These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Search MEDLINE/PubMed
Title: Evaluation of the Relationships Between Computed Tomography Features, Pathological Findings, and Prognostic Risk Assessment in Gastrointestinal Stromal Tumors. Author: Iannicelli E, Carbonetti F, Federici GF, Martini I, Caterino S, Pilozzi E, Panzuto F, Briani C, David V. Journal: J Comput Assist Tomogr; 2017; 41(2):271-278. PubMed ID: 27753723. Abstract: OBJECTIVES: The aim of this study was to correlate computed tomography (CT) findings with pathology in gastrointestinal stromal tumors (GISTs). METHODS: A retrospective evaluation of CT images of 44 patients with GISTs was performed. Computed tomography findings analyzed were location, size, margins, degree and pattern of contrast enhancement, angiogenesis, necrosis, signs of invasion, peritoneal effusion, peritoneal implants, surface ulceration, and calcifications.Associations between CT features and mitotic rate, Miettinen classes of risk, lesions size, and among CT features were investigated. χ Test and Fisher test were performed. RESULTS: Mitotic rate was associated with margins (P = 0.016) and with adjacent organ invasion (P = 0.043). Pattern of contrast enhancement (P = 0.002), angiogenesis (P = 0.006), necrosis (P = 0.006), invasion of adjacent organs (P = 0.011), and margins (P = 0.006) were associated with classes of risk. Several associations (P < 0.05) between lesion size and CT features and among all the investigated CT features were found. CONCLUSIONS: Computed tomography features could reflect GIST biology being associated with the mitotic rate and with classes of risk.[Abstract] [Full Text] [Related] [New Search]