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头颈部癌双侧淋巴扩散的概率模型。

A probabilistic model of bilateral lymphatic spread in head and neck cancer.

作者信息

Ludwig Roman, Pérez Haas Yoel, Benavente Sergi, Balermpas Panagiotis, Unkelbach Jan

机构信息

Physics, University of Zurich, Zurich, Switzerland.

Radiation Oncology, University Hospital Zurich, Zurich, Switzerland.

出版信息

Sci Rep. 2025 May 25;15(1):18152. doi: 10.1038/s41598-025-99978-7.

Abstract

Current guidelines for elective nodal irradiation in oropharyngeal squamous cell carcinoma (OPSCC) recommend including large portions of the contralateral lymphatic system in the clinical target volume (CTV-N), even for lateralized tumors with no clinical lymph node involvement in the contralateral neck. This study introduces a probabilistic model of bilateral lymphatic tumor progression in OPSCC to estimate personalized risks of occult disease in specific lymph node levels (LNLs) based on clinical lymph node involvement, T-stage, and tumor lateralization. Building on a previously developed hidden Markov model for ipsilateral lymphatic spread, we extend the approach to contralateral neck involvement. The model represents LNLs I, II, III, IV, V, and VII on both sides of the neck as binary hidden variables (healthy or involved), connected via arcs representing spread probabilities. These probabilities are learned using Markov chain Monte Carlo (MCMC) sampling from a dataset of 833 OPSCC patients, enabling the model to reflect the underlying lymphatic progression dynamics. The model accurately and precisely describes observed patterns of lymph node involvement with a compact set of interpretable parameters. Midline extension of the primary tumor is identified as the primary risk factor for contralateral involvement, with advanced T-stage and extensive ipsilateral involvement further increasing risk. Occult disease in contralateral LNL III is highly unlikely if upstream LNL II is clinically negative, and in contralateral LNL IV, occult disease is exceedingly rare without LNL III involvement. This model offers an interpretable, probabilistic framework to inform personalized elective CTV-N volume reduction. For lateralized tumors that do not cross the midline, it suggests the contralateral neck may safely be excluded from elective irradiation. For tumors extending across the midline but with a clinically negative contralateral neck, elective irradiation could be limited to LNL II, reducing unnecessary exposure of normal tissue while maintaining regional tumor control.

摘要

口咽鳞状细胞癌(OPSCC)选择性淋巴结照射的现行指南建议,即使对于对侧颈部无临床淋巴结受累的单侧肿瘤,也应将大部分对侧淋巴系统纳入临床靶区(CTV-N)。本研究引入了一个OPSCC双侧淋巴肿瘤进展的概率模型,以根据临床淋巴结受累情况、T分期和肿瘤的单侧性,估计特定淋巴结水平(LNLs)隐匿性疾病的个性化风险。在先前开发的同侧淋巴转移隐马尔可夫模型的基础上,我们将该方法扩展到对侧颈部受累情况。该模型将颈部两侧的LNLs I、II、III、IV、V和VII表示为二元隐藏变量(健康或受累),通过代表转移概率的弧线相连。这些概率通过马尔可夫链蒙特卡罗(MCMC)采样从833例OPSCC患者的数据集中学习得到,使模型能够反映潜在的淋巴进展动态。该模型用一组紧凑的可解释参数准确而精确地描述了观察到的淋巴结受累模式。原发肿瘤的中线延伸被确定为对侧受累的主要危险因素,晚期T分期和广泛的同侧受累会进一步增加风险。如果上游的LNL II临床阴性,则对侧LNL III发生隐匿性疾病的可能性极小;而对侧LNL IV若无LNL III受累,则隐匿性疾病极为罕见。该模型提供了一个可解释的概率框架,为个性化的选择性CTV-N体积缩小提供依据。对于未越过中线的单侧肿瘤,提示可安全地将对侧颈部排除在选择性照射之外。对于越过中线但对侧颈部临床阴性的肿瘤,选择性照射可限于LNL II,在保持区域肿瘤控制的同时减少正常组织的不必要照射。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02d5/12104324/b74be95264f9/41598_2025_99978_Fig1_HTML.jpg

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