Individualised prediction of HER2 status in colorectal cancer: development and validation of a radiomics prediction model using <sup>18</sup>F-fluorodeoxyglucose positron emission tomography/magnetic resonance (<sup>18</sup>F-FDG PET/MR)
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The authors aimed to develop and validate a radiomics prediction model using preoperative ^18F-FDG PET/MR imaging to accurately identify HER2 status in colorectal cancer (CRC) patients. By analyzing radiomic features from PET and MR images of 98 patients, they found that a logistic regression model combining multiple imaging features achieved high performance in predicting HER2 status. This study suggests that PET/MR-based radiomics can serve as a noninvasive and interpretable method for preoperative HER2 assessment in CRC.
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