Predictive role of [18F]FDG PET-CT radiomic parameters for KRAS/BRAF/EGFR mutations in metastatic colorectal cancer patients

The results suggest that [<sup>18</sup>F] FDG PET-CT radiomic parameters, particularly the SUV max, have the potential to serve as noninvasive tools for predicting the KRAS/BRAF/EGFR mutation status in mCRC patients.

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Publication Details

Journal
EJNMMI Reports
Published
2024-12-25
DOI
https://doi.org/10.1186/s41824-024-00233-5
Citations
3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.21
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article

Predictive role of [18F]FDG PET-CT radiomic parameters for KRAS/BRAF/EGFR mutations in metastatic colorectal cancer patients

Mohamed M. El Safwany, Shaymaa E. El Feky, Magdi A. Ali, Omar Zahra et al.
3 citations
EJNMMI Reports
Radiomics and Machine Learning in Medical Imaging
1.21
article

Predictive role of [18F]FDG PET-CT radiomic parameters for KRAS/BRAF/EGFR mutations in metastatic colorectal cancer patients

Mohamed M. El Safwany, Shaymaa E. El Feky, Magdi A. Ali, Omar Zahra, Mohamed Morsi
article en
3 citations

Abstract

The results suggest that [<sup>18</sup>F] FDG PET-CT radiomic parameters, particularly the SUV max, have the potential to serve as noninvasive tools for predicting the KRAS/BRAF/EGFR mutation status in mCRC patients.

EJNMMI ReportsVol. 8(1)
Pharos University in Alexandria (EG), Gulf Medical University (AE), Alexandria University (EG)
Good health and well-being
Openalex Percentile: Top 19%
Radiomics and Machine Learning in Medical Imaging
1.21
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