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Heuristic value-based framework for lung cancer decision-making.

Isa Mambetsariev1, Rebecca Pharaon1, Arin Nam1

  • 1Department of Medical Oncology and Therapeutics Research, City of Hope, Duarte, CA, USA.

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|July 26, 2018
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Summary
This summary is machine-generated.

Fast-and-frugal trees offer a heuristic framework for clinical decision-making in oncology, particularly for advanced non-small cell lung cancer (NSCLC). This approach quantifies treatment choices using limited patient data.

Keywords:
fast-and-frugal treesframeworkgenomicsheuristicsnon-small cell lung cancer

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Area of Science:

  • Oncology
  • Clinical Decision-Making
  • Genomics

Background:

  • Value-based oncology requires efficient clinical decision-making frameworks.
  • Current oncology decision-making can be complex, involving patient timelines, clinical intuition, and evidence-based medicine.

Purpose of the Study:

  • To determine if clinical decision-making in oncology can be structured heuristically.
  • To evaluate the efficacy of fast-and-frugal trees in quantifying clinical decisions for advanced non-small cell lung cancer (NSCLC).

Main Methods:

  • A cohort of 20 advanced NSCLC patients underwent extensive treatment analysis.
  • Clinical and genomic data were used to apply and evaluate fast-and-frugal trees.
  • Cases were categorized into straightforward and complex decision-making pathways.

Main Results:

  • Fast-and-frugal trees were applied to quantify decision-making in a small NSCLC cohort.
  • Substitution and amplification mutations were the most frequent genomic alterations observed.
  • The top five genomic alterations included TP53, ALK, LRP1B, CDKN2A, and MYC.

Conclusions:

  • Fast-and-frugal heuristics can quantify clinical decision-making in late-stage lung cancer with limited information.
  • This methodology provides a foundation for a heuristic framework to aid oncologists in lung cancer treatment planning.
  • Further advancement of this framework will utilize registry data for evaluating larger patient populations.