Precision association of lymphatic disease spread with radiation-associated toxicity in oropharyngeal squamous carcinomas

Spatial-Non-spatial Multi-Dimensional Analysis of Radiotherapy Treatment/Toxicity Team SMART3

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Purpose: To determine whether patient similarity in terms of head and neck cancer spread through lymph nodes correlates significantly with radiation-associated toxicity. Materials and methods: 582 head and neck cancer patients received radiotherapy for oropharyngeal cancer (OPC) and had non-metastatic affected lymph nodes in the head and neck. Affected lymph nodes were segmented from pretreatment contrast-enhanced tomography scans and categorized according to consensus guidelines. Similar patients were clustered into 4 groups according to a graph-based representation of disease spread through affected lymph nodes. Correlation between dysphagia-associated symptoms and patient groups was calculated. Results: Out of 582 patients, 26% (152) experienced toxicity during a follow up evaluation 6 months after completion of radiotherapy treatment. Patient groups identified by our approach were significantly correlated with dysphagia, feeding tube, and aspiration toxicity (p <.0005). Discussion: Our results suggest that structural geometry-aware characterization of affected lymph nodes can be used to better predict radiation-associated dysphagia at time of diagnosis, and better inform treatment guidelines. Conclusion: Our work successfully stratified a patient cohort into similar groups using a structural geometry, graph-encoding of affected lymph nodes in oropharyngeal cancer patients, that were predictive of late radiation-associated dysphagia and toxicity.

Original languageEnglish (US)
Pages (from-to)152-158
Number of pages7
JournalRadiotherapy and Oncology
Volume161
DOIs
StatePublished - Aug 2021

Bibliographical note

Publisher Copyright:
© 2021 Elsevier B.V.

Keywords

  • Head and neck cancer
  • Medical informatics
  • Oropharynx cancer
  • Precision medicine
  • Radiation-associated dysphagia
  • Statistical data mining

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