In patients with high-risk, hormone sensitive prostate cancer who had no evidence of metastasis on conventional imaging, PSMA PET revealed polymetastatic disease in 24 percent of patients and M1 disease staging in 46 percent of patients.

Adjunctive AI offered greater than seven percent increases in sensitivity, specificity, and accuracy for ultrasound detection of ovarian cancer in comparison to unassisted clinicians who lacked ultrasound expertise, according to findings from new international multicenter research.

For patients with localized prostate cancer and PI-RADS 3 or higher lesions, MRI-guided micro-ultrasound multifiber focal laser ablation had an 18 percent recurrence rate at one year, according to newly published research.

In the third part of a three-part interview from the recent RSNA conference, Mark Traill, M.D., discusses the potential of image-based risk assessment artificial intelligence (AI) algorithms in bolstering adherence to screening protocols for women at high risk for breast cancer.

Seventy percent of LR-M hepatocellular carcinoma (HCC) cases were associated with rapid growth in comparison to 12.5 percent of LR-4 HCCs and 28.5 percent of LR-4 HCCs, according to a new study.

Catch up on emerging research from the recent 2024 Radiological Society of North America (RSNA) conference.

Catch up on the most well-viewed video interviews from Diagnostic Imaging in 2024.

Touching on a variety of topics in radiology, here are the top five most well-viewed content from Diagnostic Imaging in 2024.

In contrast to simply agreeing with the negative herd or hijacking a conversation with unrelated commentary, emphasizing spirited contributions and viewpoints can facilitate a lively exchange of ideas in radiology forums.

Catch up on the most viewed content on AI in radiology from 2024.

Catch up on the most well-read computed tomography (CT) articles from 2024.

Catch up on the most well-viewed prostate imaging content from 2024.

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

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

Catch up on the most well-read ultrasound content from 2024.

Catch up on video interviews from the recent 2024 Radiological Society of North America (RSNA) conference.

Catch up on the most well-read Eric Postal, M.D.-penned blogs from 2024.

In the second part of a three-part interview from the recent RSNA conference, Mark Traill, M.D., emphasizes patience and monitoring with the assessment of AI to ensure optimal use of the technology to help ease the strain of increasing breast imaging volume.

Does the wisdom of experience to make meaningful changes in radiology get usurped by reduced energy and a sense of diminishing returns?

Catch up on the most well-read mammography articles from 2024.