A device that measures low-level electrical current shows promise as an adjunct to screening mammography. Electrical impedance scanning, when done after mammography, may be more sensitive than ultrasound, according to research published in the April
A device that measures low-level electrical current shows promise as an adjunct to screening mammography. Electrical impedance scanning, when done after mammography, may be more sensitive than ultrasound, according to research published in the April issue of Clinical Radiology. The technique fails to match the sensitivity of breast MRI, however. Results of the comparative study suggest that EIS and ultrasound together could provide a viable alternative when MRI is contraindicated.
EIS relies on differences in conductivity between normal and cancerous tissue, indicated by the speed at which electricity travels through breast tissue. Low-impedance cancers (good conductors) show up on display monitors as bright white spots; normal tissue with higher impedance registers as gray. Because benign lesions have electrical properties noticeably different from malignancies, EIS can help rule out cancer in patients with mammographically suspect lesions, according to the authors. Reports of the technique’s sensitivity have varied significantly between institutions, however, and EIS has also been criticized for its low specificity.
FDA Approves Fluorescence Imaging System for Detecting Residual Breast Cancer
April 18th 2024The combination of the optical imaging agent Lumisight and the fluorescence imaging device Lumicell Direct Visualization System, collectively known as LumiSystem, reportedly offers 84 percent accuracy with real-time detection of residual breast cancer after lumpectomy procedures.
Study of Ofatumumab for Multiple Sclerosis Shows 'Profoundly Suppressed MRI Lesion Activity'
April 17th 2024The use of continuous ofatumumab in patients within three years of a relapsing multiple sclerosis diagnosis led to substantial reductions in associated lesions on brain MRI scans, according to research recently presented at the American Academy of Neurology (AAN) conference.
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
April 15th 2024Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.