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Table 2 µCT automatically computed biomarkers

From: A fully automated micro‑CT deep learning approach for precision preclinical investigation of lung fibrosis progression and response to therapy

µCT biomarkers of interest

 

Name

Description

Unit

Formula

Morphological biomarkers

%Normo

Percentage of parenchyma which is normo-aerated. It reflects the number of no/mild lesions

%

Percent voxels in range [− 860, − 435]*

%Hypo

Percentage of parenchyma which is hypo-aerated. It reflects the number of moderate lesions

%

Percent voxels in range (− 435, − 121)*

%Non

Percentage of parenchyma which is non-aerated. It reflects the number of severe lesions

%

Percent voxels in range [− 121, 121]*

Tissue

Lung volume without gas

mm3

\({\mathrm{V}}_{\mathrm{P}02}-\mathrm{FRC}\)

Functional biomarkers

\(\%{Gas}_{P01}\)

Percentage of gas volume at the end of inspiration phase (P01)

%

\(\mathrm{Air}\cdot 100/{\mathrm{V}}_{\mathrm{P}01}\)  

\(\%{Gas}_{P02}\)

Percentage of gas volume at the end of expiration phase (P02)

%

\(FRC\cdot 100/{V}_{P02}\)  

Tidal Volume (TV)

Volume of air exchanged between inspiration and expiration

mm3

\(\mathrm{Air}-\mathrm{FRC}\)