Application of MRI Radiomics Features in Neoadjuvant Therapy of Head and Neck Squamous Cell Carcinoma

Brief summary (registry, in English)

Head and neck squamous cell carcinoma is the sixth most common malignant tumor in the world. Neoadjuvant therapy, including neoadjuvant chemotherapy and immunotherapy, is recommended for patients with locally advanced head and neck cancer. The response to neoadjuvant therapy varies among the patients. It is reported that about 37% of the patients achieve pathological complete response after receiving neoadjuvant therapy, who would achieve a better prognosis compared with the patients with non-pathological complete response. It is significant to predict and assess response to neoadjuvant therapy for the patients with head and neck cancer accurately, which could assist in formulating individualized therapeutic regimens. MRI has good soft tissue resolution and is a common preoperative examination method. However, this method lacks the ability to accurately predict the probability of patients achieving pathological remission after neoadjuvant therapy. At present, it is a novel and effective method to construct a model to predict the efficacy of neoadjuvant therapy based on MRI image omics analysis, and certain achievements have been made in breast cancer and rectal cancer. In this study, multi-sequence MRI was combined with clinical risk factors to construct an imaging omics model to predict the probability of pathological complete remission of patients with head and neck squamous cell carcinoma after neoadjuvant therapy, and to accurately identify diagnostic imaging remission, so as to better assist clinical decision-making.

What you commit to

• Study type: Observational
• Planned participants: 750
• From 25 Dec 2024 to the primary completion date, 31 Dec 2026
• 1 site in 1 country
• Visits and tests: ask the trial team, the registry does not list them

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Who the study is looking for

Age in the registry: 18 years to 80 years · Sex: All · Does not accept healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (1)

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