Radiation Oncology, Department of Translational Research, University of Pisa, Pisa, Italy.
Radiation Oncology, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
Anticancer Res. 2023 Feb;43(2):781-788. doi: 10.21873/anticanres.16218.
BACKGROUND/AIM: The present study aimed to investigate radiomics features derived from magnetic resonance imaging (MRI) in patients with locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy (CRT).
We retrospectively evaluated data of 53 patients (32 males, 21 females) with T3/T4 or N+ rectal cancer who underwent MRI before and after CRT. Twenty-seven texture radiomics features were extracted from regions of interest, delimiting the tumor on T2-weighted images.
All 27 radiomics features extracted before CRT showed a statistically significant association with the tumor regression grade (TRG) (p<0.05), whereas, after CRT, only the Cluster Prominence value was the only variable to predict TRG (p=0.037, r=0.291).
All 27 features extracted before CRT were able to predict response to CRT and Cluster Prominence continued to be statistically significant even after CRT. The impact of radiomics features derived from MRI could be further investigated in patients with locally advanced rectal cancer.
背景/目的:本研究旨在探讨接受新辅助放化疗(CRT)治疗的局部晚期直肠癌患者的磁共振成像(MRI)衍生的放射组学特征。
我们回顾性评估了 53 名 T3/T4 或 N+直肠癌患者的 MRI 数据,这些患者在 CRT 前后均接受了 MRI 检查。从 T2 加权图像上肿瘤的感兴趣区域提取了 27 个纹理放射组学特征。
在 CRT 前提取的所有 27 个放射组学特征均与肿瘤消退分级(TRG)具有统计学显著相关性(p<0.05),而在 CRT 后,只有聚类突出值是唯一能够预测 TRG 的变量(p=0.037,r=0.291)。
在 CRT 前提取的所有 27 个特征均能够预测 CRT 的反应,而聚类突出值在 CRT 后仍然具有统计学意义。MRI 衍生的放射组学特征的影响可以在局部晚期直肠癌患者中进一步研究。