Development and internal validation of risk stratification tool for lymph node metastasis in pT3-4 laryngeal squamous cell carcinoma patients
Objective: To identify risk factors for Lymph Node Metastasis (LNM) in pT3-4 Laryngeal Squamous Cell Carcinoma (LSCC) patients with negative margins, and develop a nomogram to predict LNM risk. Methods: 872 patients were divided into training (2010–2014) and validation (2015–2016) cohorts. Univariat...
| الحاوية / القاعدة: | Brazilian Journal of Otorhinolaryngology |
|---|---|
| المؤلفون الرئيسيون: | , , , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
Elsevier
2025-03-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://www.sciencedirect.com/science/article/pii/S1808869424001502 |
| _version_ | 1850307503627173888 |
|---|---|
| author | Changding He Yu Heng Xiaoke Zhu Jian Zhou Lei Tao |
| author_facet | Changding He Yu Heng Xiaoke Zhu Jian Zhou Lei Tao |
| author_sort | Changding He |
| collection | DOAJ |
| container_title | Brazilian Journal of Otorhinolaryngology |
| description | Objective: To identify risk factors for Lymph Node Metastasis (LNM) in pT3-4 Laryngeal Squamous Cell Carcinoma (LSCC) patients with negative margins, and develop a nomogram to predict LNM risk. Methods: 872 patients were divided into training (2010–2014) and validation (2015–2016) cohorts. Univariate and multivariate analyses identified LNM risk factors. A nomogram incorporating significant factors was developed in the training cohort. Results: Smoking history, maximal tumor diameter ≥3.0 cm, depth of tumor invasion >1.0 cm, and supraglottic tumor location were significantly associated with LNM on multivariate analysis. A predictive nomogram incorporating these factors showed good discrimination (C-index > 0.7) in both cohorts. Patients were stratified into low, moderate and high-risk subgroups based on total risk scores. Conclusions: A LNM risk prediction model and risk grouping system was established, which may aid treatment selection for pT3-4 LSCC patients. The model and algorithm could help optimize neck management for this high-risk patient population. Level of evidence: 2. |
| format | Article |
| id | doaj-art-ea0d7f87929541caa0bbe8ea3eb962ce |
| institution | Directory of Open Access Journals |
| issn | 1808-8694 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| spelling | doaj-art-ea0d7f87929541caa0bbe8ea3eb962ce2025-08-19T23:28:41ZengElsevierBrazilian Journal of Otorhinolaryngology1808-86942025-03-0191210153510.1016/j.bjorl.2024.101535Development and internal validation of risk stratification tool for lymph node metastasis in pT3-4 laryngeal squamous cell carcinoma patientsChangding He0Yu Heng1Xiaoke Zhu2Jian Zhou3Lei Tao4Fudan University, Department of Otorhinolaryngology, Eye and ENT Hospital, Shanghai, ChinaFudan University, Department of Otorhinolaryngology, Eye and ENT Hospital, Shanghai, ChinaFudan University, Department of Otorhinolaryngology, Eye and ENT Hospital, Shanghai, ChinaFudan University, Department of Otorhinolaryngology, Eye and ENT Hospital, Shanghai, ChinaCorresponding author.; Fudan University, Department of Otorhinolaryngology, Eye and ENT Hospital, Shanghai, ChinaObjective: To identify risk factors for Lymph Node Metastasis (LNM) in pT3-4 Laryngeal Squamous Cell Carcinoma (LSCC) patients with negative margins, and develop a nomogram to predict LNM risk. Methods: 872 patients were divided into training (2010–2014) and validation (2015–2016) cohorts. Univariate and multivariate analyses identified LNM risk factors. A nomogram incorporating significant factors was developed in the training cohort. Results: Smoking history, maximal tumor diameter ≥3.0 cm, depth of tumor invasion >1.0 cm, and supraglottic tumor location were significantly associated with LNM on multivariate analysis. A predictive nomogram incorporating these factors showed good discrimination (C-index > 0.7) in both cohorts. Patients were stratified into low, moderate and high-risk subgroups based on total risk scores. Conclusions: A LNM risk prediction model and risk grouping system was established, which may aid treatment selection for pT3-4 LSCC patients. The model and algorithm could help optimize neck management for this high-risk patient population. Level of evidence: 2.http://www.sciencedirect.com/science/article/pii/S1808869424001502Laryngeal squamous cell carcinomaLymph node metastasisRisk stratification |
| spellingShingle | Changding He Yu Heng Xiaoke Zhu Jian Zhou Lei Tao Development and internal validation of risk stratification tool for lymph node metastasis in pT3-4 laryngeal squamous cell carcinoma patients Laryngeal squamous cell carcinoma Lymph node metastasis Risk stratification |
| title | Development and internal validation of risk stratification tool for lymph node metastasis in pT3-4 laryngeal squamous cell carcinoma patients |
| title_full | Development and internal validation of risk stratification tool for lymph node metastasis in pT3-4 laryngeal squamous cell carcinoma patients |
| title_fullStr | Development and internal validation of risk stratification tool for lymph node metastasis in pT3-4 laryngeal squamous cell carcinoma patients |
| title_full_unstemmed | Development and internal validation of risk stratification tool for lymph node metastasis in pT3-4 laryngeal squamous cell carcinoma patients |
| title_short | Development and internal validation of risk stratification tool for lymph node metastasis in pT3-4 laryngeal squamous cell carcinoma patients |
| title_sort | development and internal validation of risk stratification tool for lymph node metastasis in pt3 4 laryngeal squamous cell carcinoma patients |
| topic | Laryngeal squamous cell carcinoma Lymph node metastasis Risk stratification |
| url | http://www.sciencedirect.com/science/article/pii/S1808869424001502 |
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