Pure Global AI
NCT05855291Completed

PET/MRI in Predicting the Outcome of Neoadjuvant Chemoradiotherapy With Esophagectomy in Esophageal Cancer Patients

Investigating the Role of Integrated 18FDG-PET/MRI in Predicting the Treatment Outcome of Neoadjuvant Concurrent Chemoradiotherapy Followed by Esophagectomy for Patients With Esophageal Cancer
Chang Gung Memorial HospitalClinicalTrials.govdiagnostic test
Study focus
Disease/Condition
Esophageal Cancer
Drug/Device/Intervention
PET/MRI
Study type
Interventional
Intervention type
diagnostic test
Sponsor & location
Primary sponsor
Chang Gung Memorial Hospital
Location
Taoyuan, Taiwan
Timeline & enrollment
Phase
N/A
Start date
Jan 22, 2018
End date
Jul 31, 2021
Enrollment
43 participants
Primary outcome

Overall survival

Summary

Integrated PET/MRI has the advantage to assess the metabolism, diffusion, and perfusion
 parameters of the tumor simultaneously. Recently, PET/MRI has been investigated in several
 cancers with promising results. In this study, we prospectively investigate the role of
 multiparametric PET/MRI in evaluating the outcome of patients with esophageal cancer treated
 by neoadjuvant chemoradiotherapy and surgery.

ICD-10 classifications
Carcinoma in situ: OesophagusMalignant neoplasm of oesophagusMalignant neoplasm: Middle third of oesophagusMalignant neoplasm: Overlapping lesion of oesophagusMalignant neoplasm: Upper third of oesophagus
Data source
Registry
ClinicalTrials.gov
Trial ID
NCT05855291
Type
Non-Device Trial
About this record

Access comprehensive clinical trial information for NCT05855291 through Pure Global AI's free database. This phase not specified trial is sponsored by Chang Gung Memorial Hospital and is currently Completed. The study focuses on Esophageal Cancer. Target enrollment is 43 participants.

This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.