Quantitative Assessment of Parenchymal Involvement Using 3D Lung Model in Adolescent With Covid-19 Interstitial Pneumonia

Abstract

Background: Amount of parenchymal involvement in patients with interstitial pneumonia Covid-19 related, seems to be associated with a worse prognosis. Nowadays 3D reconstruction imaging is expanding its role in clinical medical practice. We aimed to use 3D lung reconstruction of a young lady affected by Sars-CoV2 infection and interstitial pneumonia, to better visualize, and quantitatively assess the parenchymal involvement. Methods: Volumetric Chest CT scan was performed in a 15 years old girl with interstitial lung pneumonia, Sars-CoV2 infection related. 3D modeling of the lungs, with differentiation of healthy and affected parenchymal area were obtained by using multiple software. Results: 3D reconstruction imaging allowed us to quantify the lung parenchyma involved, Self-explaining 3D images, useful for the understanding, and discussion of the clinical case were also obtained. Conclusions: Quantitative Assessment of Parenchymal Involvement Using 3D Lung Model in Covid-19 Infection is feasible and it provides information which could play a role in the management and risk stratification of these patients.

Keywords: 3D in Covid19; 3D lung reconstructions; 3D modeling in pneumonia; 3D parenchima reconstruction; 3D quantify in pneumonia; 3D rendering in pneumonia.

Figure 1

(A) Green mask of normal parenchyma segmentation within Hounsfield range −1024Hu to −543Hu. (B) Light blue mask of sub-pleural GGO areas segmentation within Hounsfield range between −957Hu to +1246Hu. (C) Pink mask spot consolidations segmentation within Hounsfield range between −834Hu to +356Hu.

Figure 2

Back view (A), and frontal view (B) of lungs parenchyma (crystal clear), with GGO areas in yellow, and spot consolidation in red.