CCHMC-CAIIR/PED-ABD-BIOMARKER-NORMS

OSCAR HF Calculator - Pediatric Biomarker Quantile and Z-Score Calculator

This Hugging Face Space provides a web interface for calculating quantile percentiles and z-scores for pediatric biomarkers based on age and sex-specific reference data.

Features

🎯 Biomarker Analysis

• —Calculate quantile percentiles (0-100th percentile)
• —Generate standardized z-scores
• —Age and sex-specific reference curves (ages 2-17 years)

📊 Available Biomarkers

• —Liver HU: Liver attenuation in Hounsfield Units
• —Liver Volume: Liver volume in milliliters
• —Spleen Volume: Spleen volume in milliliters
• —Kidney Volume: Kidney volume in milliliters
• —L3 Total Muscle Area: L3 vertebral level total muscle area in cm²
• —BMD L1 High Sensitivity: Bone mineral density L1 high sensitivity in HU
• —BMD L1 Standard: Bone mineral density L1 standard in HU
• —L3 VAT Area: L3 visceral adipose tissue area in cm²
• —L3 SAT Area: L3 subcutaneous adipose tissue area in cm²

💻 Two Input Methods

Manual Input

• —Enter individual patient data
• —Instant calculation and visualization
• —Perfect for single patient assessments

CSV Batch Processing

• —Upload CSV files with multiple patients
• —Process hundreds of patients at once
• —Download results table

📈 Interactive Visualizations

• —Side-by-side male/female quantile curves
• —Patient data points highlighted in red
• —Hover information with detailed statistics

How to Use

Option 1: Manual Input

1. 1.Select a biomarker from the dropdown
2. 2.Enter patient's age (2-17 years) and sex
3. 3.Input the biomarker value
4. 4.Click "Calculate" to get results
5. 5.View the interactive plot showing quantile curves

Option 2: CSV Upload

1. 1.Download the example CSV template
2. 2.Fill in your patient data
3. 3.Upload the CSV file
4. 4.Click "Process Batch" to calculate all patients
5. 5.Download the results as a CSV file

CSV Format

Your CSV should have these columns:

• —age: Patient age (2-17 years)
• —sex: "Male" or "Female"
• —biomarker: One of the available biomarkers
• —biomarker_value: Numeric value for the biomarker

Results Interpretation

• —Quantile: Shows the percentile rank (0.0-1.0, multiply by 100 for percentage)
• —Z-Score: Standard score showing how many standard deviations from the mean
• —Visualization: Red points on the curves show patient's position relative to population norms

Clinical Context

This calculator is based on quantile regression analysis of pediatric imaging biomarkers and provides:

• —Age and sex-specific reference ranges
• —Standardized z-scores for clinical interpretation
• —Population-based percentile rankings
• —Supports ages 2-17 years with sex-specific curves

Data Source

The reference data is based on quantile regression analysis of pediatric imaging biomarkers, providing robust age and sex-specific percentile curves for clinical assessment.