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Textural radiomic features and time-intensity curve data analysis by dynamic contrast-enhanced MRI for early prediction of breast cancer therapy response: preliminary data.
European Radiology Experimental ( IF 3.7 ) Pub Date : 2020-02-05 , DOI: 10.1186/s41747-019-0141-2 Roberta Fusco 1 , Vincenza Granata 1 , Francesca Maio 2 , Mario Sansone 3 , Antonella Petrillo 1
中文翻译:
动态对比增强MRI的质地放射学特征和时间强度曲线数据分析,可早期预测乳腺癌治疗反应:初步数据。
更新日期:2020-02-05
European Radiology Experimental ( IF 3.7 ) Pub Date : 2020-02-05 , DOI: 10.1186/s41747-019-0141-2 Roberta Fusco 1 , Vincenza Granata 1 , Francesca Maio 2 , Mario Sansone 3 , Antonella Petrillo 1
Affiliation
Background
To investigate the potential of semiquantitative time-intensity curve parameters compared to textural radiomic features on arterial phase images by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for early prediction of breast cancer neoadjuvant therapy response.Methods
A retrospective study of 45 patients subjected to DCE-MRI by public datasets containing examination performed prior to the start of treatment and after the treatment first cycle (‘QIN Breast DCE-MRI’ and ‘QIN-Breast’) was performed. In total, 11 semiquantitative parameters and 50 texture features were extracted. Non-parametric test, receiver operating characteristic analysis with area under the curve (ROC-AUC), Spearman correlation coefficient, and Kruskal-Wallis test with Bonferroni correction were applied.Results
Fifteen patients with pathological complete response (pCR) and 30 patients with non-pCR were analysed. Significant differences in median values between pCR patients and non-pCR patients were found for entropy, long-run emphasis, and busyness among the textural features, for maximum signal difference, washout slope, washin slope, and standardised index of shape among the dynamic semiquantitative parameters. The standardised index of shape had the best results with a ROC-AUC of 0.93 to differentiate pCR versus non-pCR patients.Conclusions
The standardised index of shape could become a clinical tool to differentiate, in the early stages of treatment, responding to non-responding patients.中文翻译:
动态对比增强MRI的质地放射学特征和时间强度曲线数据分析,可早期预测乳腺癌治疗反应:初步数据。