Skip to content

Study on the Feasibility of mDxion Quant quantitative Evaluation of Fatty liver caused by chemotherapy based on Deep Learning

Study on the Feasibility of mDxion Quant quantitative Evaluation of Fatty liver caused by chemotherapy based on Deep Learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500098385
Enrollment
Unknown
Registered
2025-03-06
Start date
2023-12-25
Completion date
Unknown
Last updated
2025-03-10

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

Conditions

Fatty liver

Interventions

Gold Standard:The degree of liver fat content was classified as follows: normal 6.4%, mild 6.5% ~ 17.4%, moderate 17.5% ~ 22.1%, severe 22.2% or higher.
Index test:A 3.0T MR (PHILIPS Ingenia) scanner is equipped with 24-channel abdominal coils and respiratory gates. The volunteers were given breathing training before the examination, followed by a sup

Sponsors

Kunming Cancer Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Fatty liver was diagnosed by CT/ B ultrasound at the first diagnosis; 2.there was no contraindication of MRI examination, such as pacemaker, stent, metal implant and claustrophobia; 3.received chemotherapy / endocrine therapy.

Exclusion criteria

Exclusion criteria: 1. lack of follow-up information; 2.space-occupying lesions of the liver (metastasis, cyst, etc.); 3.were greatly affected by respiratory movement artifacts.

Design outcomes

Primary

MeasureTime frame
Total liver fat fraction;

Secondary

MeasureTime frame
Signal-to-noise ratio;

Countries

China

Contacts

Public ContactLizhu Liu;Zhenhui Li

Yunnan Cancer Hospital

liulizhu2022@163.com+86 182 8750 9587

Outcome results

None listed

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