Using MRI and CT to Evaluate Tumor Response in Esophageal Cancer Treatment
Official title: MRI and CT Simulation in the Evaluation of Tumor Response and Target Volume Definition for Esophageal or Esophagogastric Cancer Patients Undergoing Chemoradiotherapy
Run by Cancer Institute and Hospital, Chinese Academy of Medical Sciences · NCT02988921 · Data updated 2026-11-12
This study tests whether MRI can better track how well treatment is working for people with esophageal cancer compared to regular CT scans.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 300 (estimated) |
| Sponsor | Cancer Institute and Hospital, Chinese Academy of Medical Sciences Academic / other |
| Drugs / interventions | chemotherapy, radiation |
| Locations | 1 site (Beijing) |
| Status | Recruiting |
| Started | October 2016 |
| Main results expected | January 2025 |
| Study ends | December 2026 |
| Registry record updated | November 24, 2023 |
| Trial ID | NCT02988921 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include adults over 18 with histologically confirmed esophageal or esophagogastric junction cancer that is unresectable or potentially resectable.
✕Probably not a fit
Patients with contraindications for MRI, distant metastasis beyond supraclavicular lymph nodes, or prior thoracic radiation or chemotherapy may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study investigates the effectiveness of magnetic resonance imaging (MRI) compared to conventional CT simulation in assessing tumor response and defining target volumes for patients with esophageal or esophagogastric cancer undergoing chemoradiotherapy. Patients will undergo both MRI and CT scans before treatment, after 18-22 fractions of therapy, and post-treatment to evaluate changes in tumor characteristics. The study aims to establish predictive models based on imaging features to improve treatment planning and patient outcomes.
Why it matters
Potential benefit: If successful, this study could enhance the accuracy of tumor response assessment and treatment planning, potentially leading to better patient outcomes.
How similar studies have gone: While this approach is innovative, similar studies have shown promise in utilizing advanced imaging techniques for cancer treatment evaluation.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Histologically confirmed squamous cell carcinoma, adenocarcinoma of the esophageal or esophagogastric junction * Unresectable or potentially resectable tumor (cT3-4N0-1M0-M1a, according to AJCC 6th) based on standard primary staging by EUS and CT * Age\>18 years * No distant metastasis other than supraclavicular lymph nodes * No prior history of thoracic radiation or chemotherapy * Patients must have normal organ and marrow function as defined below: Leukocytes: greater than or equal to 3,500 G/L; Platelets: greater than or equal to 100,000/mm3 .Hemoglobin:greater than or equal to 10g/L .Total bilirubin: within normal institutional limits; AST/ALT: less than or equal to 1.5 times the upper limit; Creatinine within normal upper limits * Informed consent Exclusion Criteria: * Contraindication for MRI scanning * Patients with other cancer history except cervical carcinoma in situ and non-malignant melanoma skin cancer * Pregnant or lactating females * Contraindication for radiotherapy or chemotherapy
Where it's running
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Department of Radiation Oncology, Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC)
Beijing, China Recruiting
Study contacts
- Study coordinator: Xin Wang, MD
- Email: beryl_wx2000@163.com
- Phone: +861013311583220
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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Chemoradiotherapy for esophageal and esophagogastric junction cancer
This study is testing a new combination of chemotherapy, radiation, and immune therapies to see if it helps people with advanced esophageal or esophagogastric junction cancer live longer and feel better.
-
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-
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AI prediction of response to pre-surgery chemoimmunotherapy for esophageal cancer
This project tests whether combining clinical records, CT scans, pathology, and lab results with deep learning can predict which patients with locally advanced esophageal cancer will respond to neoadjuvant chemoimmunotherapy before surgery.
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.