
Catch up on the top radiology content of the past week.
Senior Editor, Diagnostic Imaging

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

The upgraded RefleXion X2 platform offers a 20 cm field of view that may bolster visualization of moving tumors.

For patients with triple-negative breast cancer being treated with neoadjuvant chemotherapy and immunotherapy, MRI demonstrated a 94.3 percent sensitivity for predicting pathologic complete response, according to a new study.

In addition to offering a variety of AI features, the Magnetom Flow 1.5T MRI system reportedly facilitates a 56 percent reduction in annual energy consumption in comparison to previous MRI scanners.

The use of contrast-enhanced mammography in nearly 200 cases of screening recalls yielded a 96.1 percent per-breast sensitivity rate and a 99 percent negative predictive value.

In a recent interview, Onofrio Catalano, M.D., Ph.D., discussed new research findings demonstrating robust sensitivity and specificity in detecting hepatocellular carcinoma in patients with LI-RADS 3 presentations.

In a study involving over 1,400 patients who had abdominal or pelvic CTs, the large language model GPT-4o selected optimal protocols in 96.2 percent of cases in comparison to 88.3 percent for radiologists.

The Echo Stewardship Program, which allows non-sonographer clinicians to perform focused cardiac ultrasound exams under physician guidance, is now cleared for use across handheld, laptop and cart-based ultrasound platforms

In a recent interview, Jeremie Calais, M.D., Ph.D., discussed new research examining the prognostic capacity of PSMA PET parameters in predicting hematologic toxicity and outcomes for patients treated with (177Lu)Lu-PSMA-617 for mCRPC.

In a new literature review, researchers discuss common patterns and complications with cosmetic fillers that can be revealed on ultrasound imaging.

Employing a 77-second scan time for obtaining ultrafast breast MRI views, researchers found a 92.1 percent AUC for differentiating between benign and malignant lesions, according to new prospective study.

In a recent interview, Michael Hofman, MBBS, FRACP, discussed preliminary research findings and the potential utility of the positron emission tomography (PET) agent ITM-94, which recently garnered a fast track designation from the FDA for clear cell renal cell carcinoma (ccRCC).

The cloud-based Brain Mets software reportedly provides accelerated detection, measurement and tracking of metastatic brain lesions based on routine brain MRI sequences.

In addition to advanced mammography image processing and integrated MQSA tracking, the MammoIQ system enables viewing of adjunctive modalities including MRI, ultrasound and PET imaging.

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

In an interview at the recent RSNA conference, Chris Davis, DMSc, PA-C, RT, discussed key considerations with the integration of advanced practice providers (APPs) into radiology.

For patients with primary lung cancer, a nomogram incorporating PET, CT and clinical findings offered an 87.7 percent AUC for predicting lymph node metastasis and over a 19 percent higher sensitivity than a PET-based model for predicting small lymph node ( > 1 cm) metastasis.

In a reeent interview, Jenifer Pitman, M.D., discussed key findings from a large knee MRI study, presented at the RSNA conference, which demonstrated significant gender differences with ACL, MCL and medial meniscal injuries.

In a comparative study presented at the recent RSNA conference, researchers found that the combination of capsular contact length from MRI and SUVmax data from PSMA PET/CT yielded greater than 80 percent sensitivity and specificity for extraprostatic extension.

In an interview at the recent RSNA conference, Sriyesh Krishnan, M.D., discussed pertinent principles in assessing AI models, ongoing monitoring of the adjunctive value and an unyielding focus on patient care.

Irregular CT margin and an SUVmax > 6.25 were associated with greater than threefold and sixfold higher risks, respectively, for malignancy among patients with thyroid incidentalomas detected on PET/CT, according to new research.

In a recent interview at the RSNA conference, neuroradiologist Emanuel Kanal, M.D., discussed key findings from a committee of the American Board of Magnetic Resonance Safety with respect to MRI technologist responsibilities and how the advent of remote MRI scanning and related protocols may lead to increased MRI safety.

The multi-directional diffusion-weighted imaging (DWI) sequence reportedly bolsters small stroke detection and infarct differentiation for portable MRI of the brain.

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

In a recent interview, Tyler Coombes, M.D., and Parth Patel, M.D., discussed recent research, presented at the RSNA conference, which suggested that quantitative evaluation of non-calcified plaque volume (NCPV) may offer significant utility for cardiovascular risk stratification.

For patients with systemic sclerosis, the combination of PCCT and automated Lung Texture Analysis (LTA) offered a higher AUC for detecting interstitial lung disease (ILD) at a 70 percent lower mean CT dose index than the pairing of EID-CT and LTA.

In a recent interview, Layne Dylla, M.D. discussed key findings from a recent study that revealed a doubling of annual head CT scans in emergency department settings over a 15-year period.

Noting limitations of prostate MRI and advantages of PSMA PET/CT for detecting extraprostatic extension and lymph node involvement, researchers explored the potential utility of standalone PSMA PET/CT in prostate cancer staging in a review presented for the RSNA conference.

In a recent interview at the RSNA conference, Rajesh Bhayana, M.D., discussed current research findings on the use of large language models (LLMs) in radiology and emerging LLMs that may have an impact.

Providing automated analysis of non-contrast head CT scans, the AI-enabled Scaida BrainCT-ICH software offers a specificity of 88.7 percent for intracranial hemorrhage detection with less than six seconds of processing time.