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.

Neiman Institute highlights key policy issues and solutions in radiology
Elizabeth Rula, executive director of the ACR-backed research outfit, discusses how to solve staffing shortages, prior authorization issues, and other key issues facing radiology.
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.

Study urges radiologists to report CAC findings on all chest CTs, regardless of clinical indication

Although current guidelines recommend radiologists evaluate CAC on all non-gated, non-contrast chest CT scans, the authors of the study note that these guidelines are not consistently followed.

CT colonography screening remains widely underutilized

The results of a survey completed by more than 13,000 respondents who were eligible for the cancer screening revealed that less than 2% of eligible participants underwent CTC exams.

Stratifying patients by risk of poor outcomes could reduce overtreatment of lung cancer

Researchers are using radiomics to narrow patient cohorts down to those who are at the greatest risk of poor lung cancer outcomes.

AI-based mammo screening protocol reduces radiologist workload by 62%

Researchers reported that the artificial intelligence system was able to interpret more than 114,000 screening mammograms using a reading protocol with high sensitivity and specificity.

Experts highlight 'suboptimal' rates of CMS-required shared decision making encounters prior to LDCT

These findings underscore the need for better implementation of shared decision-making (SDM) models, as well as more thorough counseling documentation, as low-dose CT (LDCT) lung screen coverage is dependent on these factors, experts suggested.

Significant disparities exist in utilization of self-scheduling radiology exams, research shows

Researchers revealed that less than 1% of more than 46,000 patients took advantage of online self-scheduling tools.

'Surprising' decline in annual screening among breast cancer survivors has experts concerned

The downward trend in annual mammography adherence should serve as a call to action for new processes to engage breast cancer survivors, physicians urged.

Men treated for prostate cancer have increased fracture risk, yet few complete DXA screening

Out of 50,000 men included in the study, 17.5% sustained a fracture after beginning prostate cancer treatment, but only 7.9% received such scans.

Screening

Neiman Institute highlights key policy issues and solutions in radiology

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