Back to Search
Start Over
Pathological validation and prognostic potential of quantitative MRI in the characterization of pancreas cancer: preliminary experience
- Source :
- Molecular Oncology, Molecular Oncology, Vol 14, Iss 9, Pp 2176-2189 (2020), Molecular oncology, 14(9), 2176-2189. Elsevier, Molecular Oncology, 14(9), 2176-2189. John Wiley & Sons Ltd.
- Publication Year :
- 2020
- Publisher :
- John Wiley & Sons Ltd., 2020.
-
Abstract
- Patient stratification based on biological variation in pancreatic ductal adenocarcinoma (PDAC) subtypes could help to improve clinical outcome. However, noninvasive assessment of the entire tumor microenvironment remains challenging. In this study, we investigate the biological basis of dynamic contrast‐enhanced (DCE), intravoxel incoherent motion (IVIM), and R2*‐derived magnetic resonance imaging (MRI) parameters for the noninvasive characterization of the PDAC tumor microenvironment and evaluate their prognostic potential in PDAC patients. Patients diagnosed with treatment‐naïve resectable PDAC underwent MRI. After resection, a whole‐mount tumor slice was analyzed for collagen fraction, vessel density, and hypoxia and matched to the MRI parameter maps. MRI parameters were correlated to immunohistochemistry‐derived tissue characteristics and evaluated for prognostic potential. Thirty patients were included of whom 21 underwent resection with whole‐mount histology available in 15 patients. DCE K trans and v e, ADC, and IVIM D correlated with collagen fraction. DCE k ep and IVIM f correlated with vessel density and R2* with tissue hypoxia. Based on MRI, two main PDAC phenotypes could be distinguished; a stroma‐high phenotype demonstrating high vessel density and high collagen fraction and a stroma‐low phenotype demonstrating low vessel density and low collagen fraction. Patients with the stroma‐high phenotype (high k ep and high IVIM D, n = 8) showed longer overall survival (not reached vs. 14 months, P = 0.001, HR = 9.1, P = 0.004) and disease‐free survival (not reached vs. 2 months, P<br />Patient stratification based on biological variation in pancreatic ductal adenocarcinoma subtypes could help to improve clinical outcome. In this study, quantitative magnetic resonance imaging (MRI) parameters were directly correlated to immunohistochemistry‐derived tissue characteristics. Furthermore, based on MRI parameters a subgroup of patients with significantly better prognosis could be identified, indicating that patient stratification based on MRI parameters is feasible.
- Subjects :
- 0301 basic medicine
Male
Cancer Research
histological techniques
carcinoma
lcsh:RC254-282
03 medical and health sciences
0302 clinical medicine
SDG 3 - Good Health and Well-being
Genetics
medicine
Carcinoma
Humans
Pathological
Intravoxel incoherent motion
Research Articles
Aged
pancreatic ductal
diffusion magnetic resonance imaging
Aged, 80 and over
Tumor microenvironment
medicine.diagnostic_test
business.industry
Cancer
Magnetic resonance imaging
General Medicine
Hypoxia (medical)
Middle Aged
lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
medicine.disease
Prognosis
Magnetic Resonance Imaging
Survival Analysis
Pancreatic Neoplasms
030104 developmental biology
medicine.anatomical_structure
Oncology
030220 oncology & carcinogenesis
Molecular Medicine
Female
medicine.symptom
Pancreas
business
Nuclear medicine
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 18780261 and 15747891
- Volume :
- 14
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- Molecular Oncology
- Accession number :
- edsair.doi.dedup.....d8b69a57b69d656e9dd185a7223d89ed