Pancreatic cancer growth using magnetic resonance and bioluminescence imaging

Ritelli, Rossana; Ngaleu, Raphael Ngalani; Bontempi, Pietro; D’Andrea, Mario; Nicolato, Elena; Boschi, Federico; Fiorini, Silvia; Calderan, Laura; Scarpa, Aldo; Marzola, Pasquina

doi:10.1016/j.mri.2015.02.017

Cited by 4 publications

(3 citation statements)

References 21 publications

(31 reference statements)

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“…Several DCE studies of the abdominal organs in mice have been previously reported including examination of pancreas [ 41 , 42 , 43 , 44 ], placenta [ 45 , 46 ], kidney [ 24 , 47 ] and liver [ 2 , 48 , 49 , 50 , 51 ]. Most of these studies employed full Cartesian sampling for acquisition of the dynamic data.…”

Section: Discussionmentioning

confidence: 99%

Dynamic Contrast-Enhanced MRI in the Abdomen of Mice with High Temporal and Spatial Resolution Using Stack-of-Stars Sampling and KWIC Reconstruction

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Romanello-Giroud-Joaquim

Gupta

et al. 2022

Tomography

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Application of quantitative dynamic contrast-enhanced (DCE) MRI in mouse models of abdominal cancer is challenging due to the effects of RF inhomogeneity, image corruption from rapid respiratory motion and the need for high spatial and temporal resolutions. Here we demonstrate a DCE protocol optimized for such applications. The method consists of three acquisitions: (1) actual flip-angle B1 mapping, (2) variable flip-angle T1 mapping and (3) acquisition of the DCE series using a motion-robust radial strategy with k-space weighted image contrast (KWIC) reconstruction. All three acquisitions employ spoiled radial imaging with stack-of-stars sampling (SoS) and golden-angle increments between the views. This scheme is shown to minimize artifacts due to respiratory motion while simultaneously facilitating view-sharing image reconstruction for the dynamic series. The method is demonstrated in a genetically engineered mouse model of pancreatic ductal adenocarcinoma and yielded mean perfusion parameters of Ktrans = 0.23 ± 0.14 min−1 and ve = 0.31 ± 0.17 (n = 22) over a wide range of tumor sizes. The SoS-sampled DCE method is shown to produce artifact-free images with good SNR leading to robust estimation of DCE parameters.

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Section: Discussionmentioning

confidence: 99%

Dynamic Contrast-Enhanced MRI in the Abdomen of Mice with High Temporal and Spatial Resolution Using Stack-of-Stars Sampling and KWIC Reconstruction

Pickup

Romanello-Giroud-Joaquim

Gupta

et al. 2022

Tomography

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show abstract

“…Currently, several mouse models of pancreatic cancer have been studied (Herreros-Villanueva et al, 2012;Ritelli et al, 2015). These include subcutaneously and/or orthotopically implanted xenografts of human tumor cells (Partecke et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…Thus, a non-invasive method to monitor the tumor initiation and growth, and to evaluate the therapeutic response is highly desirable (Grimm et al, 2003). Several in vivo imaging modalities, such as computed tomography (CT), positron-emission tomography (PET), optical imaging, and ultrasound, have been developed for assessing tumor size and/or volume in animal models (Cao et al, 2008;Ritelli et al, 2015;Wu et al, 2014). Among them, MRI provides a powerful tool for preclinical research due to several combined advantage (Partecke et al, 2011).…”

Section: Introductionmentioning

confidence: 99%