Dataset Information

Prevalence and prediction of trismus in patients with head and neck cancer: A cross-sectional study.

ABSTRACT:

Background

Trismus occurs frequently in patients with head and neck cancer. Determining the prevalence and associated factors of trismus would enable prediction of the risk of trismus for future patients.

Methods

Based on maximal mouth opening measurements, we determined the prevalence of trismus in 730 patients with head and neck cancer. Associated factors for trismus were analyzed using univariate analyses and multivariate logistic regression analyses. Based on the regression model, a calculation tool to predict trismus was made.

Results

Prevalence of trismus was 23.6%. Factors associated with trismus were: advanced age; partial or full dentition; tumors located at the maxilla; mandible; cheek; major salivary glands; oropharynx; an unknown primary; a free soft tissue transfer after surgery; reirradiation; and chemotherapy.

Conclusion

About one-fourth of patients with head and neck cancer develop trismus. Based on prevalence and associated factors of trismus, a simple calculation tool predicts the risk of trismus in these patients.

SUBMITTER: van der Geer SJ

PROVIDER: S-EPMC6590501 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Prevalence and prediction of trismus in patients with head and neck cancer: A cross-sectional study.

van der Geer Sarah J SJ van Rijn Phillip V PV Kamstra Jolanda I JI Langendijk Johannes A JA van der Laan Bernard F A M BFAM Roodenburg Jan L N JLN Dijkstra Pieter U PU

Head & neck 20181218 1

<h4>Background</h4>Trismus occurs frequently in patients with head and neck cancer. Determining the prevalence and associated factors of trismus would enable prediction of the risk of trismus for future patients.<h4>Methods</h4>Based on maximal mouth opening measurements, we determined the prevalence of trismus in 730 patients with head and neck cancer. Associated factors for trismus were analyzed using univariate analyses and multivariate logistic regression analyses. Based on the regression mo ...[more]

PMID: 30561067

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Project description:ImportanceTrismus is highly prevalent in head and neck cancer (HNC) survivorship. Current standards for trismus treatment include various stretch-based exercise protocols as a primary and single treatment modality with limited evidence regarding the role of manual therapy (MT) for this indication.ObjectiveTo assess the effect size and associations of response to MT to increase oral opening in the setting of radiation-associated trismus.Design, setting, and participantsThis retrospective case series was conducted at the University of Texas MD Anderson Cancer Center between 2016 and March 2020 (before COVID-19 interruption) and included 49 disease-free survivors of HNC who were referred for treatment of radiation-associated trismus.InterventionIntraoral MT (including or excluding external head and neck) targeting the muscles of mastication.Main outcomes and measuresMaximum interincisal opening (MIO) before and after the initial MT session compared with serial MT sessions. Covariates were examined to determine the association with response to MT for trismus.ResultsA total of 49 survivors of HNC (13 women [27%]; 24 [49%] 64 years or younger; 25 [51%] 65 years or older; mean [range] of 6.6 [0-33] years postradiotherapy were included, 9 [18.4%] of whom underwent a single MT session; 40 [81.6%] who underwent multiple sessions [mean, 6; median (range), 3 (2-48)]). The MIO improved after a single session by a mean (SD) of 4.1 (1.9) mm (0.45 effect size) and after serial MT sessions by a mean (SD) of 6.4 (4.8) mm with an effect size of 0.7. No covariates were found to be clinically meaningfully associated with MIO improvement following MT.Conclusions and relevanceThe findings of this case series study suggest that MT improved MIO with a medium to large effect size in survivors of HNC with radiation-associated trismus. The results suggest that the largest increase in oral opening was achieved after the initial treatment and although gains were more modest, oral opening continued to improve with serial treatment. Covariates were not associated with MT response, suggesting that patients with clinical features often considered treatment refractory (eg, advanced disease, multiple lines of oncology treatment, ≥5 years posttreatment) may benefit from treatment with MT. Manual therapy may be a beneficial frontline or adjuvant treatment when combined with traditional stretching therapy. A clinically meaningful increase in oral opening has the potential to improve swallow function, speech, pain, and quality of life.

Project description:BackgroundCurrent treatment for head and neck cancers (HNCs) have led to an improved survival. However, the sequelae of cancer treatment often result in trismus, or reduced mouth opening. The purpose of this report is to identify interventional studies for trismus management in HNC patients.MethodsA search of PubMed, Embase, Cumulated Index to Nursing and Allied Health Literature, and the Cochrane Library was conducted in March 2020 for randomized controlled trials (RCTs) involving interventions for trismus for head and neck cancer within 10 years. Intervention could involve the use of an exercise regime, jaw rehabilitation device, technological device, medication or massage therapy. The primary outcome was the measurement of mouth opening.ResultsEleven RCTs involving a total of 685 patients with HNC were included. Six RCTs evaluated the effectiveness of a jaw mobilization device with exercises; there was no significant benefit of an exercise regime with a jaw mobilization device either initiated before, during or after treatment compared to no exercise. Two RCTs compared 2 intervention groups that involved exercises only, with 1 study assessing the benefit of weekly supervised physical therapy with gum chewing and another evaluating the benefit of immediate (1-2 days) versus delayed (7-10 days) initiation of exercise post-surgery; there was no significant difference between groups in either study. One RCT that recruited only patients with trismus demonstrated that an exercise regime in combination with low-level laser therapy or low-intensity ultrasound had superior results in mouth opening measurements compared to exercise alone. Two RCTs compared intervention groups with and without follow-up reminders; both studies showed a significant improvement in mouth opening measurements in groups with follow-up reminders.ConclusionThis systematic review did not convey a clear consensus as to optimal intervention for trismus in HNC patients. A variety of exercise regimens and jaw rehabilitation devices appear to have comparable effectiveness. However, efforts focused on increasing adherence to a particular intervention protocol may positively impact mouth opening measures in head and neck cancer patients. Also, low-level laser therapy and low-intensity ultrasound coupled with exercise may be beneficial for patients with trismus.

Project description:IntroductionThe study aimed to assess resilience and its associated factors in head and neck cancer patients, post-treatment in a low middle income country (LMIC) such as Pakistan.MethodsAn analytical cross-sectional study was conducted from November 2019 to May 2020 among head and neck cancer patients aged at least 18 years at the largest private tertiary care hospital, in Karachi, Pakistan. Information regarding their resilience scores was collected through Wagnild and Young's Resilience scale that comprises of 14 items (RS-14). Moreover, depression and anxiety were also assessed via Hospital Anxiety and Depression Scale (HADS) and social support was assessed by Enriched Social Support Instrument (ESSI).ResultsThe data was analyzed by linear regression modeling. Unadjusted and adjusted beta coefficients with 95% CI were reported. A total of 250 head and neck cancer patients were recruited, 79% of them were males. Mean age of the patients was 51.59 years with 93% having high social support and only 8% having severe depression and 3% having severe anxiety. After adjusting for the covariates in multivariable analysis resilience was associated with severe depression (- 17[- 20.98,-12.93]) or borderline depression (- 4[- 8.41,-0.39]), severe anxiety (- 11 [- 17.88,-4.18]), low social support (- 6[- 9.62,-1.71]), having family members of > 6 in the household (- 2[- 4.31,-0.29), smokeless tobacco users post- treatment (10[5.79, 14.45]), and those who underwent tracheotomy (- 4[- 7.67,-0.21]). There was a significant interaction between education and role in the family (decision maker).ConclusionIn Pakistan, a South Asian LMIC, collectivist culture prevails, family ties are greatly promoted thus resilience and social support is highly prevalent in head and neck cancer patients resulting in lower prevalence of depression and anxiety. Our study highlights that higher resilience is prevalent among small families less than six members, as the welfare of the individual is prioritized over multiple needs of the family. Formal Education and role in household/decision making power are effect modifiers in our study, demonstrating its protective effect on the mental health of head and neck cancer patients. High resilience scores were reported among current smokeless tobacco users as compared to quitters post treatment. Resilience-building interventions should be formulated to aid head and neck cancer patients to cope with the disease and its sequel.

Project description:In radiation oncology, predicting patient risk stratification allows specialization of therapy intensification as well as selecting between systemic and regional treatments, all of which helps to improve patient outcome and quality of life. Deep learning offers an advantage over traditional radiomics for medical image processing by learning salient features from training data originating from multiple datasets. However, while their large capacity allows to combine high-level medical imaging data for outcome prediction, they lack generalization to be used across institutions. In this work, a pseudo-volumetric convolutional neural network with a deep preprocessor module and self-attention (PreSANet) is proposed for the prediction of distant metastasis, locoregional recurrence, and overall survival occurrence probabilities within the 10 year follow-up time frame for head and neck cancer patients with squamous cell carcinoma. The model is capable of processing multi-modal inputs of variable scan length, as well as integrating patient data in the prediction model. These proposed architectural features and additional modalities all serve to extract additional information from the available data when availability to additional samples is limited. This model was trained on the public Cancer Imaging Archive Head-Neck-PET-CT dataset consisting of 298 patients undergoing curative radio/chemo-radiotherapy and acquired from 4 different institutions. The model was further validated on an internal retrospective dataset with 371 patients acquired from one of the institutions in the training dataset. An extensive set of ablation experiments were performed to test the utility of the proposed model characteristics, achieving an AUROC of [Formula: see text], [Formula: see text] and [Formula: see text] for DM, LR and OS respectively on the public TCIA Head-Neck-PET-CT dataset. External validation was performed on a retrospective dataset with 371 patients, achieving [Formula: see text] AUROC in all outcomes. To test for model generalization across sites, a validation scheme consisting of single site-holdout and cross-validation combining both datasets was used. The mean accuracy across 4 institutions obtained was [Formula: see text], [Formula: see text] and [Formula: see text] for DM, LR and OS respectively. The proposed model demonstrates an effective method for tumor outcome prediction for multi-site, multi-modal combining both volumetric data and structured patient clinical data.

Dataset Information

Prevalence and prediction of trismus in patients with head and neck cancer: A cross-sectional study.

Background

Methods

Results

Conclusion

Publications

Prevalence and prediction of trismus in patients with head and neck cancer: A cross-sectional study.

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