To Develop and Validate a Nasoendoscopic Intelligent Diagnostic System for Nasopharyngeal Carcinoma : To Develop and Validate a Nasoendoscopic Intelligent Diagnostic System for Nasopharyngeal Carcinoma

Nasopharyngeal carcinoma (NPC) occurs at a high frequency in southern China, northern Africa, and Alaska, with a reported incidence of 30 cases per 100 000 in Guangdong Province. Endoscopic examination and biopsy are the main methods used for detection and diagnosis of NPC. Early NPC patients achieve favourable prognoses after concurrent radiotherapy and chemotherapy in compassion with advanced NPC patients.Here, the investigators focused on the utility of artificial intelligence to detect early NPC, which based on white light imaging (WLI) and Narrow-band imaging (NBI) nasoendoscopic examination. Having access to this unique population provides an unprecedented opportunity to investigate the effect of intelligent system on diverse nasopharyngeal lesions detection and develop a novel Computer-Aided Diagnosis System..

Medienart:

Klinische Studie

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

ClinicalTrials.gov - (2024) vom: 20. Feb. Zur Gesamtaufnahme - year:2024

Sprache:

Englisch

Links:

Volltext [kostenfrei]

Themen:

610
Carcinoma
Nasopharyngeal Carcinoma
Otorhinolaryngologic Diseases
Recruitment Status: Recruiting
Study Type: Observational

Anmerkungen:

Source: Link to the current ClinicalTrials.gov record., First posted: September 14, 2020, Last downloaded: ClinicalTrials.gov processed this data on February 28, 2024, Last updated: February 28, 2024

Study ID:

NCT04547673
ZSYY2020

Veröffentlichungen zur Studie:

fisyears:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

CTG00351417X