Combined MRI and Optical Imaging to Improved Breast Cancer Diagnosis

Not Applicable

Terminated

Conditions: Breast Cancer

Interventions: Device: Disease Group
Device: Control Group

Registration Number: NCT00610467

Lead Sponsor: University of California, Irvine

Brief Summary: This study investigates whether adding the optical imaging to magnetic resonance imaging can improve the diagnostic specificity of breast cancer.

Detailed Description: 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.

Recruitment & Eligibility

Status: TERMINATED

Sex: Female

Target Recruitment: 2

Inclusion Criteria

A female older than 21 years of age,
Have suspicious imaging findings suggesting a possibility of breast cancer, or biopsy-proven breast cancer.

Exclusion Criteria

Pregnant,
Unwilling to give informed consent,
Have implanted prosthetic heart valves, pacemaker, neuro-stimulation devices, surgical clips (hemostatic clips) or other metallic implants,
Have engaged in occupations or activities which may cause accidental lodging of ferromagnetic materials, or have imbedded metal fragments from military activities,
Have received orthodontic work involving ferromagnetic materials,
Claustrophobic,
Have had allergic response to contrast agents (such as iodine or gadolinium) previously,
Have known history of severe renal insufficiency, asthma, allergic conditions, sickle cell anemia, chronic hemolytic anemia, and gastrointestinal disorders.

Study & Design

Study Type: INTERVENTIONAL

Study Design: PARALLEL

Arm && Interventions

Group	Intervention	Description
Disease Group	Disease Group	Patients with suspicious breast diseases
Control Group	Control Group	Healthy volunteers for system testing

Primary Outcome Measures

Name	Time	Method
Sensitivity, Specificity, and Overall Accuracy in Differentiating Between Benign and Malignant Lesions	After we meet the enrollment target	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

Secondary Outcome Measures