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Background <p>Buccal mucosa squamous cell carcinoma (BMSCC) arises in a functionally complex anatomical region adjacent to the buccinator muscle, the anterior border of the masseter muscle, the pterygomandibular raphe, the retromolar region, and the pterygomandibular space. Tumor infiltration, extended resection, post-reconstruction scarring, and postoperative radiotherapy may affect the masticatory muscle complex and mandibular movement. Compared with other oral subsites, such as tongue and floor-of-mouth cancers, postoperative trismus after BMSCC has more pronounced subsite-specific characteristics. Evidence regarding independent risk factors and risk prediction tools for postoperative trismus in this subsite remains limited. This study aimed to identify independent risk factors for trismus at 12 months after surgery for BMSCC and to develop an integrated peri-treatment risk-prediction model.</p> Methods <p>We retrospectively analyzed clinical data from 312 patients who underwent surgical treatment for BMSCC at our institution between January 2020 and June 2024. The primary outcome was trismus at 12 months after surgery, defined as a maximum interincisal opening (MIO) of &lt; 35&#xa0;mm. The collected data included demographic characteristics, exposure to risk factors, preoperative assessment parameters, surgery-related variables, postoperative pathological indicators, adjuvant treatment, and follow-up information. Two investigators independently extracted data using a prespecified electronic case report form; data consistency was assessed by repeated random sampling. Univariable analyses were used to describe associations between candidate factors and the outcome; candidate predictors for the main model were prespecified according to the number of events, clinical relevance, temporal sequence, and variable overlap. A multivariable logistic regression model was developed and evaluated using receiver operating characteristic (ROC) curve analysis, calibration curves, the Hosmer–Lemeshow test, bootstrap internal validation, and decision curve analysis (DCA).</p> Results <p>Among 312 patients, 98 (31.4%) developed trismus at 12 months after surgery, including 42 patients (42.9%) with mild trismus, 39 (39.8%) with moderate trismus, and 17 (17.3%) with severe trismus. Preoperative MIO was clinically comparable between the two groups (mean difference, -0.6&#xa0;mm; 95% confidence interval (CI), -1.78 to 0.58; <i>P</i> = 0.312). Multivariable logistic regression showed that pathological depth of invasion (pDOI) ≥ 10&#xa0;mm (odds ratio (OR) = 3.078, 95% CI, 1.756–5.392), subtotal or total masseter resection (OR = 4.288, 95% CI, 2.272–8.096), medial pterygoid muscle resection (OR = 2.680, 95% CI, 1.494–4.808), buccal mucosal defect area ≥ 15&#xa0;cm² (OR = 2.402, 95% CI, 1.420–4.064), radiation dose ≥ 60&#xa0;Gy (Gy) (OR = 2.252, 95% CI, 1.342–3.780), and masticatory muscle V50 ≥ 40% (percentage of masticatory muscle volume receiving ≥ 50&#xa0;Gy; OR = 2.520, 95% CI, 1.368–4.644) were independent risk factors for postoperative trismus (all <i>P</i> &lt; 0.05). The area under the curve (AUC) of the combined prediction model was 0.862 (95% CI, 0.820–0.904), and the bootstrap-corrected AUC was 0.848 (95% CI, 0.802–0.894). The Hosmer–Lemeshow test showed no evident lack of fit (<i>χ²</i> = 6.842, <i>P</i> = 0.554).</p> Conclusions <p>pDOI, masseter and medial pterygoid resection status, buccal mucosal defect area, radiation dose, and irradiated masticatory muscle volume were independent risk factors for trismus after surgical treatment of BMSCC. The integrated peri-treatment prediction model based on these factors demonstrated good discrimination and acceptable calibration in internal validation in this cohort and may serve as an adjunctive reference for identifying high-risk patients and developing function-preserving strategies. Its clinical applicability requires further validation in multicenter external cohorts.</p>

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Risk factor analysis and development of a prediction model for trismus after surgical treatment of buccal mucosa squamous cell carcinoma

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  • 发表日期：

    2026年7月22日

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  • Liying Sun,
  • Wei Liu,
  • Lei Xu,
  • Ziqiang Ma,
  • Boyue Li

摘要

Background

Buccal mucosa squamous cell carcinoma (BMSCC) arises in a functionally complex anatomical region adjacent to the buccinator muscle, the anterior border of the masseter muscle, the pterygomandibular raphe, the retromolar region, and the pterygomandibular space. Tumor infiltration, extended resection, post-reconstruction scarring, and postoperative radiotherapy may affect the masticatory muscle complex and mandibular movement. Compared with other oral subsites, such as tongue and floor-of-mouth cancers, postoperative trismus after BMSCC has more pronounced subsite-specific characteristics. Evidence regarding independent risk factors and risk prediction tools for postoperative trismus in this subsite remains limited. This study aimed to identify independent risk factors for trismus at 12 months after surgery for BMSCC and to develop an integrated peri-treatment risk-prediction model.

Methods

We retrospectively analyzed clinical data from 312 patients who underwent surgical treatment for BMSCC at our institution between January 2020 and June 2024. The primary outcome was trismus at 12 months after surgery, defined as a maximum interincisal opening (MIO) of < 35 mm. The collected data included demographic characteristics, exposure to risk factors, preoperative assessment parameters, surgery-related variables, postoperative pathological indicators, adjuvant treatment, and follow-up information. Two investigators independently extracted data using a prespecified electronic case report form; data consistency was assessed by repeated random sampling. Univariable analyses were used to describe associations between candidate factors and the outcome; candidate predictors for the main model were prespecified according to the number of events, clinical relevance, temporal sequence, and variable overlap. A multivariable logistic regression model was developed and evaluated using receiver operating characteristic (ROC) curve analysis, calibration curves, the Hosmer–Lemeshow test, bootstrap internal validation, and decision curve analysis (DCA).

Results

Among 312 patients, 98 (31.4%) developed trismus at 12 months after surgery, including 42 patients (42.9%) with mild trismus, 39 (39.8%) with moderate trismus, and 17 (17.3%) with severe trismus. Preoperative MIO was clinically comparable between the two groups (mean difference, -0.6 mm; 95% confidence interval (CI), -1.78 to 0.58; P = 0.312). Multivariable logistic regression showed that pathological depth of invasion (pDOI) ≥ 10 mm (odds ratio (OR) = 3.078, 95% CI, 1.756–5.392), subtotal or total masseter resection (OR = 4.288, 95% CI, 2.272–8.096), medial pterygoid muscle resection (OR = 2.680, 95% CI, 1.494–4.808), buccal mucosal defect area ≥ 15 cm² (OR = 2.402, 95% CI, 1.420–4.064), radiation dose ≥ 60 Gy (Gy) (OR = 2.252, 95% CI, 1.342–3.780), and masticatory muscle V50 ≥ 40% (percentage of masticatory muscle volume receiving ≥ 50 Gy; OR = 2.520, 95% CI, 1.368–4.644) were independent risk factors for postoperative trismus (all P < 0.05). The area under the curve (AUC) of the combined prediction model was 0.862 (95% CI, 0.820–0.904), and the bootstrap-corrected AUC was 0.848 (95% CI, 0.802–0.894). The Hosmer–Lemeshow test showed no evident lack of fit (χ² = 6.842, P = 0.554).

Conclusions

pDOI, masseter and medial pterygoid resection status, buccal mucosal defect area, radiation dose, and irradiated masticatory muscle volume were independent risk factors for trismus after surgical treatment of BMSCC. The integrated peri-treatment prediction model based on these factors demonstrated good discrimination and acceptable calibration in internal validation in this cohort and may serve as an adjunctive reference for identifying high-risk patients and developing function-preserving strategies. Its clinical applicability requires further validation in multicenter external cohorts.