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Selection for proton radiotherapy of grade 1-3 glioma patients.
Byskov, C S; Muhic, A; Dahlrot, R H; Haslund, C A; Guldberg, T L; Høyer, M; Nyström, P W; Dysager, L; Hansen, S; Haldbo-Classen, L; Trip, A K; Lassen-Ramshad, Y; Weber, B; Lukacova, S; Hansen, C R; Kallehauge, J F.
Afiliación
  • Byskov CS; Dept of Oncology, Aarhus University Hospital, Aarhus, Denmark.
  • Muhic A; Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.
  • Dahlrot RH; Dept of Oncology, Rigshospitalet, Copenhagen, Denmark.
  • Haslund CA; Dept of Oncology, Odense University Hospital, Odense, Denmark.
  • Guldberg TL; Dept of Oncology, Aalborg University Hospital, Aalborg, Denmark.
  • Høyer M; Dept of Oncology, Aalborg University Hospital, Aalborg, Denmark.
  • Nyström PW; Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.
  • Dysager L; Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.
  • Hansen S; Dept of Oncology, Odense University Hospital, Odense, Denmark.
  • Haldbo-Classen L; Dept of Oncology, Odense University Hospital, Odense, Denmark.
  • Trip AK; Dept of Oncology, Aarhus University Hospital, Aarhus, Denmark.
  • Lassen-Ramshad Y; Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.
  • Weber B; Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.
  • Lukacova S; Dept of Oncology, Aarhus University Hospital, Aarhus, Denmark.
  • Hansen CR; Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.
  • Kallehauge JF; Dept of Oncology, Aarhus University Hospital, Aarhus, Denmark.
Clin Transl Radiat Oncol ; 48: 100836, 2024 Sep.
Article en En | MEDLINE | ID: mdl-39258242
ABSTRACT

Background:

For adult patients with grade 1-3 gliomas, identifying patients with an indication for proton therapy (PT) can be challenging due to sparse evidence supporting its benefits. In this study, we aimed to ensure national consensus and develop a decision support tool to aid clinicians in identifying patients with grade 1-3 gliomas eligible for PT.

Methods:

Sixty-one historic patients referred for postoperative radiotherapy for glioma grade 1-3 were included in this study and had new photon therapy and PT plans calculated. These plans along with clinical parameters were presented to neurooncologists with experience in treating brain tumours. The patients were presented at three workshops (WSs), where each neurooncologist individually had to choose between photon and proton therapy. Important parameters were selected using cross validation. Multivariable logistic regression was used to predict the neurooncologists' treatment modality choice.

Results:

At the three WSs 23, 24 and 19 randomly selected patients were presented. Seventy-five percent of the neurooncologists agreed for 14 patients (61%), 16 patients (67%) and 15 patients (79%) at WS1, WS2 and WS3. Age at radiotherapy and difference in mean dose (ΔDmean) to the residual brain were significant predictors of the choice of treatment modality, p < 0.001. Model coefficients were ßage = 0.07 per year (95% confidence interval [CI] = 0.05-0.09), and ßΔdose = -0.27 per Gy (95% CI=-0.36--0.18).

Conclusion:

Higher degree of agreement was reached. Age and ΔDmean to the residual brain significantly predicted the choice of radiation modality. We have developed a decision support model which may aid in the selection of patients with glioma grade 1-3 to PT.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Clin Transl Radiat Oncol Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Clin Transl Radiat Oncol Año: 2024 Tipo del documento: Article