BACKGROUND: To achieve improved functional outcomes in subtotal tongue reconstruction, a flap design with sufficient volume and appropriate shape is necessary. In this study, we introduce an "Individualized and Convenient Tongue Model" (ICTM) for flap design in subtotal tongue reconstruction. METHODS: By studying the anatomical morphology of the tongue, we found a similar geometry within the dorsum and body of the tongue as well as the mouth floor. This can be used to create an ICTM through folding and splicing. We can simulate tongue defects in the ICTM and transform defect shapes into guide plates for flap design. In this study, fifty-eight patients requiring subtotal tongue reconstruction were randomly divided into two groups: an ICTM group (35 patients) and a conventional group (31 patients). In the ICTM group, we individually designed profunda artery perforator flaps (PAPFs) or anterolateral thigh flaps (ALTFs) using the ICTM method. In the conventional group, the flap was designed according to the surgeon's clinical experience. Patient demographics, operative and follow-up data were recorded. Swallowing, speech intelligibility, and cosmetic results were assessed using appropriate scales. RESULTS: All flaps survived, although there were no significant differences in tumor size, operation time, flap size, and complication rate compared to the conventional group. Patients in the ICTM group had significantly improved speech intelligibility (p = 0.019), cosmetic appearance (p = 0.009), and swallowing ability (p = 0.003). CONCLUSIONS: The ICTM technique is an effective and convenient solution for subtotal tongue reconstruction that provides an individualized flap design and improves functional outcomes compared to the conventional design.
No clinical trial protocols linked to this paper
Clinical trials are automatically linked when NCT numbers are found in the paper's title or abstract.PICO Elements
No PICO elements extracted yet. Click "Extract PICO" to analyze this paper.
Paper Details
MeSH Terms
Associated Data
No associated datasets or code repositories found for this paper.
Related Papers
Related paper suggestions will be available in future updates.