PURPOSE: The purpose of this study was to estimate the value of addition of liver imaging to initial rectal magnetic resonance imaging (MRI) for detection of liver @entity3 and evaluate imaging predictors of a high risk of liver @entity3 on rectal MRI. METHODS: We enrolled 144 @entity1 who from October 2010 to May 2013 underwent rectal MRI with T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI) (b values = 50, 500, and 900 s/mm2) of the liver and abdominopelvic computed tomography (APCT) for the initial staging of @entity5 . Two reviewers scored the possibility of liver @entity3 on different sets of liver images (T2WI, DWI, and combined T2WI and DWI) and APCT and reached a conclusion by consensus for different analytic results. Imaging features from rectal MRI were also analyzed. The diagnostic performances of CT and an additional liver scan to detect liver @entity3 were compared. Multivariate logistic regression to determine independent predictors of liver @entity3 among rectal MRI features and @entity5 markers was performed. This retrospective study was approved by the Institutional Review Board, and the requirement for informed consent was waived. RESULTS: All sets of liver images were more effective than APCT for detecting liver @entity3 , and DWI was the most effective. Perivascular stranding and anal sphincter invasion were statistically significant for liver @entity3 (p = 0.0077 and p = 0.0471), while extramural vascular invasion based on MRI (mrEMVI) was marginally significant (p = 0.0534). CONCLUSION: The addition of non-contrast-enhanced liver imaging, particularly DWI, to initial rectal MRI in @entity5 @entity1 could facilitate detection of liver @entity3 without APCT. Perivascular stranding, anal sphincter invasion, and mrEMVI detected on rectal MRI were important imaging predictors of liver @entity3 .

Efficiency of Non-Contrast-Enhanced Liver Imaging Sequences Added to Initial Rectal MRI in @entity5 XXXX .

@entity1 :: ('9606', 'Species') :: ['patients'] @entity5 :: ('MESH:D009369', 'Disease') :: ['rectal cancer', 'tumor'] @entity3 :: ('MESH:D009362', 'Disease') :: ['metastasis']
@entity1 :: (9606,Species) :: ['Patients']
