For the detection of obstructive coronary artery disease (CAD), stress cardiovascular magnetic resonance imaging (MRI) demonstrated a sensitivity rate of 81 percent and a specificity rate of 86 percent, according to a meta-analysis of 64 studies and data from 74,470 patients with stable chest pain.

Five artificial intelligence (AI) algorithms for mammography assessment were better at predicting breast cancer risk over five years than the Breast Cancer Surveillance Consortium (BCSC) risk model, according to new retrospective research involving over 13,000 women.

The use of contrast-enhanced computed tomography (CECT) was associated with more than double the risk of contrast-induced acute kidney injury (CI-AKI) in patients with diabetes and an estimated glomerular filtration rate (eGFR) less than 30 mL/min/1.73 m2 in comparison to the use of non-contrast CT in this population.

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In order to facilitate optimal detection and assessment of liver fibrosis and steatosis, the newly launched Hepatus 6 Diagnostic Ultrasound System offers the capabilities of real-time two-dimensional ultrasound with visual transient elastography in one device.

Powered by deep learning technology, Sonic DL reportedly facilitates the acquisition of cardiac magnetic resonance imaging (MRI) scans at 12 times the speed of conventional MRI systems.

Whether it’s attempting to get appropriate clinical histories from referring physicians or getting a tech to split up a multiphasic contrast study into separate image series, consistently striving to fight the good fight for optimal image interpretation is worth the effort.

For patients with residual or recurrent grade 2 isocitrate dehydrogenase (IDH)-mutant gliomas, magnetic resonance imaging (MRI) revealed that daily dosing of vorasidenib, an inhibitor of mutant IDH1 and IDH2 enzymes, led to a median progression-free survival of 27.7 months in comparison to 11.1 months in a placebo group, according to new research presented at the 2023 American Society of Clinical Oncology (ASCO) Annual Meeting in Chicago.

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The combination of Philips’ MR 7700 multi-nuclei scanner with the FDA-approved Xenoview hyperpolarized Xenon magnetic resonance imaging (MRI) contrast agent may facilitate earlier diagnosis and intervention for patients with obstructive lung diseases.

In a review of patient data from 42 countries, researchers found that standardized typical findings on computed tomography (CT) for COVID-19 had a pooled sensitivity rate of 70 percent and a pooled specificity rate of 90 percent.

The artificial intelligence (AI)-powered Ezra Flash reportedly enhances magnetic resonance imaging (MRI) and enables significant reductions in scan times and costs for full-body MRI.

Catch up on the top five most viewed content at Diagnostic Imaging for the month of May 2023.

In a large retrospective study involving over 523,000 digital breast tomosynthesis (DBT) exams and over one million digital mammography (DM) exams, researchers found that DBT was associated with significantly lower recall rates but showed no advantage over DM in the diagnosis of interval or advanced breast cancer.

Precision DL, a deep learning-based software which will be available on GE HealthCare’s Omni Legend PET/CT device, reportedly increases the detectability of small, low-contrast lesions by 42 percent.

Reportedly the first FDA-approved PSMA PET agent with proprietary radiohybrid technology, POSLUMA can be utilized for positron emission tomography (PET) scans of prostate-specific membrane antigen (PSMA) positive lesions in men with prostate cancer and suspected metastasis, and those with suspected prostate cancer recurrence based on an elevated serum prostate-specific antigen (PSA) level.

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Photon-counting computed tomography (PCCT) significantly increased the signal-to-noise ratio (SNR) and the contrast-to-noise ratio (CNR) in comparison to dual-source CT (DSCT) at similar radiation dosing, according to a new study of over 100 children with suspected congenital heart defects.

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In a study involving over 1,100 women diagnosed with breast cancer, researchers found that 48.7 percent of women alive or dead from other causes at a median follow-up of 11.7 years had moderately dense breasts. They also found that 46 percent of women who died from breast cancer at a median-follow-up of 5.3 years had moderately dense breasts.