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| 论文编号: |
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| 第一作者所在部门: |
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| 中文论文题目: |
Radiomic features predict Ki-67 expression level and survival in lower grade gliomas
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| 英文论文题目: |
Radiomic features predict Ki-67 expression level and survival in lower grade gliomas
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| 论文题目英文: |
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| 作者: |
Li, Yiming
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| 论文出处: |
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| 刊物名称: |
JOURNAL OF NEURO-ONCOLOGY
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| 年: |
2017
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| 卷: |
135 |
| 期: |
2 |
| 页: |
317-324 |
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| 收录类别: |
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| 影响因子: |
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| 摘要: |
To investigate the radiomic features associated with Ki-67 expression in lower grade gliomas and assess the prognostic values of these features. Patients with lower grade gliomas (n = 117) were randomly assigned into the training (n = 78) and validation (n = 39) sets. A total of 431 radiological features were extracted from each patient. Differential radiological features between the low and high Ki-67 expression groups were screened by significance analysis of microarrays. Then, generalized linear analysis was performed to select features that could predict the Ki-67 expression level. Predictive efficiencies were further evaluated in the validation set. Cox regression analysis was performed to investigate the prognostic values of Ki-67 expression level and Ki-67-related radiological features. A group of nine radiological features were screened for prediction of Ki-67 expression status; these achieved accuracies of 83.3% and 88.6% (areas under the curves, 0.91 and 0.93) in the training and validation sets, respectively. Of these features, only spherical disproportion (SD) was found to be a prognostic factor. Patients in the high SD group exhibited worse outcomes in the whole cohort (overall survival, p < 0.0001; progression-free survival, p < 0.0001). Ki-67 expression level and SD were independent prognostic factors in the multivariate Cox regression analysis. This study identified a radiomic signature for prediction of Ki-67 expression level as well as a prognostic radiological feature in patients with lower grade gliomas. |
| 英文摘要: |
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