Estimation of Covid-19 lungs damage based on computer tomography images analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064173%3A_____%2F25%3A43928732" target="_blank" >RIV/00064173:_____/25:43928732 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11120/25:43928732 RIV/60461373:22340/25:43932357

Výsledek na webu

<a href="https://doi.org/10.12688/f1000research.109020.3" target="_blank" >https://doi.org/10.12688/f1000research.109020.3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.12688/f1000research.109020.3" target="_blank" >10.12688/f1000research.109020.3</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Estimation of Covid-19 lungs damage based on computer tomography images analysis

Popis výsledku v původním jazyce

Modern treatment is based on reproducible quantitative analysis of available data. The Covid-19 pandemic did accelerate development and research in several multidisciplinary areas. One of them is the use of software tools for faster and reproducible patient data evaluation. A CT scan can be invaluable for a search of details, but it is not always easy to see the big picture in 3D data. Even in the visual analysis of CT slice by slice can inter and intra variability makes a big difference. We present an ImageJ tool developed together with the radiology center of Faculty hospital Královské Vinohrady for CT evaluation of patients with COVID-19. The tool was developed to help estimate the percentage of lungs affected by the infection. The patients can be divided into five groups based on percentage score and proper treatment can be applied.

Název v anglickém jazyce

Estimation of Covid-19 lungs damage based on computer tomography images analysis

Popis výsledku anglicky

Modern treatment is based on reproducible quantitative analysis of available data. The Covid-19 pandemic did accelerate development and research in several multidisciplinary areas. One of them is the use of software tools for faster and reproducible patient data evaluation. A CT scan can be invaluable for a search of details, but it is not always easy to see the big picture in 3D data. Even in the visual analysis of CT slice by slice can inter and intra variability makes a big difference. We present an ImageJ tool developed together with the radiology center of Faculty hospital Královské Vinohrady for CT evaluation of patients with COVID-19. The tool was developed to help estimate the percentage of lungs affected by the infection. The patients can be divided into five groups based on percentage score and proper treatment can be applied.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

30224 - Radiology, nuclear medicine and medical imaging

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

F1000Research

ISSN

2046-1402

e-ISSN

2046-1402

Svazek periodika

11

Číslo periodika v rámci svazku

July

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

14

Strana od-do

326

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85152908025