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Jaikuna, Tanwiwat
[Verfasser:in];
Osorio, Eliana Vasquez
[Verfasser:in];
Azria, David
[Verfasser:in];
Chang-Claude, Jenny
[Verfasser:in];
De Santis, Maria Carmen
[Verfasser:in];
Gutiérrez-Enríquez, Sara
[Verfasser:in];
van Herk, Marcel
[Verfasser:in];
Hoskin, Peter
[Verfasser:in];
Lambrecht, Maarten
[Verfasser:in];
Lingard, Zoe
[Verfasser:in];
Seibold, Petra
[Verfasser:in];
Seoane, Alejandro
[Verfasser:in];
Sperk, Elena
[Verfasser:in];
Symonds, R Paul
[Verfasser:in];
Talbot, Christopher J.
[Verfasser:in];
Rancati, Tiziana
[Verfasser:in];
Rattay, Tim
[Verfasser:in];
Reyes, Victoria
[Verfasser:in];
Rosenstein, Barry S.
[Verfasser:in];
de Ruysscher, Dirk
[Verfasser:in];
Vega, Ana
[Verfasser:in];
Veldeman, Liv
[Verfasser:in];
Webb, Adam
[Verfasser:in];
West, Catharine M. L.
[Verfasser:in];
Contouring variation affects estimates of normal tissue complication probability for breast fibrosis after radiotherapy
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- Medientyp: E-Artikel
- Titel: Contouring variation affects estimates of normal tissue complication probability for breast fibrosis after radiotherapy
- Beteiligte: Jaikuna, Tanwiwat [Verfasser:in]; Osorio, Eliana Vasquez [Verfasser:in]; Azria, David [Verfasser:in]; Chang-Claude, Jenny [Verfasser:in]; De Santis, Maria Carmen [Verfasser:in]; Gutiérrez-Enríquez, Sara [Verfasser:in]; van Herk, Marcel [Verfasser:in]; Hoskin, Peter [Verfasser:in]; Lambrecht, Maarten [Verfasser:in]; Lingard, Zoe [Verfasser:in]; Seibold, Petra [Verfasser:in]; Seoane, Alejandro [Verfasser:in]; Sperk, Elena [Verfasser:in]; Symonds, R Paul [Verfasser:in]; Talbot, Christopher J. [Verfasser:in]; Rancati, Tiziana [Verfasser:in]; Rattay, Tim [Verfasser:in]; Reyes, Victoria [Verfasser:in]; Rosenstein, Barry S. [Verfasser:in]; de Ruysscher, Dirk [Verfasser:in]; Vega, Ana [Verfasser:in]; Veldeman, Liv [Verfasser:in]; Webb, Adam [Verfasser:in]; West, Catharine M. L. [Verfasser:in]; Aznar, Marianne C. [Verfasser:in]
-
Erschienen:
December 2023
- Erschienen in: The breast ; 72(2023) vom: Dez., Artikel-ID 103578, Seite 1-9
- Sprache: Englisch
- DOI: 10.1016/j.breast.2023.103578
- Identifikator:
- Schlagwörter: Breast cancer ; Fibrosis ; Inter-observer variation ; Late effects ; NTCP modelling ; Radiotherapy
- Entstehung:
-
Anmerkungen:
Online verfügbar: 11. September 2023, Artikelversion: 13. September 2023
- Beschreibung: 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.
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