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[Big data and their perspectives in radiation therapy].

Sébastien Guihard1, Juliette Thariat2, Jean-Baptiste Clavier1

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|December 5, 2016
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Summary

Big data in radiation therapy involves collecting and integrating diverse patient data. This requires collaboration to ensure ethical, legal, and high-quality data use without compromising patient care.

Keywords:
Big dataCancerDonnées patientMétadonnéesOncologieOncologyOntologieOntologyPatient-reported outcomeRadiotherapyRadiothérapie

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Area of Science:

  • Oncology
  • Medical Informatics
  • Radiation Therapy

Background:

  • Big data represents a significant shift in data scale and aggregation, driven by technological advancements.
  • Challenges in radiation therapy include converting routine data into usable formats ('dark data') and merging disparate datasets (e.g., dose-volume histograms and toxicity data).

Purpose of the Study:

  • To discuss the processes and challenges associated with implementing big data in radiation therapy.
  • To highlight the need for a collaborative approach and ethical framework for big data utilization in oncology.

Main Methods:

  • Conceptual discussion of big data principles and their application in radiation therapy.
  • Analysis of potential impacts on clinical workflows, doctor-patient relationships, and data quality.

Main Results:

  • The integration of big data in radiation therapy necessitates transforming 'dark data' and fusing diverse information sources.
  • Successful implementation requires careful consideration of infrastructure, legal, and ethical aspects.

Conclusions:

  • A collective effort involving clinicians, physicists, manufacturers, and authorities is crucial for creating, organizing, and exploiting big data in oncology.
  • Adopting a new data-centric culture is essential for building a robust and ethical big data infrastructure in radiotherapy.