Actively Recruiting
Application of DCE-MRI Based on 4D FreeBreathing in Predicting the Efficacy of Immune and Targeted Therapy in Lung Cancer
Led by Yunnan Cancer Hospital · Updated on 2024-12-19
195
Participants Needed
1
Research Sites
89 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
This study aims to address the challenge of predicting the efficacy of targeted and immunotherapy in lung cancer patients. By utilizing two DCE-MRI images-one before treatment and one after one treatment cycle-along with the patients' clinical and pathological information, we aim to achieve accurate prediction of the therapeutic efficacy of targeted and immunotherapy in lung cancer patients.
CONDITIONS
Official Title
Application of DCE-MRI Based on 4D FreeBreathing in Predicting the Efficacy of Immune and Targeted Therapy in Lung Cancer
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Tumor size greater than 2 cm
- Age between 18 and 75 years
You will not qualify if you...
- Presence of MRI contraindications such as metal implants or pacemaker implantation
- Allergy to gadolinium contrast agents
- Lesions difficult to delineate on images due to atelectasis or diffuse lesions
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Yunnan Cancer Hospital
Kunming, Yunnan, China
Actively Recruiting
Research Team
Z
zhihui shi
CONTACT
Z
Zhenhui Li
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NA
Model
SINGLE_GROUP
Primary Purpose
TREATMENT
Number of Arms
1
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