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Prognostic Role of Diffusion Weighted and Dynamic Contrast-enhanced MRI in Loco-regionally Advanced Head and Neck Cancer Treated with Concomitant Chemoradiotherapy
BACKGROUND: In the study, the value of pre-treatment dynamic contrast-enhanced (DCE) and diffusion weighted (DW) MRI-derived parameters as well as their changes early during treatment was evaluated for predicting disease-free survival (DFS) and overall survival (OS) in patients with locoregionally a...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sciendo
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6411028/ https://www.ncbi.nlm.nih.gov/pubmed/30840595 http://dx.doi.org/10.2478/raon-2019-0010 |
Sumario: | BACKGROUND: In the study, the value of pre-treatment dynamic contrast-enhanced (DCE) and diffusion weighted (DW) MRI-derived parameters as well as their changes early during treatment was evaluated for predicting disease-free survival (DFS) and overall survival (OS) in patients with locoregionally advanced head and neck squamous carcinoma (HNSCC) treated with concomitant chemoradiotherapy (cCRT) with cisplatin. PATIENTS AND METHODS: MRI scans were performed in 20 patients with locoregionally advanced HNSCC at baseline and after 10 Grays (Gy) of cCRT. Tumour apparent diffusion coefficient (ADC) and DCE parameters (volume transfer constant [K(trans)], extracellular extravascular volume fraction [v(e)], and plasma volume fraction [V(p)]) were measured. Relative changes in parameters from baseline to 10 Gy were calculated. Univariate and multivariate Cox regression analysis were conducted. Receiver operating characteristic (ROC) curve analysis was employed to identify parameters with the best diagnostic performance. RESULTS: None of the parameters was identified to predict for DFS. On univariate analysis of OS, lower pre-treatment ADC (p = 0.012), higher pre-treatment K(trans) (p = 0.026), and higher reduction in K(trans) (p = 0.014) from baseline to 10 Gy were identified as significant predictors. Multivariate analysis identified only higher pre-treatment K(trans) (p = 0.026; 95% CI: 0.000–0.132) as an independent predictor of OS. At ROC curve analysis, pre-treatment K(trans) yielded an excellent diagnostic accuracy (area under curve [AUC] = 0.95, sensitivity 93.3%; specificity 80 %). CONCLUSIONS: In our group of HNSCC patients treated with cisplatin-based cCRT, pre-treatment K(trans) was found to be a good predictor of OS. |
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