Excellent interobserver agreement and steep learning curve for target volume delineation for stereotactic arrhythmia radioablation using a commercial software
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023001%3A_____%2F25%3A00085741" target="_blank" >RIV/00023001:_____/25:00085741 - isvavai.cz</a>
Result on the web
<a href="https://academic.oup.com/europace/article/27/7/euaf122/8163513" target="_blank" >https://academic.oup.com/europace/article/27/7/euaf122/8163513</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1093/europace/euaf122" target="_blank" >10.1093/europace/euaf122</a>
Alternative languages
Result language
angličtina
Original language name
Excellent interobserver agreement and steep learning curve for target volume delineation for stereotactic arrhythmia radioablation using a commercial software
Original language description
Aims Stereotactic arrhythmia radioablation (STAR) has emerged as bail-out treatment for ventricular tachycardia (VT). Accurate, reproducible, and easy-to-use data transfer from electroanatomical mapping (EAM) systems to radiotherapy planning CT is desirable. We aim to evaluate interobserver variability, ease of use, and learning curve for EAM based target volume (CardTV-EPinv) creation and transfer using available software packages. Methods and results In patients considered for STAR, CardTV-EPinv were created using ADAS and Slicer3D for workflow comparison. Four CardTV-EPinv (clinically targeted volume and three mock targets) were created by an experienced operator and a 2nd-year medical student, based on endocardial EAM tags indicating VT substrate location. CardTV-EPinv sizes, Hausdorff distances (HDs), and workflow duration were measured to assess interobserver variability and learning curve. Agreement between CardTV-EPinv was high using ADAS and Slicer3D workflows (HD 3.64 mm [2.7-4.5]). ADAS workflow was faster and more robust (ADAS 26 min [24-29] vs. Slicer3D 65 min [61-70], P < 0.001; system crashes: ADAS 0 vs. Slicer3D 7). In 20 patients (80% non-ischaemic cardiomyopathy, LVEF 35 +/- 14%), 80 CardTV-EPinv were created using ADAS. CardTV-EPinv size was similar for both observers (11.8 mL [10.1-13.7] vs. 10.7 mL [9.6-11.8], P = 0.17), with high interobserver agreement (HD 1.68 mm [1.45-1.96]; 95th percentile HD < 4.8 mm [3.5-5.7]). Linear regression showed a steep learning curve for the student (P = 0.01). Conclusion CardTV-EPinv creation showed excellent interobserver agreement and was faster and more robust using ADAS than 3D slicer. The steep learning curve appears clinically relevant given the limited use of STAR even in high-volume VT ablation centres.
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
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Europace
ISSN
1099-5129
e-ISSN
1532-2092
Volume of the periodical
27
Issue of the periodical within the volume
7
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
"art. no. euaf122"
UT code for WoS article
001527076900001
EID of the result in the Scopus database
2-s2.0-105010383532