RecruitingNCT05523245

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

Sponsor

Sixth Affiliated Hospital, Sun Yat-sen University

Enrollment

1,700 participants

Start Date

Jun 24, 2022

Study Type

OBSERVATIONAL

Conditions

Rectal Cancer

Summary

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 constructed by conventional MRI to evaluate the role of DL in MRI predicting CRT. And this study also tries to build a DL platform to assess the efficacy of LARC neoadjuvant radiotherapy and chemotherapy, accurately assess patients' complete respose (pCR) after CRT, and provide an important basis for guiding clinical decision-making.

Eligibility

Min Age: 18 Years

Plain Language Summary

Simplified for easier understanding

This study is using MRI imaging to identify patterns that can predict how well rectal cancer responds to pre-surgery treatment (neoadjuvant therapy — chemotherapy and/or radiation given before surgery) in patients with locally advanced rectal cancer. **You may be eligible if...** - You are 18 years or older - You have been clinically or biopsy-diagnosed with rectal cancer - Your cancer is locally advanced (not yet spread widely) - You have received and completed neoadjuvant (pre-surgery) therapy - You have had surgery to remove the cancer - You have given informed consent **You may NOT be eligible if...** - Your MRI scan quality is too poor (significant artifacts) - You have been previously treated for rectal cancer - You have another active cancer - Your cancer was not locally advanced - You did not complete neoadjuvant therapy - You did not have surgery - The time between your MRI and surgery was more than 2 weeks Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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