Three-dimensional (3D) slice-to-volume (SVR) fetal magnetic resonance imaging (MRI) has over six times the fetal optic pathway visualization rate of standard two-dimensional MRI, according to new research presented at the American Roentgen Ray Society (ARRS) 2023 Annual Meeting in Honolulu, Hawaii.

In a recent video interview, Kathy Schilling, M.D., discussed findings from a study of ProFound AI, an adjunctive artificial intelligence (AI) software for digital breast tomosynthesis (DBT), that demonstrated a 23 percent increase in breast cancer detection in comparison to DBT alone.

Comparing year-long findings with and without adjunctive artificial intelligence (AI) at a breast cancer screening program in Spain, researchers found the combination of digital breast tomosynthesis and AI had a 92.5 percent accuracy for diagnosing cancer in patients with elevated risk.

In a cum laude awarded presentation at the European Congress of Radiology (ECR), researchers discussed misconceptions and pertinent principles for magnetic resonance imaging (MRI) of patients with rectal cancer, ranging from the diagnosis of mucinous tumors to the impact of mesorectal fascia status for rectal cancer recurrence.

The new launches include the 80/160-slice computed tomography (CT) scanner Aquilion Serve, which allows simultaneous previews of axial, lateral and AP views, and Celex, a multipurpose X-ray system that offers automated and customizable features to help maximize workflow efficiencies.

In a video interview from the recent American Society of Clinical Oncology Genitourinary Cancers (ASCO GU) Symposium, Brian Chapin, MD, discussed emerging research that demonstrated the ability of the positron emission tomography (PET) agent 18F-rhPSMA-7.3 to diagnose distant M1 lesions prior to surgery for patients with intermediate to high-risk prostate cancer.

In a video interview at the recent Radiological Society of North America (RSNA) conference, Wayne Dell, M.D., discussed retrospective research that examined the use of hyperlinked multimedia radiology reports across modality and subspecialty five years after initial implementation of the technology at the University of Virginia.

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

In the second part of a recent interview, Nina Kottler, M.D., M.S., discussed keys to evaluating the potential value of artificial intelligence (AI) systems and emerging developments with AI that were discussed at the recent Radiological Society of North America (RSNA) conference.

In a recent interview from the Radiological Society of North America (RSNA) conference, Mary Yamashita, M.D. discussed a variety of findings from a survey of over 8,000 women about breast density awareness, challenges with current breast density notification after mammography exams, and the ongoing need to educate patients as well as referring providers on breast density awareness.

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

Check out the top radiology content of the past week.

Catch up on our RSNA 2022 interviews with Tessa Cook, MD, Nina Kottler, MD, Eliot Siegel, MD and more.

In a video interview discussing one of her recent lectures at the Radiological Society for North America (RSNA) conference, Nina Kottler, M.D., M.S., noted how the combination of artificial intelligence (AI) and radiologist experience can help mitigate bias limitations with the development of AI algorithms as well as educational biases inherent to a radiologist’s training and experience.

In an interview at the recent Radiological Society of North America (RSNA) conference, Alex Pozdnyakov, M.D. discussed findings from a new meta-analysis, which revealed that prostate-specific membrane antigen/positron emission tomography (PSMA PET) imaging in patients with prostate cancer recurrence led to treatment changes that resulted in a pooled 60.2 percent rate of prostate cancer-free survival at 20 months.

In a recent interview at the Radiological Society of North America (RSNA) conference, Eliot Siegel, M.D., discussed a variety of potential benefits with cloud-based image management in radiology, ranging from enhanced data security and economies of scale to improved access to a variety of artificial intelligence (AI) solutions to increase efficiency.

In a recent video interview from the Radiological Society of North America (RSNA) conference, Tessa Cook, MD, PhD discussed new research on automated de-identification in radiology reports and the potential of artificial intelligence (AI) and natural language processing (NLP) to help address time-consuming challenges in the radiology workflow.

For patients recently diagnosed with prostate cancer, the emerging positron emission tomography (PET) agent 18F-rhPSMA-7.3 reportedly has a 96 percent specificity rate for detecting pelvic lymph node metastases, according to Phase 3 study results recently presented at the 22nd Annual Scientific Meeting of the Society of Urologic Oncology (SUO).

In a recent video interview, Susan Holley, MD discussed key findings from a large retrospective longitudinal study, presented at the recent Radiological Society of North America (RSNA) conference, which found that an emerging artificial intelligence (AI) model was over 24 percent more consistent than radiologist assessment of breast density.

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