Dermatomyositis (DM), ILD, Machine Learning, Radiomics
Conditions
Keywords
positron emission tomography/computed tomography, dermatomyositis, ILD, machine learning, radiomics
Brief summary
The investigators investigated the associations between the imaging parameters of ⁶⁸Ga-FAPI and ¹⁸F-FDG dual-tracer PET/CT and concomitant interstitial lung disease (ILD) in patients with dermatomyositis (DM), developed a novel diagnostic model to predict DM complicated with ILD, and conducted external validation of this model. Meanwhile, the investigators compared the predictive performance of the imaging-only model with that of the classic clinical model and the clinical-radiological collaborative model.
Detailed description
For the features included in the final optimal model, between-group comparisons of continuous variables (interstitial lung disease group vs. non-interstitial lung disease group) were performed using the Wilcoxon rank-sum test. For categorical variables, the Chi-square test or Fisher's exact test was adopted as appropriate.In the comparison of model efficacy, the DeLong test was used to assess the statistical differences in AUC values between each machine learning classifier and the reference model.All statistical analyses were conducted using R software (version 4.4.1). The corresponding R packages applied included pROC for ROC analysis, caret for model training, and SHAP for the interpretability analysis of the XGBoost model. A two-tailed p-value \< 0.05 was defined as the threshold of statistical significance for all analyses.
Interventions
Observe the medical images via work station or local image analysing software
OTHERExtracting image feature
Extracting image feature via radiomics or machine learning methods
Sponsors
Ruijin Hospital
Study design
Observational model
OTHER
Time perspective
OTHER
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
1. The diagnosis of dermatomyositis (DM) was made in accordance with the Bohan and Peter criteria 2. The diagnosis of clinically amyopathic dermatomyositis (CADM) was established based on the Sontheimer criteria 3. The diagnosis of interstitial lung disease (ILD) was confirmed in line with the criteria of the American Thoracic Society (ATS) 4. ⁶⁸Ga-FAPI and ¹⁸F-FDG PET/CT scans were performed in the Department of Nuclear Medicine.
Exclusion criteria
Patients with other connective tissue diseases.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Imaging features of 68Ga-FAPI PET image | baseline | conventional PET parameters (SUVmax, SUVmin) and PET textural feature parameters (radiomics) |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Performance of Machine Learning and Reference Models | baseline | ROC curve (Receiver Operating Characteristic curve)、DCA curve (Decision Curve Analysis curve) |
Countries
China
Outcome results
None listed