Extranodal extension (ENE) refers to the spread of head and neck squamous cell carcinoma (HNSCC) outside the lymph nodes. It is a well-known factor that indicates a poorer prognosis and outcome for patients who have undergone surgical removal of the cancer. In such cases, it is recommended to combine chemotherapy with radiation therapy after surgery. As the number of cases of HNSCC related to the human papillomavirus (HPV) is increasing, treatment approaches have shifted towards using radiation therapy as the primary treatment method instead of surgery. This raises an important question about the significance of ENE observed through imaging tests (referred to as iENE) and its impact on the prognosis. Unfortunately, this question remains unanswered. The objective of this project is to conduct a comprehensive study across multiple medical institutions. The investigators will gather data including scan results, histopathology reports, and data from patient charts from individuals who have been treated for head and neck cancer. The aim is to analyze and correlate the findings between the pathological evidence of ENE and the imaging results, while also assessing the prognostic value of iENE. Additionally, the investigators will explore the influence of HPV status on these factors. By collecting and analyzing this data, the investigators hope to establish standardized criteria that can assist radiologists in accurately identifying ENE through imaging tests. This research is essential for enhancing our understanding of HNSCC and improving the effectiveness of diagnostic procedures and treatment planning.
Age range
18 Years
Sex
ALL
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To assess the accuracy of the identification of iENE by radiologists in real world situations by correlating with histopathology (pENE)
Timeframe: 31 December 2023
To evaluate the prognostic significance (overall survival rates) of iENE.
Timeframe: 31 December 2023
To evaluate the prognostic significance (recurrence rates) of iENE
Timeframe: 31 December 2023
To evaluate the prognostic significance (overall survival rates) of iENE: Risk stratify HNSCC patients based on presence of radiographic ENE, according to their HPV status and N stage
Timeframe: 31 December 2023
To evaluate the prognostic significance (recurrence rates) of iENE: Risk stratify HNSCC patients based on presence of radiographic ENE, according to their HPV status and N stage
Timeframe: 31 December 2023