Dataset Information

Evaluation of pancreatic tumor development in KPC mice using multi-parametric MRI.

ABSTRACT:

Background

Pancreatic ductal adenocarcinoma (PDA) is a fatal disease with very poor prognosis. Development of sensitive and noninvasive methods to monitor tumor progression in PDA is a critical and unmet need. Magnetic resonance imaging (MRI) can noninvasively provide information regarding underlying pathophysiological processes such as necrosis, inflammatory changes and fibrotic tissue deposition.

Methods

A genetically engineered KPC mouse model that recapitulates human PDA was used to characterize disease progression. MR measures of T₁ and T₂ relaxation times, magnetization transfer ratio (MTR), diffusion and chemical exchange saturation transfer were compared in two separate phases i.e. slow and rapid growth phase of tumor. Fibrotic tissue accumulation was assessed histologically using Masson's trichrome staining. Pearson correlation coefficient (r) was computed to assess the relationship between the fibrotic tissue accumulation and different MR parameters.

Results

There was a negative correlation between amide proton transfer signal intensity and tumor volume (r =?-?0.63, p =?0.003) in the slow growth phase of the tumor development. In the terminal stage of rapid growth phase of the tumor development MTR was strongly correlated with tumor volume (r =?0.62, p =?0.008). Finally, MTR was significantly correlated with % fibrosis (r =?0.87; p 1 (r =?-?0.61), T₂ (r?=?-?0.61) and accumulation of fibrotic tissue.

Conclusions

Here we demonstrated, using multi-parametric MRI (mp-MRI), that MRI parameters changed with tumor progression in a mouse model of PDA. Use of mp-MRI may have the potential to monitor the dynamic changes of tumor microenvironment with increase in tumor size in the transgenic KPC mouse model of pancreatic tumor.

SUBMITTER: Vohra R

PROVIDER: S-EPMC6225661 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Publications

Evaluation of pancreatic tumor development in KPC mice using multi-parametric MRI.

Vohra Ravneet R Park Joshua J Wang Yak-Nam YN Gravelle Kayla K Whang Stella S Hwang Joo-Ha JH Lee Donghoon D

Cancer imaging : the official publication of the International Cancer Imaging Society 20181108 1

<h4>Background</h4>Pancreatic ductal adenocarcinoma (PDA) is a fatal disease with very poor prognosis. Development of sensitive and noninvasive methods to monitor tumor progression in PDA is a critical and unmet need. Magnetic resonance imaging (MRI) can noninvasively provide information regarding underlying pathophysiological processes such as necrosis, inflammatory changes and fibrotic tissue deposition.<h4>Methods</h4>A genetically engineered KPC mouse model that recapitulates human PDA was u ...[more]

PMID: 30409175

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Dataset Information

Evaluation of pancreatic tumor development in KPC mice using multi-parametric MRI.

Background

Methods

Results

Conclusions

Publications

Evaluation of pancreatic tumor development in KPC mice using multi-parametric MRI.

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