Radiation dose reduction with a new CT image reconstruction for abdominal CT in obese patients

Radiation dose reduction with deep learning reconstruction for abdominal CT in obese patients - Radiation dose reduction with deep learning reconstruction for abdominal CT in obese patients

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

JPRN

Registry ID

JPRN-UMIN000039241

Enrollment

Registered

2020-01-23

Start date

2020-02-01

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

Obese patients who are scheduled to have hepatic dynamic CT for assessment of hepatic disease

Interventions

Scan hepatic dynamic CT at 70% radiation dose and reconstruct CT images with deep learning reconstruction (only one intervention for each patient).

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1.Patients who are scheduled to have hepatic dynamic CT for assessment of hepatic disease 2.Patients with body mass index over 25 3.Patients who have consent to participate in this study

Exclusion criteria

Exclusion criteria: 1.Patients with a history of severe side effects to CT contrast material 2.Patients with poor general condition 3.Patients with asthma 4.Patients with severe renal failure (eGFR under 30ml/min/1.73mm2) 5.Pregnant or breastfeeding patients 6.Patients who are judged to be unsuitable for this study by researchers

Design outcomes

Primary

Measure	Time frame
To confirm that image noise of hepatic CT acquired at low radiation dose can be reduced with deep learning reconstruction to the same level as that acquired at routine radiation dose	—

Countries

Japan

Contacts

Public ContactYuko Nakamura

Hiroshima University Diagnostic Radiology

yukon@hiroshima-u.ac.jp0822575257

Outcome results

None listed

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