Predictive modeling for survival-related outcomes in lung cancer patients with brain metastases: a mini-review - Takeaways - MDSpire

Predictive modeling for survival-related outcomes in lung cancer patients with brain metastases: a mini-review

  • By

  • Sifat Jahan Shorna

  • Sreya Majumder

  • Diya Rahman

  • Fariha Jahan

  • Sheak Rashed Haider Noori

  • Liew Tze Hui

  • Dip Nandi

  • Mashiour Rahman

  • July 14, 2026

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  • 1

    Brain metastases occur in approximately 30-40% of lung cancer patients, complicating prognosis and treatment planning.

  • 2

    Traditional survival prediction in lung cancer patients with brain metastases relies on clinical scoring systems like the Graded Prognostic Assessment.

  • 3

    Recent studies have introduced machine learning and deep learning methods to enhance survival prediction by integrating clinical and radiologic data.

  • 4

    Lung-molGPA is noted for providing better survival predictions by incorporating molecular biomarkers compared to traditional scoring systems.

  • 5

    Data-driven approaches, including radiomics and machine learning models, show promise in improving survival prediction for lung cancer patients with brain metastases.

Original Source(s)

Predictive modeling for survival-related outcomes in lung cancer patients with brain metastases: a mini-review

  • by Sifat Jahan Shorna, Sreya Majumder, Diya Rahman, Fariha Jahan, Sheak Rashed Haider Noori, Liew Tze Hui, Dip Nandi, Mashiour Rahman

  • July 14, 2026

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