Contrast enhanced CT and MRI interchangeably reflect tumor characteristics in murine pancreatic cancer

L Lea Würfel P Peter Niehaus G Geoffrey J. Topping M Mariia Semina M Markus Mittelhäuser S Susanne Kossatz M Marina Lesina F Fabian Lohöfer F Franz Schilling U Uwe Karst R Rickmer Braren I Irina Heid

Abstract

Abstract Contrast-enhanced computed tomography (CE-CT) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) are commonly used for tissue characterization, with CE-CT typically preferred in human studies and DCE-MRI in murine models. This raises the question of comparability of intra-and cross-species study results, as techniques differ and signal intensities following contrast agent (CA) administration reflect a complex interplay of systemic physiology and local tissue characteristics. This pilot study compares in vivo mean values of regions of interest (ROIs) obtained from CE-µCT (NanoScan ® SPECT/CT) and 7 T DCE-MRI (Agilent Discovery MR901 magnet with Bruker AVANCE III HD electronics) and evaluates ex vivo CA distribution using laser ablation–inductively coupled plasma–mass spectrometry (LA-ICP-MSI). A genetically engineered mouse model of pancreatic ductal adenocarcinoma (PDAC) served as the experimental system. Image-derived regional mean Hounsfield unit (HU) and area under the curve at 60 s (AUC₆₀) values were correlated with mean local iodine (iomeprol) and gadolinium (gadopentetate dimeglumine) concentrations. Semi-quantitative analysis of HU and AUC₆₀ enabled excellent distinction of histologically defined tumor regions with low versus high tumor cellularity ( p  < 0.0001 for both). A strong intermodal correlation was observed between regional HU and AUC₆₀ values ( r  = 0.91, 95% CI = 0.78–0.97), as well as between iodine and gadolinium ion concentrations ( r  = 0.86, 95% CI = 0.55–0.96). These findings demonstrate that CE‑µCT and DCE‑MRI show comparable trends as prognostic imaging biomarkers of tumor cellularity in murine PDAC, underscoring their complementary value for cross‑species translational imaging research.

Article Details

Volume / Issue Vol. 16, Issue 1
Published June 05, 2026
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (12)

L

Lea Würfel

P

Peter Niehaus

G

Geoffrey J. Topping

M

Mariia Semina

M

Markus Mittelhäuser

S

Susanne Kossatz

M

Marina Lesina

F

Fabian Lohöfer

F

Franz Schilling

U

Uwe Karst

R

Rickmer Braren

I

Irina Heid