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THIS MONTH’S HIGHLIGHTS

ECR 2024: the inception of next generation radiology

Dear readers,

The long-awaited event of the 2024 European Congress of Radiology (ECR) has just ended, but its message still resounds in the minds of attendees and will contribute to shape the future of medical imaging worldwide. The impressive Opening Ceremony not only embraced the essence of the congress but also announced the forthcoming revolution in the field of radiological science. Through astonishing performances, captivating animations, and a compelling presentation by Prof. Catalano, the current President of the European Society of Radiology, attendees were introduced to the profound advancements in technology achieved through Artificial Intelligence (AI), which has significantly influenced the radiology profession more than any other medical discipline. Prof. Catalano, partnered by Ameca, the world’s most advanced humanoid powered by AI, emphasized that AI has provided a new kind of progress which will drive the future of medical radiology and which, when appropriately integrated into the imaging workflow, will serve as a ‘perfect companion’ for improving all aspects and quality of daily practice.

Prompted by the compelling topic of AI, to which ECR 2024 was dedicated, we aim to explore various applications of AI in CT examination by revisiting relevant contributions published on the MDCT.net website in recent years. From Edu-Slides illustrating reliable AI-based image reconstructions, to an Analysis & Opinion article highlighting AI’s crucial role and superior performance in reducing radiation exposure without compromising image quality, to AI’s utility in diagnostic workflows and in predicting and assessing response to treatment, as discussed in two insightful podcasts.

The scientific papers included in this Newsletter focus specifically on the contributions of AI tools in lung nodule detection and classification, and in speeding up the diagnosis of bowel obstruction.

Additionally, two new clinical cases underscore the pivotal role of contrast-enhanced CT in identifying different abdominal disease complications, thanks to its high sensitivity and specificity.

As usual, suggestions for topics to be covered in future issues of this newsletter are welcome. Please send your proposals to us at  editorial@mdct.net.

From the MDCT.net team

 

FROM THE MDCT.NET ARCHIVE

EDU-SLIDES

 

New AI algorithm for raw data reconstruction
D. De Santis, D. Pugliese, D. Valanzuolo, D. Caruso, A. Laghi

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EDUCATION – ANALYSIS & OPINION

Principles of Artificial Intelligence Applied to Dose Optimization
D. Caruso, T. Polidori, A. Laghi

Artificial Intelligence (AI) is an emerging technology in the field of medical imaging. The term AI is used to describe computer systems that mimic human cognitive functions, such as learning and problem solving. Among the various tasks in which AI has shown promise, image denoising for CT radiation dose optimization is the one that raises the greatest expectations.

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EDUCATION – PODCASTS

AI in CT: why? (Episode 1)
H. Prosch

Listen »

AI in chest CT (Episode 2)
H. Prosch

Listen »

 

SCIENTIFIC RESOURCES – SELECTED ARTICLES

Muhtasim N, Hany U, Islam T et al. Artificial intelligence for detection of lung cancer using transfer learning and morphological features. Supercomput. 2024. https://doi.org/10.1007/s11227-024-05942-z.

Vanderbecq Q, Gelard M, Pesquet J-C et al. Deep learning for automatic bowel-obstruction identification on abdominal CT. Eur Radiol. 2024 Feb 22. doi: 10.1007/s00330-024-10657-z. Online ahead of print.

 

NEW CLINICAL CASES

Clinical Case