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.”

Imaging surveillance program detects pancreatic cancer in its earliest stages

Individuals at high risk of pancreatic cancer benefit from annual imaging and have decreased mortality rates compared to those who forgo preventive screening.

CMS shoots down request to reconsider CTC cancer screening coverage

In the June 29 announcement, the ACR revealed CMS said the additional evidence provided to them was “insufficient” to support the reconsideration of their non-coverage decision.

Screening mammograms are not as effective as they once were

This is a trend that researchers believe will persist as disease management continues to improve.

A comparison of standard 2D mammography (right) and digital breast tomosynthesis (DBT), or 3D mammography (left). The DBT creates a data set of 1 mm slices that the radiologist can look through to see more detail in suspect areas and determine if it dense breast tissue is masking a tumor.

DBT is better for women with increased breast cancer risks

For the research, special attention was paid to women with dense breasts and other factors that raise their risk of a breast cancer diagnosis.

Example of various breast MRI protocol sequences that offer different types of soft tissue enhancement. Imaging performed on a Siemens Magnetom system. Breast MRI can help see through dense breast tissue to better detect cancers. #densebreasts #Breastdensity #BreastMRI

Contrast enhanced breast MRI superior to CEM, but accessibility remains an obstacle

In addition to CE-MRI's increased sensitivity for identifying breast cancers, the researchers also found the modality had superior negative likelihood ratios with higher pre-test probabilities for safely ruling out malignancy.

CT scan showing lung cancer nodules with measurements of each nodule to track growth or regression from treatment. Image courtesy of RSNA

Downgrading lung nodules at 3-month follow-up 'may be problematic'

A new analysis suggests that follow-up imaging protocols for certain lung nodules identified via CT may need to be revisited.

DBT not the superior modality for assessing BI-RADS 4 breast lesions

Assessing more than 11,000 patients with lesions designated as BI-RADS 4, radiologists using digital breast tomosynthesis found no significant diagnostic advantages over standard 2D mammography.

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Recognizing intimate partner violence injuries on imaging before they escalate

“These findings emphasize the importance of early recognition of IPV and timely intervention to prevent further harm to the victim,” authors of research published in Academic Radiology cautioned.

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