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Author Spotlight: Standardizing Mouse In Vivo PET Imaging with Body Conforming Molds and Automated Analysis
Published on: October 25, 2024
PET-CT radiomics for immunotherapy response
Alessia Artesani1, Michela Olivieri2, Priscilla Guglielmo3
1Department of Biomedical Sciences, Humanitas University, via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Milan, Italy; Nuclear Medicine Unit, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089 Rozzano, Milan, Italy.
PET radiomics shows promise for predicting immunotherapy response in cancer patients, particularly lung cancer and lymphoma. This approach aids in understanding the tumor immune microenvironment and guiding treatment decisions.
Area of Science:
- Oncology
- Radiology
- Medical Imaging
Background:
- Positron Emission Tomography (PET) radiomics is an emerging field.
- Predicting response to immunotherapy is crucial for cancer treatment.
- Current literature synthesis on PET radiomics for immunotherapy response prediction is needed.
Purpose of the Study:
- To synthesize current literature on PET radiomics for predicting immunotherapy response in cancer.
- To discuss challenges in data analysis for PET radiomics.
- To propose directions for clinical integration of PET radiomics.
Main Methods:
- Systematic review of published papers.
- Selection criteria included publication date (last 5 years) and patient cohort size (>100).
- Focus on studies using PET/CT for radiomics and immunotherapy.
Main Results:
- 24 papers were selected for review.
- 75% of studies focused on lung cancer, showing radiomics can predict PD-L1 expression and immunotherapy response.
- Radiomics also shows potential in lymphoma (CAR-T therapy), colon-rectal, and endometrial cancers, though evidence is limited.
Conclusions:
- PET radiomics has significant potential in characterizing the tumor immune microenvironment.
- Radiomics can predict immunotherapy response, especially in lung cancer and lymphoma.
- Further research is needed to overcome data analysis challenges and facilitate clinical integration.
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