Screening

Diagnostic screening programs help catch cancer, abnormalities or other diseases before they reach an advanced stage, saving lives and healthcare costs. Screening programs include, lung, breast, prostate, and cervical cancer, among many others.

AI model helps discern patients' need for supplemental breast imaging
New findings support the routine use of deep learning-based risk assessments, as this method can decrease subjectivity, reduce unnecessary imaging and improve diagnostic accuracy.
Financial, logistical reasons to blame for most missed cancer screenings
It may be more than anxiety and forgetfulness to blame for women missing their scheduled mammograms, according to new survey data.
Nearly half of women surveyed still think breast cancer screening starts at 50
The responses also suggested that a significant amount of women believe mammograms start before 40, highlighting a gap in screening policy knowledge.
Opportunistic AI detects colorectal cancer using routine, noncontrast CT
The COlorectal Cancer detection with AI, or COCA, model is a cost-effective, scalable solution that turns routine CT scans into opportunistic exams that can be used to proactively identify CRC.
'Defer to breast cancer diagnosis and treatment experts': Imaging leaders rail against new ACP breast cancer screening recs
Two respected radiology organizations have issued a stark warning on the new recommendations, stating that they risk confusing patients and “may contribute to thousands of additional breast cancer deaths each year.”

How 'mindlessly' following AI guidance impacts radiologist performance

Radiologists interpreting screening mammograms may be especially susceptible to falling victim to automation bias, as these exams are repetitive in nature.

Breast cancer risk assessments should account for longitudinal changes in breast density, new data suggest

Breast density is known to drop over time, but the rate at which density decreases merits special attention, as it could be associated with a woman’s chance of developing cancer.

Shear wave elastography assessment improves TI-RADS scoring

That’s according to an award-winning scientific online poster presented this week during the American Roentgen Ray Society’s annual meeting being held in Honolulu, Hawaii.

lung cancer imaging features associated with worse outcomes following missed diagnosis

Some imaging features of missed lung cancer indicate worse outcomes

Features pertaining to location, density and superimposed structures were recently found to be associated with poorer outcomes for patients who initially had their lung cancer overlooked on radiographs.

Comparison of a 2D digital mammogram and breast tomosynthesis 3D mammography from UCSF.

Radiologist performance has improved since the introduction of DBT for breast cancer screening

Since being approved by the U.S. Food and Drug Administration in 2011, DBT has become the most common method for breast cancer screening, and as of September 2022, 84% of all U.S. mammography screening facilities housed DBT units.

Follow-up adherence affected by how and when imaging orders are placed

These are factors that healthcare systems can and should control, experts recently suggested in a new JACR paper.

ChatGPT offers 'pretty amazing' recommendations on breast cancer screening, but oversight remains critical

A team of experts with the University of Maryland School of Medicine recently presented ChatGPT with a set of questions relative to breast cancer screening recommendations to determine whether the program could reliably offer appropriate guidance.

Automated breast ultrasound (ABUS) allows for reproducible breast imaging without variation based on which sonographer performs the exam. It also can help centers were they are short on qualified breast sonographers. Breast ultrasound can help identify cancers, or benign cysts, even in women with very dense breast tissue. At the GE Healthcare booth at RSNA.

Automated ultrasound excels for women with dense breasts

Could automated breast ultrasound replace handheld ultrasound?

Screening

AI model helps discern patients' need for supplemental breast imaging

Financial, logistical reasons to blame for most missed cancer screenings

Nearly half of women surveyed still think breast cancer screening starts at 50

Opportunistic AI detects colorectal cancer using routine, noncontrast CT

'Defer to breast cancer diagnosis and treatment experts': Imaging leaders rail against new ACP breast cancer screening recs