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Status: Bibliographieeintrag

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Verfasst von:Jaikuna, Tanwiwat [VerfasserIn]   i
 Osorio, Eliana Vasquez [VerfasserIn]   i
 Azria, David [VerfasserIn]   i
 Chang-Claude, Jenny [VerfasserIn]   i
 De Santis, Maria Carmen [VerfasserIn]   i
 Gutiérrez-Enríquez, Sara [VerfasserIn]   i
 van Herk, Marcel [VerfasserIn]   i
 Hoskin, Peter [VerfasserIn]   i
 Lambrecht, Maarten [VerfasserIn]   i
 Lingard, Zoe [VerfasserIn]   i
 Seibold, Petra [VerfasserIn]   i
 Seoane, Alejandro [VerfasserIn]   i
 Sperk, Elena [VerfasserIn]   i
 Symonds, R Paul [VerfasserIn]   i
 Talbot, Christopher J. [VerfasserIn]   i
 Rancati, Tiziana [VerfasserIn]   i
 Rattay, Tim [VerfasserIn]   i
 Reyes, Victoria [VerfasserIn]   i
 Rosenstein, Barry S. [VerfasserIn]   i
 de Ruysscher, Dirk [VerfasserIn]   i
 Vega, Ana [VerfasserIn]   i
 Veldeman, Liv [VerfasserIn]   i
 Webb, Adam [VerfasserIn]   i
 West, Catharine M. L. [VerfasserIn]   i
 Aznar, Marianne C. [VerfasserIn]   i
Titel:Contouring variation affects estimates of normal tissue complication probability for breast fibrosis after radiotherapy
Verf.angabe:Tanwiwat Jaikuna, Eliana Vasquez Osorio, David Azria, Jenny Chang-Claude, Maria Carmen De Santis, Sara Gutiérrez-Enríquez, Marcel van Herk, Peter Hoskin, Maarten Lambrecht, Zoe Lingard, Petra Seibold, Alejandro Seoane, Elena Sperk, R Paul Symonds, Christopher J. Talbot, Tiziana Rancati, Tim Rattay, Victoria Reyes, Barry S. Rosenstein, Dirk de Ruysscher, Ana Vega, Liv Veldeman, Adam Webb, Catharine M.L. West, Marianne C. Aznar
E-Jahr:2023
Jahr:December 2023
Umfang:9 S.
Illustrationen:Illustrationen
Fussnoten:Online verfügbar: 11. September 2023, Artikelversion: 13. September 2023 ; Gesehen am 28.06.2024
Titel Quelle:Enthalten in: The breast
Ort Quelle:Amsterdam [u.a.] : Elsevier, 1992
Jahr Quelle:2023
Band/Heft Quelle:72(2023) vom: Dez., Artikel-ID 103578, Seite 1-9
ISSN Quelle:1532-3080
Abstract:Background - Normal tissue complication probability (NTCP) models can be useful to estimate the risk of fibrosis after breast-conserving surgery (BCS) and radiotherapy (RT) to the breast. However, they are subject to uncertainties. We present the impact of contouring variation on the prediction of fibrosis. - Materials and methods - 280 breast cancer patients treated BCS-RT were included. Nine Clinical Target Volume (CTV) contours were created for each patient: i) CTV_crop (reference), cropped 5 mm from the skin and ii) CTV_skin, uncropped and including the skin, iii) segmenting the 95% isodose (Iso95%) and iv) 3 different auto-contouring atlases generating uncropped and cropped contours (Atlas_skin/Atlas_crop). To illustrate the impact of contour variation on NTCP estimates, we applied two equations predicting fibrosis grade ≥ 2 at 5 years, based on Lyman-Kutcher-Burman (LKB) and Relative Seriality (RS) models, respectively, to each contour. Differences were evaluated using repeated-measures ANOVA. For completeness, the association between observed fibrosis events and NTCP estimates was also evaluated using logistic regression. - Results - There were minimal differences between contours when the same contouring approach was followed (cropped and uncropped). CTV_skin and Atlas_skin contours had lower NTCP estimates (−3.92%, IQR 4.00, p < 0.05) compared to CTV_crop. No significant difference was observed for Atlas_crop and Iso95% contours compared to CTV_crop. For the whole cohort, NTCP estimates varied between 5.3% and 49.5% (LKB) or 2.2% and 49.6% (RS) depending on the choice of contours. NTCP estimates for individual patients varied by up to a factor of 4. Estimates from “skin” contours showed higher agreement with observed events. - Conclusion - Contour variations can lead to significantly different NTCP estimates for breast fibrosis, highlighting the importance of standardising breast contours before developing and/or applying NTCP models.
DOI:doi:10.1016/j.breast.2023.103578
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

kostenfrei: Volltext: https://doi.org/10.1016/j.breast.2023.103578
 kostenfrei: Volltext: https://www.sciencedirect.com/science/article/pii/S0960977623005520
 DOI: https://doi.org/10.1016/j.breast.2023.103578
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Breast cancer
 Fibrosis
 Inter-observer variation
 Late effects
 NTCP modelling
 Radiotherapy
K10plus-PPN:1892423944
Verknüpfungen:→ Zeitschrift

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