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Prediction of tumour grade and survival outcome using pre-treatment PET- and MRI-derived imaging features in patients with resectable pancreatic ductal adenocarcinoma
OBJECTIVES: 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 su...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7813698/ https://www.ncbi.nlm.nih.gov/pubmed/32851447 http://dx.doi.org/10.1007/s00330-020-07191-z |
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author | Dunet, Vincent Halkic, Nermin Sempoux, Christine Demartines, Nicolas Montemurro, Michael Prior, John O. Schmidt, Sabine |
author_facet | Dunet, Vincent Halkic, Nermin Sempoux, Christine Demartines, Nicolas Montemurro, Michael Prior, John O. Schmidt, Sabine |
author_sort | Dunet, Vincent |
collection | PubMed |
description | OBJECTIVES: 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). METHODS: 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 (18)F-FDG PET/CT and DW-MRI. On whole lesions, we measured, using a 42% SUV(max) threshold volume of interest (VOI), the following quantitative parameters: mean and maximum standardised uptake values (SUV(mean) and SUV(max)), total lesion glycolysis (TLG), metabolic tumour volume (MTV), mean and minimum apparent diffusion coefficient (ADC(mean) and ADC(min)), diffusion total volume (DTV), and MTV/ADC(min) 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). RESULTS: Inverse correlations between ADC(min) and SUV(max) (rho = − 0.34; p = 0.0071), and between SUV(mean) and ADC(mean) (rho = − 0.29; p = 0.026) were identified. ADC(min) 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. CONCLUSION: In previously untreated PDAC, ADC and SUV values are correlated. Combining PET-MRI metrics may help predict PDAC grade and patients’ survival. KEY POINTS: • 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-020-07191-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7813698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-78136982021-01-25 Prediction of tumour grade and survival outcome using pre-treatment PET- and MRI-derived imaging features in patients with resectable pancreatic ductal adenocarcinoma Dunet, Vincent Halkic, Nermin Sempoux, Christine Demartines, Nicolas Montemurro, Michael Prior, John O. Schmidt, Sabine Eur Radiol Oncology OBJECTIVES: 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). METHODS: 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 (18)F-FDG PET/CT and DW-MRI. On whole lesions, we measured, using a 42% SUV(max) threshold volume of interest (VOI), the following quantitative parameters: mean and maximum standardised uptake values (SUV(mean) and SUV(max)), total lesion glycolysis (TLG), metabolic tumour volume (MTV), mean and minimum apparent diffusion coefficient (ADC(mean) and ADC(min)), diffusion total volume (DTV), and MTV/ADC(min) 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). RESULTS: Inverse correlations between ADC(min) and SUV(max) (rho = − 0.34; p = 0.0071), and between SUV(mean) and ADC(mean) (rho = − 0.29; p = 0.026) were identified. ADC(min) 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. CONCLUSION: In previously untreated PDAC, ADC and SUV values are correlated. Combining PET-MRI metrics may help predict PDAC grade and patients’ survival. KEY POINTS: • 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-020-07191-z) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-08-26 2021 /pmc/articles/PMC7813698/ /pubmed/32851447 http://dx.doi.org/10.1007/s00330-020-07191-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Oncology Dunet, Vincent Halkic, Nermin Sempoux, Christine Demartines, Nicolas Montemurro, Michael Prior, John O. Schmidt, Sabine Prediction of tumour grade and survival outcome using pre-treatment PET- and MRI-derived imaging features in patients with resectable pancreatic ductal adenocarcinoma |
title | Prediction of tumour grade and survival outcome using pre-treatment PET- and MRI-derived imaging features in patients with resectable pancreatic ductal adenocarcinoma |
title_full | Prediction of tumour grade and survival outcome using pre-treatment PET- and MRI-derived imaging features in patients with resectable pancreatic ductal adenocarcinoma |
title_fullStr | Prediction of tumour grade and survival outcome using pre-treatment PET- and MRI-derived imaging features in patients with resectable pancreatic ductal adenocarcinoma |
title_full_unstemmed | Prediction of tumour grade and survival outcome using pre-treatment PET- and MRI-derived imaging features in patients with resectable pancreatic ductal adenocarcinoma |
title_short | Prediction of tumour grade and survival outcome using pre-treatment PET- and MRI-derived imaging features in patients with resectable pancreatic ductal adenocarcinoma |
title_sort | prediction of tumour grade and survival outcome using pre-treatment pet- and mri-derived imaging features in patients with resectable pancreatic ductal adenocarcinoma |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7813698/ https://www.ncbi.nlm.nih.gov/pubmed/32851447 http://dx.doi.org/10.1007/s00330-020-07191-z |
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