• Je něco špatně v tomto záznamu ?

Auto-contouring of cardiac substructures for Stereotactic arrhythmia radioablation (STAR): A STOPSTORM.eu consortium study

LHG. van der Pol, O. Blanck, M. Grehn, T. Blazek, L. Knybel, BV. Balgobind, JJC. Verhoeff, M. Miszczyk, S. Blamek, S. Reichl, N. Andratschke, F. Mehrhof, J. Boda-Heggemann, B. Tomasik, S. Mandija, MF. Fast

. 2025 ; 202 (-) : 110610. [pub] 20241101

Jazyk angličtina Země Irsko

Typ dokumentu časopisecké články, multicentrická studie

Perzistentní odkaz   https://www.medvik.cz/link/bmc25002886

BACKGROUND/PURPOSE: High doses to healthy cardiac substructures (CS) in stereotactic arrhythmia radioablation (STAR) raise concerns regarding potential treatment-induced cardio-toxicity. However, CS contours are not routinely created, hindering the understanding of the CS dose-effect relationships. To address this issue, the alignment of CS contouring was initiated within the STOPSTORM consortium. In this study, we developed and evaluated auto-contouring models trained to delineate CS and major vessels in ventricular tachycardia (VT) patients. METHODS: Eight centres provided standard treatment planning computed tomography (CT) and/or contrast-enhanced CT datasets of 55 VT patients, each including 16 CS. Auto-contouring models were trained to contour either large structures or small structures. Dice Similarity Coefficient (DSC), 95 % Hausdorff distance (HD95) and volume ratio (VR) were used to evaluate model performance versus inter-observer variation (IOV) on seven VT patient test cases. Significant differences were tested using the Mann-Whitney U test. RESULTS: The performance on the four chambers and the major vessels (median DSC: 0.88; HD95: 5.8-19.4 mm; VR: 1.09) was similar to the IOV (median DSC: 0.89; HD95: 4.8-14.0 mm; VR: 1.20). For the valves, model performance (median DSC: 0.37; HD95: 11.6 mm; VR: 1.63) was similar to the IOV (median DSC: 0.41; HD95: 12.4 mm; VR: 3.42), but slightly worse for the coronary arteries (median DSC: 0.33 vs 0.42; HD95: 24.4 mm vs 16.9 mm; VR: 1.93 vs 3.30). The IOV for these small structures remains large despite using contouring guidelines. CONCLUSION: CS auto-contouring models trained on VT patient data perform similarly to IOV. This allows for time-efficient evaluation of CS as possible organs-at-risk.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc25002886
003      
CZ-PrNML
005      
20250206103926.0
007      
ta
008      
250121e20241101ie f 000 0|eng||
009      
AR
024    7_
$a 10.1016/j.radonc.2024.110610 $2 doi
035    __
$a (PubMed)39489426
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a ie
100    1_
$a van der Pol, Luuk H G $u Department of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands. Electronic address: L.H.G.vanderpol@umcutrecht.nl
245    10
$a Auto-contouring of cardiac substructures for Stereotactic arrhythmia radioablation (STAR): A STOPSTORM.eu consortium study / $c LHG. van der Pol, O. Blanck, M. Grehn, T. Blazek, L. Knybel, BV. Balgobind, JJC. Verhoeff, M. Miszczyk, S. Blamek, S. Reichl, N. Andratschke, F. Mehrhof, J. Boda-Heggemann, B. Tomasik, S. Mandija, MF. Fast
520    9_
$a BACKGROUND/PURPOSE: High doses to healthy cardiac substructures (CS) in stereotactic arrhythmia radioablation (STAR) raise concerns regarding potential treatment-induced cardio-toxicity. However, CS contours are not routinely created, hindering the understanding of the CS dose-effect relationships. To address this issue, the alignment of CS contouring was initiated within the STOPSTORM consortium. In this study, we developed and evaluated auto-contouring models trained to delineate CS and major vessels in ventricular tachycardia (VT) patients. METHODS: Eight centres provided standard treatment planning computed tomography (CT) and/or contrast-enhanced CT datasets of 55 VT patients, each including 16 CS. Auto-contouring models were trained to contour either large structures or small structures. Dice Similarity Coefficient (DSC), 95 % Hausdorff distance (HD95) and volume ratio (VR) were used to evaluate model performance versus inter-observer variation (IOV) on seven VT patient test cases. Significant differences were tested using the Mann-Whitney U test. RESULTS: The performance on the four chambers and the major vessels (median DSC: 0.88; HD95: 5.8-19.4 mm; VR: 1.09) was similar to the IOV (median DSC: 0.89; HD95: 4.8-14.0 mm; VR: 1.20). For the valves, model performance (median DSC: 0.37; HD95: 11.6 mm; VR: 1.63) was similar to the IOV (median DSC: 0.41; HD95: 12.4 mm; VR: 3.42), but slightly worse for the coronary arteries (median DSC: 0.33 vs 0.42; HD95: 24.4 mm vs 16.9 mm; VR: 1.93 vs 3.30). The IOV for these small structures remains large despite using contouring guidelines. CONCLUSION: CS auto-contouring models trained on VT patient data perform similarly to IOV. This allows for time-efficient evaluation of CS as possible organs-at-risk.
650    _2
$a lidé $7 D006801
650    12
$a radiochirurgie $x metody $7 D016634
650    12
$a komorová tachykardie $7 D017180
650    12
$a počítačová rentgenová tomografie $7 D014057
650    _2
$a ženské pohlaví $7 D005260
650    _2
$a mužské pohlaví $7 D008297
650    _2
$a srdce $x účinky záření $7 D006321
650    _2
$a plánování radioterapie pomocí počítače $x metody $7 D011880
650    _2
$a lidé středního věku $7 D008875
650    _2
$a kritické orgány $x účinky záření $7 D058958
650    _2
$a senioři $7 D000368
655    _2
$a časopisecké články $7 D016428
655    _2
$a multicentrická studie $7 D016448
700    1_
$a Blanck, Oliver $u Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany
700    1_
$a Grehn, Melanie $u Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany
700    1_
$a Blazek, Tomáš $u Department of Oncology, University Hospital and Faculty of Medicine, Ostrava, Czech Republic
700    1_
$a Knybel, Lukáš $u Department of Oncology, University Hospital and Faculty of Medicine, Ostrava, Czech Republic
700    1_
$a Balgobind, Brian V $u Department of Radiation Oncology, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
700    1_
$a Verhoeff, Joost J C $u Department of Radiation Oncology, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
700    1_
$a Miszczyk, Marcin $u Collegium Medicum - Faculty of Medicine, WSB University, Dąbrowa Górnicza, Poland; IIIrd Radiotherapy and Chemotherapy Department, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice, Poland; Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
700    1_
$a Blamek, Slawomir $u Department of Radiotherapy, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice, Poland
700    1_
$a Reichl, Sabrina $u Department of Radiation Oncology, University Hospital of Zurich, Zurich, Switzerland
700    1_
$a Andratschke, Nicolaus $u Department of Radiation Oncology, University Hospital of Zurich, Zurich, Switzerland
700    1_
$a Mehrhof, Felix $u Department for Radiation Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany
700    1_
$a Boda-Heggemann, Judit $u Department of Radiation Oncology, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
700    1_
$a Tomasik, Bartłomiej $u Department of Radiotherapy, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice, Poland; Department of Oncology and Radiotherapy, Faculty of Medicine, Medical University of Gdańsk, Gdańsk, Poland
700    1_
$a Mandija, Stefano $u Department of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands
700    1_
$a Fast, Martin F $u Department of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands. Electronic address: m.f.fast-2@umcutrecht.nl
773    0_
$w MED00004049 $t Radiotherapy and oncology $x 1879-0887 $g Roč. 202 (20241101), s. 110610
856    41
$u https://pubmed.ncbi.nlm.nih.gov/39489426 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y - $z 0
990    __
$a 20250121 $b ABA008
991    __
$a 20250206103921 $b ABA008
999    __
$a ok $b bmc $g 2262965 $s 1238893
BAS    __
$a 3
BAS    __
$a PreBMC-MEDLINE
BMC    __
$a 2025 $b 202 $c - $d 110610 $e 20241101 $i 1879-0887 $m Radiotherapy and oncology $n Radiother Oncol $x MED00004049
LZP    __
$a Pubmed-20250121

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...