Brain metastasis in stage IV lung adenocarcinoma is frequently missed by symptom-based screening
Journal article, 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

Author

Sama I. Sayin

Sahlgrenska University Hospital

University of Gothenburg

Ella A. Eklund

Sahlgrenska University Hospital

University of Gothenburg

Moa Beischer

University of Gothenburg

Torill Moe

University of Gothenburg

Kevin X. Ali

University of Gothenburg

Kerstin Gunnarsson

Sahlgrenska University Hospital

Moe Xylander

University of Gothenburg

Lars Ny

University of Gothenburg

Sahlgrenska University Hospital

Asgeir Store Jakola

University of Gothenburg

Sahlgrenska University Hospital

Ida Häggström

University of Gothenburg

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering

Clotilde Wiel

University of Gothenburg

Andreas Hallqvist

Sahlgrenska University Hospital

University of Gothenburg

Volkan I. Sayin

University of Gothenburg

Discover Oncology

27306011 (eISSN)

Vol. 17 1 95

Subject Categories (SSIF 2025)

Cancer and Oncology

Radiology and Medical Imaging

DOI

10.1007/s12672-025-04210-7

PubMed

41379235

More information

Latest update

1/30/2026