Accumetra Publishes Method That Predicts The Bias and Precision Performance of CT Lung Nodule Volume Measurements

Lung imaging researchers from Accumetra, Mount Sinai, and Cleveland Clinic published a manuscript in July indicating for the first time that CT lung volume measurements can be reliably predicted using a new calibration-based analysis method. The study showed that good volume measurement prediction results (bias, precision) could be obtained even when using low-cost reference objects, specifically three rolls of 3M Scotch Tape (TM). This novel approach, which formed the underlying computer-vision, math, and physics foundation of Accumetra’s CTLX1 and CTLX2 phantoms, is being used internationally to improve lung nodule measurements. Numerous research projects have been launched as a result of this work, investigating improved methods to predict how a CT scanner will perform when requested to measure the volume of small objects near the limits of CT resolution. To read more, visit .

Contact Accumetra at for information on how this new approach is being used to better monitor and optimize CT image acquisition for precise small lung nodule volume measurement in standard clinical care, lung cancer screening, and clinical trials.