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Extracellular volume fraction (ECV) assessment with photon-counting CT offered higher sensitivity and comparable specificity and AUC to magnetic resonance elastography (MRE)-derived liver stiffness measurement (LSM) for evaluating patients with stage 2 or higher fibrosis, according to a recent study.

New computed tomography (CT) research in July 2026 ranged from the ongoing impact of AI to significant declines in CT radiation dosing over the past decade to a growing recognition that coronary artery calcium (CAC) scoring alone may not be sufficient to convey a true picture of cardiovascular risk stratification.

The AI tools for the newly launched Invenia ABUS Prime ultrasound platform reportedly facilitate a 40 percent increase in scan speed and up to a 93 percent sensitivity rate for lesion detection in women with dense breasts.

While the vague “R/O pathology” has become pervasive filler for clinical history on requests for imaging, a new wave of clinical histories offer a word salad approach that offers equally little insight into the possible ailment of the patient.

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

Based on results from the phase III PSMAddition trial, the expanded approval may nearly double the number of patients with prostate cancer who can be treated with Pluvicto.

Combining automated lesion detection and characterization, the DeepHealth Breast Ultrasound software reportedly offers greater than 98 percent sensitivity for localizing breast lesions and reduces interpretation time for radiologists by 37 percent.

Offering rapid loading and viewing access for CT, MRI, ultrasound, PET imaging and mammograms, the ImageGrid® StreamVue platform can be integrated into existing PACS environments at hospitals and imaging centers.

Catch up on the most-well viewed radiology content in July 2026.

Catch up on the most well-viewed video interviews from Diagnostic Imaging in July 2026.

Recently presented research with the AI-powered CaRi-Heart software at the Society of Cardiovascular Computed Tomography (SCCT) conference found that assessments of advanced coronary inflammation with the software were linked to significantly higher cardiovascular mortality risks.

In comparison to findings from a similar study in 2014, the national volume computed tomography (CT) dose index (CTDLvol) declined by 9.3 percent, according to newly published research involving 5 million CT exams for over 2.8 million adults in 2025.

In an external test set from a recent study, a combined radiomic/deep learning model for intratumoral computed tomography (CT) threshold segmentation offered an 82.3 percent AUC and 95.4 percent sensitivity for predicting visceral pleural invasion in patients with lung adenocarcinoma < 30 mm.

For biopsy-naïve patients who had radical prostatectomy for prostate cancer, new research suggests that biparametric MRI is comparable to multiparametric MRI for detecting extraprostatic extension.

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

In the face of consistent shortcomings from referring clinicians, the consistency of our resolve and perspective may be our best recourse.

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

In a recent interview, Kenneth Chan, MBBS, discussed new research, presented at the recent Society of Cardiovascular Computed Tomography (SCCT) conference, that showed the impact of coronary inflammation in identifying elevated cardiovascular risk in patients with zero or low coronary artery calcium (CAC) scores.

Advanced imaging with photon-counting CT and AI detection of subtle calcification may lead to a reevaluation of the power of zero with coronary artery calcium (CAC) scoring.

The HOPPR EF Chest CT Narrative Model reportedly provides narrative language describing pertinent findings across pulmonary, upper abdominal, cardiac, mediastinal and soft tissue regions with processing of 3D chest CT volumes.

A model combining MRI and ultrasound findings yielded a 93 percent AUC for predicting microvascular invasion in hepatocellular carcinoma.

In a recent interview, Vivek Singh, MD, discussed the practical realities of integrating AI into neuroradiology workflows, addressing challenges and concerns with implementation and potential automation bias, and emphasizing the importance of appropriate governance with AI tools and measurable outcomes in stroke imaging.

The updated Sonosite iLOOK ultrasound reportedly offers a variety of features designed to streamline the use of point-of-care ultrasound for vascular access procedures.

General radiologist assessment of mammograms with adjunctive AI led to a significant increase in cancer detection rate akin to that of breast imaging specialists, according to new research.

In a comparative study involving 51 women who had systemic treatment for metastatic breast cancer, researchers found that all FDG-PET scans identified measurable target lesions according to PERCIST criteria in comparison to 35 percent of CT scans as per RECIST 1.1 criteria.

Can the newly launched MIM Anyware platform bolster imaging access and multidisciplinary collaboration?

This veteran teleradiologist examines who thrives working from home in radiology and who doesn't, based on 15 years of WFH experience.

Catch up on the latest imaging research from the recent Society of Cardiovascular Computed Tomography (SCCT) conference.