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

Liver Metastases Clinical Trial

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

Clinical Trial 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.

Clinical Trial 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. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT03151564
Study type Interventional
Source M.D. Anderson Cancer Center
Contact
Status Active, not recruiting
Phase N/A
Start date May 9, 2017
Completion date April 30, 2025
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