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Background: The purpose of this study was to determine the prevalence and nature of internal, external, and combined lymphedema and fibrosis in patients with head and neck cancer (HNC)., Materials and Methods: We obtained consent from 100 patients newly diagnosed with having cancer of the head and neck for a 4-year, prospective, longitudinal descriptive study. Recruitment began in August 23, 2010, and the study was completed in April 24, 2014. Eighty-three were evaluated at regular intervals from preradiation therapy to 18 months post-treatment. Percentage developing external, internal, or both types of lymphedema and/or fibrosis and trajectories of the severity of external, internal, or both types of lymphedema and/or fibrosis were determined., Results: Before treatment, lymphedema rates were the following: external: 62.7%, internal: 41.7%, or combined: 29.2%, and/or fibrosis: 42.2%. Ranges of lymphedema late-effect rates were even higher: external: 81.9%-90.1%, internal: 80.4%-89.4%, combined: 70.6%-80.9%, and fibrosis: 66.7%-77.4%. Approximately 75% had a late-effect trajectory characterized by moderate to severe external or internal lymphedema; ∼47% had moderate to severe fibrosis., Conclusion: Lymphatic and soft tissue complications of HNC occur not only post-treatment but also before treatment. They are ubiquitous throughout the first 18 months post-treatment, with greater than 90% of patients in our study experiencing some form of internal, external, or combined lymphedema, and over half of those patients developing fibrosis. Further research regarding these conditions is indicated., Competing Interests: Author Disclosure Statement No competing financial interests exist.

Background: Tumor/treatment-related internal lymphedema (IL) and/or external lymphedema (EL) are associated with functional deficits and increased symptom burden in head and neck cancer patients (HNCP). Previously, we noted association between EL/IL and patient-reported dysphagia using the Vanderbilt Head and Neck Symptom Survey (VHNSS) version 1.0., Objective: To determine the relationship between IL/EL and subjective and objective measures of swallowing function., Methods: Eighty-one HNCP completed: (1) VHNSS version 2.0, including 13 swallowing/nutrition-related questions grouped into three clusters: swallow solids (ss), swallow liquids (sl), and nutrition(nt); (2) physical assessment of EL using Foldi scale; (3) endoscopic assessment of IL using Patterson scale (n = 56); and (4) modified barium swallow study rated by dysphagia outcome and severity scale (DOSS) and in conjunction with a swallow evaluation by National Outcomes Measurement System (NOMS). Examinations were performed at varied time points to assess lymphedema spectrum, from baseline (n = 15, 18.1%) to 18 months post-therapy (n = 20, 24.1%)., Results: VHNSS swallow/nutrition items scores correlated with NOMS/DOSS ratings (p < 0.001). Highest correlation was with NOMS: ss (-0.73); sl (-0.61); nt (-0.56). VHNSS swallow/nutrition scores correlated with maximum grade of swelling for any single structure on Patterson scale: ss (0.43; p = 0.001); sl (0.38; p = 0.004); nt (0.41; p = 0.002). IL of aryepiglottic/pharyngoepiglottic folds, epiglottis, and pyriform sinus were most strongly correlated with VHNSS and NOMS ratings. NOMS/DOSS ratings correlated with EL (> = -0.34; p < 0.01). No meaningful correlations exist between VHNSS swallow/nutrition items and EL (< ± 0.15, p > 0.20)., Conclusions: IL correlated with subjective and objective measures of swallow dysfunction. Longitudinal analysis of trajectory and impact of IL/EL on dysphagia is ongoing.

We propose a static and a dynamic approach to model biological signaling networks, and show how each can be used to answer relevant biological questions. For this, we use the two different mathematical tools of Propositional Logic and Integer Programming. The power of discrete mathematics for handling qualitative as well as quantitative data has so far not been exploited in molecular biology, which is mostly driven by experimental research, relying on first-order or statistical models. The arising logic statements and integer programs are analyzed and can be solved with standard software. For a restricted class of problems the logic models reduce to a polynomial-time solvable satisfiability algorithm. Additionally, a more dynamic model enables enumeration of possible time resolutions in poly-logarithmic time. Computational experiments are included.