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Tongue reconstruction after oncological resection: Analysis of the functional outcomes. | LitMetric

Tongue reconstruction after oncological resection: Analysis of the functional outcomes.

J Stomatol Oral Maxillofac Surg

Department of Maxillofacial and Plastic Surgery, Tours University Hospital, Avenue de la République, Chambray les Tours 37100, France; School of Medicine, University of François Rabelais, 10 bd Tonnellé, Tours 37000, France. Electronic address:

Published: June 2024

The curative management of oral squamous cell carcinoma can be responsible for swallowing and/or speech impairments. In this study, we analyzed the functional outcomes in patients who underwent an oncological resection and a primary reconstruction of the tongue and/or of the floor of the mouth (TFM). We also investigated the predictive factors for poor functional outcomes. This retrospective study included operated patients from October 2013 to May 2021 at the TOURS University Hospital. We assessed the functional results two years after the completion of the cancer treatment with self-administered questionnaires quantifying swallowing and speech disorders. Thirty-three patients were included and reconstructed with antebrachial free flap (N = 16), local flap (N = 8) or Biodesign ® membrane (N = 9). A higher proportion of pT1 tumor was observed in patient who had a Biodesign-based reconstruction (p = 0.001). There was no significant difference between the groups in terms of postoperative complications or for the duration of enteral feeding. The 21 patients who had an adjuvant radiation therapy had no significant more altered functions. Functional scores were significantly higher in the free flap reconstruction group (DHI =24 and SHI=21) (p = 0.008). No predictive factors for poor outcomes were observed. The repair of TFM defects must be adapted to the resection size. The reconstruction techniques allow to get acceptable functional outcomes even for the greater tumors or in case of radiation therapy. Further research would be required to better identify the predictive factors for poor outcomes.

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http://dx.doi.org/10.1016/j.jormas.2023.101707DOI Listing

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