Quantifying PPF - Minimum Thresholds and AI We Can Use

Identifying clinically relevant minimum thresholds on quantification software and how AI can make life easier and simpler

Bhavin Jankharia

Case:

This was published as a Youtube Case of the Day 215.

38-year-old presented with an ILD in Oct 2019, following which he had 6 scans (total of 7 scans) showing progression.

Here is a video that shows how I interpret the scans and all the 7 scans together.

The MDM diagnosis was fibrotic hypersensitivity pneumonitis though the appearance appears to be that of a connective tissue disease ILD.

However, this post is about quantification, which we do using Caliper by Imbio and how we can use AI to help with the process.

These charts are tough to analyze. If however you take the raw data from the .csv files and give appropriate instructions to the AI (Claude in this case), you can get the AI to interpret the changes and to pictorially depict these in an easy to understand manner as here

The post also looks at 3 recent papers that have tried to figure out the minimal clinically relevant change and the video below discusses these papers and the results.


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Index and Table of Contents

116 Cases with Videos
11 Cases with Posts
31 Snippets
16 Lectures
41 Cases of the Day (CODs)
New Series - ILD Patterns (3 Done)

Index and Table of Contents
Technical and Practice Issues * Case 11: 62-years old misdiagnosed to have interstitial lung disease - mid-inspiratory and expiratory scans * Snippet 03: Radiation risk and CT chest * Case 23: 60-years old - 40-pack years smoker - right upper lobe nodule - resolved using “mean” reconstructions…

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