Patterns of cervical lymph node metastasis in supraglottic laryngeal cancer and therapeutic implications of surgical staging of the neck

Outcomes of Supracricoid Partial Laryngectomy Performed in the United States: A Systematic Review

OBJECTIVE

The primary objective of this study was to evaluate oncologic outcomes of all published cases of supracricoid partial laryngectomy (SCPL) performed in the United States. The secondary objective was to assess the functional outcomes associated with this procedure.

REVIEW METHODS

A systematic review of PubMed, SCOPUS, and Embase for all English-language studies pertaining to SCPL performed in the United States was conducted until August 2021. Primary outcomes included disease-specific survival (DSS), overall survival, and local recurrence rate. Secondary outcomes included larynx preservation rate, gastrostromy tube dependency, days to gastrostomy tube removal, decannulation rate, and days to decannulation.

RESULTS

A total of six studies were included in the analysis. A total of 113 patients (58.5%) underwent SCPL surgery as a primary treatment method whereas 80 patients (41.5%) underwent SCPL as salvage surgery. The 5-year DSS rates were 87.8% and 100% for primary and salvage procedures, respectively. Approximately 10.3% of patients undergoing a salvage SCPL procedure experienced a local recurrence whereas only 1.85% of primary SCPL procedures resulted in local recurrence. The rates of decannulation following primary and salvage SCPL were 92.7% and 88.1%, respectively. With regard to swallowing, primary and salvage SCPL procedures demonstrated comparably low postoperative gastrostomy tube dependency rates of 3.66% and 4.76%, respectively.

CONCLUSIONS

SCPL performed in the United States is an effective surgical technique that produces excellent outcomes in qualifying patients, thus validating its viability as an organ-preserving surgical alternative. Laryngoscope, 134:3003-3011, 2024.

Treatment discordance in the utilization of neck dissection for stage I-II supraglottic tumors

BACKGROUND

In 2018, the National Comprehensive Cancer Network treatment guidelines began recommending the use of neck dissection during surgical management of stage I-II supraglottic laryngeal squamous cell carcinoma (LSCC).

METHODS

Trends and factors associated with the use of neck dissection during larynx-preserving surgery for patients with cT1-2, N0, M0 supraglottic LSCC in the National Cancer Database (2004-2020) were evaluated using multivariable-adjusted logistic regression.

RESULTS

Of the 2080 patients who satisfied study eligibility criteria, 633 (30.4%) underwent neck dissection. Between 2018 and 2020, the rate of neck dissection was 39.0% (114/292). After multivariable adjustment, academic facility type, undergoing biopsy prior to surgery, and more radical surgery were significant predictors of receiving neck dissection.

CONCLUSIONS

The results of this national analysis suggest that the utilization of guideline-concordant neck dissection for management of stage I-II supraglottic LSCC remains low and highlight the need to promote the practice of neck dissection for this patient population.

Development and validation of a diagnostic model for predicting cervical lymph node metastasis in laryngeal and hypopharyngeal carcinoma

Objectives

The lymph node status is crucial for guiding the surgical approach for patients with laryngeal and hypopharyngeal carcinoma (LHC). Nonetheless, occult lymph node metastasis presents challenges to assessment and treatment planning. This study seeks to develop and validate a diagnostic model for evaluating cervical lymph node status in LHC patients.

Materials and methods

This study retrospectively analyzed a total of 285 LHC patients who were treated at the Department of Otolaryngology Head and Neck Surgery, Daping Hospital, Army Medical University, from January 2015 to December 2020. Univariate and multivariate logistic regression analyses were employed to construct the predictive model. Discrimination and calibration were used to assess the predictive performance of the model. Decision curve analysis (DCA) was performed to evaluate the clinical utility of the model, and validation was conducted using 10-fold cross-validation, Leave-One-Out Cross Validation, and bootstrap methods.

Results

This study identified significant predictors of lymph node metastasis in LHC. A diagnostic predictive model was developed and visualized using a nomogram. The model demonstrated excellent discrimination, with a C-index of 0.887 (95% CI: 0.835-0.933). DCA analysis indicated its practical applicability, and multiple validation methods confirmed its fitting and generalization ability.

Conclusion

This study successfully established and validated a diagnostic predictive model for cervical lymph node metastasis in LHC. The visualized nomogram provides a convenient tool for personalized prediction of cervical lymph node status in patients, particularly in the context of occult cervical lymph node metastasis, offering valuable guidance for clinical treatment decisions.

Surgery for Supraglottic Laryngeal Cancer

Although total laryngectomy continues to be important treatment of supraglottic laryngeal cancer, the management of early-stage disease has evolved from primary radiation/chemoradiation to consideration of partial laryngectomy surgery. Surgeon experience and careful patient selection can lead to excellent oncologic and functional outcomes for these techniques. However, advanced stage tumors and salvage situations are challenging and the ability to eradicate disease and preserve function should be carefully considered. Contraindications to supraglottic laryngectomy depend on surgical approach, as do complications. With adequate patient selection, high rates of cure and function can be achieved with both open and transoral supraglottic laryngectomy procedures.

Angiotensin-converting enzyme insertion/deletion gene polymorphism in patients with laryngeal cancer

Objectives

The aim of this study was to compare the distribution of the angiotensin-converting enzyme (ACE) I/D polymorphism between patients with laryngeal cancer (LC) and a control group and to examine the distribution of this polymorphism with clinical parameters related to LC.

Methods

We enrolled 44 LC patients and 61 healthy controls. The ACE I/D polymorphism was genotyped with the PCR-RFLP method. The distribution of ACE genotypes (II, ID, and DD) and alleles (I or D) was evaluated with Pearson's chi-square test, and logistic regression analysis was performed for statistically significant parameters.

Results

There was no significant difference in ACE genotypes and alleles between LC patients and controls (p = 0.079 and p = 0.068, respectively). Among clinical parameters related to LC (extension of tumour, node metastasis, tumour stage and tumour location), only the presence of node metastasis was found to be significant in terms of ACE DD genotype (p = 0.137, p = 0.031, p = 0.147, p = 0.321 respectively). In the logistic regression analysis, the ACE DD genotype was increased 8.3 fold in nodal metastases.

Conclusions

The findings of the study suggest that ACE genotypes and alleles do not affect the prevalence of LC, but the DD genotype of ACE polymorphism may increase the risk of lymph node metastasis in LC patients.

Application of an Interpretable Machine Learning Model to Predict Lymph Node Metastasis in Patients with Laryngeal Carcinoma

Objectives

A more accurate preoperative prediction of lymph node metastasis (LNM) plays a decisive role in the selection of treatment in patients with laryngeal carcinoma (LC). This study aimed to develop a machine learning (ML) prediction model for predicting LNM in patients with LC.

Methods

We collected and retrospectively analysed 4887 LC patients with detailed demographical characteristics including age at diagnosis, race, sex, primary site, histology, number of tumours, T-stage, grade, and tumour size in the National Institutes of Health (NIH) Surveillance, Epidemiology, and End Results (SEER) database from 2005 to 2015. A correlation analysis of all variables was evaluated by the Pearson correlation. Independent risk factors for LC patients with LNM were identified by univariate and multivariate logistic regression analyses. Afterward, patients were randomly divided into training and test sets in a ratio of 8 to 2. On this basis, we established logistic regression (LR), k-nearest neighbor (KNN), support vector machine (SVM), extreme gradient boosting (XGBoost), random forest (RF), and light gradient boosting machine (LightGBM) algorithm models based on ML. The area under the receiver operating characteristic curve (AUC) value, accuracy, precision, recall rate, F1-score, specificity, and Brier score was adopted to evaluate and compare the prediction performance of the models. Finally, the Shapley additive explanation (SHAP) method was used to interpret the association between each feature variable and target variables based on the best model.

Results

Of the 4887 total LC patients, 3409 were without LNM (69.76%), and 1478 had LNM (30.24%). The result of the Pearson correlation showed that variables were weakly correlated with each other. The independent risk factors for LC patients with LNM were age at diagnosis, race, primary site, number of tumours, tumour size, grade, and T-stage. Among six models, XGBoost displayed a better performance for predicting LNM, with five performance metrics outperforming other models in the training set (AUC: 0.791 (95% CI: 0.776–0.806), accuracy: 0.739, recall rate: 0.638, F1-score: 0.663, and Brier score: 0.165), and similar results were observed in the test set. Moreover, the SHAP value of XGBoost was calculated, and the result showed that the three features, T-stage, primary site, and grade, had the greatest impact on predicting the outcomes.

Conclusions

The XGBoost model performed better and can be applied to forecast the LNM of LC, offering a valuable and significant reference for clinicians in advanced decision-making.

A Predictive Nomogram for Lymph Node Metastasis in Supraglottic Laryngeal Squamous Cell Carcinoma

Purpose

Lymph node metastasis (LNM) has a negative impact on the survival of patients with laryngeal squamous cell carcinoma (LSCC). Supraglottic LSCC is the most common cause of cervical lymph node metastases due to the extensive submucosal lymphatic plexus. The accurate evaluation of LNM before surgery can inform improved decisions in the clinic. In this study, we aimed to construct a nomogram to predict LNM in primary supraglottic LSCC patients.

Methods

The data from 314 patients with clinico-pathological confirmed supraglottic LSCC who underwent partial or total laryngectomy in our department from 2016 to 2020 were retrospectively analyzed (243 cases in the training set and 71 cases in the validation set). A multivariate logistic regression model was used to screen out independent risk factors and a nomogram was established. The accuracy and discrimination ability of the nomogram was evaluated using a consistency index and calibration curves.

Results

Tumor size, tumor differentiation degree and LMR (lymphocyte-monocyte ratio) were selected to construct the nomogram. The C-index was 0.731 in the training set and 0.707 in the validation set. The calibration curves of the training and validation group both exhibited close agreement between the predicted and the actual presence of LNM.

Conclusions

A nomogram was established based on routinely measured pretreatment variables and the predicted results improved the management of patients with LNM.