The Effect of Primary Aldosteronism on Carotid Artery Texture in Ultrasound Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F22%3A10453186" target="_blank" >RIV/00064165:_____/22:10453186 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11110/22:10453186 RIV/68407700:21230/22:00361990
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=X-wtrSQyi" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=X-wtrSQyi</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/diagnostics12123206" target="_blank" >10.3390/diagnostics12123206</a>
Alternative languages
Result language
angličtina
Original language name
The Effect of Primary Aldosteronism on Carotid Artery Texture in Ultrasound Images
Original language description
Primary aldosteronism (PA) is the most frequent cause of secondary hypertension. Early diagnoses of PA are essential to avoid the long-term negative effects of elevated aldosterone concentration on the cardiovascular and renal system. In this work, we study the texture of the carotid artery vessel wall from longitudinal ultrasound images in order to automatically distinguish between PA and essential hypertension (EH). The texture is characterized using 140 Haralick and 10 wavelet features evaluated in a region of interest in the vessel wall, followed by the XGBoost classifier. Carotid ultrasound studies were carried out on 33 patients aged 42-72 years with PA, 52 patients with EH, and 33 normotensive controls. For the most clinically relevant task of distinguishing PA and EH classes, we achieved a classification accuracy of 73% as assessed by a leave-one-out procedure. This result is promising even compared to the 57% prediction accuracy using clinical characteristics alone or 63% accuracy using a combination of clinical characteristics and intima-media thickness (IMT) parameters. If the accuracy is improved and the method incorporated into standard clinical procedures, this could eventually lead to an improvement in the early diagnosis of PA and consequently improve the clinical outcome for these patients in future.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30201 - Cardiac and Cardiovascular systems
Result continuities
Project
<a href="/en/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Diagnostics [online]
ISSN
2075-4418
e-ISSN
2075-4418
Volume of the periodical
12
Issue of the periodical within the volume
12
Country of publishing house
CH - SWITZERLAND
Number of pages
14
Pages from-to
3206
UT code for WoS article
000902242500001
EID of the result in the Scopus database
2-s2.0-85144861663