Predictive features of CT for risk stratifications in patients with primary gastrointestinal stromal tumour
| Autor: | Dongye Wang, Xiaohui Duan, Huijun Hu, Xiang Zhang, Cui-Ping Zhou, Jun Shen |
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| Rok vydání: | 2015 |
| Předmět: |
Adult
Male medicine.medical_specialty Gastrointestinal Stromal Tumors 030218 nuclear medicine & medical imaging Lesion 03 medical and health sciences 0302 clinical medicine Text mining Stomach Neoplasms Medicine Humans Radiology Nuclear Medicine and imaging Multinomial logistic regression Neuroradiology Aged Univariate analysis GiST Receiver operating characteristic medicine.diagnostic_test business.industry Rectal Neoplasms Interventional radiology General Medicine Middle Aged 030220 oncology & carcinogenesis Colonic Neoplasms Female Radiology medicine.symptom business Epidemiologic Methods Tomography X-Ray Computed |
| Zdroj: | European radiology. 26(9) |
| ISSN: | 1432-1084 |
| Popis: | To determine the predictive CT imaging features for risk stratifications in patients with primary gastrointestinal stromal tumours (GISTs). One hundred and twenty-nine patients with histologically confirmed primary GISTs (diameter >2 cm) were enrolled. CT imaging features were reviewed. Tumour risk stratifications were determined according to the 2008 NIH criteria where GISTs were classified into four categories according to the tumour size, location, mitosis count, and tumour rupture. The association between risk stratifications and CT features was analyzed using univariate analysis, followed by multinomial logistic regression and receiver operating characteristic (ROC) curve analysis. CT imaging features including tumour margin, size, shape, tumour growth pattern, direct organ invasion, necrosis, enlarged vessels feeding or draining the mass (EVFDM), lymphadenopathy, and contrast enhancement pattern were associated with the risk stratifications, as determined by univariate analysis (P |
| Databáze: | OpenAIRE |
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