Back to Search Start Over

Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Measuring Perfusion in Pancreatic Ductal Adenocarcinoma and Different Tumor Grade: A Preliminary Single Center Study

Authors :
Inga Zaborienė
Vestina Strakšytė
Povilas Ignatavičius
Giedrius Barauskas
Rūta Dambrauskienė
Kristina Žvinienė
Source :
Diagnostics, Vol 13, Iss 3, p 521 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Background: Dynamic contrast-enhanced magnetic resonance imaging is a noninvasive imaging modality that can supply information regarding the tumor anatomy and physiology. The aim of the study was to analyze DCE-MRI perfusion parameters in normal pancreatic parenchymal tissue and PDAC and to evaluate the efficacy of this diagnostic modality in determining the tumor grade. Methods: A single-center retrospective study was performed. A total of 28 patients with histologically proven PDAC underwent DCE-MRI; the control group enrolled 14 patients with normal pancreatic parenchymal tissue; the radiological findings were compared with histopathological data. The study patients were further grouped according to the differentiation grade (G value): well- and moderately differentiated and poorly differentiated PDAC. Results: The median values of Ktrans, kep and iAUC were calculated lower in PDAC compared with the normal pancreatic parenchymal tissue (p < 0.05). The mean value of Ve was higher in PDAC, compared with the normal pancreatic tissue (p < 0.05). Ktrans, kep and iAUC were lower in poorly differentiated PDAC, whereas Ve showed no differences between groups. Conclusions: Ve and iAUC DCE-MRI perfusion parameters are important as independent diagnostic criteria predicting the probability of PDAC; the Ktrans and iAUC DCE-MRI perfusion parameters may serve as effective independent prognosticators preoperatively identifying poorly differentiated PDAC.

Details

Language :
English
ISSN :
20754418
Volume :
13
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Diagnostics
Publication Type :
Academic Journal
Accession number :
edsdoj.2f8e53cd0a854a808be4c490c79b32d4
Document Type :
article
Full Text :
https://doi.org/10.3390/diagnostics13030521