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Clinical Trials in China / NCT06831357
Recruiting Observational

Development and Validation of a Deep Learning Model to Predict Distant Metastases in Nasopharyngeal Carcinoma Using Whole Slide Imaging and MRI

NCT06831357 · tracked via the Priya Life Science China tracker
Sponsor
Sun Yat-sen University
Phase
Observational
Started
2025-02-15
Last updated
2025-02-25

Condition(s) studied

Nasopharyngeal Cancinoma (NPC)Distant Metastasis

Study summary

An AI model was developed to predict the likelihood of distant metastasis in patients with nasopharyngeal cancer based on pathology slides and MRI scans of the primary tumor. The model was validated using data from multiple centers. It was then applied to patients with advanced stages who were recommended to undergo PET/CT scans based on the NCCN or CSCO guidelines. This AI model can accurately screen patients with high risk of distant metastasis at the time of initial diagnosis to receive PET/CT, avoid excessive examination of patients with low risk of distant metastasis, save medical resources and reduce the economic burden on patients.

Eligibility

Sex
ALL
Min age
—
Max age
—
Healthy volunteers
No
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.).

Primary outcome measure(s)

  • Negative predictive value — through study completion, an average of 2 year
    NPV measures the proportion of predicted negative cases that are actually negative. It tells us how reliable the model is when it predicts a negative outcome.

Trial sites (2)

FacilityCityRegionStatus
Department of Radiation Oncology, Sun Yat-sen University Cancer Center Guangzhou Guangdong Not Yet Recruiting
Sun Yat-sen University Cancer Center Guangzhou Guangdong Recruiting

More Sun Yat-sen University trials in China

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Garsorasib In KRAS G12C Mutant Locally Advanced and Metastatic NSCLC Starting soon
BRIDGE Study: Neoadjuvant Finotonlimab, Cetuximab, and Docetaxel in Resectable Recurrent HNSCC After Immunotherapy Progression Enrolling by invitation
Maintenance Immunotherapy With Deferred Salvage Radiotherapy After Response to Chemoimmunotherapy in Recurrent Nasopharyngeal Carcinoma Recruiting

Other trials for the same condition

Sodium Bicarbonate for Reducing Radiation-Induced Oral Mucositis in Nasopharyngeal Carcinoma. Active, not recruiting
Maintenance Immunotherapy With Deferred Salvage Radiotherapy After Response to Chemoimmunotherapy in Recurrent Nasopharyngeal Carcinoma Recruiting
Prevention and Treatment of Radiation-Induced Oral Mucositis in NPC With Houyanqing Oral Liquid Recruiting
Becotatug Vedotin for LA-NPC With a Suboptimal Response to Induction Chemotherapy Combined With Immunotherapy Recruiting
Reduced-dose vs Standard-dose Irradiation for Low-risk Clinical Target Volume in Nasopharyngeal Carcinoma. Active, not recruiting
Official registry record

This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.

View NCT06831357 on ClinicalTrials.gov ↗ ← All trials in China