Training a mathematical model to estimate lung weight and volume using anthropometric and sociodemographic features

Principal Investigator

Name
Lygia Costa

Degrees
M.Sc.

Institution
Independent Researcher

Position Title
Medical Student

Email
lygiamarina@id.uff.br

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-753

Initial CDAS Request Approval
Jan 27, 2021

Title
Training a mathematical model to estimate lung weight and volume using anthropometric and sociodemographic features

Summary
Our main goal is to elaborate a mathematical model of linear or non-linear combination between anthropometric, sociodemographic and/or CT measures that allow us to adjust the lung volume and weight to calculate a more reliable pulmonary involvement (PI). The idea is based on the studies that indicate that pathologies such as COVID-19 and COPD alter the lung volume and weight.

1. Estimate lung volume and weight using CT measures;
2. Assess which anthropometric and sociodemographic variables have the greatest influence on lung volume and weight;
3. Calculate the adjusted lung volume and weight using, at first, a linear combination between the most relevant anthropometric and sociodemographic variables, such as sex, age and height;
4. Estimate the PI using the CT-estimated lung volume and the adjusted lung volume;
5. Compare PI between control cases and compromised cases (COVID-19, COPD etc.) using statistical tests;
6. Assess correlation between PI and lung weight (CT-estimated and adjusted) using statistical correlation analysis;
7. Use coefficients found in step 2 as a mathematical model to adjust lung volume and weight in new data.

Aims

• Use anthropometric and sociodemographic measures to adjust the CT-estimated lung volume and the CT-estimated lung weight;
• Assess the PI in diseases such as COVID-19 and COPD using the adjusted lung volume;
• Assess whether the PI is more strongly associated with the adjusted lung weight than with the CT-estimated lung weight;
• Assess whether the PI estimation should consider the adjusted lung volume and weight in order to obtain a more reliable result.

Collaborators

Alysson Roncally Silva Carvalho, MD, PhD - Cardiovascular R&D Center, Faculty of Medicine, Centro Hospitalar Universitário do Porto, Porto University, Porto, Portugal