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PixelShine vs. Iterative Reconstruction (IR) Processing of CT Images

NCT03033615 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 20

Last updated 2017-06-28

No results posted yet for this study

Summary

This study will compare the quality of CT images acquired with very low-dose radiation and processed with commercially available software vs. PixelShine processed images. It would potentially allow imaging facilities to acquire CT scans using lower doses of radiation without sacrificing clarity of CT images. Acquiring high quality CT images with low-dose radiation has the potential to enhance patient safety and has significant implications in imaging practices.

Conditions

  • Cancer, Lung
  • Cancer Liver
  • X-rays; Effects

Interventions

DEVICE

PixelShine

Machine learning algorithm

DEVICE

Conventional processing

Iterative reconstruction software

Sponsors & Collaborators

  • Cedars-Sinai Medical Center

    collaborator OTHER

  • AlgoMedica, Inc.

    lead INDUSTRY

Study Design

Allocation
NON_RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2017-08-31
Primary Completion
2017-10-31
Completion
2017-12-31
FDA Device
Yes

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03033615 on ClinicalTrials.gov