% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Rattay:165985,
      author       = {T. Rattay and P. Seibold$^*$ and M. E. Aguado-Barrera and
                      M. Altabas and D. Azria and G. C. Barnett and R. Bultijnck
                      and J. Chang-Claude$^*$ and A. Choudhury and C. E. Coles and
                      A. M. Dunning and R. M. Elliott and M.-P. Farcy Jacquet and
                      S. Gutiérrez-Enríquez and K. Johnson and A. Müller$^*$
                      and G. Post and T. Rancati and V. Reyes and B. S. Rosenstein
                      and D. De Ruysscher and M. C. de Santis and E. Sperk and H.
                      Stobart and R. P. Symonds and B. Taboada-Valladares and A.
                      Vega and L. Veldeman and A. J. Webb and C. M. West and R.
                      Valdagni and C. J. Talbot and Y. Lievens and M. van Eijkeren
                      and P. Ost and V. Fonteyne and C. Monten and W. De Neve and
                      S. Peeters and K. Haustermans and C. Weltens and G. Defraene
                      and M. Lambrecht and E. van Limberghen and E. Briers and C.
                      Bourgier and M. Brengues and R. Draghici and F. Bons and T.
                      Blaschke and C. Weiß and I. Helmbold and C. Weißenberger
                      and P. Stegmaier and J. Claßen and U. Giesche and M.-L.
                      Sautter-Bihl and B. Neu and T. Schnabel and M. Ehmann and B.
                      Gauter-Fleckenstein and C. Herskind and M. Veldwijk and J.
                      Schäfer and T. Giandini and M. Franceschini and C. Sangalli
                      and B. Avuzzi and S. Morlino and L. Lozza and G. Pietro and
                      E. Delmastro and E. Garibaldi and A. Cicchetti and B.
                      Vanneste and B. Piqué-Leiva and M. Molla and A. Giraldo and
                      M. Ramos and R. Lobato-Busto and P. Sosa-Fajardo and L. T.
                      Moya and I. Dominguez-Rios and I. Fajardo-Paneque and P.
                      Calvo-Crespo and A. Carballo and P. Peleteiro and
                      Olivia-Fuentes-Rios and A. Gomez-Caamano and V. Harrop and
                      D. Payne and M. Keni and S. Lavers and S. Wright and S.
                      Thiagarajan and L. Aznar-Garcia and K. Kancherla and C. Kent
                      and S. Vasanthan and D. Appleton and M. Kaushik and F. Kenny
                      and H. Khout and J. Krupa and K. V. Lambert and S. Pilgrim
                      and S. Shokuhi and K. Valassiadou and I. Bioangiu and K.
                      Sampson and A. Osman and C. Faivre-Finn and K. Foweraker and
                      A. Pascoe and C. P. Esler and T. Ward and D. S. Higginson
                      and R. G. Stock and S. Green},
      collaboration = {R. consortium},
      title        = {{E}xternal {V}alidation of a {P}redictive {M}odel for
                      {A}cute {S}kin {R}adiation {T}oxicity in the {REQUITE}
                      {B}reast {C}ohort.},
      journal      = {Frontiers in oncology},
      volume       = {10},
      issn         = {2234-943X},
      address      = {Lausanne},
      publisher    = {Frontiers Media},
      reportid     = {DKFZ-2020-02524},
      pages        = {575909},
      year         = {2020},
      abstract     = {Background: Acute skin toxicity is a common and usually
                      transient side-effect of breast radiotherapy although, if
                      sufficiently severe, it can affect breast cosmesis,
                      aftercare costs and the patient's quality-of-life. The aim
                      of this study was to develop predictive models for acute
                      skin toxicity using published risk factors and externally
                      validate the models in patients recruited into the
                      prospective multi-center REQUITE (validating pREdictive
                      models and biomarkers of radiotherapy toxicity to reduce
                      side-effects and improve QUalITy of lifE in cancer
                      survivors) study. Methods: Patient and treatment-related
                      risk factors significantly associated with acute breast
                      radiation toxicity on multivariate analysis were identified
                      in the literature. These predictors were used to develop
                      risk models for acute erythema and acute desquamation (skin
                      loss) in three Radiogenomics Consortium cohorts of patients
                      treated by breast-conserving surgery and whole breast
                      external beam radiotherapy (n = 2,031). The models were
                      externally validated in the REQUITE breast cancer cohort (n
                      = 2,057). Results: The final risk model for acute erythema
                      included BMI, breast size, hypo-fractionation, boost,
                      tamoxifen use and smoking status. This model was validated
                      in REQUITE with moderate discrimination (AUC 0.65),
                      calibration and agreement between predicted and observed
                      toxicity (Brier score 0.17). The risk model for acute
                      desquamation, excluding the predictor tamoxifen use, failed
                      to validate in the REQUITE cohort. Conclusions: While most
                      published prediction research in the field has focused on
                      model development, this study reports successful external
                      validation of a predictive model using clinical risk factors
                      for acute erythema following radiotherapy after
                      breast-conserving surgery. This model retained
                      discriminatory power but will benefit from further
                      re-calibration. A similar model to predict acute
                      desquamation failed to validate in the REQUITE cohort.
                      Future improvements and more accurate predictions are
                      expected through the addition of genetic markers and
                      application of other modeling and machine learning
                      techniques.},
      cin          = {C020},
      ddc          = {610},
      cid          = {I:(DE-He78)C020-20160331},
      pnm          = {313 - Cancer risk factors and prevention (POF3-313)},
      pid          = {G:(DE-HGF)POF3-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:33216838},
      pmc          = {pmc:PMC7664984},
      doi          = {10.3389/fonc.2020.575909},
      url          = {https://inrepo02.dkfz.de/record/165985},
}