OBJECTIVE: Determine the characteristic imaging findings and accuracy for diagnosis of peritoneal @entity3 in @entity356 by 64-slice multidetector computed tomography (MDCT). MATERIAL AND METHOD: A retrospective study was performed in 50 @entity1 with @entity356 who underwent 64-slice MDCT The @entity1 were enrolled between January 2006 and March 2011. The MDCT scan ofabdomen from @entity1 with @entity356 was retrospectively evaluated by two gastrointestinal radiologists without knowledge of each @entity1 s history, clinical data, and final diagnosis. Readers recorded the presence or absence of @entity843 , increased peritoneal fat density, peritoneal thickening or enhancement, and peritoneal nodule or mass. Sensitivity, specificity, accuracy, positive predictive value ( @entity2286 ), and negative predictive value (NPV) of CT scan were calculated. RESULTS: Twenty-five @entity1 from 50 @entity1 indicated presence of peritoneal @entity3 . The accuracies of 64-sliced MDCT of @entity843 , increased peritoneal fat density, peritoneal thickening/enhancement, and peritoneal nodule are 80.00, 80.00, 68.00, and 84.00%, respectively. CONCLUSION: The 64-slice MDCT is a non-invasive imaging method that can be used for diagnosing staging @entity356 with @entity189 peritoneii. It is an important tool for further investigation and proper treatment. Peritoneal nodules, increased peritoneal fat density, @entity843 , and peritoneal thickening/enhancement are ancillary signs suggestive ofperitoneal @entity189 . However, in equivocal cases of imaging study, further investigation with laparoscopy is suggested to rule out small or miliary peritoneal @entity3 .

Diagnostic performance of multidetector computed tomography (MDCT) in evaluation for peritoneal XXXX in @entity356 .

@entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity843 :: ('MESH:D001201', 'Disease') :: ['ascites'] @entity2286 :: ('12211', 'Species') :: ['PPV'] @entity189 :: ('MESH:D002277', 'Disease') :: ['carcinomatosis'] @entity3 :: ('MESH:D009362', 'Disease') :: ['metastasis'] @entity356 :: ('MESH:D013274', 'Disease') :: ['gastric cancer']
@entity3 :: (MESH:D009362,Disease) :: ['metastasis']
