Led by Dr. Sarim Ather, PhD, who also presented the study findings at the RSNA meeting, researchers from Oxford University Hospitals in the U.K. assessed CT texture analysis as a tool for lung nodule follow-up. Radiologists often struggle to determine if a lung nodule detected with CT is cancerous, leading to an indeterminate diagnosis that may require up to a two-year follow-up to monitor growth.
The Optellum and Mirada are using AI-based decision-support software to improve patient management and reduce unnecessary follow-up procedures. It uses deep learning and provides an objective risk score of nodule malignancy learned from a database of tens of thousands of CT scans with known diagnoses, allowing clinicians to stratify lung nodule patients earlier, according to the companies.
The software will be featured in the Mirada Medical booth (No. 6520) and the Quantitative Imaging Reading Room (QRR013) at RSNA 2017.
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