Prediction of tumour grade and survival outcome using pre-treatment PET- and MRI-derived imaging features in patients with resectable pancreatic ductal adenocarcinoma.
Details
Serval ID
serval:BIB_E6D90FEBC90D
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Prediction of tumour grade and survival outcome using pre-treatment PET- and MRI-derived imaging features in patients with resectable pancreatic ductal adenocarcinoma.
Journal
European radiology
ISSN
1432-1084 (Electronic)
ISSN-L
0938-7994
Publication state
Published
Issued date
02/2021
Peer-reviewed
Oui
Volume
31
Number
2
Pages
992-1001
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Publication Status: ppublish
Abstract
To perform a correlation analysis between histopathology and imaging in patients with previously untreated pancreatic ductal adenocarcinoma (PDAC) and to determine the prognostic values of clinical, histological, and imaging parameters regarding overall survival (OS), disease-specific survival (DSS), and progression-free survival (PFS).
This single-centre study prospectively included 61 patients (32 males; median age, 68.0 years [IQR, 63.0-75.0 years]) with histologically confirmed PDAC and following surgical resection who preoperatively underwent <sup>18</sup> F-FDG PET/CT and DW-MRI. On whole lesions, we measured, using a 42% SUV <sub>max</sub> threshold volume of interest (VOI), the following quantitative parameters: mean and maximum standardised uptake values (SUV <sub>mean</sub> and SUV <sub>max</sub> ), total lesion glycolysis (TLG), metabolic tumour volume (MTV), mean and minimum apparent diffusion coefficient (ADC <sub>mean</sub> and ADC <sub>min</sub> ), diffusion total volume (DTV), and MTV/ADC <sub>min</sub> ratio. Spearman's correlation analysis was performed to assess relationships between these markers and histopathological findings from surgical specimens (stage; grade; resection quality; and vascular, perineural, and lymphatic invasion). Kaplan-Meier and Cox hazard ratio methods were used to evaluate the impacts of imaging parameters on OS (n = 41), DSS (n = 36), and PFS (n = 41).
Inverse correlations between ADC <sub>min</sub> and SUV <sub>max</sub> (rho = - 0.34; p = 0.0071), and between SUV <sub>mean</sub> and ADC <sub>mean</sub> (rho = - 0.29; p = 0.026) were identified. ADC <sub>min</sub> was inversely correlated with tumour grade (rho = - 0.40; p = 0.0015). MTV was an independent predictive factor for OS and DSS, while DTV was an independent predictive factor for PFS.
In previously untreated PDAC, ADC and SUV values are correlated. Combining PET-MRI metrics may help predict PDAC grade and patients' survival.
• Minimum apparent diffusion coefficient derived from DW-MRI inversely correlates with tumour grade in pancreatic ductal adenocarcinoma. • In pancreatic ductal adenocarcinoma, metabolic tumour volume has been confirmed as a predictive factor for patients' overall survival and disease-specific survival. • Combining PET and MRI metrics may help predict grade and patients' survival in pancreatic ductal adenocarcinoma.
This single-centre study prospectively included 61 patients (32 males; median age, 68.0 years [IQR, 63.0-75.0 years]) with histologically confirmed PDAC and following surgical resection who preoperatively underwent <sup>18</sup> F-FDG PET/CT and DW-MRI. On whole lesions, we measured, using a 42% SUV <sub>max</sub> threshold volume of interest (VOI), the following quantitative parameters: mean and maximum standardised uptake values (SUV <sub>mean</sub> and SUV <sub>max</sub> ), total lesion glycolysis (TLG), metabolic tumour volume (MTV), mean and minimum apparent diffusion coefficient (ADC <sub>mean</sub> and ADC <sub>min</sub> ), diffusion total volume (DTV), and MTV/ADC <sub>min</sub> ratio. Spearman's correlation analysis was performed to assess relationships between these markers and histopathological findings from surgical specimens (stage; grade; resection quality; and vascular, perineural, and lymphatic invasion). Kaplan-Meier and Cox hazard ratio methods were used to evaluate the impacts of imaging parameters on OS (n = 41), DSS (n = 36), and PFS (n = 41).
Inverse correlations between ADC <sub>min</sub> and SUV <sub>max</sub> (rho = - 0.34; p = 0.0071), and between SUV <sub>mean</sub> and ADC <sub>mean</sub> (rho = - 0.29; p = 0.026) were identified. ADC <sub>min</sub> was inversely correlated with tumour grade (rho = - 0.40; p = 0.0015). MTV was an independent predictive factor for OS and DSS, while DTV was an independent predictive factor for PFS.
In previously untreated PDAC, ADC and SUV values are correlated. Combining PET-MRI metrics may help predict PDAC grade and patients' survival.
• Minimum apparent diffusion coefficient derived from DW-MRI inversely correlates with tumour grade in pancreatic ductal adenocarcinoma. • In pancreatic ductal adenocarcinoma, metabolic tumour volume has been confirmed as a predictive factor for patients' overall survival and disease-specific survival. • Combining PET and MRI metrics may help predict grade and patients' survival in pancreatic ductal adenocarcinoma.
Keywords
Carcinoma, Pancreatic ductal, Diffusion magnetic resonance imaging, Fluorodeoxyglucose F-18, Patient outcome assessment, Progression-free survival
Pubmed
Web of science
Open Access
Yes
Create date
31/08/2020 10:41
Last modification date
21/11/2022 8:30
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