Development and Validation of a Deep Learning Model to Predict Distant Metastases in Nasopharyngeal Carcinoma Using Whole Slide Imaging and MRI
Launched by SUN YAT-SEN UNIVERSITY · Feb 14, 2025
Trial Information
Current as of July 06, 2025
Recruiting
Keywords
ClinConnect Summary
This clinical trial is exploring a new artificial intelligence (AI) model designed to help predict whether nasopharyngeal carcinoma (NPC), a type of cancer that affects the area behind the nose and throat, has spread to other parts of the body. The researchers are using advanced imaging techniques, like pathology slides and MRI scans, to train the AI model. By doing this, they aim to identify which patients are at high risk for distant metastasis (where cancer spreads to other areas) right at the time of their initial diagnosis. This way, the model can help ensure that patients who need further tests, like PET/CT scans, receive them while avoiding unnecessary tests for those who are at low risk.
To participate in the trial, individuals must have a confirmed diagnosis of nasopharyngeal carcinoma and be in advanced stages (specifically, T3-4 or N2-3). Participants will undergo various imaging tests to assess their condition. The goal of this study is not only to improve patient care by identifying high-risk individuals more accurately but also to save medical resources and reduce costs for patients. If you or someone you know is diagnosed with NPC and meets the eligibility criteria, this trial may provide an opportunity to contribute to important cancer research.
Gender
ALL
Eligibility criteria
- Inclusion Criteria:
- • A. The primary lesion was pathologically confirmed as nasopharyngeal carcinoma (WHO classification is I, II and III); B. The stage was T3-4 or N2-3, and the nasopharynx + neck MRI plain scan and enhanced scan were performed to confirm the nasopharyngeal and cervical lymph node lesions, and PET/CT or conventional examination (chest CT plain scan + enhanced scan, upper abdominal CT or MRI plain scan + enhanced scan or abdominal color Doppler ultrasound or ultrasound angiography, and whole body bone imaging) was performed to screen for distant metastases.
- Exclusion Criteria:
- • Previous history of other malignant tumors (such as other head and neck squamous cell carcinomas, thyroid cancer, breast cancer, esophageal cancer, etc.).
About Sun Yat Sen University
Sun Yat-sen University, a prestigious institution located in Guangzhou, China, is dedicated to advancing medical research and healthcare innovations. As a leading clinical trial sponsor, the university leverages its extensive academic resources and collaboration with top-tier medical professionals to conduct rigorous clinical studies. Committed to improving patient outcomes and contributing to global health knowledge, Sun Yat-sen University focuses on a wide range of therapeutic areas, employing cutting-edge methodologies to ensure the integrity and efficacy of its research initiatives. Through its clinical trials, the university aims to foster scientific advancements and enhance the quality of care provided to patients both locally and internationally.
Contacts
Jennifer Cobb
Immunology at National Institute of Allergy and Infectious Diseases (NIAID)
Locations
Guangzhou, Guangdong, China
Guangzhou, Guangdong, China
Guangzhou, Guangdong, China
Patients applied
Timeline
First submit
Trial launched
Trial updated
Estimated completion
Not reported