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A. Ghaytidak



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    Epidemiology and outcomes (ID 57)

    • Event: ELCC 2018
    • Type: Poster Discussion session
    • Track:
    • Presentations: 1
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      72PD - MR imaging radiomics of NSCLC brain metastases: A potential targetable imaging biomarker for EGFR status (ID 319)

      14:45 - 15:45  |  Author(s): A. Ghaytidak

      • Abstract
      • Slides

      Background:
      Brain is a common site of metastases with EGFR mutated lung cancer. Oral targeted therapies have broadened the treatment options in the advanced setting with the potential for periods of long term response. Literature on MR imaging metrics or feature analysis of NSCLC brain metastasis as a biomarker for predicting EGFR mutation is limited and less investigated. The purpose of the study was to study MRI imaging biomarkers of brain metastases NSCLC and their correlation with molecular subtyping (EFGR status). To correlate these imaging features with response to therapy and clinical outcomes.

      Methods:
      We analyzed clinical data on 75 patients who were tested for EGFR mutation and underwent brain MR imaging at diagnosis. Multiparametric MRI was performed in all cases. The associations between EGFR mutation status and clinical features, specifically age, sex, smoking, TNM stage, and imaging variables, as well as brain metastasis, were analyzed using logistic regression analysis. Clinical factors known to be associated with EGFR mutation status in NSCLC patients and staging factors of TNM were included in the logistic regression multivariate analysis.

      Results:
      38 EGFR positive and 37 EGFR negative cases. EGFR positive showed early and wide spread development of brain metastasis (within 6 months after 1st presentation) (p-0.00). Statistically significant difference (p-0.00) was observed in border/margins on T2W imaging, fuzzy and infiltrative borders in EGFR positive while well defined in EGFR negative. Lesions in EGFR wild group showed focal restriction on DW images (p-0.001). In EGFR wild cases showed good response to WBRT (p < 0.00). Incidence of recurrent metastatic disease, meningeal involvement was significantly higher in EGFR positive (p-0.00, 0.04). On multivariate analysis, statistically significant association was found between T2 border, number, restricted diffusion, meningeal positivity and TTP (p < 0.05).

      Conclusions:
      EGFR positive brain metastases have characteristic MR imaging features that can be potential non-invasive diagnostic, predictive and prognostic imaging biomarkers. These MR based Radiogenomic imaging biomarkers have potential role in personalized therapy of EGFR positive brain metastasis in NSCLC.

      Clinical trial identification:


      Legal entity responsible for the study:
      IEC TMH

      Funding:
      Has not received any funding

      Disclosure:
      All authors have declared no conflicts of interest.

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