Latest Conference Articles

Deep Learning Detection of Mammography Abnormalities: What a New Study Reveals

In multiple mammography datasets with the original radiologist-detected abnormality removed, deep learning detection of breast cancer had an average area under the curve (AUC) of 87 percent and an accuracy rate of 83 percent, according to research presented at the recent Society for Imaging Informatics in Medicine (SIIM) conference.

Expediting the Management of Incidental Pulmonary Emboli on CT

In a recent video interview from the Society for Imaging Informatics in Medicine (SIIM) conference, Ali Tejani, M.D., discussed pertinent insights on leveraging the value of adjunctive artificial intelligence (AI)-enabled triage software for computed tomography (CT) scans with radiology workflow improvements to achieve “clinically meaningful change” for patients with incidental pulmonary emboli findings.

PSMA PET Imaging May Offer Key Prognostic Markers for Prostate Cancer

For patients initially diagnosed with non-metastatic, castration-resistant prostate cancer, pelvic lymph node involvement and five or more polymetastases detected with prostate-specific membrane antigen (PSMA)/ positron emission tomography (PET) are significantly associated with lower overall survival rates, according to recently presented research at the American Society of Clinical Oncology (ASCO) conference.

Could Gamification Enhance Brain MRI Acquisition?

FIRMM-pix, a brain magnetic resonance imaging (MRI) software module recently launched at the International Society for Magnetic Resonance in Medicine (ISMRM) conference, reportedly employs visual biofeedback and gamification that coaches patients to stay still during brain MRI exams.

MRI Findings Show Vorasidenib More Than Doubles Progression-Free Survival in Patients with Grade 2 IDH Gliomas

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.

New Study Shows Viability of Adjunctive AI for Breast Ultrasound

Adjunctive use of an artificial intelligence (AI) software demonstrated nearly equivalent sensitivity and over 28 percent higher accuracy in comparison to radiologist assessment of breast ultrasound images for breast lesions, according to new research presented at the recent Society of Breast Imaging (SBI) conference.

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 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.

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.