Predicting Neoadjuvant Therapy Response of Rectal Cancer With MRI
- Conditions
- Rectal Neoplasms
- Registration Number
- NCT02640586
- Lead Sponsor
- Sun Ying-Shi
- Brief Summary
The purpose of this study is to investigate if MRI scans performed after neoadjuvant radiotherapy can predict the therapeutic response of rectal cancer following preoperative chemo-radiotherapy. This will help doctors to better tailor treatments for rectal cancer in the future.
- Detailed Description
We proposed to constructed multi-parameter predictive model for predicting therapeutic response and pathological complete response(pCR) of patients with rectal cancer who received neoadjuvant chemoradiation. MR radiomics,convolutional neural networks, morphological parameters and quantitative functional parameters derived from diffusion-weighted MR images will be integrated for model construction.
Recruitment & Eligibility
- Status
- ACTIVE_NOT_RECRUITING
- Sex
- All
- Target Recruitment
- 1614
- Age > 18 years
- T3/4 or node positive biopsy-proved primary rectal cancer
- Suitable for pre-operative chemoradiotherapy and surgical resection
- No contraindication to MRI
- Ability to understand and the willingness to sign a written informed consent document
- History or concurrent of other cancer
- Previous therapy to pelvis
- Unable/unwilling to have MRI
- Pacemaker or implanted defibrillator
- Pregnancy, lactation or inadequate contraception
- Patients with a history of psychological illness or condition such as to interfere with the patient's ability to understand requirements of the study
- Unwilling or unable to give informed consent
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Primary Outcome Measures
Name Time Method Predictive value of eary MRI (14-16 days MRI) for assessing pathological complete response(pCR) at surgery 2 years A scoring system for predicting pCR will be developed based on MRI parameters and their changes between baseline and early MRI. No viable cancer cells seen in the resection specimen is regarded as pCR
Predictive value of preoperative MRI(7-9 weeks after the completion of preoperative chemo-radiotherapy) for assessing pCR 2 years A scoring system for predicting pCR will be developed based on MRI parameters
- Secondary Outcome Measures
Name Time Method Predictive value of eary MRI (14-16 days after initiation of preoperative radio-chemotherapy) for assessing pathological response according to Tumour Regression Grade (TRG) 2 years A scoring system for predicting pathological response will be developed based on MRI parameters and their changes between baseline and early MRI.TRG1 is regarded as responder, and TRG2/3 is regarded as non-responder.
Feasibility of conducting MRI scans at 7-9 weeks after preoperative radio-chemotherapy 2 years This will be assessed in terms of whether MR imaging at 7-9 weeks after preoperative radio-chemotherapy adds any additional predictive value to imaging performed 14-16 days after initiation of preoperative radio-chemotherapy.
MRI-predicted pCR and MRI-predicted response on long-term disease control and survival 3 years 3 years disease-free survival and overall survival will be assessed
Predictive value of preoperative MRI(7-9 weeks after the completion of preoperative chemo-radiotherapy) for assessing pathological response according to Tumour Regression Grade (TRG) 2 years A scoring system for predicting pathological response will be developed based on MRI parameters and their changes between baseline and early MRI.TRG1 is regarded as responder, and TRG2/3 is regarded as non-responder.
Trial Locations
- Locations (11)
Peking University Cancer Hospital
🇨🇳Beijing, Beijing, China
Beijing Chao Yang Hospital
🇨🇳Beijing, Beijing, China
Beijing Friendship Hospital Capital Medical University
🇨🇳Beijing, Beijing, China
Chinese Academy of Medical Sciences, Cancer Hospital & Institute
🇨🇳Beijing, Beijing, China
The First Affiliated Hospital of Chongqing Medical University
🇨🇳Chongqing, Chongqing, China
Guangxi Cancer Hospital
🇨🇳Guilin, Guangxi, China
Hubei Cancer Hospital
🇨🇳Wuhan, Hubei, China
Hunan Cancer Hospital
🇨🇳Changsha, Hunan, China
Jilin Cancer Hospital
🇨🇳Changchun, Jilin, China
The First Affiliated Hospital of Jilin University
🇨🇳Changchun, Jilin, China
Scroll for more (1 remaining)Peking University Cancer Hospital🇨🇳Beijing, Beijing, China