Hou Ya-Jun, Sang Zi-Tong, Li Qiong, Feng Qiu-Xia, Wu Jing, Nickel Marcel Dominik, Hsu Yi-Cheng, Wang Wei-Zhi, Wu Chen-Jiang, Xu Hao, Liu Xi-Sheng
Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Department of Pathology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Ann Surg Oncol. 2025 May;32(5):3382-3391. doi: 10.1245/s10434-025-16972-z. Epub 2025 Feb 3.
This study tested the diagnostic accuracy of multiparametric magnetic resonance imaging (mpMRI) in restaging locally advanced gastric cancer after neoadjuvant therapy (NAT) using pathologic T stage (ypT) and pathologic N stage (ypN) as the reference standard.
Between August 2022 and September 2023, the study enrolled a prospective cohort of 70 gastric cancer patients who underwent NAT and subsequent surgical resection. MRI procedures, including DLSB T2-weighted imaging (T2WI), ZOOMit diffusion-weighted imaging (DWI), and XD-VIBE dynamic contrast-enhanced imaging (DCE), were performed after NAT and before surgery. Four abdominal radiologists independently assigned radiologic T stage (yrT) and radiologic N stage (yrN) based on individual and combined sequences. Inter-reader agreement was quantified using Kendall's coefficient. Diagnostic accuracy was determined by comparing MRI assessments and pathologic outcomes, with pairwise comparisons analyzed via the McNemar test. Subgroup analysis evaluated the performance in identifying good responders to NAT.
Inter-reader agreement was almost perfect for T restaging and substantial for N restaging. Diagnostic accuracy for T restaging was 0.432 using DLSB-T2WI, 0.586 using ZOOMit DWI, 0.557 using XD-VIBE DCE, and 0.586 using mpMRI. The accuracy demonstrated by DWI, DCE and mpMRI was superior to that of T2WI (all P < 0.05). For N restaging, the accuracy of the mpMRI protocol was 0.443. Notably, mpMRI achieved an AUC of 0.879 (95% confidence interval 0.835-0.915) for differentiating ypT0-1 tumors.
Advanced mpMRI strategies can serve as a valuable tool for restaging gastric cancer after NAT. Accurately differentiating good responders to neoadjuvant therapy through mpMRI holds significant clinical implications for personalized treatment strategies and improved patient outcomes.
本研究使用病理T分期(ypT)和病理N分期(ypN)作为参考标准,测试了多参数磁共振成像(mpMRI)在新辅助治疗(NAT)后对局部晚期胃癌进行再分期的诊断准确性。
在2022年8月至2023年9月期间,该研究纳入了70例接受NAT及后续手术切除的胃癌患者的前瞻性队列。在NAT后手术前进行了MRI检查,包括DLSB T2加权成像(T2WI)、ZOOMit扩散加权成像(DWI)和XD-VIBE动态对比增强成像(DCE)。四名腹部放射科医生根据单个序列和联合序列独立分配放射学T分期(yrT)和放射学N分期(yrN)。使用肯德尔系数对阅片者间的一致性进行量化。通过比较MRI评估结果和病理结果来确定诊断准确性,并通过McNemar检验进行成对比较。亚组分析评估了在识别对NAT反应良好的患者方面的表现。
阅片者间在T分期再分期方面的一致性几乎完美,在N分期再分期方面的一致性较高。使用DLSB-T2WI进行T分期再分期的诊断准确性为0.432,使用ZOOMit DWI为0.586,使用XD-VIBE DCE为0.557,使用mpMRI为0.586。DWI、DCE和mpMRI显示的准确性优于T2WI(所有P<0.05)。对于N分期再分期,mpMRI方案的准确性为0.443。值得注意的是,mpMRI在区分ypT0-1肿瘤方面的曲线下面积(AUC)为0.879(95%置信区间0.835-0.915)。
先进的mpMRI策略可作为NAT后胃癌再分期的有价值工具。通过mpMRI准确区分对新辅助治疗反应良好的患者,对个性化治疗策略和改善患者预后具有重要的临床意义。