| Autor: |
Wu-tong Ju, Tong-chao Zhao, Ying Liu, Yi-ran Tan, Min-jun Dong, Qi Sun, Li-zhen Wang, Jiang Li, Lai-ping Zhong |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
Cancer Imaging, Vol 19, Iss 1, Pp 1-9 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
1470-7330 |
| DOI: |
10.1186/s40644-019-0190-z |
| Popis: |
Abstract Background To evaluate the computed tomographic features and create a prediction model for clinical diagnosis of adenoid cystic carcinoma (ACC) in the palate with intact mucosa. Methods From March 2016 to May 2018, 102 patients with palatal tumors and intact mucosa, including 28 patients with a pathological diagnosis of ACC after surgery, were enrolled in this study. The patients’ clinical symptoms, computed tomographic features and pathological diagnoses were recorded and analyzed. Independent predictors of ACC were determined by using univariate analysis and multivariate logistic regression, and the discrimination and calibration of the prediction model was evaluated, and internal validation was performed. Results Univariate analysis of patients showed that ACC patients were more likely than non-ACC patients to be older (P = 0.019); to have palatine bone destruction (P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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