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New Research Estimates Radiation Exposure from Imaging Causes 10 Percent of Hematologic Cancers in Children

CT-Based Deep Learning Model May Reduce False Positives with Indeterminate Lung Nodules by Nearly 40 Percent
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Catch up on the most-well viewed prostate imaging content in August 2025.

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

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

Nine months after initiation of androgen deprivation therapy (ADT), prostate cancer patients with higher myocardial extracellular volume (ECV) — derived from chest contrast-enhanced CT — had over a fourfold higher risk for major adverse cardiovascular events (MACEs), according to new research.

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

In addition to facilitating centralized scanning for a variety of imaging, the TechLive system may help ease the strain of technologist shortages and broaden access to advanced imaging exams.

While a CT-based deep learning model demonstrated a 91 percent AUC for predicting lung cancer risk within one year, researchers noted other mixed results in a new study involving over 18,000 individuals.

Computed tomography colonography (CTC) demonstrated a 91.6 percent positive predictive value (PPV) for polyps > 6 mm, according to new research involving over 9,000 patients who underwent CTC for primary asymptomatic colorectal cancer screening.

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

Preoperative use of contrast-enhanced cone-beam breast CT has over a 96 percent sensitivity for predicting nipple-areolar complex involvement in cases involving early-stage breast cancer, according to a new study.

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

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

Emerging research shows that a multiple time-series deep learning model assessment of CT images provides 20 percent higher sensitivity than a delta radiomic model and 56 percent higher sensitivity than a clinical model for prognostic evaluation of ground-glass nodules.

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

Researchers also noted a greater than 30 percent increase in treatment management changes resulting from the use of CT-based adjunctive AI to detect lung metastases in colorectal cancer patients.

Emerging research suggests the use of computed tomography colonography (CTC) in colorectal cancer screening may provide significantly higher preventive benefit at lower costs in comparison to multitarget stool DNA testing.

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

Catch up on the most-well viewed radiology content in May 2025.

In a review of 155 studies, researchers examined the capabilities of photon-counting computed tomography (PCCT) for enhanced accuracy, tissue characterization, artifact reduction and reduced radiation dosing across thoracic, abdominal, and cardiothoracic imaging applications.

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

In never-smokers, deep learning assessment of single baseline low-dose computed tomography (CT) scans demonstrated a 79 percent AUC for predicting lung cancer up to six years later, according to new research presented today at the American Thoracic Society (ATS) 2025 International Conference.

The CleaRecon DL software reportedly removes streak artifacts that can occur with the use of cone-beam computed tomography (CBCT) during interventional radiology procedures.

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

In comparison to American Joint Committee on Cancer (AJCC) TNM staging, an emerging CT-based scoring system for assessing early recurrence of pancreatic ductal adenocarcinoma demonstrated over a 22 percent higher AUC in testing and external validation cohorts in a new study.

The combination of the Aurora SPECT/CT system with AI-enabled Clarify DL image reconstruction reportedly offers the potential of enhanced image quality and streamlined workflows in nuclear medicine.




































