ANALYSIS OF RELATIONSHIPS BETWEEN HETEROGENUOUS RADIOMIC FEATURES OF THROMBUS IN ACUTE ISCHEMIC STROKE

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU150884" target="_blank" >RIV/00216305:26220/23:PU150884 - isvavai.cz</a>

Výsledek na webu

<a href="https://ojs.cvut.cz/ojs/index.php/CTJ/article/view/9453/7159" target="_blank" >https://ojs.cvut.cz/ojs/index.php/CTJ/article/view/9453/7159</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.14311/CTJ.2023.2.01" target="_blank" >10.14311/CTJ.2023.2.01</a>

Jazyk výsledku

angličtina

Název v původním jazyce

ANALYSIS OF RELATIONSHIPS BETWEEN HETEROGENUOUS RADIOMIC FEATURES OF THROMBUS IN ACUTE ISCHEMIC STROKE

Popis výsledku v původním jazyce

Ischemic stroke is one of the most widely recognised cerebral pathologies. Its diagnosis starts with computed tomography (CT). However, a comprehensive understanding of the characteristics of the thrombus is necessary to establish an appropriate and less hazardous treatment. This study focusses on the analysis of thrombus heterogeneity in CT images of patients with acute ischemic stroke (AIS). The radiomic features of the thrombus were used to obtain the voxel distribution in the new feature space. It was then reduced using PCA and subjected to visualisation techniques such as t-distributed Stochastic Neighbour Embedding (tSNE) and UMAP. By evaluating the morphological structure of the clusters created within patients, it was possible to determine the number of thrombus components. This information could help the physician predict the burden on the patient during thrombectomy, such as the number of attempts required for recanalisation.

Název v anglickém jazyce

ANALYSIS OF RELATIONSHIPS BETWEEN HETEROGENUOUS RADIOMIC FEATURES OF THROMBUS IN ACUTE ISCHEMIC STROKE

Popis výsledku anglicky

Ischemic stroke is one of the most widely recognised cerebral pathologies. Its diagnosis starts with computed tomography (CT). However, a comprehensive understanding of the characteristics of the thrombus is necessary to establish an appropriate and less hazardous treatment. This study focusses on the analysis of thrombus heterogeneity in CT images of patients with acute ischemic stroke (AIS). The radiomic features of the thrombus were used to obtain the voxel distribution in the new feature space. It was then reduced using PCA and subjected to visualisation techniques such as t-distributed Stochastic Neighbour Embedding (tSNE) and UMAP. By evaluating the morphological structure of the clusters created within patients, it was possible to determine the number of thrombus components. This information could help the physician predict the burden on the patient during thrombectomy, such as the number of attempts required for recanalisation.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20601 - Medical engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Lékař a technika

ISSN

0301-5491

e-ISSN

—

Svazek periodika

53

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

5

Strana od-do

37-41

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85194049448