| 王琳琳,闫铄,李晓婷,史燕杰,孙应实.高分辨MRI预测食管鳞癌经根治性放化疗后预后[J].中国医学影像技术,2025,41(1):94~98 |
| 高分辨MRI预测食管鳞癌经根治性放化疗后预后 |
| High-resolution MRI for predicting prognosis of esophageal squamous cell carcinoma after definitive chemoradiotherapy |
| 投稿时间：2024-07-15 修订日期：2024-11-11 |
| DOI：10.13929/j.issn.1003-3289.2025.01.020 |
| 中文关键词: 食管鳞状细胞癌 磁共振成像 放化疗 疾病进展 |
| 英文关键词:esophageal squamous cell carcinoma magnetic resonance imaging chemoradiotherapy disease progression |
| 基金项目:国家重点研发计划(2023YFC3402805)。 |
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| 中文摘要: |
| 目的 观察基于高分辨MRI构建的Cox比例风险回归模型预测食管鳞癌(ESCC)经根治性放化疗(dCRT)后进展风险的价值。方法 回顾性纳入30例接受dCRT的ESCC患者,基于治疗前高分辨MRI获取原发肿瘤及判定转移淋巴结的影像学定量及定性指标;记录患者无进展生存期(PFS)。以MRI指标建立Cox比例风险回归模型预测进展风险,根据中位估计值进行高、低风险分层,比较高、低进展风险患者PFS率。结果 MRI所示肿瘤厚度[HR(95%CI)=1.210(1.025,1.429),P=0.024]、肿瘤与主动脉关系[HR(95%CI)=4.275(1.064,17.168),P=0.041]及延迟期淋巴结信号变化率[HR(95%CI)=0.049(0.007,0.362),P=0.003]均为ESCC经dCRT后PFS的独立预测因素;Cox比例风险回归模型预测结果显示高风险者的PFS率低于低风险者(P＜0.05)。结论 高分辨率MRI可预测ESCC经dCRT后预后。 |
| 英文摘要: |
| Objective To observe the value of Cox proportional hazards regression model constructed based on high-resolution MRI for predicting the risk of esophageal squamous cell carcinoma (ESCC) progression after definitive chemoradiotherapy (dCRT). Methods Thirty ESCC patients who underwent dCRT were retrospectively enrolled. Quantitative and qualitative indicators of primary tumor and imaging-defined metastatic lymph nodes were analyzed based on pre-treatment high-resolution MRI. The progression-free survival (PFS) of patients were recorded. A Cox proportional hazards regression model was established to predict the risk of tumor progression based on MRI indices, and the risks of tumor progression were stratified into high and low according to the median prediction. PFS rates were compared between patients with high or low risk of tumor progression. Results Tumor thickness (HR[95%CI]=1.210[1.025, 1.429], P=0.024), relationship between the tumor and aorta (HR[95%CI]=4.275[1.064, 17.168], P=0.041) and lymph node signal change rate on delayed phase pre-treatment MRI (HR[95%CI]=0.049[0.007, 0.362], P=0.003) were all independent factors for predicting PFS. Based on Cox proportional hazards regression model and its predicted value, PFS rate in high risk patients was lower than that in low risk patients (P＜0.05). Conclusion High-resolution MRI could be used to predict prognosis of ESCC after dCRT. |
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