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| ID | Type | Description | Link |
|---|---|---|---|
| R21CA121568 | U.S. NIH Grant/Contract | View source |
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Slow accrual
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| Name | Class |
|---|---|
| National Cancer Institute (NCI) | NIH |
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This study investigates whether adding the optical imaging to magnetic resonance imaging can improve the diagnostic specificity of breast cancer.
This proposal will investigate the performance of a combined optical-MRI imaging system in diagnosis of breast cancer. A diffuse optical tomography (DOT) imaging system will be integrated with a 3.0 T MRI scanner. It is hypothesized that the additional information measured by the combined MRI/DOT system will improve the specificity of DCE-MRI (dynamic contrast enhanced MRI) in diagnosis of breast cancer.
High resolution anatomic MRI and DCE-MRI has evolved into a standard clinical tool for detection and diagnosis of breast lesions. Due to its high sensitivity MRI is fast becoming the most popular imaging modality for screening young women who are susceptible to early development of breast cancer. Pre-operative MRI has also become a common procedure for detecting multifocal or multicentric diseases to facilitate surgical planning. However, despite its high sensitivity, MRI also detects many benign lesions. The low specificity may lead to a great anxiety to patients, and many unnecessary biopsies or over-treatment. Other adjunct imaging modality to improve specificity is greatly needed. MR spectroscopy (MRS) and DOT are two techniques that have great potential to provide complementary information.
After the study is completed, we will be able to test the hypothesis that "additional information provided by MRS and optical imaging can be used in conjunction with morphological and kinetics parameters measured by DCE-MRI to improve diagnostic accuracy of breast cancer". Furthermore, we will be able to determine among these additionally collected information, which parameter(s) are the most essential in improving diagnostic accuracy.
Although the current breast imaging modalities have achieved a high success, further improvements for the subpopulation in whom conventional imaging does not work well are in great need. Our goal is to develop an imaging technology with optimized acquisition protocol to improve diagnosis of breast cancer, particularly for young women with dense breasts who need a breast MRI examination, so that they would not be subjected to false positive findings.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Disease Group | Experimental | Patients with suspicious breast diseases |
|
| Control Group | Experimental | Healthy volunteers for system testing |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Disease Group | Device | Participants will received the following agents before their imaging are taken MRI contrast agent (0.1 mmol/kg) optical contrast agent ICG (0.5 mg/kg) |
|
| Measure | Description | Time Frame |
|---|---|---|
| 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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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Min-Ying Su, PhD | University of California, Irvine | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Center for Functional Onco-Imaging, University of California | Irvine | California | 92697 | United States |
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| ID | Title | Description |
|---|---|---|
| FG000 | Disease Group | Patients with suspicious breast diseases |
| FG001 | Control Group | Healthy volunteers for system testing |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
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| ID | Title | Description |
|---|---|---|
| BG000 | Disease Group | Patients with suspicious breast diseases |
| BG001 | Control Group | Healthy volunteers for system testing |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Categorical | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | We had performed the combined MRI and optical imaging on two subjects. Due to the small sample size, there is low statistical power to conclude any findings. Study was terminated pre-maturely. All files have been destroyed per IRB requirement. No outcome measure data are available. | Posted | After we meet the enrollment target |
|
Disease group was followed up to 5 years. Healthy volunteer group was monitored for adverse events during imaging visit, and asked about their experiences immediately after imaging and before being released. There were no follow-up period for the healthy volunteer group.
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Disease Group | Patients with suspicious breast diseases. | 0 |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Professor | University of California Irvine | 949-824-6001 | msu@uci.edu |
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| ID | Term |
|---|---|
| D001943 | Breast Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
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| ID | Term |
|---|---|
| D035061 | Control Groups |
| ID | Term |
|---|---|
| D015340 | Epidemiologic Research Design |
| D004812 | Epidemiologic Methods |
| D008919 | Investigative Techniques |
| D012107 | Research Design |
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| Control Group | Device | Participants will received the following agents before their imaging are taken MRI contrast agent (0.1 mmol/kg) optical contrast agent ICG (0.5 mg/kg) |
|
| BG002 | Total | Total of all reporting groups |
| Participants |
|
| Sex: Female, Male | Count of Participants | Participants |
|
| Region of Enrollment | Count of Participants | Participants | No |
|
| Disease Group |
Patients with suspicious breast diseases |
| OG001 | Control Group | Healthy volunteers for system testing |
|
| 1 |
| 0 |
| 1 |
| 0 |
| 1 |
| EG001 | Control Group | Healthy volunteers for system testing | 0 | 1 | 0 | 1 | 0 | 1 |
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| D017437 |
| Skin and Connective Tissue Diseases |
| D008722 | Methods |