The Diagnostic Imaging (3/16) reported researchers from the Netherlands found that “screening performance in breast screening is dependent on risk category,” according to a study in the journal Radiology. The researchers “evaluated screening MR imaging and mammography for women who had an increased risk of breast cancer,” taking account of “risk category, age, recall for workup of screening-detected abnormalities, biopsy, and histopathologic diagnosis.” They “concluded that screening performance was dependent on risk category, with sensitivity lowest in carriers of the BRCA1 mutation.”
Aunt Minnie (3/14) reports that a study being presented at the upcoming American Roentgen Ray Society meeting shows that compared with mammography screening in women 50 and older, adding screening in women ages 40 to 49 finds 19.3 percent additional cancers. By adding the women ages 40 to 49 to the screening population of those 50 and older, “the overall callback rate increased 1.5%, the biopsy rate increased 0.1%, and 19.3% more cancers were detected,” according to researchers.
Aunt Minnie (3/14, Ridley) reports that research presented last month at the SPIE Medical Imaging 2018 conference in Houston demonstrated that an artificial intelligence algorithm may enable breast imagers to sharply reduce radiation dose from digital breast tomosynthesis (DBT) exams – perhaps by as much as 80 percent. A multi-institutional team led by Junchi Liu from the Illinois Institute of Technology in Chicago “developed a deep learning-based image processing technique that can convert lower-dose DBT images to virtual images that approximate higher-dose exams,” according to Aunt Minnie. In testing on images acquired on cadaver phantoms, the method yielded high-quality images at as little as 79 percent of the dose of standard DBT studies, according to the article.
MedPage Today (3/12, Bankhead) reports on a guideline issued by the American Society for Radiation Oncology (ASTRO) stating that “most women with breast cancer should receive accelerated whole-breast irradiation (WBI) as the standard of care.” The guideline adds that “accelerated, or hypofractionated, WBI is the preferred form of radiotherapy for breast cancer, regardless of a patient’s age, tumor stage, or whether the patient has received chemotherapy.”
The Radiology Business Journal (3/9, Walter) reported that “researchers used machine learning techniques to confirm that radiomic imaging features of breast tumors extracted from digital mammography are associated with breast cancer subtypes, according to a new study published in Academic Radiology.” The researchers “had the best results classifying subtypes by using a combination of mediolateral oblique view and craniocaudal view images.”