In findings from an enriched cohort of asymptomatic patients with screening-detected abnormalities, researchers found that contrast-enhanced mammography (CEM) was superior to conventional mammography and offered equivalent detection of breast cancer in comparison to breast MRI and abbreviated breast MRI.
For patients who had a complete metabolic response to radiation treatment for head and neck cancer, the authors of a recent study found that surveillance imaging with PET/CT, MRI or CT did not improve outcomes in comparison to expectant management.
Catch up on the top radiology content of the past week.
Emphasizing factors such as tumor size, serum neutrophil count and arterial phase hyperenhancement proportion on MRI, a new diagnostic model outperformed eight staging systems for predicting advanced recurrence of hepatocellular carcinoma after liver resection.
Catch up on the top radiology content of the past week.
In a recent video interview series, Dushyant Sahani, M.D., discussed the critical role of contrast media in diagnostic imaging, lessons learned from the contrast media shortage, key considerations with generic agents and currently unmet needs with contrast agents.
New research shows that pelvic MRI offers equivalent sensitivity but nearly 20 percent greater specificity than transvaginal ultrasound for the classification of adnexal lesions.
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In a study of over 375,000 people, researchers found that a high liver MRI proton density fat fraction was associated with an over 7.5-fold higher risk for non-alcoholic steatohepatitis, a 4.5-fold higher risk for malignancy, and a 3.8-fold elevated risk for cirrhosis of the liver.
The update of the S-scan magnetic resonance imaging (MRI) system reportedly offers an improved ergonomic design, algorithms to enhance image quality and reduced scan times.
A 49-study meta-analysis revealed that MRI-based and CT-based radiomics models outperformed clinical models for predicting recurrence of hepatocellular carcinoma.
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In a newly published literature review, researchers examined the benefits of diffusion-weighted imaging (DWI) magnetic resonance imaging (MRI) for breast cancer characterization and monitoring of neoadjuvant chemotherapy, current drawbacks that thwart wider adoption, and emerging techniques that may enhance the modality’s effectiveness.
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Review the case study and test your knowledge to make the correct diagnosis.
Catch up on the top radiology news of the past week.
The MAGNETOM Viato.Mobile may facilitate improved access to MRI capabilities for patients with serious health conditions who lack geographic proximity to centers with advanced imaging.
Catch up on the top AI-related news and research in radiology over the past month.
Catch up on the top radiology news of the past week.
New research suggests the capability of a mammography-based deep learning model to identify women at high risk of breast cancer led to more than triple the cancer detection rate on breast MRI in comparison to traditional risk assessment tools.
A robotic guidance and placement system, the IGAR system can be utilized inside of a magnetic resonance imaging (MRI) bore.
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Through the use of artificial intelligence (AI) and imaging modalities such as ultrasound, CT, and MRI, the newly FDA-cleared VisAble.IO software reportedly enhances planning and real-time assessment for liver tumor ablation procedures.
Catch up on the top radiology content of the past week.
Wayne G. Brisbane, MD, of the University of California, Los Angeles, discussed the challenges of focal therapy for prostate cancer and how Unfold AI can help improve the accuracy of this treatment, as well as help counsel patients during the treatment decision process.
