2023•Сибирский журнал клинической и экспериментальной медициныOpen access

Possibilities of densitometry in the assessment of diffuse changes in the lung parenchyma

Maria M. Suchilova, Ivan Andreevich Blokhin, Maria R. Kodenko, Roman V. Reshetnikov, А. Е. Николаев, Olga V. Omelyanskaya, Anton V. Vladzymyrskyy

Open full text 0 citations

Abstract

The data obtained from chest computed tomography (CT) can be analyzed not only visually, but also quantitatively. Quantitative assessment allows a more accurate and objective evaluation of the disease severity. Densitometry is the most researched way to quantify CT data – automatic analysis of lung densities expressed in Hounsfield units. This review is focused on the types of diseases that can be characterized by the formalization of the diagnostic task and application of densitometry, as well as on the limitations of the method and the ways to cope with them.

Open-access reader

About this research paper

What this paper is about

The data obtained from chest computed tomography (CT) can be analyzed not only visually, but also quantitatively. Quantitative assessment allows a more accurate and objective evaluation of the disease severity. Densitometry is the most researched way to quantify CT data – automatic analysis of lung densities expressed in Hounsfield units. This review is focused on the types of diseases that can be characterized by the formalization of the diagnostic task and application of densitometry, as well as on the limitations of the method and the ways to cope with them.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The data obtained from chest computed tomography (CT) can be analyzed not only visually, but also quantitatively. Quantitative assessment allows a more accurate and objective evaluation of the disease severity. Densitometry is the most researched way to quantify CT data – automatic analysis of lung densities expressed in Hounsfield units. This review is focused on the types of diseases that can be characterized by the formalization of the diagnostic task and application of densitometry, as well as on the limitations of the method and the ways to cope with them.

Key concepts: Densitometry, Hounsfield scale, Computed tomography, Parenchyma, Computer science, Lung, Medicine, Radiology

Related papers

Back to paper searchBrowse research topicsOriginal source
Possibilities of densitometry in the assessment of diffuse changes in the lung parenchyma — Research Paper | ScholarLens