title: Gastric cancer: imaging and staging with MDCT based on the 7th AJCC guidelines.
abstract: Gastric cancer is a common deadly cancer worldwide. The tumor-node-metastasis (TNM) staging system is one of the most commonly used staging systems, and is accepted and maintained by the International Union against Cancer (UICC) and the American Joint Committee on Cancer (AJCC). The TNM system is well known to effectively predict the prognosis of gastric cancer patients. The latest revision of TNM staging was presented in the 7th edition of the AJCC in 2009. Multi-detector row CT (MDCT) is a powerful test for non-invasive evaluation and can assess metastatic and locoregional staging simultaneously. Current MDCT with isotropic imaging and 3D images has increased the accuracy of T and N staging in patients with gastric cancer. Multi-planar reformatted images permit the radiologist to select the optimal imaging plane to accurately evaluate tumor invasion depth of the gastric wall and perigastric infiltration to identify a fat plane between a tumor and adjacent organs, to avoid partial volume averaging effects, and to differentiate lymph nodes from small perigastric vessels. Thus, MDCT provides a useful all-in-one diagnostic method for the pre-operative evaluation of patients with known, or strongly suspected, gastric cancer according to the 7th AJCC TNM staging system.
authors.affiliation: Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Kangnam-Ku, Seoul, Republic of Korea.
authors.forename: Mi Hee
authors.initials: MH
authors.lastname: Lee
authors.forename: Dongil
authors.initials: D
authors.lastname: Choi
authors.forename: Min Jung
authors.initials: MJ
authors.lastname: Park
authors.forename: Min Woo
authors.initials: MW
authors.lastname: Lee
mesh_terms: D005753:Gastric Mucosa / Q000473:pathology; D006801:Humans; D008207:Lymphatic Metastasis; D061330:Multidetector Computed Tomography / Q000379:methods*; D009361:Neoplasm Invasiveness; D009367:Neoplasm Staging; D013274:Stomach Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology* / Q000601:surgery