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In computed tomography (CT) scans for patients with solid non-small cell lung cancer (NSCLC) < 30 mm, emerging research suggests the lollipop sign is associated with a greater than fourfold likelihood of angiolymphatic invasion.

Deep learning synthesis of contrast-enhanced MRI from non-contrast prostate MRI sequences provided an average multiscale structural similarity index of 70 percent with actual contrast-enhanced prostate MRI in external validation testing from newly published research.

In a recent interview, Phillip Kuo, M.D., discussed the impact of newer anti-amyloid antibody therapies for Alzheimer’s disease upon recently issued appropriate use criteria (AUC) for amyloid positron emission tomography (PET) imaging as well as the incorporation of tau PET into the AUC for patients with mild cognitive impairment.

Employing baseline MRI and clinical data, an emerging deep learning model was 32 percent more likely to predict the progression of low-risk prostate cancer (PCa) to clinically significant prostate cancer (csPCa), according to new research.

Experience gradually transforms an initial tendency to overcall findings in radiology to more of a reserved under calling on radiology reports.

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

How do we respond to challenges with staff recruitment, cybersecurity, and looming hospital takeovers in radiology? This author assesses key trends in radiology and offers key insights to stay competitive in the field.

The IQ-UIP AI software may bolster computed tomography diagnosis of usual interstitial pneumonia (UIP), which is reportedly misdiagnosed in over 50 percent of cases.

In a literature review that includes insights from recently issued guidelines from multiple European medical societies, researchers discuss the role of magnetic resonance imaging (MRI) in facilitating appropriate patient selection for fertility-sparing treatments to address early-stage endometrial and cervical cancer.

In a study of over 463,000 women who had screening mammography exams, adjunctive AI led to a 17.6 percent higher detection rate for breast cancer and a three percent increase in positive predictive value for recalls.

After propensity score matching in a study of over 3,000 women with a personal history of breast cancer, researchers found that surveillance breast MRI facilitated a 59 percent lower risk in advanced presentations of second breast cancers.

The appropriate use criteria (AUC) reflect updates to the 2013 AUC for amyloid PET and new criteria for tau PET in the diagnosis and monitoring of patients with mild cognitive impairment (MCI).

In a recent interview, Arlene Sussman, M.D., discussed her experience in leading vRad’s teleradiology breast imaging service, how to foster personalized care in breast cancer screening, utilizing AI to help mitigate daunting worklists and improving access to subspecialty care.

Survey results revealed that 71 percent of clinicians preferred adjunctive AI in facilitating triage of brain MRI scans and 58 percent were comfortable utilizing AI triage without input from radiologists.

For hepatocellular carcinoma screening, a 19-study meta-analysis found the abbreviated MRI sequencing protocol of T2-weighted MRI, diffusion-weighted imaging (DWI) and hepatobiliary phase (HBP) imaging offered 88 percent sensitivity and 93 percent specificity.

There may be a certain denial about the capability of proposed radiology workforce solutions and technological advances such as AI to enhance our efficiency.

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

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.