The aim of this study was to investigate the prognostic value of radiomics signatures derived from18F‐fluorodeoxyglucose (18F‐FDG) positron‐emission tomography (PET) in patients with colorectal cancer (CRC). From April 2008 to Jan 2014, we identified CRC patients who underwent18F‐FDG‐PET before starting any neoadjuvant treatments and surgery. Radiomics features were extracted from the primary lesions identified on18F‐FDG‐PET. Patients were divided into a training and validation set by random sampling. A least absolute shrinkage and selection operator Cox regression model was applied for prognostic signature building with progression‐free survival (PFS) using the training set. Using the calculated radiomics score, a nomogram was developed, and its clinical utility was assessed in the validation set. A total of 381 patients with surgically resected CRC patients (training set: 228 vs. validation set: 153) were included. In the training set, a radiomics signature labeled as a rad_score was generated using two PET‐derived features, such as gray‐level run length matrix long‐run emphasis (GLRLM_LRE) and gray‐level zone length matrix short‐zone low‐gray‐level emphasis (GLZLM_SZLGE). Patients with a high rad_score in the training and validation set had a shorter PFS. Multivariable analysis revealed that the rad_score was an independent prognostic factor in both training and validation sets. A radiomics nomogram, developed using rad_score, nodal stage, and lymphovascular invasion, showed good performance in the calibration curve and comparable predictive power with the staging system in the validation set. Textural features derived from18F‐FDG‐PET images may enable detailed stratification of prognosis in patients with CRC.
- F‐fluorodeoxyglucose positron‐emission tomography
- Colorectal cancer
- Progression‐free survival
ASJC Scopus subject areas
- Cancer Research