A Predictive Scoring Model for Short-term Local Recurrent Nasopharyngeal Carcinoma Based on Magnetic Resonance Imaging
To predict the early identification of recurrence based on magnetic resonance imaging (MRI) in nasopharyngeal cancer (NPC) patients. The clinical and MRI data of 215 patients with local recurrent NPC were retrospectively reviewed. Logistic regression analysis was performed to distinguish the indepen...
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Veröffentlicht in: | Cancer biotherapy & radiopharmaceuticals 2019-03, Vol.34 (2), p.76-84 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | To predict the early identification of recurrence based on magnetic resonance imaging (MRI) in nasopharyngeal cancer (NPC) patients.
The clinical and MRI data of 215 patients with local recurrent NPC were retrospectively reviewed. Logistic regression analysis was performed to distinguish the independent risk factors for the short-term (less than 24 months) local recurrence of NPC. The predictive score model was based on the regression coefficients of significant independent variables.
Residual disease in the nasopharyngeal cavity (NC), masticator space invasion (MSI), skull base bone erosion (SBBE), and MRI-detected cranial nerve invasion (MDCNI) were all significant independent risk factors for the short-term recurrence of NPC (p |
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ISSN: | 1084-9785 1557-8852 |
DOI: | 10.1089/cbr.2018.2531 |