Department of Experimental and Clinical Biomedical Sciences, Radiodiagnostic Unit n. 2, University of Florence - Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134, Florence, Italy.
Department of Information Engineering, University of Florence, 50139, Florence, Italy.
Radiol Med. 2023 Jul;128(7):839-852. doi: 10.1007/s11547-023-01653-2. Epub 2023 Jun 19.
Identifying MRI texture parameters able to distinguish inflammation, fibrosis, and residual cancer in patients with naso-oropharynx carcinoma after radiochemotherapy (RT-CHT).
In this single-centre, observational, retrospective study, texture analysis was performed on ADC maps and post-gadolinium T1 images of patients with histological diagnosis of naso-oropharyngeal carcinoma treated with RT-CHT. An initial cohort of 99 patients was selected; 57 of them were later excluded. The final cohort of 42 patients was divided into 3 groups (inflammation, fibrosis, and residual cancer) according to MRI, 18F-FDG-PET/CT performed 3-4 months after RT-CHT, and biopsy. Pre-RT-CHT lesions and the corresponding anatomic area post-RT-CHT were segmented with 3D slicer software from which 107 textural features were derived. T-Student and Wilcoxon signed-rank tests were performed, and features with p-value < 0.01 were considered statistically significant. Cut-off values-obtained by ROC curves-to discriminate post-RT-CHT non-tumoural changes from residual cancer were calculated for the parameters statistically associated to the diseased status at follow-up.
Two features-Energy and Grey Level Non-Uniformity-were statistically significant on T1 images in the comparison between 'positive' (residual cancer) and 'negative' patients (inflammation and fibrosis). Energy was also found to be statistically significant in both patients with fibrosis and residual cancer. Grey Level Non-Uniformity was significant in the differentiation between residual cancer and inflammation. Five features were statistically significant on ADC maps in the differentiation between 'positive' and 'negative' patients. The reduction in values of such features between pre- and post-RT-CHT was correlated with a good response to therapy.
Texture analysis on post-gadolinium T1 images and ADC maps can differentiate residual cancer from fibrosis and inflammation in early follow-up of naso-oropharyngeal carcinoma treated with RT-CHT.
在接受放化疗(RT-CHT)后的鼻口咽癌患者中,识别能够区分炎症、纤维化和残留癌的 MRI 纹理参数。
在这项单中心、观察性、回顾性研究中,对接受 RT-CHT 治疗的组织学诊断为鼻口咽癌患者的 ADC 图和钆后 T1 图像进行纹理分析。选择了 99 名患者的初始队列,其中 57 名患者后来被排除在外。最终的 42 名患者队列根据 MRI、RT-CHT 后 3-4 个月进行的 18F-FDG-PET/CT 和活检结果分为炎症、纤维化和残留癌三组。使用 3D slicer 软件对 RT-CHT 前病变和相应的 RT-CHT 后解剖区域进行分割,从中提取了 107 个纹理特征。对 T 检验和 Wilcoxon 符号秩检验进行了分析,p 值<0.01 的特征被认为具有统计学意义。对于与随访时疾病状态相关的参数,通过 ROC 曲线计算了区分 RT-CHT 后非肿瘤性改变与残留癌的截断值。
在“阳性”(残留癌)和“阴性”(炎症和纤维化)患者之间的 T1 图像比较中,两个特征-能量和灰度不均匀性在统计学上是显著的。在纤维化和残留癌患者中,能量也被发现具有统计学意义。灰度不均匀性在残留癌和炎症的鉴别中具有统计学意义。在“阳性”和“阴性”患者之间的 ADC 图鉴别中,有 5 个特征在统计学上是显著的。RT-CHT 前后这些特征值的降低与治疗反应良好相关。
在接受 RT-CHT 治疗的鼻口咽癌早期随访中,对钆后 T1 图像和 ADC 图进行纹理分析可以区分残留癌、纤维化和炎症。