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Research on the Application of Dual-Energy CT Combined with Deep Learning Reconstruction Algorithms in Abdominal Imaging

Research on the Application of Dual-Energy CT Combined with Deep Learning Reconstruction Algorithms in Abdominal Imaging

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600116961
Enrollment
Unknown
Registered
2026-01-16
Start date
2025-03-10
Completion date
Unknown
Last updated
2026-01-27

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

Conditions

Hepatic Tumor

Interventions

Observational group:None

Sponsors

Guiqian International Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: Patients aged over 18 years old who need to undergo contrast-enhanced abdominal CT examination due to clinically relevant diseases, can tolerate the examination, and voluntarily participate in the study.

Exclusion criteria

Exclusion criteria: 1. Allergy to iodine contrast agent; 2. Hyperthyroidism; 3. Heart failure; 4. Hepatic or renal insufficiency; 5. Inability to cooperate with the examination; 6. Severe artifacts in images affecting data measurement.

Design outcomes

Primary

MeasureTime frame
Measure the CT values and standard deviations of target organs or target vessels and corresponding muscle tissue at the same level.;Calculate signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), noise equivalent dose index (NED), and image quality dose index (IQF).;—

Countries

China

Contacts

Public ContactHe Chunyan

Guiqian International General

553787782@qq.com+86 158 2367 5502

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026