Niu Yue, Yu Sanqiang, Chen Peng, Tang Mengjie, Wen Lu, Sun Yan, Yang Yanhui, Zhang Yi, Fu Yi, Lu Qiang, Luo Tao, Yu Xiaoping
Department of Diagnostic Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Yuelu District, 283 Tongzipo Road, Changsha, 410013, Hunan, China.
Department of Radiology, Third Affiliated Hospital of Soochow University , Changzhou, 213000, Jiangsu, China.
Abdom Radiol (NY). 2025 Jan;50(1):38-48. doi: 10.1007/s00261-024-04497-0. Epub 2024 Jul 24.
To explore the diagnostic performance of the Node-RADS scoring system on preoperative assessment of mesorectal lymph node metastasis (LNM) status in rectal cancer, in comparison with the ESGAR category and size of lymph node (LN).
Preoperative clinical and MRI data of 154 rectal adenocarcinoma patients treated with radical resection surgery were retrospectively analyzed. The differences in the clinical, pathological and imaging characteristics between the pN- and pN + groups were surveyed. The correlations of Node-RADS score and ESGAR category to pN stage, LNM number and lymph node ratio (LNR) were investigated. The performances on assessing pathological LNM were compared among individual approaches. A nomogram combined the imaging and clinical features was also established and evaluated.
Significant differences in CEA, tumor maximum diameter, tumor location, LN short-axis diameter, Node-RADS score and ESGAR category were found between the pN- and pN + groups. Node-RADS correlated significantly with pN stage, LNM number, and LNR (r = 0.665, 0.685, and 0.675, p < 0.001). Node-RADS had the highest AUC (0.862) for predicting pN + status, surpassing ESGAR (AUC = 0.797, p = 0.040) and LN size (AUC = 0.762, p = 0.015). The nomogram had the best diagnostic performance (AUC = 0.901), significantly outperforming Node-RADS alone (p = 0.037).
The Node-RADS scoring system is comparable to the ESGAR category and surpasses short-axis diameter in preoperatively predicting LNM in rectal cancer. Integrating imaging and clinical features will lead to an enhancement in diagnostic performance. Moreover, a clear relationship was demonstrated between the Node-RADS score and the quantity-dependent pathological characteristics of LNM.
与ESGAR分类和淋巴结(LN)大小相比,探讨Node-RADS评分系统在直肠癌术前评估中直肠系膜淋巴结转移(LNM)状态的诊断性能。
回顾性分析154例行根治性切除手术的直肠腺癌患者的术前临床和MRI数据。调查pN-组和pN+组之间临床、病理和影像特征的差异。研究Node-RADS评分和ESGAR分类与pN分期、LNM数量和淋巴结比率(LNR)的相关性。比较各方法在评估病理LNM方面的性能。还建立并评估了一个结合影像和临床特征的列线图。
pN-组和pN+组在癌胚抗原(CEA)、肿瘤最大直径、肿瘤位置、LN短轴直径、Node-RADS评分和ESGAR分类方面存在显著差异。Node-RADS与pN分期、LNM数量和LNR显著相关(r = 0.665、0.685和0.675,p < 0.001)。Node-RADS在预测pN+状态方面具有最高的曲线下面积(AUC,0.862),超过ESGAR(AUC = 0.797,p = 0.040)和LN大小(AUC = 0.762,p = 0.015)。列线图具有最佳的诊断性能(AUC = 0.901),显著优于单独的Node-RADS(p = 0.037)。
在术前预测直肠癌LNM方面,Node-RADS评分系统与ESGAR分类相当,且优于短轴直径。整合影像和临床特征将提高诊断性能。此外,还证明了Node-RADS评分与LNM的数量依赖性病理特征之间存在明确的关系。