Breast Cancer Clinical Trial
Official title:
Combined MRI and Optical Imaging to Improved Breast Cancer Diagnosis
| Verified date | April 2020 |
| Source | University of California, Irvine |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Interventional |
This study investigates whether adding the optical imaging to magnetic resonance imaging can improve the diagnostic specificity of breast cancer.
| Status | Terminated |
| Enrollment | 2 |
| Est. completion date | October 30, 2017 |
| Est. primary completion date | October 30, 2016 |
| Accepts healthy volunteers | Accepts Healthy Volunteers |
| Gender | Female |
| Age group | 21 Years to 90 Years |
| Eligibility |
Inclusion Criteria: 1. A female older than 21 years of age, 2. Have suspicious imaging findings suggesting a possibility of breast cancer, or biopsy-proven breast cancer. Exclusion Criteria: 1. Pregnant, 2. Unwilling to give informed consent, 3. Have implanted prosthetic heart valves, pacemaker, neuro-stimulation devices, surgical clips (hemostatic clips) or other metallic implants, 4. Have engaged in occupations or activities which may cause accidental lodging of ferromagnetic materials, or have imbedded metal fragments from military activities, 5. Have received orthodontic work involving ferromagnetic materials, 6. Claustrophobic, 7. Have had allergic response to contrast agents (such as iodine or gadolinium) previously, 8. Have known history of severe renal insufficiency, asthma, allergic conditions, sickle cell anemia, chronic hemolytic anemia, and gastrointestinal disorders. |
| Country | Name | City | State |
|---|---|---|---|
| United States | Center for Functional Onco-Imaging, University of California | Irvine | California |
| Lead Sponsor | Collaborator |
|---|---|
| University of California, Irvine | National Cancer Institute (NCI) |
United States,
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | Sensitivity, Specificity, and Overall Accuracy in Differentiating Between Benign and Malignant Lesions | ROC curves obtained using the regression statistical approach and the artificial neural network will be used to assess the sensitivity, specificity, and overall accuracy in differentiating between benign and malignant lesions. The ROC curves using the optimized morphological and kinetic parameters measured by DCE-MRI will be obtained first, then compared to ROC curves analyzed using the optimized DCE-MRI parameters with the addition of (1) Choline measured by MRS, (2) hemoglobin concentration and oxygen saturation measured by steady state DOT, and (3) transport rates in ICG kinetics measured by dynamic DOT | After we meet the enrollment target |
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