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Related Concept Videos

Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

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Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
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Imaging Biomarkers in Radiotherapy.

Dandan Zheng1, Issam El Naqa2, X Sharon Qi3

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Summary
This summary is machine-generated.

Advanced medical imaging and AI are revolutionizing radiotherapy (RT). Imaging biomarkers refine treatment planning, response assessment, and enable personalized, adaptive RT strategies for better patient outcomes.

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biomarkerimagingradiomicsradiotherapy

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Area of Science:

  • Radiotherapy research
  • Medical imaging
  • Biomarker development

Background:

  • Medical imaging modalities like MRI, PET, and CT have evolved beyond anatomical guidance.
  • Innovations include radiomics, artificial intelligence (AI), adaptive radiotherapy, and theranostics.
  • These advancements enable biologically informed treatment planning and response assessment.

Purpose of the Study:

  • To provide a comprehensive overview of imaging biomarkers in radiotherapy (RT).
  • To synthesize clinical evidence on their application across disease sites.
  • To examine challenges and propose a roadmap for clinical translation.

Main Methods:

  • Review of technical foundations of imaging biomarkers in RT.
  • Synthesis of functional and molecular imaging techniques.
  • Analysis of data-driven analytic approaches and AI.

Main Results:

  • Imaging biomarkers refine target delineation and guide dose painting.
  • They predict and monitor treatment response for adaptive RT.
  • Clinical evidence supports their role in personalized RT strategies.

Conclusions:

  • Imaging biomarkers are central to advancing biologically adaptive and precision radiotherapy.
  • Key challenges include standardization, validation, AI interpretability, and ethical considerations.
  • A multi-stage roadmap is proposed for responsible and equitable clinical integration.