MRI

Catch up on the top radiology content of the past week.

In recognition of National Women’s Health Month, Dana Bonaminio, MD, Amy Patel, MD, and Stacy Smith-Foley, MD, shared their thoughts and perspectives on the recently updated breast cancer screening recommendations from the United States Preventive Services Task Force (USPSTF).

The artificial intelligence (AI)-powered module provides a prostate segmentation tool for MRI-guided transurethral ultrasound ablation (TULSA) procedures in patients with prostate cancer.

Catch up on the top radiology content of the past week.

In a recent lecture at the 2024 ARRS Annual Meeting, Jordana Phillips, MD, discussed the role of contrast-enhanced mammography in staging breast cancer, evaluating response to neoadjuvant chemotherapy and recalls from screening.

Using a learning network model to discuss challenges and share insights among radiology departments from five different organizations, researchers noted that 87 percent of audited prostate MRI exams had PI-QUAL scores > 4 at the conclusion of the collaborative program.

In a study involving over 1,000 visible prostate lesions on biparametric MRI, a deep learning algorithm detected 96 percent of clinically significant prostate cancer (csPCa) in comparison to a 98 percent detection rate for an expert genitourinary radiologist.

A point-based model that incorporates prostate MRI findings offered a sensitivity rate of 89.5 percent for detecting clinically significant prostate cancer and could prevent over 20 percent of biopsies, according to new research.

For neuroradiologists, the Signa Magnus 3T MRI system may offer enhanced visualization of the brain microstructure, microvasculature, and function.

Catch up on the top radiology content of the past week.

Supplemental breast MRI had a cancer detection rate (CDR) of 20/1000 and a positive predictive value (PPV) of 50 percent, according to preliminary findings from a prospective trial involving women with heterogeneously or very dense breasts.

In addition to enhanced resolution, the uMR Jupiter 5T device reportedly addresses image uniformity and radiofrequency safety that have been previous challenges with ultra-high-field MRI.

In finalized updates to breast cancer screening recommendations, the United States Preventive Services Task Force (USPSTF) advocates biennial mammography screening for women 40 to 74 years of age and notes insufficient evidence for the use of supplemental MRI in women with dense breasts.

Catch up on the most-well viewed radiology content in April 2024.

Catch up on the top radiology content of the past week.

Reportedly the smallest and thinnest implantable spinal cord stimulator (SCS) device, the Inceptiv closed-loop SCS modality allows access to 1.5T and 3T full-body MRI without power restrictions.

Catch up on the top AI-related news and research in radiology over the past month.

One of the recommendations from the European Society of Breast Imaging (EUSOBI) is annual breast MRI exams starting at 25 years of age for women deemed to be at high risk for breast cancer.

Catch up on the top radiology content of the past week.

Examining current trends in brain cancer diagnostics, these authors discuss diagnostic imaging advances, pathways with adaptive radiotherapy and the ongoing quest to provide optimal precision with dosimetry.

While noting inconsistencies with the diagnostic yield of cardiac MRI in patients who survived sudden cardiac arrest, researchers cited unique advantages in characterizing ischemic cardiomyopathy (ICM) and facilitating alternate diagnoses.

A recent meta-analysis found that multiparametric MRI and PET/CT had comparable detection rates for diagnosing prostate cancer recurrence.

The use of continuous ofatumumab in patients within three years of a relapsing multiple sclerosis diagnosis led to substantial reductions in associated lesions on brain MRI scans, according to research recently presented at the American Academy of Neurology (AAN) conference.

A new study shows that GPT-4 may offer comparable error detection rates to those of attendings and radiology residents in reviewing radiology reports, but researchers noted key caveats as well.

For the prediction of axillary lymph node metastasis in patients with breast cancer, an MRI-based, 4D convolutional neural network model demonstrated an AUC of 87 percent and sensitivity of 89 percent, according to new research.

Catch up on the top radiology content of the past week.

In a recent review, researchers examined the pros and cons of specialized scoring systems for prostate MRI, including the PI-QUAL score, PRECISE recommendations, PI-RR scoring and PI-FAB assessments.

Catch up on the top radiology content of the past week.

An MRI-based machine learning model demonstrated a comparable background parenchymal enhancement (BPE) hazard ratio to that of manual BPE assessment for breast cancer, according to a study of over 4,500 women with dense breasts.

Up to 48 percent of unnecessary prostate biopsies could be eliminated by limiting biopsy to patients with PI-RADS 4 and higher MRI assessments and a prostate-specific antigen density level below 0.15 ng/mL2, according to a new meta-analysis.