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Evaluation of the Relationships Between Computed Tomography Features, Pathological Findings, and Prognostic Risk Assessment in Gastrointestinal Stromal Tumors
- Source :
- Journal of Computer Assisted Tomography. 41:271-278
- Publication Year :
- 2017
- Publisher :
- Ovid Technologies (Wolters Kluwer Health), 2017.
-
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.
- Subjects :
- Adult
Male
Pathology
medicine.medical_specialty
Stromal cell
Gastrointestinal Stromal Tumors
Angiogenesis
Risk Assessment
Peritoneal Effusion
030218 nuclear medicine & medical imaging
Lesion
digestive system neoplasm
03 medical and health sciences
symbols.namesake
0302 clinical medicine
medicine
Humans
Radiology, Nuclear Medicine and imaging
Pathological
Fisher's exact test
Aged
Gastrointestinal Neoplasms
Retrospective Studies
Aged, 80 and over
GiST
business.industry
Middle Aged
Prognosis
radiology
Gastrointestinal Tract
030220 oncology & carcinogenesis
symbols
nuclear medicine and Imaging
Female
Tomography
Radiology
medicine.symptom
Tomography, X-Ray Computed
business
gastrointestinal stromal tumors
Subjects
Details
- ISSN :
- 03638715
- Volume :
- 41
- Database :
- OpenAIRE
- Journal :
- Journal of Computer Assisted Tomography
- Accession number :
- edsair.doi.dedup.....0091a87e603d24a94cb04b1831e8a140
- Full Text :
- https://doi.org/10.1097/rct.0000000000000499