Dual tracer 68Ga-DOTATOC and 18F-FDG PET/computed tomography radiomics in pancreatic neuroendocrine neoplasms: an endearing tool for preoperative risk assessment
| Autor: | Matteo Salgarello, Francesca Muffatti, Maria Picchio, Stefano Partelli, Stefano Pasetto, Massimo Falconi, Paola M.V. Rancoita, Valentino Bettinardi, Paola Mapelli, Luca Presotto, Valentina Andreasi, Joniada Doraku, Luigi Gianolli |
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| Přispěvatelé: | Mapelli, P., Partelli, S., Salgarello, M., Doraku, J., Pasetto, S., Rancoita, P. M. V., Muffatti, F., Bettinardi, V., Presotto, L., Andreasi, V., Gianolli, L., Picchio, M., Falconi, M., Mapelli, P, Partelli, S, Salgarello, M, Doraku, J, Pasetto, S, Rancoita, P, Muffatti, F, Bettinardi, V, Presotto, L, Andreasi, V, Gianolli, L, Picchio, M, Falconi, M |
| Rok vydání: | 2020 |
| Předmět: |
Male
Preoperative risk Computed tomography risk stratification Octreotide 030218 nuclear medicine & medical imaging surgery 0302 clinical medicine Radiomics Positron Emission Tomography Computed Tomography Image Processing Computer-Assisted Dual tracer texture analysis neuroendocrine neoplasm medicine.diagnostic_test pancreatic neuroendocrine neoplasms General Medicine Middle Aged Neuroendocrine Tumors 030220 oncology & carcinogenesis Preoperative Period Principal component analysis Female dual tracer Adult Adolescent Coefficient of variation F-FDG Risk Assessment Ga-DOTA Young Adult 03 medical and health sciences Fluorodeoxyglucose F18 Linear regression Organometallic Compounds medicine Humans prognostic value Radiology Nuclear Medicine and imaging Radioactive Tracers Aged Retrospective Studies neuroendocrine neoplasms business.industry texture analysi Retrospective cohort study Pancreatic Neoplasms PET/computed tomography pancreatic neuroendocrine neoplasm Nuclear medicine business |
| Zdroj: | Nuclear Medicine Communications. 41:896-905 |
| ISSN: | 0143-3636 |
| Popis: | Aim To explore the potentiality of radiomics analysis, performed on 68Ga-DOTATOC and fluorine-18-fluorodeoxyglucose (18F-FDG) PET/computed tomography (CT) images, in predicting tumour aggressiveness and outcome in patients candidate to surgery for pancreatic neuroendocrine neoplasms (PanNENs). Patients and methods Retrospective study including 61 patients who underwent 68Ga-DOTATOC and 18F-FDG PET/CT before surgery for PanNEN. Semiquantitative variables [SUVmax and somatostatin receptor density (SRD) for 68Ga-DOTATOC PET; SUVmax and MTV for 18F-FDG PET] and texture features [intensity variability, size zone variability (SZV), zone percentage, entropy; homogeneity, dissimilarity and coefficient of variation (Co-V)] have been analysed to evaluate their possible role in predicting tumour characteristics. Principal component analysis (PCA) was firstly performed and then multiple regression analyses were performed by using the extracted principal components. Results Regarding 68Ga-DOTATOC PET, SZV, entropy, intensity variability and SRD were predictive for tumour dimension. Regarding 18F-FDG PET, intensity variability, SZV, homogeneity, SUVmax and MTV were predictive for tumour dimension. Four principal components were extracted from PCA: PC1 correlated with all 18F-FDG variables, while PC2, PC3 and PC4 with 68Ga-DOTATOC variables. PC1 was the only significantly predicting angioinvasion (P = 0.0222); PC4 was the only one significantly predicting lymph nodal involvement (P = 0.0151). All principal components except PC4 significantly predicted tumour dimension (P |
| Databáze: | OpenAIRE |
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