Temporal Dynamics and Heterogeneity in Brain Metastases: A Single-Center Retrospective Analysis of Vulnerabilities in

Claudia Tocilă-Mătășel1,2, Sorin Marian Dudea1, Gheorghe Iana2

  • 1Department of Radiology, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.

PubMed

Insights

Routine MRI reports often fail to track brain metastases over time, especially with complex or multi-wave disease. This fragmentation hinders accurate disease evolution assessment, suggesting a need for improved lesion continuity in follow-up.

Area of Science:

  • Neuro-oncology
  • Radiology
  • Medical Imaging Analysis

Background:

  • Brain metastases commonly exhibit multi-wave evolution in patients with prolonged survival.
  • Current clinical practice often fragments lesion-level continuity due to pairwise MRI comparisons.

Purpose of the Study:

  • To evaluate the capability of standard narrative MRI follow-up reports in maintaining longitudinal lesion identity.
  • To assess the reconstruction of coherent disease evolution trajectories from routine reports.

Main Methods:

  • Retrospective observational study of 731 brain MRI examinations (73 patients) with at least three scans.
  • A single neuroradiologist performed longitudinal lesion tracking and compared report concordance against a reference standard.
  • Lesion identity preservation was assessed based on explicit linkage across time points in reports.

Main Results:

  • Over half of monitored lesions were omitted or became post-treatment sequelae in reports.
  • Report concordance decreased with increasing disease complexity: 60% for uniform evolution vs. 18.2% for mixed evolution.
  • Lesion identity preservation declined significantly with sequential metastatic waves (65.2% for 1 wave to 18.2% for 3 waves).

Conclusions:

  • Routine MRI reports are adequate for simple, uniform brain metastasis cases but lose critical details in complex, heterogeneous, or multi-wave disease.
  • Current documentation provides fragmented snapshots rather than an integrated longitudinal perspective of disease progression.
  • Enhanced lesion-level continuity, potentially via AI tools, is needed to improve MRI surveillance accuracy and clinical utility for brain metastases.

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