ArticleScientific reports2025
A probabilistic model of bilateral lymphatic spread in head and neck cancer.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Personalizing Elective Nodal Irradiation in Head and Neck Squamous Cell Carcinoma: A Systematic Review of SPECT/CT-Guided Sentinel Lymph Node Mapping.Current oncology (Toronto, Ont.) · 2025Pooled it
- Systematic review of artificial intelligence and radiomics for preoperative prediction of extranodal extension and lymph node metastasis in oropharyngeal cancer.Frontiers in oncology · 2025Pooled it
- Toward uncertainty-aware manual delineation of brain tumours using eye-tracking and image-derived features.Physics and imaging in radiation oncology · 2026Article
- Personalized volume de-escalated elective nodal irradiation in oropharyngeal squamous cell carcinoma (DeEscO): a study protocol.Clinical and translational radiation oncology · 2026Article
- Prognostic factors and cervical lymph node management in tongue squamous cell carcinoma: a retrospective cohort study.Clinical oral investigations · 2026Article
- A multi-institutional dataset on patient-individual lymph node involvement in hypopharyngeal and laryngeal squamous cell carcinoma.Data in brief · 2025Article
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5 authors.
Funding
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.
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