基于 MRI 的 Node-RADS 对肾细胞癌区域淋巴结转移评估的诊断和预后价值。

IF 4.9 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Diagnostic and Interventional Imaging Pub Date : 2024-10-28 DOI:10.1016/j.diii.2024.10.005
Xu Bai, Cheng Peng, Baichuan Liu, Shaopeng Zhou, Haili Liu, Yijian Chen, Huiping Guo, Yuwei Hao, Xin Liu, Jian Zhao, Xiaohui Ding, Lin Li, Xu Zhang, Huiyi Ye, Xin Ma, Haiyi Wang
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引用次数: 0

摘要

目的:本研究旨在评估基于磁共振成像的结节报告和数据系统(Node-RADS)诊断区域淋巴结转移(RLNM)的能力,并估计其在肾细胞癌(RCC)患者中的预后意义:回顾性纳入2010年1月至2023年8月期间接受肾切除术和区域淋巴结清扫术的RCC患者。两名资深放射科医生使用基于 MRI 的 Node-RADS 对淋巴结进行一致评分。使用接收器操作特征曲线下面积(AUC)估算了基于 MRI 的 Node-RADS 诊断 RLNM 的性能,并与大小标准进行了比较。另外三名读者对所有病灶进行评分,以评估观察者之间的一致性。对无进展生存期和总生存期进行估算,并在低分(1-3)和高分(4-5)患者之间进行比较:共有216名RCC患者入选,其中包括58名RLNM患者。其中男性 157 人,女性 59 人,中位年龄 54 岁(范围:8-83 岁)。在诊断 RLNM 方面,与尺寸标准(分别为 0.88 [95 % CI: 0.83-0.94] 和 87.3 % [95 % CI: 81.1-92.1])相比,Node-RADS 的 AUC(0.93 [95 % 置信区间 (CI):0.87-0.97])更大,特异性(96.8 % [95 % CI:92.8-99.0])更高(分别为 P = 0.039 和 P <0.001)。三位读者的 Node-RADS 评分在观察者之间取得了很大的一致性(加权 κ,0.75 [95 % CI:0.69-0.80])。在中位 56 个月的随访期间,Node-RADS 评分高的患者的无进展生存期(P < 0.001)和总生存期(P < 0.001)均低于 Node-RADS 评分低的患者。在多变量Cox回归分析中,经调整混杂因素后,Node-RADS是一个与RCC预后相关的独立变量:基于磁共振成像的Node-RADS在检测RLNM方面表现突出,对RCC具有潜在的预后意义。
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Diagnostic and prognostic value of MRI-based Node-RADS for the assessment of regional lymph node metastasis in renal cell carcinoma.

Purpose: The purpose of this study was to assess the capabilities of MRI-based Node Reporting and Data System (Node-RADS) in diagnosing regional lymph node metastasis (RLNM) and to estimate its prognostic significance in patients with renal cell carcinomas (RCCs).

Materials and methods: Patients with RCC who underwent nephrectomy and regional lymph node dissection between January 2010 and August 2023 were retrospectively included. Two senior radiologists scored lymph nodes in consensus using MRI-based Node-RADS. The performance of MRI-based Node-RADS for the diagnosis of RLNM was estimated using area under receiver operating characteristic (AUC) curves and compared against size criteria. Three additional readers scored all lesions to assess interobserver agreement. Progression-free survival and overall survival were estimated and compared between patients with low (1-3) and high (4-5) scores.

Results: Overall, 216 patients with RCC were enrolled, including 58 with RLNM. There were 157 men and 59 women with a median age of 54 years (range: 8-83 years). Node-RADS showed larger AUC (0.93 [95 % confidence interval (CI): 0.87-0.97]) and higher specificity (96.8 % [95 % CI: 92.8-99.0]) compared to size criteria (0.88 [95 % CI: 0.83-0.94] and 87.3 % [95 % CI: 81.1-92.1], respectively) for the diagnosis of RLNM (P = 0.039 and P < 0.001, respectively). Substantial interobserver agreement in Node-RADS scoring was obtained between the three readers (weighted κ, 0.75 [95 % CI: 0.69-0.80]). During a median follow-up of 56 months, patients with high Node-RADS score experienced poorer progression-free survival (P < 0.001) and overall survival (P < 0.001) than those with low Node-RADS score. At multivariable Cox regression analysis, Node-RADS was an independent variable associated with RCC prognosis after adjustment for confounders.

Conclusions: The MRI-based Node-RADS demonstrates notable performance in detecting RLNM and showed potential prognostic significance for RCCs.

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来源期刊
Diagnostic and Interventional Imaging
Diagnostic and Interventional Imaging Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
8.50
自引率
29.10%
发文量
126
审稿时长
11 days
期刊介绍: Diagnostic and Interventional Imaging accepts publications originating from any part of the world based only on their scientific merit. The Journal focuses on illustrated articles with great iconographic topics and aims at aiding sharpening clinical decision-making skills as well as following high research topics. All articles are published in English. Diagnostic and Interventional Imaging publishes editorials, technical notes, letters, original and review articles on abdominal, breast, cancer, cardiac, emergency, forensic medicine, head and neck, musculoskeletal, gastrointestinal, genitourinary, interventional, obstetric, pediatric, thoracic and vascular imaging, neuroradiology, nuclear medicine, as well as contrast material, computer developments, health policies and practice, and medical physics relevant to imaging.
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