Oncology CT

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

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.

Deep learning-based motion correction with the CLEAR Motion software reportedly bolsters cardiac imaging quality while the PIQE 1024 Deep Learning Reconstruction software offers equivalent SNR to photon-counting CT for high-resolution views of objects less than 0.5 mm.

In comparison to everolimus, the peptide receptor radionuclide therapy (177Lu)Lu-edotreotide provided over a nine month longer median progression-free survival for patients with gastroenteropancreatic neuroendocrine tumours (GEP NETs), according to new phase 3 research.

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

For pancreatic cancers less than or equal to 20 mm, a deep learning model offered a nearly 45 percent higher sensitivity rate with non-contrast CT in comparison to unassisted radiologist interpretation.

Catch up on a variety of new FDA clearances in radiology from the past week.

The addition of density heterogeneity on CT to a predictive model for differentiating malignant and benign pulmonary nodules led to a greater than 15 percent improvement in the model’s AUC, according to a new multicenter study.

Researchers estimated that 17.9 million middle-aged women in the United States are overdue for breast, cervical or colorectal cancer screening, according to a new cross-sectional study.

In a new capabilities analysis of 16 CE-marked AI software platforms for CT lung cancer screening, researchers found that only 6.7 percent of supporting peer-reviewed studies were prospective and that none of the studies assessed impact on patient outcomes.

While previous research has demonstrated the capability of the PET/CT agent (89Zr)girentuximab for detecting clear cell renal cell carcinoma (ccRCC), a new analysis reveals a 98 percent positive predictive value (PPV) for detecting non-ccRCC renal cancers.

In an independent test set, a radiomic AI model demonstrated an 82 percent AUC for detecting pancreatic ductal adenocarcinoma on computed tomography (CT) scans at a median of nearly 16 months prior to clinical diagnosis.

Providing enhanced multidimensional displays of MRI and CT imaging, the Avatar Medical Vision software may facilitate improved surgical planning and intraoperative communication.

The Rembra CT reportedly facilitates high-throughput imaging for high-volume settings such as emergency departments and the Rembra RT and Areta RT platforms offer an extended 85 cm field of view and 4D CT to enable enhanced accuracy in tumor targeting.

Catch up on a variety of new FDA clearances in radiology from the past week.

The Philips Spectral CT Verida system reportedly provides reconstruction of 145 images per second, allowing entire CT exams to appear in less than 30 seconds.

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

The CT-based True Definition DL software reportedly facilitates enhanced efficiency and high-resolution visualization for musculoskeletal, pulmonary and inner ear imaging.

For people with a history of heavy smoking, detection of significant incidental findings (SIFs) on low-dose computed tomography (LDCT) screening scans was associated with a 13.89 per 1000 marginal risk difference for extrapulmonary cancer in contrast to those with no SIFs, according to a study involving over 26,000 people.

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

Catch up on a variety of new FDA clearances and approvals in radiology from the past week.

The Photonova Spectra photon-counting CT system reportedly offers a variety of features, including 8-bin energy resolution, rapid rotation speed and motion-free imaging.

While smokers with negative baseline CT findings had a higher overall lung cancer risk than never smokers, the authors of a new study of over 30,000 people noted no elevated risk at two years.

More prominent honeycombing, reduced total ground glass opacity (GGO) and less pure GGO on CT scans each demonstrated 75 percent or higher AUCs for differentiating usual interstitial pneumonia (UIP) from non-UIP, according to new research.

Catch up on a variety of new FDA clearances and approvals in radiology from the past week.