An interactive web app for the prognostic assessment of Polycystic Liver Disease progression.
The Charité Imaging Classification (ChIC) helps clinicians and researchers assess and visualize the progression of Polycystic Liver Disease. It stratifies prognosis from height-adjusted total liver volume (htTLV) and age, assigning a Charité Imaging Class (A–E) which can aid in estimating future risk of liver events. All computation runs in your browser and no data leaves your device. Try it here
The ChIC app is an informational, educational, and research tool — not a diagnostic device. See the full disclaimer here.
Full documentation lives in docs/:
| Page | What it covers |
|---|---|
| Clinical background | What PLD is, the science behind the classification, its publication history and the model. |
| User guide | Features and an annotated walkthrough of every part of the interface. |
| Data formats | Batch import (Excel / CSV / JSON) and export (Excel / CSV / JSON / PNG) reference. |
| URL parameters | Preset inputs and embed/kiosk mode via URL query parameters. |
| Privacy & offline use | Client-side data storage and Progressive Web App (PWA) install/offline behaviour. |
| Disclaimer | Full disclaimer and usage guidelines. |
| Citation & credits | How to cite the ChIC, plus creators and contributors. |
npm ci # install dependencies (Node 20 — see .nvmrc)
npm run dev # dev server on http://localhost:8137
npm run build # production build -> dist/
npm test # run the Vitest suiteSee CONTRIBUTING.md for the full development guide and quality gates, and AGENTS.md for architecture, conventions, and load-bearing invariants.
Vue 3 + Vite 6 · Chart.js 4 · exceljs · vite-plugin-pwa · ESLint + Prettier + Vitest. Plain JavaScript, deployed to GitHub Pages.
If you use ChIC in research or publication, please cite the ChIC paper (DOI/PMID forthcoming). Details in Citation & credits.
MIT © 2026 Carolin Brigl and contributors.
Email jan.halbritter@charite.de or open an issue.