Predicting the Efficacy of Neoadjuvant Therapy in Patients With Locally Advanced Rectal Cancer Using an AI Platform Based on Multi-parametric MRI

Recruiting Observational Study
Rectal Cancer
No Placebo Group Every participant receives an active treatment — no one gets a placebo. No Study Drug Researchers observe your health over time — no experimental treatment is given.
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At a Glance
Age
18 and older
Sex
Any
Study type
Observational
Participants needed
1,700 (estimated)
Sponsor
Sixth Affiliated Hospital, Sun Yat-sen University · Other
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About This Trial
Establish a deep learning model based on multi-parameter magnetic resonance imaging to predict the efficacy of neoadjuvant therapy for locally advanced rectal cancer.This study intends to combine DCE with conventional MRI images for DL, establish a multi-parameter MRI model for predicting the efficacy of CRT, and compare it with the DL and non-artificial quantitative MRI diagnostic model construct…
Trial Locations
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Eligibility Criteria
Inclusion Criteria: * Clinical suspicion or colonoscopic pathology of rectal cancer * Age over 18 years * Informed consent and signed informed consent form Exclusion Criteria: * Poor magnetic resonance image quality, such as severe artifacts * Previous treatment for rectal cancer * History or com…
Contacts

Xiaochun Meng

13719166488

mengxch3@mail.sysu.edu.cn

CONTACT

Peiyi Xie

13724071514

xiepy6@mail.sysu.edu.cn

CONTACT