De Bari Berardino, Lefevre Loriane, Henriques Julie, Gatta Roberto, Falcoz Antoine, Mathieu Pierre, Borg Christophe, Dinapoli Nicola, Boulahdour Hatem, Boldrini Luca, Valentini Vincenzo, Vernerey Dewi
Radiation Oncology Department, Neuchâtel Hospital Network, CH-2300 La Chaux-de-Fonds, Switzerland.
Radiation Oncology Department, University Hospital of Besançon, F-25000 Besancon, France.
Cancers (Basel). 2022 Aug 22;14(16):4043. doi: 10.3390/cancers14164043.
Background: We evaluated the value of pre-treatment positron-emission tomography−computed tomography (PET-CT)-based radiomic features in predicting the locoregional progression-free survival (LR-PFS) of patients with inoperable or unresectable oesophageal cancer. Material and Methods: Forty-six patients were included and 230 radiomic parameters were extracted. After a principal component analysis (PCA), we identified the more robust radiomic parameters, and we used them to develop a heatmap. Finally, we correlated these radiomic features with LR-PFS. Results: The median follow-up time was 17 months. The two-year LR-PFS and PFS rates were 35.9% (95% CI: 18.9−53.3) and 21.6% (95%CI: 10.0−36.2), respectively. After the correlation analysis, we identified 55 radiomic parameters that were included in the heatmap. According to the results of the hierarchical clustering, we identified two groups of patients presenting statistically different median LR-PFSs (22.8 months vs. 9.9 months; HR = 2.64; 95% CI 0.97−7.15; p = 0.0573). We also identified two radiomic features (“F_rlm_rl_entr_per” and “F_rlm_2_5D_rl_entr”) significantly associated with LR-PFS. Patients expressing a “F_rlm_2_5D_rl_entr” of <3.3 had a better median LR- PFS (29.4 months vs. 8.2 months; p = 0.0343). Patients presenting a “F_rlm_rl_entr_per” of <4.7 had a better median LR-PFS (50.4 months vs. 9.9 months; p = 0.0132). Conclusion: We identified two radiomic signatures associated with a lower risk of locoregional relapse after CRT.
我们评估了基于治疗前正电子发射断层扫描-计算机断层扫描（PET-CT）的放射组学特征在预测不可手术或无法切除的食管癌患者局部区域无进展生存期（LR-PFS）方面的价值。
纳入46例患者，提取230个放射组学参数。经过主成分分析（PCA）后，我们确定了更稳健的放射组学参数，并用于制作热图。最后，我们将这些放射组学特征与LR-PFS进行关联。
中位随访时间为17个月。两年LR-PFS率和PFS率分别为35.9%（95%CI：18.9−53.3）和21.6%（95%CI：10.0−36.2）。经过相关性分析，我们确定了55个纳入热图的放射组学参数。根据层次聚类结果，我们确定了两组患者，其LR-PFS中位数在统计学上存在差异（22.8个月对9.9个月；HR = 2.64；95%CI 0.97−7.15；p = 0.0573）。我们还确定了两个与LR-PFS显著相关的放射组学特征（“F_rlm_rl_entr_per”和“F_rlm_2_5D_rl_entr”）。“F_rlm_2_5D_rl_entr”<3.3的患者具有更好的LR-PFS中位数（29.4个月对8.2个月；p = 0.0343）。“F_rlm_rl_entr_per”<4.7的患者具有更好的LR-PFS中位数（50.4个月对9.9个月；p = 0.0132）。
我们确定了两个与CRT后局部区域复发风险较低相关的放射组学特征。
