Over 1650 Total Lots Up For Auction at Seven Locations - FL 10/18, NJ 10/19, MN 10/20, NY 10/22, NY 10/25, TX 10/28, CA 10/29

The next wave in breast imaging

July 19, 2021
Women's Health
From the July 2021 issue of HealthCare Business News magazine

By Henry Izawa

They’re mothers, daughters, sisters, spouses, friends, and neighbors.
While 1 in 8 women will receive a diagnosis of breast cancer at some point in her lifetime, the good news is that today there are over 3.5 million survivors in the United States.

Breast imaging will continue to play a critical role in catching cancers earlier, increasing chances for survival, and helping to eradicate the disease. There are three key avenues where we can expect new advances to drive more accurate diagnosis, rapid treatment, increased compliance, and better outcomes.

Servicing GE/Siemens Nuclear Medicine equipment with OEM trained engineers

Numed, a well established company in business since 1975 provides a wide range of service options including time & material service, PM only contracts, full service contracts, labor only contracts & system relocation. Call 800 96 Numed for more info.

The first is artificial intelligence. AI has the potential to reshape modern healthcare. Research suggests that AI can work collaboratively alongside the radiologist to improve efficiency in screening mammography.

While larger data sets are needed before we can fully leverage AI in breast imaging, one key opportunity concerns decreasing false positives compared with presently available CAD solutions. AI also has the potential to improve workflow by flagging priority cases and directing mammographers to suspect areas. These exams would then automatically move up in the queue so radiologists can review and diagnose them immediately and efficiently prescribe next steps.

Since AI is scalable and has the potential to provide affordable, accurate initial interpretation for many mammograms, it offers the promise of boosting access to screening for underserved communities in extremely high patient caseloads while lowering costs.

For example, a triage approach could significantly reduce overall workload for clinicians, while maintaining high diagnostic accuracy. In this scenario, the majority of women with mammograms confidently interpreted as normal by the AI software could be recommended for routine mammography the following year, where the remainder of women would be referred for further clinician interpretation and work-up. This method is currently being pilot tested in remote parts of India.

The second key avenue is patient comfort. Only 67% of women receive their screenings on schedule, according to the American Cancer Society. In response, the industry is continuously putting a focus on patient comfort to increase compliance and referrals.

Time and again, studies have shown that fear and anxiety are barriers to mammography. In one study of 9,000 women, 13% cited physical pain and another 13% said they feared getting bad news as the reasons for skipping screenings.

You Must Be Logged In To Post A Comment