| Autor: |
Dan Zhang, Xiaojiao Li, Liang Lv, Jiayi Yu, Chao Yang, Hua Xiong, Ruikun Liao, Bi Zhou, Xianlong Huang, Xiaoshuang Liu, Zhuoyue Tang |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
BMC Medical Imaging, Vol 20, Iss 1, Pp 1-9 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
1471-2342 |
| DOI: |
10.1186/s12880-020-00442-x |
| Popis: |
Abstract Background Our study aims to develop and validate diagnostic models of the common parotid tumors based on whole-volume CT textural image biomarkers (IBMs) in combination with clinical parameters at a single institution. Methods The study cohort was composed of 51 pleomorphic adenoma (PA) patients and 42 Warthin tumor (WT) patients. Clinical parameters and conventional image features were scored retrospectively and textural IBMs were extracted from CT images of arterial phase. Independent-samples t test or Chi-square test was used for evaluating the significance of the difference among clinical parameters, conventional CT image features, and textural IBMs. The diagnostic performance of univariate model and multivariate model was evaluated via receiver operating characteristic (ROC) curve and area under ROC curve (AUC). Results Significant differences were found in clinical parameters (age, gender, disease duration, smoking), conventional image features (site, maximum diameter, time-density curve, peripheral vessels sign) and textural IBMs (mean, uniformity, energy, entropy) between PA group and WT group (P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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