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Quantitative Magnetic Resonance Imaging in the Transgenic APCΔ468 Mouse Model of Hereditary Colon Cancer.
MedLine Citation:
PMID:  23348792     Owner:  NLM     Status:  In-Data-Review    
AbstractIn this study, we investigated the use of high-resolution magnetic resonance imaging (MRI) methods for in vivo detection and quantitative characterization of colorectal tumors in the transgenic APCΔ468 mouse model. High-resolution T1-weighted (T1W) images, T2-weighted (T2W) images, and dynamic contrast-enhanced (DCE) measurements were performed using a 7.0 T small-animal imaging system (N  =  10). Individual tumors were identified on both T1W and T2W images. Twenty-eight tumors (2.8 ± 0.9 mm, mean ± SD) were detected with high-resolution MRI across a distance of roughly 3 cm from the rectum to the splenic flexure, whereas 29 tumors were found within corresponding colon tissue samples examined at gross necropsy in the same area. T2 values were significantly different between tumor, skeletal muscle, and normal intestinal wall tissues (p < .05). For analysis of the vascular characteristics of colon tumor tissues using DCE measurements, the initial area under the curve (IAUC) for Gd contrast concentration curve (time) (CGd [t]) was calculated with integration times of 60 and 120 seconds post-contrast infusion; two integration times were selected to capture both tracer wash-in and wash-out characteristics. IAUC measurements were significantly larger in tumor tissues compared to both normal intestinal wall and skeletal muscle tissues (p < .001). In vivo anatomic and quantitative MRI measurements were readily feasible in the transgenic APCΔ468 mouse model. These noninvasive methods should improve experimental efficiencies during longitudinal survival studies that otherwise would require single-end-point necropsy measurements.
Zhuoli Zhang; Weiguo Li; Nichole R Blatner; Kristen L Dennis; Daniel Procissi; Khashayarsha Khazaie; Andrew C Larson
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Molecular imaging     Volume:  12     ISSN:  1536-0121     ISO Abbreviation:  Mol Imaging     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-01-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101120118     Medline TA:  Mol Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  59-66     Citation Subset:  IM    
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