4.7 Article

Histogram analysis of quantitative parameters from synthetic MRI: correlations with prognostic factors in nasopharyngeal carcinoma

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EUROPEAN RADIOLOGY
卷 33, 期 8, 页码 5344-5354

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SPRINGER
DOI: 10.1007/s00330-023-09553-9

关键词

Nasopharyngeal carcinoma; Magnetic resonance imaging; Prognosis

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Our study found that histogram parameters derived from synthetic magnetic resonance imaging (SyMRI) were positively correlated with prognostically relevant factors in nasopharyngeal carcinoma (NPC). These results suggest that these histogram parameters have potential value in assessing the expression levels of Ki-67 and EGFR, histological type, EBV DNA level, EA-IgA, and tumor stage in NPC.
Objectives To evaluate the correlation between histogram parameters derived from synthetic magnetic resonance imaging (SyMRI) and prognostically relevant factors in nasopharyngeal carcinoma (NPC). Methods Fifty-nine consecutive NPC patients were prospectively enrolled. Quantitative parameters (T1, T2, and proton density (PD)) were obtained by outlining the three-dimensional volume of interest (VOI) of all lesions. Then, histogram analysis of these quantitative parameters was performed and the correlations with prognostically relevant factors were assessed. By choosing appropriate cutoff, we divided the sample into two groups. Independent-samples t test/Mann-Whitney U test was used and ROC curve analysis was further processed. Results Histogram parameters of the T1, T2, and PD maps were positively correlated with the Ki-67 expression levels, and PD_mean was the most representative parameter (AUC: 0.861). The PD map exhibited good performance in differentiating epidermal growth factor receptor (EGFR) expression levels (AUC: 0.706 similar to 0.732) and histological type (AUC: 0.650 similar to 0.660). T2_minimum was highest correlated with Epstein-Barr virus (EBV) DNA levels (r = - 0.419), and PD_75th percentile exhibited the highest performance in distinguishing positive and negative EBV DNA groups (AUC: 0.721). T1_minimum was statistically correlated with EA-IgA expression (r = - 0.313). Additionally, several histogram parameters were negatively correlated with tumor stage (T stage: r = - 0.259 similar to - 0.301; N stage: r = - 0.348 similar to - 0.456; clinical stage: r = - 0.419). Conclusions Histogram parameters of SyMRI could reflect tissue intrinsic characteristics and showed potential value in assessing the Ki-67 and EGFR expression levels, histological type, EBV DNA level, EA-IgA, and tumor stage.

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