Mammography

A symptomatic first breast cancer diagnosis, prevailing breast density at a second breast cancer diagnosis and trabecular thickening on surveillance mammography were linked to mammogram-occult ipsilateral breast cancer, according to new research.

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In a study looking at the impact of experience and case volume of breast screening radiologists, researchers found that reviewing more than 150 cases per week was necessary to achieve an 80 percent rate of true-positive assessments for malignant calcifications.

Mean artificial intelligence (AI) scoring for breasts developing cancer was double that of contralateral breasts at initial biennial screening and was 16 times higher at the third biennial screening, according to a study involving over 116,000 women with no prior history of breast cancer.

For patients with extremely dense breasts, contrast-enhanced mammography offered greater than 60 percent higher sensitivity than low-energy mammography for diagnosing breast cancer, according to new research.

The inclusion of the 3D imaging technology PlatinumTomo in the Mammomat B.brilliant device reportedly enables clinicians to obtain 50-degree 3D images in less than five seconds.

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While researchers noted no significant impact on sensitivity rates, they found that access to a patient’s prior mammograms resulted in a nearly 15 percent increase in sensitivity for current mammography interpretation.

In a study involving over 272,000 breast cancer screening exams, digital breast tomosynthesis (DBT) had a higher breast cancer detection rate and a lower rate of advanced cancer presentation at the time of diagnosis in comparison to digital mammography.

Identifying over 23 percent of interval breast cancers with a 96 percent sensitivity in mammography interpretation, an emerging AI software also facilitated correct localization in over 75 percent of cases involving interval breast cancer, according to new research.

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Digital breast tomosynthesis (DBT) had a significantly higher cancer detection rate (CDR) in comparison to two consecutive post-DBT rounds of digital mammography, according to a new secondary analysis of the Malmo Breast Tomosynthesis Screening Trial (MBTST).

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Intended for mammography and digital breast tomosynthesis (DBT) interpretation, the device reportedly emphasizes high-definition image quality and ease of use for radiologists.

For women with dense breasts, the combination of mammography and supplemental breast ultrasound had a 36.4 percent higher sensitivity rate for detecting breast cancer in comparison to the combination of mammography and adjunctive AI, according to a new study.

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After being informed about the benefits and risks associated with screening mammography, over a third of women polled indicated a preference to delay breast cancer screening.

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The AISmartDensity software facilitated a cancer detection rate (CDR) with breast MRI that was nearly four times higher than the CDR previously reported in trials involving traditional breast density assessment.

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The combination of mammography with breast MRI within 90 days had a 96.2 percent sensitivity in comparison to 48.1 percent for mammography and 79.7 percent for breast MRI performed within 91 to 270 days after index mammography, according to newly published research.

Noting significant variation with facilities for achieving passing criteria for mammography positioning, researchers found that structured interventions, ranging from weekly auditing of images taken by technologists to mechanisms for feedback from radiologists to technologists, led to significant improvements in a multicenter study.

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Emerging research suggests that combining full-field digital mammography and whole-breast ultrasound tomography provides superior sensitivity in detecting BI-RADS 4 lesions and superior specificity in diagnosing BI-RADS 3 lesions than mammography alone in women with dense breasts.

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In a study of asymptomatic women at elevated risk for breast cancer, digital breast tomosynthesis (DBT) demonstrated equivalent sensitivity to full-field digital mammography (FFDM) for three out of four reviewing radiologists and detected no additional cancers beyond those detected with FFDM.

Offering comparable sensitivity to radiologists for detecting contralateral breast cancer on mammography images, an emerging adjunctive AI software may also facilitate earlier diagnosis, according to study findings presented at the at the 2024 American Society of Clinical Oncology (ASCO) Annual Meeting.