icolung ct supports automatic labeling, visualization and volumetric quantification of segmentable lung structures from non-contrast enhanced chest CT. It also measures the percentage of abnormality (Ground Glass Opacity, Consolidation and their total sum) in each lobe and in total lungs.
Images shown for illustrative purposes only.
~29% and ~21% improved nodules detection
Riverain's AI suppression technology removes structures that can camouflage cancer and lung disease. 1,2
~26% and ~20% faster nodule search time
ClearRead CT technology helps radiologists see through the complexity to better detect abnormalities.1,2
Higher inter-reader agreement rates2
For CalanticTM software version 1.0.0, no prior study will be examined.
Non-contrast chest CT
Kilovoltage peak (kVp): 80-140
Recommended slice thickness: 1mm
Maximum slice thickness: 5mm
Maximum Pixel spacing: 1mm
The percentage affected lung tissue with different types of abnormalities: Ground GlassOpacity (GGO) and Consolidation (CO), (including their sum) in five lobes of the lungs (left upper, left lower, right upper, right middle, right lower) and total lungs and a severity score based on the percentage (each lobe receives a score between 0 and 5).
EU risk class and CE marking
Icolung ct has CE marking (CE1639) and risk class Im.
No contraindications given.
Patient Target Group
Patients with potential lung disease.
Artifacts and anatomical deviations: Please make sure the images are free of artifacts, as these might have a negative impact on the results of fully automatic measurements. Even without artifacts or extensive deviations in anatomy, automatic measurements are subject to errors, intrinsically associated with the measurement device. The technical validation of the measurements attempts to provide an idea of the extent of these errors.