Lung Cancer
Conditions
Brief summary
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.
Interventions
DIAGNOSTIC_TESTApplication Value of MRI Imaging in Treatment Decision-Making for Lung Cancer
Chest MRI scans outside of the standard treatment protocol
Sponsors
Yunnan Cancer Hospital
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
TREATMENT
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
No
Inclusion criteria
1. Tumor size greater than 2 cm 2. Age between 18 and 75 years
Exclusion criteria
1. Presence of MRI contraindications (e.g., metal implants, pacemaker implantation, etc.) 2. Allergy to gadolinium contrast agents 3. Lesions difficult to delineate on images due to conditions such as atelectasis or diffuse lesions
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Tumor treatment response evaluation | within one week before treatment and two weeks after treatment completion | This study aims to evaluate tumor treatment response using the RECIST V1.1 criteria, based on CT images taken within one week before treatment and two weeks after treatment completion. |
Countries
China
Contacts
Primary Contactzhihui shi
Backup ContactZhenhui Li
Outcome results
None listed