
News • Pediatric Radiology
Medical imaging raises blood cancer risk in young patients
Study of 3.7 million children reveals small but significant increased risk of blood cancers from medical imaging radiation, with CT scans posing highest risk

Since its introduction in the 1970s, computed tomography has been a mainstay of radiology. Its overlay-free representation of body structures and the rapid availability of images make CT indispensable in the diagnostic assessment of numerous diseases, especially in emergency medicine. Modern CT systems not only offer innovative procedures for better image quality, but also reduce radiation exposure.

Study of 3.7 million children reveals small but significant increased risk of blood cancers from medical imaging radiation, with CT scans posing highest risk

Misinterpreting the malignancy risk of lung nodules often results in high false-positive rates, unnecessary follow-ups, increased patient anxiety and healthcare costs. A new study suggests that AI can fix this.

Canon announces the launch of the Aquilion One / Insight Edition 160, a new addition to its computed tomography (CT) portfolio. The new system made its debut at Röntgenveckan (Stockholm, Sweden).

Postpartum hemorrhage is a leading cause of maternal death. A new method could help predict which women experiencing severe bleeding after giving birth most likely need life-saving interventions.

By analyzing CT images with 3D software, researchers demonstrated that small liver tumors can be successfully treated using ablation. This could enable more confident use of ablation treatments.

CT imaging is important to detect residual lung abnormalities after a Covid-19 infection. To avoid confusion with interstitial lung diseases, experts from 14 countries published a best-practice guide.

New research demonstrates CT colonography outperforms stool DNA testing in both clinical effectiveness and cost savings for colorectal cancer screening.

Lung cancer is the leading cause of cancer death in the EU, yet no organized screening program exists to detect the disease before symptoms appear. This September, France will strike back with an ambitious pilot program that could boost European lung cancer screening. Professor Marie-Pierre Revel presented the details at the French Thoracic Imaging Society Spring Days in Marseille, highlighting…

Survival rates for pancreatic cancer rise drastically the earlier it is detected, but early-stage tumors are notoriously difficult to spot. A new AI-powered diagnostic system is set to improve this.

A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT (LDCT) scan, according to new research published at the ATS 2025 International Conference.

Results of a new retrospective study demonstrate the potential of a novel, CT-based deep learning-driven tool to enhance liver cancer diagnosis, treatment planning, and response evaluation.

To reduce the radiation exposure for patients undergoing frequent CT scans for pneumonia diagnosis, deep learning-based denoising of ultra-low dose CT presents a viable alternative.

A new study reveals that AI can accurately rule out negative low-dose CT (LDCT) scans, potentially reducing the workload of radiologists in lung cancer screening by up to 79%.

Anatomically accurate 3D-printed phantoms for CT imaging and AI training show promise as an alternative to cadavers. The new technology allows for patient-specific phantoms with realistic radiopacity.

Pancreatic cystic lesions – indicating an increased risk of pancreatic cancer – are an occasional incidental finding in routine computed tomography (CT) abdominal imaging. New research suggests that the superior image quality of photon-counting CT (PCCT) can help detect more of these lesions. At the RSNA annual meeting, an expert outlined the benefits and limitations of the imaging technique…

The Diagnostica e Terapia Centro Aktis in Marano di Napoli, Italy, has expanded its diagnostic department with the addition of three imaging systems from United Imaging.

A new AI tool creates super-resolution images showing the inner structures of bones in great detail. This can be used to better determine risk for fracture in elderly patients with osteoporosis.

To improve breathing monitoring during radiotherapy, researchers have developed a millimeter-wave sensor capable of non-invasively visualizing respiratory movement during X-ray and CT examinations.

New AI-enabled systems, intelligent software, and imaging cloud services for improved radiology workflows: Royal Philips announces its solutions that will be showcased at ECR 2025 in Vienna.