Dual tracer 68Ga-DOTATOC and 18F-FDG PET/computed tomography radiomics in pancreatic neuroendocrine neoplasms: an endearing tool for preoperative risk assessment.
Adolescent
Adult
Aged
Female
Fluorodeoxyglucose F18
Humans
Image Processing, Computer-Assisted
Male
Middle Aged
Neuroendocrine Tumors
/ diagnostic imaging
Octreotide
/ analogs & derivatives
Organometallic Compounds
Pancreatic Neoplasms
/ diagnostic imaging
Positron Emission Tomography Computed Tomography
Preoperative Period
Radioactive Tracers
Retrospective Studies
Risk Assessment
Young Adult
Journal
Nuclear medicine communications
ISSN: 1473-5628
Titre abrégé: Nucl Med Commun
Pays: England
ID NLM: 8201017
Informations de publication
Date de publication:
Sep 2020
Sep 2020
Historique:
entrez:
16
8
2020
pubmed:
17
8
2020
medline:
8
6
2021
Statut:
ppublish
Résumé
To explore the potentiality of radiomics analysis, performed on Ga-DOTATOC and fluorine-18-fluorodeoxyglucose (F-FDG) PET/computed tomography (CT) images, in predicting tumour aggressiveness and outcome in patients candidate to surgery for pancreatic neuroendocrine neoplasms (PanNENs). Retrospective study including 61 patients who underwent Ga-DOTATOC and F-FDG PET/CT before surgery for PanNEN. Semiquantitative variables [SUVmax and somatostatin receptor density (SRD) for Ga-DOTATOC PET; SUVmax and MTV for F-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. Regarding Ga-DOTATOC PET, SZV, entropy, intensity variability and SRD were predictive for tumour dimension. Regarding F-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 F-FDG variables, while PC2, PC3 and PC4 with Ga-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 <0.0001 for PC1, P = 0.0016 for PC2 and P < 0.0001 for PC3). Co-V from Ga-DOTATOC PET/CT was predictive of the outcome. Specific texture features derived from preoperative Ga-DOTATOC and F-FDG PET/CT could noninvasively predict specific tumour characteristics and patients' outcome, delineating the potential role of dual tracer technique and texture analysis in the risk assessment of patients with PanNENs.
Identifiants
pubmed: 32796478
doi: 10.1097/MNM.0000000000001236
pii: 00006231-202009000-00009
doi:
Substances chimiques
Ga(III)-DOTATOC
0
Organometallic Compounds
0
Radioactive Tracers
0
Fluorodeoxyglucose F18
0Z5B2CJX4D
Octreotide
RWM8CCW8GP
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
896-905Références
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