This clinical trial studies how well liver lesions are detected with standard versus low radiation computed tomography using varied post-processing techniques in patients with colon or colorectal cancer that has spread to the liver. Diagnostic procedures, such as computed tomography, may help find and diagnose cancer and liver disease and find out how far it has spread.
Study sponsor and potential other locations can be found on ClinicalTrials.gov for NCT03151564.
PRIMARY OBJECTIVE:
I. To evaluate whether post-processing software Adaptive Statistical Iterative Reconstruction (ASIR), ASIR-V, Veo 3.0 (GE version of Model-based Iterative Reconstruction [MBIR)], and Deep Learning Image Reconstruction (DLIR) is able to preserve lesion detection in the liver and other measures of image quality at reduced radiation doses for computed tomography (CT).
SECONDARY OBJECTIVE:
I. Assessment of whether post-processing software enhances lesion detection in the liver and other measures of image quality at standard and reduced radiation doses.
II, Assessment of whether DLIR and GSI DLIR reconstructions perform differently, both in terms of accuracy and image quality metrics such as noise reduction.
OUTLINE: Patients are assigned to 1 of 2 groups.
GROUP I: Patients undergo standard of care CT for colon carcinoma restaging and undergo an additional scan of the liver at 50% dose reduction.
GROUP II: Patients undergo standard of care CT for colon carcinoma restaging and undergo an additional scan of the liver at 70% dose reduction.
Trial PhaseNo phase specified
Trial Typediagnostic
Lead OrganizationM D Anderson Cancer Center
Principal InvestigatorCorey T Jensen
