NCT05523245Recruiting
Predicting the Efficacy of Neoadjuvant Therapy in Patients With Locally Advanced Rectal Cancer Using an AI Platform Based on Multi-parametric MRI
Source: ClinicalTrials.gov · Last updated 23 Apr 2026
Brief summary (registry, in English)
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.
- Status (registry)
- Recruiting
- Study type
- Observational
- Enrollment
- 1700 (estimated)
- First submitted
- 29 Aug 2022
- Start date
- 24 Jun 2022
- Primary completion date
- Dec 2026
- Lead sponsor
- Sixth Affiliated Hospital, Sun Yat-sen University
- Diseases
- Colorectal cancer
- NCT number
- NCT05523245
What you commit to
- Study type: Observational
- Planned participants: 1700
- From 24 Jun 2022 to the primary completion date, Dec 2026
- 4 sites in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Prior treatment
- Previous treatment for rectal cancer
- Not received neoadjuvant therapy or not completed neoadjuvant therapy
- No surgery
- Time interval between MRI and surgery was more than 2 weeks
Other illness
- History or combination of other malignant tumours
- Not Locally Advanced Rectal Cancer (LARC)
Other
- Poor magnetic resonance image quality, such as severe artifacts
- Patients were lost to follow-up and voluntarily withdrew from the study due to adverse reactions or other reasons
Who the study is looking for
- Clinical suspicion or colonoscopic pathology of rectal cancer
- Age over 18 years
- Informed consent and signed informed consent form
Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers
Sites (4)
Sites in registry order. Save your city in your profile to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Sixth Affiliated Hospital, Sun Yat-sen University Coordinator of this site? Confirm its status | Guangzhou | China | Recruiting |
| The second Affiliated Hospital of Guangzhou Medical University Coordinator of this site? Confirm its status | Guangzhou | China | Not yet recruiting |
| The First Affiliated Hospital of Jinan University Coordinator of this site? Confirm its status | Guangzhou | China | Not yet recruiting |
| Fifth Affiliated Hospital, Sun Yat-sen University Coordinator of this site? Confirm its status | Zhuhai | China | Not yet recruiting |
This page is information, not medical advice. Discuss any trial with your doctor.