A different perspective on18F-FDG PET radiomics in colorectal cancer patients: The relationship between intra & peritumoral analysis and pathological findings Una perspectiva diferente sobre la radiómica con 18F-FDG-PET en pacientes con cáncer colorrectal; la relación entre el análisis intra y peritumoral y los hallazgos patológicos
Revista Espanola de Medicina Nuclear e Imagen Molecular, cilt.42, sa.6, ss.359-366, 2023 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 42 Sayı: 6
- Basım Tarihi: 2023
- Doi Numarası: 10.1016/j.remn.2023.04.002
- Dergi Adı: Revista Espanola de Medicina Nuclear e Imagen Molecular
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, DIALNET
- Sayfa Sayıları: ss.359-366
- Anahtar Kelimeler: 18F-FDG PET/CT, Colorectal cancer, Intratumoral radiomics, Peritumoral radiomics, Tumor deposits, Tumor budding, Extramural venous invasion
- Sağlık Bilimleri Üniversitesi Adresli: Evet
Özet
Objective: We aimed to determine the value of 18F-fluorodeoxyglucose positron emission tomogra-phy/computed tomography (18F-FDG PET/CT) based primary tumoral and peritumoral radiomics in the prediction of tumor deposits (TDs), tumor budding (TB) and extramural venous invasion (EMVI) of colorectal cancer (CRC). Methods: Our retrospective study included 77 CRC patients who had preoperative18F-FDG PET/CT between June 2020 and February 2022. A total of 131 radiomic features were extracted from primary tumors and peritumoral areas on PET/CT fusion images. The relationship between TDs, TB, EMVI and T stage in the postoperative pathology of the tumors and radiomic features was investigated. Features with a correlation coefficient (CC) less than 0.8 were analyzed by logistic regression. The area under curve (AUC) obtained from the receiver operating characteristic analysis was used to measure the model performance. Results: A model was developed from primary tumoral and peritumoral radiomics data to predict T stage (AUC 0.931), and also a predictive model was constructed from primary tumor derived radiomics to predict EMVI (AUC 0.739). Radiomic data derived from the primary tumor was obtained as a predictive prognostic factor in predicting TDs and a peritumoral feature was found to be a prognostic factor in predicting TB. Conclusions: Intratumoral and peritumoral radiomics derived from18F-FDG PET/CT are useful for non-invasive early prediction of pathological features that have important implications in the management of CRC.