
Artikel i vetenskaplig tidskrift, 2026

Background: Brain metastases (BM) are a major clinical challenge in metastatic lung adenocarcinoma (LUAD), affecting up to 50% of patients during disease progression. Current guidelines do not mandate brain imaging for all metastatic lung cancer patients at diagnosis unless there are neurological symptoms present. However, real-world data on the predictive value of neurological symptoms for BM detection remain scarce. Methods: This retrospective multicenter study analyzed all consecutive patients diagnosed with stage IV LUAD with molecular assessment in western Sweden from 2016 to 2021 (n = 912). We extracted data from patient charts, imaging referrals, radiology reports and the Swedish National Lung Cancer Registry to determine diagnostic brain imaging (DBI) frequency and modality, presence of neurological symptoms, BM detection rates, size, number, location and overall survival (OS). Results: Among stage IV LUAD patients, 63% underwent DBI, and BM was detected in 23% of all patients (37% of those receiving DBI). Neurological symptoms prompted DBI in 63% of cases, yet 58% of these symptomatic patients had no BM on imaging. Conversely, 28% of asymptomatic patients who underwent DBI had BM. Patients with BM detected in the absence of neurological symptoms had smaller metastases. Neurological symptoms were associated with worse OS, irrespective of the presence of BM. Conclusion: Neurological symptoms alone do not reliably predict the presence of brain metastases in stage IV LUAD. In this real-world cohort, symptom-triggered imaging was associated with under-detection of asymptomatic BM. Our findings support the need to re-evaluate current symptom-based screening practices and may inform future efforts toward more standardized brain imaging strategies in metastatic NSCLC.

Diagnostic brain imaging

Lung adenocarcinoma

Neurological symptoms

Screening

Brain metastasis

Real-world data

Författare

Sama I. Sayin

Sahlgrenska universitetssjukhuset

Göteborgs universitet

Ella A. Eklund

Sahlgrenska universitetssjukhuset

Göteborgs universitet

Moa Beischer

Göteborgs universitet

Torill Moe

Göteborgs universitet

Kevin X. Ali

Göteborgs universitet

Kerstin Gunnarsson

Sahlgrenska universitetssjukhuset

Moe Xylander

Göteborgs universitet

Lars Ny

Göteborgs universitet

Sahlgrenska universitetssjukhuset

Asgeir Store Jakola

Göteborgs universitet

Sahlgrenska universitetssjukhuset

Ida Häggström

Göteborgs universitet

Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik

Clotilde Wiel

Göteborgs universitet

Andreas Hallqvist

Sahlgrenska universitetssjukhuset

Göteborgs universitet

Volkan I. Sayin

Göteborgs universitet

Discover Oncology

27306011 (eISSN)

Vol. 17 1 95

Ämneskategorier (SSIF 2025)

Cancer och onkologi

Radiologi och bildbehandling

DOI

10.1007/s12672-025-04210-7

PubMed

41379235

Mer information

Senast uppdaterat

2026-01-30