By: The ASCO Post Staff From: ascopost.com Patients may be less likely to return for subsequent screening mammography following a false-positive recall for additional imaging or biopsy, according to a recent study published by Miglioretti et al in the Annals of Internal Medicine. The findings raised concerns regarding the potential unintended consequences of false-positive results on the continued participation of …
Half of all women experience false positive mammograms after 10 years of annual screening
Source: University of California – Davis Health From: sciencedaily.com A study led by UC Davis Health has found that half of all women will experience at least one false positive mammogram over a decade of annual breast cancer screening with digital breast tomosynthesis (3D mammography). The risk of false positive results after 10 years of screening is considerably lower in …
Decreasing Breast Cancer False Positives with NV-VPAC1-PET Scan Technology
By: Jill Helmke, Paul Crowe From: oncozine.com Despite technological advancements in the healthcare industry, breast cancer remains a major health problem. Self-examination and annual screening mammograms continue to be the most common methods used for early detection. Although cancer screenings have become a controversial topic, the importance of early diagnosis is undisputed [1][2]. Nevertheless, there is a critical need to …
3D Mammograms: Are They Worth It?
Source: Cedars-Sinai News Cedars-Sinai Breast Radiologist Explains the Procedure, Who Should Get It and Why If it’s October, it’s Breast Cancer Awareness Month, when pink ribbons sprout up on everything from suit lapels to yogurt containers, reminding women to turn their attention to breast health — especially mammograms. As 3D mammography, also called digital breast tomosynthesis, has become more available …
Zebra Medical Vision Announces New Algorithm For Better Diagnosis of Breast Cancer
Shefayim, Israel – October 2016 – Zebra Medical Vision, a leading deep learning imaging analytics company, is announcing a new software algorithm for detecting breast cancer. The algorithm provides superior results compared to current tools, reducing misdiagnosis and false alarms. The researcher behind the algorithm, Phil Teare, lost his wife to cancer at an early age, and taught himself machine learning …