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Deep Learning-Based Cross-Modal Chest MR-CT Generation

Deep Learning-Based Cross-Modal Chest MR-CT Generation

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600119310
Enrollment
Unknown
Registered
2026-02-25
Start date
2026-02-25
Completion date
Unknown
Last updated
2026-03-02

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

Conditions

Thoracic lesion

Interventions

patients with chest diseases:None

Sponsors

Shanghai Changzheng Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: People over 18 years old with paired chest MR-CT data.

Exclusion criteria

Exclusion criteria: 1) Individuals with electronic implants, such as pacemakers, neurostimulators, insulin pumps, cochlear implants, etc. 2) Individuals with metallic foreign bodies, metal implants, or metal prostheses. 3) Patients whose MR and CT scans are scheduled more than 2 months apart. 4) Critically ill patients requiring life support systems. 5) Individuals with uncontrolled epilepsy or mental disorders who cannot cooperate with MRI examinations. 6) Individuals with severe claustrophobia who cannot cooperate with MRI examinations. 7) Other situations deemed by the clinical trial staff as unsuitable for participation in this trial.

Design outcomes

Primary

MeasureTime frame
SUVmax;Radiomics Features;Area Under the ROC Curve (AUC);

Secondary

MeasureTime frame
SUVmean;SUVsd;

Countries

China

Contacts

Public ContactFan Li

Shanghai Changzheng Hospital

fanli0930@163.com+86 135 6468 4699

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Mar 14, 2026