Clin2
NCT06366828Likely a fitRecruiting

Predicting complications after esophageal cancer treatment

The Aim of This Project is to Develop and Validate NTCP-models for Complications After nCRT (and Surgical Resection)

Part of Cancer, Digestive system clinical trials.

This study looks at past medical records of people with esophageal cancer who received chemotherapy and radiation before surgery. Researchers want to find better ways to predict who might have complications after surgery, so they can improve care for future patients.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
2,000 people
Ages
18 years to 100 years
Study type
Observational

Who can take part

  • You have a confirmed or suspected esophageal cancer tumor (not a rare type like sarcoma or neuroendocrine).
  • You are 18 or older.
  • Your cancer has not spread to distant organs (no stage IV).
  • You have a good performance status (able to care for yourself, up and about at least half the day).
  • You were treated with chemotherapy and radiation (nCRT) and then had surgery to remove your esophagus between 2015 and 2021 at one of the study centers.

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

Similar studies

Other trials that look related to this one.

NCT07054086Recruiting
Personalized treatment testing with tumor models for esophageal cancer

This trial tests whether a personalized treatment plan, chosen using a lab-grown model of your tumor, works better than standard therapy for esophageal cancer that can be surgically removed. It aims to find the most effective drugs for you before surgery.

Shanghai, Shanghai Municipality
NCT07642401Enrolling by invitation
Building models to understand esophageal cancer

This research study uses medical records and imaging from patients with various esophageal conditions—from inflammation to cancer—to develop better diagnostic and prediction tools. Researchers want to understand what changes in the esophagus lead to cancer and how to catch it earlier.

Anyang, Henan
NCT06762652Not yet recruiting
Improved recovery after esophagus surgery using a smart monitoring plan

This study tests a new way to monitor patients after surgery to remove the esophagus, using a computer algorithm to spot complications early. If you are having this surgery for esophageal cancer, this might help you recover more safely.

NCT05706558Recruiting
Study of esophageal cancer surgery records

This study looks back at past patients’ medical and pathology records from esophageal cancer surgeries. It may help improve how doctors understand which advanced tumors should be treated, by reviewing outcomes in specific tumor stages.

New York, New York
NCT07354295Recruiting
Using AI to predict treatment response in esophageal cancer

This trial uses a combination of imaging and clinical data to see if a computer model can predict how well your treatment will work. It aims to help doctors better understand your cancer risk and choose the best treatment plan for you.

Wuhan, Other (Non U.s.)
NCT06361043Recruiting
Adaptive radiation therapy for esophageal cancer

This study tests a new, more precise type of radiation therapy for esophageal cancer that adjusts the treatment in real time using a special CT scan. It aims to deliver a stronger dose to the tumor while sparing healthy tissue, which could improve outcomes.

Bern

Hear when a new The Aim of This Project is to Develop and Validate NTCP-models for Complications After nCRT (and Surgical Resection) trial opens

We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.