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NODESAFE 列线图:一种新的评分系统,用于预测非转移性肾细胞癌患者在肾切除术或淋巴结复发时的淋巴结受累情况。

NODESAFE Nomogram: A Novel Score System to Predict Lymph Node Involvement at the Time of Nephrectomy or Nodal Recurrence in Nonmetastatic Renal Cell Carcinoma.

机构信息

Department of Urology, UC San Diego Health System, San Diego, CA; Department of Urology, IRCCS Humanitas Clinical and Research Hospital, Rozzano, Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.

Department of Urology, UC San Diego Health System, San Diego, CA; Department of Urology, IRCCS Humanitas Clinical and Research Hospital, Rozzano, Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.

出版信息

Clin Genitourin Cancer. 2024 Dec;22(6):102232. doi: 10.1016/j.clgc.2024.102232. Epub 2024 Oct 11.

Abstract

OBJECTIVE

We sought to develop a preoperative nomogram called NODESAFE (NODE SAFEty) to predict nodal involvement (NI) at time of surgery or subsequent follow up in localized renal cell carcinoma (RCC), as the role of lymphadenectomy in localized RCC remains controversial.

METHODS

We conducted a multicenter retrospective analysis of RCC patients who underwent primary surgical resection. Patients with clinical metastasis at presentation were excluded. NI was defined as presence of histological RCC with lymphadenectomy at time of surgery, or subsequent development histologically proven NI. The dataset was divided into training (70%) and testing subsets to facilitate model evaluation which was constructed through a stepwise multivariable logistic regression (MLR) model. Accuracy was tested with receiver operator characteristic estimated area under the curve (AUC).

RESULTS

Total 3308 patients (2221 [67.1%] male) met inclusion criteria. During follow-up 25 patients (0.76 %) experienced nodal recurrence, and 22/25 were preoperatively classified as cN0. In our cohort, 112 (3.4%) patients had clinical lymphadenopathy preoperatively (cN1), and 34/112 were pN1. The following covariates were found to be statically significant on a MLR model: hypertension (Odds ratio [OR] 3.35, < .001), Charlson Comorbidity Index ≥ 5 (OR 1.93 P = .025), tumor size ≥ 6 cm (OR 2.63, P = .001), tumor necrosis at CT scan (OR 1.83, P = .036), cN1 (OR 5.59, P < .001) and CRP ≥ 8.5 mg/L (1.96, P = .018). Testing the prediction performance of the model in the validation set AUC of the model was 0.89. NODESAFE demonstrated a sensitivity of 83.9%, specificity of 86.1% and 99.1% negative predictive values using a 4% threshold probability.

CONCLUSION

Combining clinical features, serum biomarkers and radiographic findings, we developed a model capable of predicting NI with high degree of accuracy. NODESAFE may refine clinical decision making with respect to the performance of lymphadenectomy at the time of surgery, postsurgical surveillance, and spur consideration for adjuvant therapy.

摘要

目的

我们旨在开发一种名为 NODESAFE(NODE 安全性)的术前列线图,以预测局限性肾细胞癌(RCC)患者手术时或后续随访时的淋巴结受累(NI)情况,因为淋巴结清扫术在局限性 RCC 中的作用仍存在争议。

方法

我们对接受原发手术切除的 RCC 患者进行了多中心回顾性分析。排除有临床转移的患者。NI 定义为手术时存在有组织学 RCC 且有淋巴结清扫,或随后有组织学证实的 NI。数据集分为训练(70%)和测试子集,以方便通过逐步多变量逻辑回归(MLR)模型进行模型评估。通过估计接收者操作特征曲线下的面积(AUC)来测试准确性。

结果

共有 3308 名患者(2221 名[67.1%]男性)符合纳入标准。在随访期间,25 名患者(0.76%)发生了淋巴结复发,其中 22 名患者术前被分类为 cN0。在我们的队列中,112 名(3.4%)患者术前有临床淋巴结病(cN1),其中 34 名患者为 pN1。在 MLR 模型中,以下协变量被发现具有统计学意义:高血压(比值比[OR]3.35,<0.001)、Charlson 合并症指数≥5(OR 1.93,P=0.025)、肿瘤大小≥6cm(OR 2.63,P=0.001)、CT 扫描时肿瘤坏死(OR 1.83,P=0.036)、cN1(OR 5.59,P<0.001)和 CRP≥8.5mg/L(OR 1.96,P=0.018)。在验证集中测试模型的预测性能,模型的 AUC 为 0.89。NODESAFE 在使用 4%概率阈值时,灵敏度为 83.9%,特异性为 86.1%,阴性预测值为 99.1%。

结论

通过结合临床特征、血清生物标志物和影像学发现,我们开发了一种能够高度准确预测 NI 的模型。NODESAFE 可能会改进手术时、手术后监测时的淋巴结清扫术以及辅助治疗的决策。

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