Spots Global Cancer Trial Database for DLCS for Predicting Neoadjuvant Chemotherapy Response
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Trial Identification
Brief Title: DLCS for Predicting Neoadjuvant Chemotherapy Response
Official Title: Deep Learning Radio-clinical Signatures for Predicting Neoadjuvant Chemotherapy Response and Prognosis From Pretreatment CT Images of LAGC Patients
Study ID: NCT05617469
Study Description
Brief Summary: The early noninvasive screening of patients suitable for neoadjuvant chemotherapy (NCT) is essential for personalized treatment in locally advanced gastric cancer (LAGC). The aim of this study was to develop and visualized a radio-clinical biomarker from pretreatment oversampled CT images to predict the response and prognosis to NCT in LAGC patients.
Detailed Description:
Keywords
Eligibility
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
Locations
Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, Zhejiang, China
Contact Details
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