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.

Comparing three-dimensional and two-dimensional deep-learning, radiomics, and fusion models for predicting occult lymph node metastasis in laryngeal squamous cell carcinoma based on CT imaging: a multicentre, retrospective, diagnostic study

Background

The occult lymph node metastasis (LNM) of laryngeal squamous cell carcinoma (LSCC) affects the treatment and prognosis of patients. This study aimed to comprehensively compare the performance of the three-dimensional and two-dimensional deep learning models, radiomics model, and the fusion models for predicting occult LNM in LSCC.

Methods

In this retrospective diagnostic study, a total of 553 patients with clinical N0 stage LSCC, who underwent surgical treatment without distant metastasis and multiple primary cancers, were consecutively enrolled from four Chinese medical centres between January 01, 2016 and December 30, 2020. The participant data were manually retrieved from medical records, imaging databases, and pathology reports. The study cohort was divided into a training set (n = 300), an internal test set (n = 89), and two external test sets (n = 120 and 44, respectively). The three-dimensional deep learning (3D DL), two-dimensional deep learning (2D DL), and radiomics model were developed using CT images of the primary tumor. The clinical model was constructed based on clinical and radiological features. Two fusion strategies were utilized to develop the fusion model: the feature-based DLRad_FB model and the decision-based DLRad_DB model. The discriminative ability and correlation of 3D DL, 2D DL and radiomics features were analysed comprehensively. The performances of the predictive models were evaluated based on the pathological diagnosis.

Findings

The 3D DL features had superior discriminative ability and lower internal redundancy compared to 2D DL and radiomics features. The DLRad_DB model achieved the highest AUC (0.89-0.90) among all the study sets, significantly outperforming the clinical model (AUC = 0.73-0.78, P = 0.0001-0.042, Delong test). Compared to the DLRad_DB model, the AUC values for the DLRad_FB, 3D DL, 2D DL, and radiomics models were 0.82-0.84 (P = 0.025-0.46), 0.86-0.89 (P = 0.75-0.97), 0.83-0.86 (P = 0.029-0.66), and 0.79-0.82 (P = 0.0072-0.10), respectively in the study sets. Additionally, the DLRad_DB model exhibited the best sensitivity (82-88%) and specificity (79-85%) in the test sets.

Interpretation

The decision-based fusion model DLRad_DB, which combines 3D DL, 2D DL, radiomics, and clinical data, can be utilized to predict occult LNM in LSCC. This has the potential to minimize unnecessary lymph node dissection and prophylactic radiotherapy in patients with cN0 disease.

Funding

National Natural Science Foundation of China, Natural Science Foundation of Shandong Province.

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.

Factors favoring neck metastasis in patients underwent laryngectomy for laryngeal cancer

Background

One third of all head and neck cancers are caused by laryngeal cancer. However, the incidence and prevalence rates have decreased over the past 3 decades. Neck metastasis from cancer larynx is important to be addressed as its presence greatly reduces the probability of survival. However, quality of life should be taken into consideration. Hence, it was important to analyze factors related to neck metastasis from primary laryngeal cancer to detect any change of tumor behavior with time.

Results

One hundred thirty-eight patients underwent concomitant neck dissection with laryngectomy (total or partial). Supraglottic tumors had the greatest share in the neck metastasis with a count of 11 (of 26 neck metastasis), representing 42% and a total value of 11 (of 30 total supraglottic cancer) representing a tendency of spread in 37% of the total case number. Tumor midline crossing was present in 77% cases (20 of 26) with positive nodes, representing a P value 0.05.

Conclusion

This study investigated different factors related to lymph node metastasis from primary laryngeal tumor. The most important factors were the site of the tumor and its relation to the midline.

Occult lymph node metastasis in patients with laryngeal cancer and relevant predicting factors: a single-center experience

OBJECTIVE

To reveal the incidence and predictive parameters of occult cervical lymph node metastasis (LNM) in patients with cN0 laryngeal squamous cell cancer (LSCC) who underwent surgery as definitive treatment.

METHODS

Patients with cN0 laryngeal cancer who had undergone elective neck dissection together with partial or total laryngectomy between January 2006 and November 2020 were retrospectively analyzed. Clinical and histopathologic predictors of occult metastasis were also analyzed. Follow-up data were used to obtain recurrence and survival analysis.

RESULTS

A total of 86 patients with a mean age of 62.5 years were included in the study. Occult LNM was detected in 15 (17.4%) patients. Tumor grade, pT stage, thyroid cartilage invasion, and extralaryngeal extension were found to predict occult neck metastasis in univariate analysis. The mean follow-up time was 60.7 months and in the survival/recurrence analysis, pT stage, tumor location, tumor grade, presence of occult metastasis, pre-epiglottic space involvement. and extralaryngeal extension were found to predict poorer outcome.

CONCLUSION

Overall occult LNM is low (17.4%) in N0 laryngeal cancer, but the presence of LNM is a poor prognostic factor. Correct determination of the neck status and proper treatment is crucial. The incidence of LNM is very low in T1-T2 stages and well-differentiated tumors. The "wait and see" strategy may be applied in T1-T2 cases as well as selected T3 cases with well-differentiated tumors.