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Image quality of new reconstruction algorithm for low-dose lung CT images using 64-row MDCT.

Image quality of new reconstruction algorithm for low-dose lung CT images using 64-row MDCT. - Image quality of new reconstruction algorithm for low-dose CT of the lung.

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000019673
Enrollment
100
Registered
2015-11-09
Start date
2016-01-04
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pulmonary nodule and interstitial pneumonia

Interventions

None listed

Sponsors

Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients who intend to have chest CT for evaluation of pulmonary nodule or interstitial pneumonia.

Exclusion criteria

Exclusion criteria: Unable to obtain informed consent; pregnancy; Body Mass Index is more than 35 kg/m2.

Design outcomes

Primary

MeasureTime frame
Give subjective score according to the 3-5 grade evaluation system for each reconstruction image.

Countries

Japan

Contacts

Public ContactAkinori Hata

Osaka University Graduate School of Medicine Diagnostic and Interventional Radiology

a-hata@radiol.med.osaka-u.ac.jp06-6879-3434

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026