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.
Four Strategies to Address the Tipping Point in Radiology
January 17th 2025In order to flip the script on the impact of the radiology workforce shortage, radiology groups and practices need to make sound investments in technologies and leverage partnerships to mitigate gaps in coverage and maximize workflow efficiencies.
Can Generative AI Facilitate Simulated Contrast Enhancement for Prostate MRI?
January 14th 2025Deep learning synthesis of contrast-enhanced MRI from non-contrast prostate MRI sequences provided an average multiscale structural similarity index of 70 percent with actual contrast-enhanced prostate MRI in external validation testing from newly published research.
Can MRI-Based AI Enhance Risk Stratification in Prostate Cancer?
January 13th 2025Employing baseline MRI and clinical data, an emerging deep learning model was 32 percent more likely to predict the progression of low-risk prostate cancer (PCa) to clinically significant prostate cancer (csPCa), according to new research.