TY  - JOUR 
AU  - Jaikuna, T.
AU  - Osorio, E.V.
AU  - Azria, D.
AU  - Chang-Claude, J.
AU  - De Santis, M.C.
AU  - Gutiérrez-Enríquez, S.
AU  - van Herk, M.
AU  - Hoskin, P.
AU  - Lambrecht, M.
AU  - Lingard, Z.
AU  - Seibold, P.
AU  - Seoane, A.
AU  - Sperk, E.
AU  - Symonds, R.P.
AU  - Talbot, C.J.
AU  - Rancati, T.
AU  - Rattay, T.
AU  - Reyes, V.
AU  - Rosenstein, B.S.
AU  - de Ruysscher, D.
AU  - Vega Gliemmo, Ana
AU  - Veldeman, L.
AU  - Webb, A.
AU  - West, C.M.L.
AU  - Aznar, M.C.
PY  - 2023
SN  - 1532-3080
UR  - http://hdl.handle.net/20.500.11940/21270
AB  - 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...
LA  - eng
KW  - Female
KW  - Humans
KW  - Radiotherapy Dosage
KW  - Breast Neoplasms
KW  - Breast
KW  - Radiotherapy Planning, Computer-Assisted
KW  - Probability
KW  - Fibrocystic Breast Disease
KW  - Fibrosis
TI  - Contouring variation affects estimates of normal tissue complication probability for breast fibrosis after radiotherapy
DO  - 10.1016/j.breast.2023.103578
T2  - Breast
KW  - FPGMX
VL  - 72
ER  -