Preoperative Prediction of Lymph Node Status in Oral Squamous Cell Carcinoma: Value of Quantitative Dual-Energy CT Parameters.

IF 1.9 3区医学 Q2 DENTISTRY, ORAL SURGERY & MEDICINE

Oral Surgery Oral Medicine Oral Pathology Oral Radiology Pub Date : 2025-08-19 DOI:10.1016/j.oooo.2025.08.005

Fengqiong Huang, Xiaohua Ban, Yusong Jiang, Guoxiong Lu, Fang Zhang

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引用次数: 0

Abstract

Objectives: The objective of this study was to explore whether parameters of dual-energy computed tomography (DECT) could help evaluate the status of cervical lymph nodes (LNs) in patients with oral squamous cell carcinoma (OSCC).

Study design: Pathological and DECT parameters of patients with OSCC who underwent cervical lymph node dissection from December 2021 to December 2022 were collected. Quantitative DECT parameters of the primary lesions, including the slope of the spectral Hounsfield unit curve (λ_HU), iodine concentration (IC), electron density (Rho), normalized iodine concentration (NIC), and effective atomic number (Z_eff), were measured between patients with different lymph node status (the presence of LN metastasis, lymph node ratio [LNR], and lymph node burden [LNB]). The receiver operating characteristic curves and logistic regression analysis were used to evaluate the diagnostic performance and the independent parameters, respectively.

Results: The independent predictor for the detection of LN metastasis was λ_HU in venous phase, with an area under the curve (AUC) of 0.812. The mean precontrast Z_eff was higher in the high metastatic LNB group than the low metastatic LNB group. The precontrast Z_eff was the independent predictor of high LNR with an AUC of 0.726.

Conclusions: DECT quantitative parameters of the primary lesions can facilitate the evaluation of cervical LN status.

查看原文本刊更多论文

口腔鳞状细胞癌术前淋巴结状态预测：定量双能CT参数的价值。

目的：本研究的目的是探讨双能计算机断层扫描（DECT）参数是否有助于评估口腔鳞状细胞癌（OSCC）患者颈部淋巴结（LNs）的状态。研究设计：收集2021年12月至2022年12月行颈淋巴结清扫术的OSCC患者的病理和DECT参数。测定不同淋巴结状态（淋巴结有无转移、淋巴结比例（LNR）、淋巴结负荷（LNB））患者原发病灶的DECT定量参数，包括光谱Hounsfield单位曲线斜率（λHU）、碘浓度（IC）、电子密度（Rho）、归一化碘浓度（NIC）、有效原子序数（Zeff）。采用受试者工作特征曲线和logistic回归分析分别评价诊断效能和独立参数。结果：静脉期检测LN转移的独立预测因子为λHU，曲线下面积（AUC）为0.812。高转移LNB组的平均对比前Zeff高于低转移LNB组。预对比Zeff是高LNR的独立预测因子，AUC为0.726。结论：DECT原发病变的定量参数有助于评价颈部LN的状态。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Oral Surgery Oral Medicine Oral Pathology Oral Radiology DENTISTRY, ORAL SURGERY & MEDICINE-

CiteScore

3.80

自引率

6.90%

发文量

1217

审稿时长

2-4 weeks

期刊介绍： Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology is required reading for anyone in the fields of oral surgery, oral medicine, oral pathology, oral radiology or advanced general practice dentistry. It is the only major dental journal that provides a practical and complete overview of the medical and surgical techniques of dental practice in four areas. Topics covered include such current issues as dental implants, treatment of HIV-infected patients, and evaluation and treatment of TMJ disorders. The official publication for nine societies, the Journal is recommended for initial purchase in the Brandon Hill study, Selected List of Books and Journals for the Small Medical Library.