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DWI Metrics Differentiating Benign Intraductal Papillary Mucinous Neoplasms from Invasive Pancreatic Cancer: A Study in GEM Models
SIMPLE SUMMARY: Intraductal papillary mucinous neoplasms (IPMN) are common premalignant precursors to pancreatic ductal adenocarcinoma (PDAC). However, current guidelines for clinical management of IPMN are suboptimal and limited to information obtained through anatomical imaging and cytology of bio...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406679/ https://www.ncbi.nlm.nih.gov/pubmed/36011011 http://dx.doi.org/10.3390/cancers14164017 |
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author | Romanello Joaquim, Miguel Furth, Emma E. Fan, Yong Song, Hee Kwon Pickup, Stephen Cao, Jianbo Choi, Hoon Gupta, Mamta Cao, Quy Shinohara, Russell McMenamin, Deirdre Clendenin, Cynthia Karasic, Thomas B. Duda, Jeffrey Gee, James C. O’Dwyer, Peter J. Rosen, Mark A. Zhou, Rong |
author_facet | Romanello Joaquim, Miguel Furth, Emma E. Fan, Yong Song, Hee Kwon Pickup, Stephen Cao, Jianbo Choi, Hoon Gupta, Mamta Cao, Quy Shinohara, Russell McMenamin, Deirdre Clendenin, Cynthia Karasic, Thomas B. Duda, Jeffrey Gee, James C. O’Dwyer, Peter J. Rosen, Mark A. Zhou, Rong |
author_sort | Romanello Joaquim, Miguel |
collection | PubMed |
description | SIMPLE SUMMARY: Intraductal papillary mucinous neoplasms (IPMN) are common premalignant precursors to pancreatic ductal adenocarcinoma (PDAC). However, current guidelines for clinical management of IPMN are suboptimal and limited to information obtained through anatomical imaging and cytology of biopsy samples. Our results have suggested that diffusion-weighted MRI, an imaging method sensitive to tumor cell density, architecture, and microenvironment is able to differentiate mouse models of IPMN versus PDAC. ABSTRACT: KPC (Kras(G12D):Trp53(R172H):Pdx1-Cre) and CKS (Kras(G12D):Smad4(L/L):Ptf1a-Cre) mice are genetically engineered mouse (GEM) models that capture features of human pancreatic ductal adenocarcinoma (PDAC) and intraductal papillary mucinous neoplasms (IPMN), respectively. We compared these autochthonous tumors using quantitative imaging metrics from diffusion-weighted MRI (DW-MRI) and dynamic contrast enhanced (DCE)-MRI in reference to quantitative histological metrics including cell density, fibrosis, and microvasculature density. Our results revealed distinct DW-MRI metrics between the KPC vs. CKS model (mimicking human PDAC vs. IPMN lesion): the apparent diffusion coefficient (ADC) of CKS tumors is significantly higher than that of KPC, with little overlap (mean ± SD [Formula: see text] vs. [Formula: see text] , [Formula: see text]) despite intratumor and intertumor variability. Kurtosis index (KI) is also distinctively separated in the two models. DW imaging metrics are consistent with growth pattern, cell density, and the cystic nature of the CKS tumors. Coregistration of ex vivo ADC maps with H&E-stained sections allowed for regional comparison and showed a correlation between local cell density and ADC value. In conclusion, studies in GEM models demonstrate the potential utility of diffusion-weighted MRI metrics for distinguishing pancreatic cancer from benign pancreatic cysts such as IPMN. |
format | Online Article Text |
id | pubmed-9406679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94066792022-08-26 DWI Metrics Differentiating Benign Intraductal Papillary Mucinous Neoplasms from Invasive Pancreatic Cancer: A Study in GEM Models Romanello Joaquim, Miguel Furth, Emma E. Fan, Yong Song, Hee Kwon Pickup, Stephen Cao, Jianbo Choi, Hoon Gupta, Mamta Cao, Quy Shinohara, Russell McMenamin, Deirdre Clendenin, Cynthia Karasic, Thomas B. Duda, Jeffrey Gee, James C. O’Dwyer, Peter J. Rosen, Mark A. Zhou, Rong Cancers (Basel) Article SIMPLE SUMMARY: Intraductal papillary mucinous neoplasms (IPMN) are common premalignant precursors to pancreatic ductal adenocarcinoma (PDAC). However, current guidelines for clinical management of IPMN are suboptimal and limited to information obtained through anatomical imaging and cytology of biopsy samples. Our results have suggested that diffusion-weighted MRI, an imaging method sensitive to tumor cell density, architecture, and microenvironment is able to differentiate mouse models of IPMN versus PDAC. ABSTRACT: KPC (Kras(G12D):Trp53(R172H):Pdx1-Cre) and CKS (Kras(G12D):Smad4(L/L):Ptf1a-Cre) mice are genetically engineered mouse (GEM) models that capture features of human pancreatic ductal adenocarcinoma (PDAC) and intraductal papillary mucinous neoplasms (IPMN), respectively. We compared these autochthonous tumors using quantitative imaging metrics from diffusion-weighted MRI (DW-MRI) and dynamic contrast enhanced (DCE)-MRI in reference to quantitative histological metrics including cell density, fibrosis, and microvasculature density. Our results revealed distinct DW-MRI metrics between the KPC vs. CKS model (mimicking human PDAC vs. IPMN lesion): the apparent diffusion coefficient (ADC) of CKS tumors is significantly higher than that of KPC, with little overlap (mean ± SD [Formula: see text] vs. [Formula: see text] , [Formula: see text]) despite intratumor and intertumor variability. Kurtosis index (KI) is also distinctively separated in the two models. DW imaging metrics are consistent with growth pattern, cell density, and the cystic nature of the CKS tumors. Coregistration of ex vivo ADC maps with H&E-stained sections allowed for regional comparison and showed a correlation between local cell density and ADC value. In conclusion, studies in GEM models demonstrate the potential utility of diffusion-weighted MRI metrics for distinguishing pancreatic cancer from benign pancreatic cysts such as IPMN. MDPI 2022-08-20 /pmc/articles/PMC9406679/ /pubmed/36011011 http://dx.doi.org/10.3390/cancers14164017 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Romanello Joaquim, Miguel Furth, Emma E. Fan, Yong Song, Hee Kwon Pickup, Stephen Cao, Jianbo Choi, Hoon Gupta, Mamta Cao, Quy Shinohara, Russell McMenamin, Deirdre Clendenin, Cynthia Karasic, Thomas B. Duda, Jeffrey Gee, James C. O’Dwyer, Peter J. Rosen, Mark A. Zhou, Rong DWI Metrics Differentiating Benign Intraductal Papillary Mucinous Neoplasms from Invasive Pancreatic Cancer: A Study in GEM Models |
title | DWI Metrics Differentiating Benign Intraductal Papillary Mucinous Neoplasms from Invasive Pancreatic Cancer: A Study in GEM Models |
title_full | DWI Metrics Differentiating Benign Intraductal Papillary Mucinous Neoplasms from Invasive Pancreatic Cancer: A Study in GEM Models |
title_fullStr | DWI Metrics Differentiating Benign Intraductal Papillary Mucinous Neoplasms from Invasive Pancreatic Cancer: A Study in GEM Models |
title_full_unstemmed | DWI Metrics Differentiating Benign Intraductal Papillary Mucinous Neoplasms from Invasive Pancreatic Cancer: A Study in GEM Models |
title_short | DWI Metrics Differentiating Benign Intraductal Papillary Mucinous Neoplasms from Invasive Pancreatic Cancer: A Study in GEM Models |
title_sort | dwi metrics differentiating benign intraductal papillary mucinous neoplasms from invasive pancreatic cancer: a study in gem models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406679/ https://www.ncbi.nlm.nih.gov/pubmed/36011011 http://dx.doi.org/10.3390/cancers14164017 |
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