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Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors
Published on: August 18, 2023
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Immunotherapy Assessment: A New Paradigm for Radiologists
Vincenza Granata1, Roberta Fusco2,3, Sergio Venanzio Setola1
1Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli, 80131 Naples, Italy.
Diagnostics (Basel, Switzerland)
|January 21, 2023
Summary
Immunotherapy shows promise in cancer treatment but benefits only a few patients. Radiomics analysis may help predict treatment response and identify immunotherapy-related toxic effects.
Area of Science:
- Oncology
- Radiology
- Immunology
Background:
- Immunotherapy has transformed cancer care but has limited efficacy in many patients.
- Patient response to immunotherapy is influenced by genetic factors like intra-tumor heterogeneity.
- Conventional imaging (CT, MRI) has limitations in assessing immunotherapy response and toxicity.
Purpose of the Study:
- To explore the potential of radiomics in predicting immunotherapy efficacy.
- To identify patients likely to benefit from immunotherapy.
- To predict the development of immune-related adverse events (ir-AEs).
Main Methods:
- Radiomics analysis of medical imaging.
- Correlation of radiomic features with treatment outcomes.
- Evaluation of immunotherapy response patterns and ir-AEs.
Main Results:
- Radiomics shows potential in identifying patient subgroups.
- Radiomics may help predict immunotherapy response.
- Radiomics could aid in early detection of ir-AEs.
Conclusions:
- Radiomics is a promising tool for personalizing immunotherapy.
- Further research is needed to validate radiomics for predicting immunotherapy outcomes.
- Radiomics may improve patient selection and management in immunotherapy.

