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CT Colonography Identifies Pre-Malignant Polyps with Machine-Based Learning Algorithm

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Implementing a radiomics-based machine learning algorithm allows CT colonography to differentiate between benign and pre-cancerous polyps with high sensitivity and specificity.

Applying a machine-based learning algorithm to images captured with CT colonography makes it possible for radiologists to differentiate between benign and pre-malignant colorectal polyps.

In industrialized countries across the globe, colorectal cancer ranks among the top three most common causes of cancer-related deaths among both men and women. In a study published Feb. 23 in Radiology, a team of investigators from Germany showed how using radiomics can expand CT colonography beyond simply detecting polyps to pinpointing which ones are likely to progress to being cancerous.

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