Developing a risk and prognosis prediction model of acute exacerbation of interstitial lung disease associated with connective tissue disease based on deep learning radiomics

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2500095131

Enrollment

Unknown

Registered

2025-01-02

Start date

2025-01-02

Completion date

Unknown

Last updated

2025-01-06

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

Conditions

Interstitial lung disease associated with connective tissue disease

Interventions

Observation group:None

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age =18 years old; 2. definite diagnosis of CTD-ILD; 3.ILD was not caused by other factors such as occupational environment, drugs and surgery. 4. Complete clinical data and chest CT data; 5. The minimum follow-up time was 1 year.

Exclusion criteria

Exclusion criteria: 1. Age <18 years old; 2. Poor image quality of chest HRCT; 3. Combined with chest tumor or previous history of chest surgery; 4. Complicated with severe organ failure: heart failure, liver failure, kidney failure, etc. 5. Loss of follow-up.

Design outcomes

Primary

Measure	Time frame
acute exacerbation;Chest HRCT;	—

Secondary

Measure	Time frame
1 year mortality after acute exacerbation;Laboratory data;Demographic data;Clinical data;Pulmonary function test data;	—

Countries

China

Contacts

Public ContactZhang Jingping

The First Affiliated Hospital of Xi'an Jiaotong University

zhangjp@xjtufh.edu.cn+86 159 9175 1929

Outcome results

None listed

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