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Idiopathic Interstitial PneumoniaIIPNCT05146934

The Relationship Between Hormone Sensitivity and Imaging of Idiopathic Interstitial Pneumonia by Artificial Intelligence

An observational study of Idiopathic Interstitial Pneumonia, run by Peking University Third Hospital at 1 site in China.

Completed

Finished. The study has ended and is not enrolling. Results may be posted on the official record.

Official record
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Trial summary

Application of artificial intelligence deep learning algorithm to analyze the relationship between hormone sensitivity of idiopathic interstitial pneumonia and imaging features of high resolution CT. Read more about this study

Who is it for?
Ages 18 to 90 years
Conditions the study is for
Idiopathic Interstitial Pneumonia
What is being tested?
high resolution CT
Type of treatment
Surgery or procedure
How many people
150 participants
Where
1 siteChina
Study dates
30 Dec 2019to 30 Jun 2021
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 to 90 years
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Study population: From June 1, 2012 to December 31, 2020, all inpatients with IIP were admitted to the respiratory and critical care department of the Third Hospital of Peking University. Total patients are 150, 45 patients using hormone, average age 62 years old, 21 male.

Who may be able to join

  • Clinical-pathological-radiology diagnosis of idiopathic interstitial pneumonia Hormone therapy was used; The follow-up data were complete, and the effect of hormone use could be judged.

Who cannot join

  • Lung infection disease; Heart failure; Connective tissue disease; IIP Without hormone therapy ; IIP but the follow-up data were incomplete, and the effect of hormone use could not be judged.

Trial locations and contacts

1 site in 1 country.

China1 site
  • Peking University Third Hospital

    Beijing, Beijing Municipality, 100191

Other trials in China

About this study

Application of artificial intelligence deep learning algorithm to analyze the relationship between hormone sensitivity of idiopathic interstitial pneumonia and imaging features of high resolution CT.

Read the detailed description

Methods: the medical records and chest high-resolution CT images of patients with idiopathic interstitial pneumonia admitted to the respiratory department of the Third Hospital of Peking University from June 1, 2012 to December 31, 2020 were retrospectively analyzed.Application of artificial intelligence deep learning neural convolution network method to create recognition technology of different imaging features.Including ground glass, mesh, honeycomb, nodule or consolidation, the model was established. IIP patients were divided into hormone sensitive group and hormone insensitive group according to whether the use of hormone was effective or not.Logistic regression analysis was used to analyze the correlation between statistically significant parameters and hormone sensitivity.Artificial intelligence was used to establish the correlation model between imaging features and clinical data and hormone sensitivity.

Being tested
high resolution CT
Keywords
Hormone sensitivity, imaging features, artificial intelligence
Medical subject headings
Idiopathic Interstitial Pneumonias

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • high resolution CTRadiation

    Ground glass,honeycomb,reticulation, consolidation

Study groups in NCT05146934
Study groupRoleWhat they receive
Hormone sensitive groupPrednisone, 0.5mg/kgqd, 3-6months
Receives: Radiation: high resolution CT
Hormone insensitivity groupPrednisone, 0.5mg/kgqd, 3-6months
Receives: Radiation: high resolution CT

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. clinical data and imaging feature ratios in both groups

    clinical data including ages,gender,symptoms,signs,smoking history,complications,laboratory examination,lung function. Imaging feature including ground-glass opacity, reticulation, honeycomb and consolidation.

    Measured: 3-6 months after medication

Secondary outcomes (1)
  1. the relationship between imaging feature ratios and hormone sensibility

    Logistic regression analyzing the relationship between imaging feature ratios and hormone sensibility.

    Measured: 3-6 months after medication

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted7 Dec 2021
  2. Study start30 Dec 2019
  3. Primary completion1 Jun 2021
  4. Study completion30 Jun 2021

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Case-control
Time perspective
Retrospective
Enrolment
150 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT05146934
Sponsor's protocol ID
LM2019173
Acronym
IIP
Status last verified
Jun 2021
First submitted
30 Jun 2021
Last updated
7 Dec 2021
Results posted
No
Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No

Questions about this trial

What is this clinical trial studying?

An observational study of Idiopathic Interstitial Pneumonia, run by Peking University Third Hospital at 1 site in China.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: finished, as of the sponsor's last update on 7 Dec 2021. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

clinical data and imaging feature ratios in both groups (time frame: 3-6 months after medication). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 7 Dec 2021; AzTrials last refreshed its copy on 7 Nov 2026.

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