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Effectiveness of Ultra-low-dose Chest CT With AI Based Denoising Solution

I

Intermed Hospital

Status

Unknown

Conditions

Lung Diseases

Treatments

Other: Artificial Intelligence based model
Radiation: Underwent ultra dose chest CT
Radiation: Low radiation dose CT

Study type

Interventional

Funder types

Other

Identifiers

NCT05398887
IMC20220515-01

Details and patient eligibility

About

The main objective of the study is to evaluate the detection rate of pulmonary conditions, percentage of ionizing radiation dose reduction, and state of image quality of ULDCT coupling with innovative vendor-neutral CT denoising solution based on deep learning technology.

Full description

Considering lung cancer-related public health challenges, a reliable lung cancer screening method for high-risk cohorts in Mongolia is needed. Thus, our study aims to assess the detection rate of pulmonary conditions, percentage of ionizing radiation dose reduction, and state of image quality of ULDCT coupling with artificial intelligence based CT denoising technique among various patient groups.

Enrollment

200 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Patients aged over 18-year-old
  • Patients undergoing CT Chest for all purpose

Exclusion criteria

  • Age less than 18 years
  • Any suspicion of pregnancy
  • History of thoracic surgery or placement of the metallic device in the thorax
  • An inability to hold respiration during CT

Trial design

Primary purpose

Diagnostic

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Quadruple Blind

200 participants in 2 patient groups

Low dose Chest CT scan
Active Comparator group
Description:
Underwent low dose chest CT with 30% lower radiation dose Interventions: Radiation: Low radiation dose CT Other: Image quality analysis
Treatment:
Radiation: Low radiation dose CT
Ultra low dose CT scan with Artificial Intelligence
Experimental group
Description:
Interventions: Radiation: Low radiation dose CT Image quality Other: Deep-learning based contrast boosting algorithms
Treatment:
Radiation: Underwent ultra dose chest CT
Other: Artificial Intelligence based model

Trial contacts and locations

0

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Central trial contact

Khulan Khurelsukh, M.D, MSc; Bayarbaatar Bold, M.D

Data sourced from clinicaltrials.gov

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