A Probabilistic Model of Bilateral Lymphatic Spread in Head and Neck Cancer
Roman Ludwig, Yoel Perez Haas, Sergi Benavente, Panagiotis Balermpas,, Jan Unkelbach

TL;DR
This paper presents a probabilistic model for predicting bilateral lymphatic spread in head and neck cancer, enabling personalized treatment planning by estimating occult disease risks in lymph node levels based on tumor characteristics.
Contribution
The study extends a hidden Markov model to include contralateral lymphatic spread, providing a data-driven tool for tailored radiotherapy target volume decisions in OPSCC.
Findings
Midline tumor extension is the main risk factor for contralateral involvement.
Occult disease in contralateral LNL III is rare if LNL II is negative.
Limiting CTV-N to LNL II in certain cases can reduce tissue exposure without compromising control.
Abstract
Current guidelines for elective nodal irradiation in oropharyngeal squamous cell carcinoma (OPSCC) recommend including large portions of the contralateral lymph 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 involvement, T-stage, and tumor lateralization. Building on a previously developed hidden Markov model for ipsilateral spread, we extend the approach to the contralateral neck. The model represents LNLs I, II, III, IV, V, and VII on both sides of the neck as binary hidden variables (healthy/involved), connected via arcs representing spread probabilities. These probabilities are learned using…
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Taxonomy
TopicsHead and Neck Cancer Studies
