Oncology MRI

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

Reviewing recent changes to the Barcelona Clinic Liver Cancer (BCLC) staging system for hepatocellular carcinoma and the potential impact for interventional radiologists, these authors discuss key updates including the subdivision of patients with intermediate stage disease and emerging literature on systemic agents for advanced disease.

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

In a new study that may have implications for breast cancer surgery, researchers found that shorter time to enhancement (TTE) on preoperative ultrafast magnetic resonance imaging (MRI) was significantly associated with escalation of ductal carcinoma in situ (DCIS) to invasive breast cancer.

In a new study of 1,232 women diagnosed with breast cancer within a year of a screening mammography exam, researchers found that interval breast cancer was 17 percent more likely in women with dense or extremely dense breasts, and over three times more likely to involve stage 2 or higher primary tumors in comparison to screening-detected breast cancer.

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

While acknowledging a moderate to high risk of bias in the retrospective studies reviewed for a recent meta-analysis, researchers found the current evidence supports the use of high-intensity magnetic resonance imaging (MRI) surveillance for detection of soft tissue sarcoma recurrence.

In a review of 22 studies and data from over 132,000 women with dense breasts and negative mammography exams, researchers found that magnetic resonance imaging (MRI) was superior to digital breast tomosynthesis, handheld ultrasound and automated whole breast ultrasound for the detection of breast cancer.

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

In a multicenter study involving nearly 300 patients, researchers found that abbreviated magnetic resonance imaging (MRI) had a sensitivity rate of 88.2 percent and a specificity rate of 89.1 percent for detecting early-stage hepatocellular carcinoma (HCC).

Check out the top radiology content of the past week.

Emerging research suggests that magnetic resonance imaging (MRI) may help downgrade nearly 10 percent of suspected BI-RADS 3 lesions from ultrasound imaging

Catch up on the most well-read magnetic resonance imaging (MRI) articles from 2022.

Catch up on the most well-viewed video interviews from Diagnostic Imaging in 2022.

Touching on a variety of topics in radiology, here are the top five most well-read articles from Diagnostic Imaging in 2022.

Catch up on the top AI-related news and research of the past month.

Check out the top radiology content of the past week.

In addition to summary sensitivity and specificity of 92 percent and 91 percent respectively for characterization of indeterminate adnexal lesions, the meta-analysis on pelvic magnetic resonance imaging (MRI) revealed higher summary malignancy rates for O-RADS MRI 4 and 5 lesions than predicted.

The Food and Drug Administration has granted 510(k) clearance to iQuest (Avenda Health), an artificial intelligence (AI) platform that combines findings from magnetic resonance imaging (MRI), pathology reports and biopsy results to facilitate three-dimensional mapping of prostate cancer.

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

In a recent lecture at the Radiological Society of North America (RSNA) conference, Wendy DeMartini, MD, discussed a variety of preliminary proposed changes to the Breast Imaging Reporting and Data System (BI-RADS) for breast magnetic resonance imaging (MRI) examinations.

In what may be the first study to assess the effectiveness of biparametric magnetic resonance imaging (MRI) for prostate cancer screening in a large cohort, researchers found that MRI screening had a significantly lower false positive rate and significantly higher positive predictive values (PPVs) than prostate-specific antigen (PSA)-based screening.

Recently launched at the Radiological Society of North America (RSNA) conference, the SIGNA Experience reportedly features synergistic technologies and artificial intelligence (AI) advances that help improve the efficiency and quality of magnetic resonance imaging.

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

In a recently published article, researchers from Yale University discuss the pros and cons of current FDA regulations as they apply to the clearance and use of adjunctive artificial intelligence (AI) software with conventional breast cancer screening modalities such as mammography.