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Routine brain MRI in suspected lung cancer: clinical justification and diagnostic yield

  • Camilla Hviid*
  • , Christian B Laursen
  • , Pia Iben Pietersen
  • , Anne Lerberg Nielsen
  • , Lotte Holm Land
  • , Anja Gouliaev
  • , Arman Arshad
  • , Uffe Bodtger
  • , Amanda Dandanell Jull
  • *Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

Abstract

BACKGROUND: Lung cancer is the leading cause of cancer-related death worldwide. Brain metastases are common and associated with poor prognosis. While MRI is highly sensitive for detecting brain metastases, the clinical value of routinely adding up-front MRI to PET/CT during initial staging remains debated. This study focuses on suspected lung cancer patients, integrating workflow data (MRI waiting time, MDT availability) to evaluate up-front brain MRI and its impact on clinical decision-making.

METHODS: This retrospective cohort study included 183 patients with suspected lung cancer referred for up-front brain MRI at Odense University Hospital between March-August 2021. All patients underwent pre-diagnostic PET/CT, and brain MRI was performed in cases with suspected stage II-IV disease (TNM 8th edition).

RESULTS: Brain metastases were detected by MRI in 21/183 patients (11.5%), predominantly from primary lung cancer (n = 19, 90.4%). Among patients with confirmed lung cancer (n = 134), the prevalence was 14.2% (19/134), corresponding to a number needed to scan (NNS) of 7.1; across the full cohort, the NNS was 8.7. MRI led to upstaging to stage IV disease in 3/134 lung cancer patients (2.2%), resulting in a NNS of 44.7. PET/CT had a positive predictive value of 57.1% and a negative predictive value of 90.3%, indicating limited reliability detecting brain metastases.

CONCLUSION: Routine up-front brain MRI identified brain metastases in a small but clinically relevant subset of patients, primarily those with signs of dissemination on initial PET/CT. A risk-stratified approach targeting high-risk groups may reduce MRI use without compromising detection, improving staging efficiency and resource allocation.

Original languageEnglish
Article number101083
Number of pages7
JournalCancer Treatment and Research Communications
Volume46
Early online date26 Dec 2025
DOIs
Publication statusPublished - 2026

Keywords

  • Brain metastases
  • Lung cancer
  • Mri
  • Non-small cell lung cancer
  • Small cell lung cancer
  • Staging
  • Brain Neoplasms/secondary
  • Lung Neoplasms/pathology
  • Humans
  • Middle Aged
  • Male
  • Magnetic Resonance Imaging/methods
  • Positron Emission Tomography Computed Tomography
  • Brain/diagnostic imaging
  • Aged, 80 and over
  • Female
  • Adult
  • Retrospective Studies
  • Aged
  • Neoplasm Staging

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