NCT03151564

Lesion Detection Assessment in the Liver: Standard vs Low Radiation Dose Using Varied Post-Processing Techniques

• Status: Active Not Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 146 (actual)
• Sponsor: M.D. Anderson Cancer Center · Academic / Other
• Sex: All
• Age: 18 Years – 90 Years
• Healthy volunteers: Not accepted

Summary

To compare 2 different image creation/processing techniques during a standard CT scan in order to "see" problems in the liver and learn which method provides better image quality. The techniques use new artificial intelligence software to decrease image noise, which helps the radiologist to evaluate.

Detailed description

Primary Objective: 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 Objectives: Assessment of whether post-processing software enhances lesion detection in the liver and other measures of image quality at standard and reduced radiation doses. Assessment of whether DLIR and GSI DLIR reconstructions perform differently, both in terms of accuracy and image quality metrics such as noise reduction.

Conditions

• Diseases of Liver
• Colon Carcinoma
• Colorectal Carcinoma
• Liver Metastases

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Computed Tomography Scan - 50% Dose Reduction	Participants undergo routine standard of care CT examination for colon carcinoma restaging, then have an additional scan of the liver at 50% dose reduction.
DIAGNOSTIC_TEST	Computed Tomography Scan - 70% Dose Reduction	Participants undergo routine standard of care CT examination for colon carcinoma restaging, then have an additional scan of the liver at 70% dose reduction.
DIAGNOSTIC_TEST	Deep Learning Image Reconstruction (DLIR)	Participants to receive standard-of-care imaging without the artificial intelligence software and imaging technique.

Timeline

• Start date: 2017-05-09
• Primary completion: 2027-04-30
• Completion: 2027-04-30
• First posted: 2017-05-12
• Last updated: 2026-03-05

Locations

1 site across 1 country: United States