Personalized therapeutic strategies and prognosis for advanced laryngeal squamous cell carcinoma: Insights from machine learning models

Employing multimodal therapies such as surgery and radiotherapy is crucial for managing advanced-stage LSCC. Tailored approaches that consider prognostic factors such as age, sex, and tumor stage are necessary. Additionally, chemotherapy did not significantly impact overall survival, suggesting potential areas for improvement in LSCC management.

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Publication Details

Journal
American Journal of Otolaryngology
Published
2025-04-24
DOI
https://doi.org/10.1016/j.amjoto.2025.104633
Citations
2
Primary Topic
Head and Neck Cancer Studies
Type
article
Field-Weighted Citation Impact
3.70
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article

Personalized therapeutic strategies and prognosis for advanced laryngeal squamous cell carcinoma: Insights from machine learning models

Hamdah Hanifa, Sakhr Alshwayyat, Alia Alawneh, Mustafa Alshwayyat et al.
2 citations
American Journal of Otolaryngology
Head and Neck Cancer Studies
3.70
article

Personalized therapeutic strategies and prognosis for advanced laryngeal squamous cell carcinoma: Insights from machine learning models

Hamdah Hanifa, Sakhr Alshwayyat, Alia Alawneh, Mustafa Alshwayyat, Tala Abdulsalam Alshwayyat, Haya Kamal, Kholoud Qassem, Raghad Al-Shami
article en
2 citations

Abstract

Employing multimodal therapies such as surgery and radiotherapy is crucial for managing advanced-stage LSCC. Tailored approaches that consider prognostic factors such as age, sex, and tumor stage are necessary. Additionally, chemotherapy did not significantly impact overall survival, suggesting potential areas for improvement in LSCC management.

American Journal of OtolaryngologyVol. 46(4)
University of Jordan (JO), Jordan University of Science and Technology (JO), King Hussein Cancer Center (JO), Jordan Hospital (JO), University of Kalamoon (SY)
Openalex Percentile: Top 8%
Head and Neck Cancer Studies
3.70
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