Cardiac Scaling Analysis Laboratory

An interactive educational platform for exploring cardiac measurement scaling approaches across different methodologies. This tool provides factual, data-driven comparisons of traditional ratiometric indexing with allometric scaling approaches, allowing users to understand the implications of different scaling choices.

🔬 Scientific Framework

The tool implements the scaling theory framework described by Dewey et al. and Gutgesell & Rembold, applied to the comprehensive reference dataset published by Strom et al. from the Multi-Ethnic Study of Atherosclerosis (MESA).

Four Scaling Approaches

1. Ratiometric BSA: Current clinical standard (linear indexing to BSA)
2. Allometric LBM: Biological scaling using lean body mass
3. Allometric BSA: Geometric scaling using body surface area
4. Allometric Height: Pure geometric scaling using height

Measurement Categories

• Linear (1D): Dimensions, diameters, thicknesses
• Area (2D): Chamber areas
• Mass/Volume (3D): Tissue masses, chamber volumes, flow rates

🚀 Quick Start

Prerequisites

• Node.js 18+
• npm or yarn

Installation

# Clone the repository
git clone [your-repo-url]
cd cardiac-scaling-analysis-laboratory

# Install dependencies
npm install

# Start development server
npm run dev

# Build for production
npm run build

Deployment

The built application can be deployed to any static hosting service (Netlify, Vercel, GitHub Pages, etc.).

📊 Features

• Interactive Scaling Comparisons: Visual comparison of different scaling methodologies
• Measurement Type Organization: Analysis grouped by geometric dimensionality (1D/2D/3D)
• Formula Selection: Multiple BSA and LBM calculation options
• Coefficient Derivation: Transparent implementation of the Dewey methodology
• Data Export: CSV export capabilities for further analysis
• Progressive Disclosure: Educational tooltips and detailed methodology explanations

📚 Data Sources

Primary Dataset

Strom JB, Zhao Y, Farrell A, et al. Reference Values for Indexed Echocardiographic Chamber Sizes in Older Adults: The Multi-Ethnic Study of Atherosclerosis. J Am Heart Assoc. 2023;13:e034029. doi:10.1161/JAHA.124.034029

Theoretical Framework

Dewey FE, Rosenthal D, Murphy DJ Jr, Froelicher VF, Ashley EA. Does size matter? Clinical applications of scaling cardiac size and function for body size. Circulation. 2008;117:2279-2287. doi:10.1161/CIRCULATIONAHA.107.736785

⚠️ Important Disclaimers

Educational Use Only: This tool is intended for educational exploration of scaling principles and research purposes only. All data is derivative from published literature. Not for clinical use or patient care decisions.

No Clinical Recommendations: We are not proposing that derived coefficients be used clinically. All reference data comes from published literature and this analysis is exploratory in nature.

🛠️ Technical Architecture

• Framework: React 19 + TypeScript
• Build Tool: Vite
• Styling: Pico CSS
• Charts: Recharts
• Body Composition: Multiple validated formulas (Boer, Hume, Lee, Yu, etc.)

📁 Project Structure

src/
├── components/          # React components
├── data/               # Data definitions and scaling laws
├── utils/              # Body composition calculations
└── config/             # Version and feature flags

🤝 Contributing

This is an educational research tool. Issues and suggestions for improvements are welcome.

📄 License

[Specify your license here]

🔗 Citation

If you use this tool in your research, please cite:

[Your citation format here]
Cardiac Scaling Analysis Laboratory. [Year]. 
Available at: [parameterz.github.io/cardiac-scaling](https://parameterz.github.io/cardiac-scaling/)

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