Molecular breast imaging

Abstract

Molecular breast imaging (MBI) is a new nuclear medicine technique that utilizes small semiconductor-based γ-cameras in a mammographic configuration to provide high-resolution functional images of the breast. Current studies with MBI have used Tc-99m sestamibi, which is an approved agent for breast imaging. The procedure is relatively simple to perform. Imaging can be performed within 5 min postinjection, with the breast lightly compressed between the two detectors. Images of each breast are acquired in the craniocaudal and mediolateral oblique projections facilitating comparison with mammography. Key studies have confirmed that MBI has a high sensitivity for the detection of small breast lesions. In patients with suspected breast cancer, MBI has an overall sensitivity of 90%, with a sensitivity of 82% for lesions less than 10 mm in size. Sensitivity was lowest for tumors less than 5 mm in size. Tumor detection does not appear to be dependent on tumor type, but rather on tumor size. Studies using MBI and breast-specific γ-imaging have shown that these methods have comparable sensitivity to breast MRI. A large clinical trial compared MBI with screening mammography in over 1000 women with mammographically dense breast tissue and increased risk of breast cancer and showed that MBI detected two-to three-times more cancers than mammography. In addition, MBI appears to have slightly better specificity than mammography in this trial. MBI provides high-resolution functional images of the breast and its potential applications range from evaluation of the extent of disease to a role as an adjunct screening technique in certain high-risk populations. MBI is highly complementary to existing anatomical techniques, such as mammography, tomosynthesis and ultrasound.

Keywords::

• breast cancer
• breast MRI
• mammography
• molecular breast imaging
• screening
• Tc-99m sestamibi

Financial & competing interests disclosure

This work was funded in part by grants from the Susan G Komen Foundation, NIH (CA 128407) and the Department of Defense (W81XWH-07–01–0548). Michael O’Connor has provisional patents filed on tumor quantification and dose reduction techniques for molecular breast imaging and has received a research grant from GE Healthcare. Carrie Hruska has provisional patents filed on tumor quantification and dose reduction techniques for molecular breast imaging. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

No writing assistance was utilized in the production of this manuscript.