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Personalized medicine relies on advanced imaging. Positron emission tomography-computed tomography (PET-CT) offers molecular insights for tailored cancer treatment and prognosis, enhancing clinical decision-making.

Keywords:
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Area of Science:

  • Oncology
  • Molecular Imaging
  • Personalized Medicine

Background:

  • Clinical practice is shifting towards personalized management models for various disorders.
  • Positron emission tomography-computed tomography (PET-CT) is crucial for assessing tumors and nonmalignant conditions.
  • PET-CT enables exploration of individual disease phenotypes, aiding personalized medicine decisions.

Purpose of the Study:

  • To systematically explore and define the role of PET-CT in personalized clinical practice for malignancies.
  • To highlight the advantages of PET-based disease management in oncology.
  • To emphasize the integration of molecular imaging with structural imaging for individualized treatment.

Main Methods:

  • Utilizing traditional PET-CT applications for disease staging, restaging, and treatment response evaluation.
  • Exploring tumor biology with FDG and novel non-FDG PET tracers (e.g., 68Ga-DOTA-TOC/NOC/TATE, 68Ga-PSMA, 18F-fluorocholine, 18F-fluoroestradiol).
  • Integrating molecular imaging data with structural imaging for treatment planning, intervention precision, and prognosis.

Main Results:

  • PET-CT facilitates adaptive treatment decisions by assessing disease extent and response.
  • Novel PET tracers enable stratification for targeted therapies in various cancers (NET, prostate, breast).
  • Multitracer PET imaging supports individualized disease management and selection of targeted treatments.

Conclusions:

  • PET-CT is essential for personalized medicine in oncology, offering insights into disease phenotype and biology.
  • Advanced PET tracers and multimodality imaging integration are key to stratifying patients and selecting targeted therapies.
  • PET-CT enhances clinical decision-making, treatment planning, and prognosis forecasting in personalized cancer care.