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CT

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.

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Article • Launch of new national program

A new “impulse” for equitable lung cancer screening in France

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…

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News • Diagnostic assistance

Pancreatic cancer: clinical deployment of AI system for early detection

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.

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News • Deep learning-based assessment

AI ‘Sybil’ predicts lung cancer risk from single LDCT scan

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.

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News • CT-based deep learning-driven tool

Liver cancer segmentation and detection with 'SALSA'

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.

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News • Imaging immunocompromised patients

Pneumonia diagnosis: deep learning takes the grain out of ultra-low dose CT

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.

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News • LDCT rule-out

AI shows potential for workload reduction in lung cancer screening

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%.

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Article • Imaging modality comparison presented at RSNA 2024

Photon-counting CT advances identification of pancreatic cystic lesions

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…

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Sponsored • Diagnostic technology

New 640-slice CT delivered to the heart of Italy

United Imaging are excited to share that, in partnership with Fora S.p.A., an industry leader with over 50 years of expertise in delivering advanced diagnostic technologies to the Italian market, Policlinico Casilino Hospital will join the company's global network. Demonstrating its commitment to innovation and growth, the hospital has selected the industry-leading 640-slice CT scanner to…

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Article • AI is key

Lung cancer screening initiatives across Europe

Artificial Intelligence will be a critical component in ensuring a Europe-wide lung cancer screening programme can achieve its potential, according to speakers at a special ECR 2024 session. Delegates heard that the SOLACE project (Strengthening the screening of Lung Cancer in Europe) will be supported by AI in terms of workflow, diagnostics, and image and data analysis.

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