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Spots Global Cancer Trial Database for Predicting Neoadjuvant Therapy Response of Rectal Cancer With MRI

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We do not endorse or review these studies in any way.

Trial Identification

Brief Title: Predicting Neoadjuvant Therapy Response of Rectal Cancer With MRI

Official Title: Predicting Neoadjuvant Therapy Response of Rectal Cancer With MRI

Study ID: NCT02640586

Study Description

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.

Keywords

Eligibility

Minimum Age: 18 Years

Eligible Ages: ADULT, OLDER_ADULT

Sex: ALL

Healthy Volunteers: No

Locations

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

Shanxi Cancer Hospital, Taiyuan, Shanxi, China

Contact Details

Name: Ying-Shi Sun, MD

Affiliation: No.52 Fu Cheng Road, Hai Dian District, Beijing, 10142

Role: STUDY_CHAIR

Useful links and downloads for this trial

Clinicaltrials.gov

Google Search Results

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