Estimation of the α/β ratio of non-small cell lung cancer treated with stereotactic body radiotherapy.


Journal

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
ISSN: 1879-0887
Titre abrégé: Radiother Oncol
Pays: Ireland
ID NLM: 8407192

Informations de publication

Date de publication:
01 2020
Historique:
received: 03 04 2019
revised: 11 06 2019
accepted: 04 07 2019
pubmed: 23 8 2019
medline: 13 8 2020
entrez: 22 8 2019
Statut: ppublish

Résumé

High-dose hypofractionated radiotherapy should theoretically result in a deviation from the typical linear-quadratic shape of the cell survival curve beyond a certain threshold dose, yet no evidence for this hypothesis has so far been found in clinical data of stereotactic body radiotherapy treatment (SBRT) for early-stage non-small cell lung cancer (NSCLC). A pragmatic explanation is a larger α/β ratio than the conventionally assumed 10 Gy. We here attempted an estimation of the α/β ratio for NSCLC treated with SBRT using individual patient data. We combined two large retrospective datasets, yielding 1294 SBRTs (≤10 fractions) of early stage NSCLC. Cox proportional hazards regression, a logistic tumor control probability model and a biologically motivated Bayesian cure rate model were used to estimate the α/β ratio based on the observed number of local recurrences and accounting for tumor size. A total of 109 local progressions were observed after a median of 17.7 months (range 0.6-76.3 months). Cox regression, logistic regression of 3 year tumor control probability and the cure rate model yielded best-fit estimates of α/β = 12.8 Gy, 14.9 Gy and 12-16 Gy (depending on the prior for α/β), respectively, although with large uncertainties that did not rule out the conventional α/β = 10 Gy. Clinicians can continue to use the simple LQ formalism to compare different SBRT treatment schedules for NSCLC. While α/β = 10 Gy is not ruled out by our data, larger values in the range 12-16 Gy are more probable, consistent with recent meta-regression analyses.

Sections du résumé

BACKGROUND
High-dose hypofractionated radiotherapy should theoretically result in a deviation from the typical linear-quadratic shape of the cell survival curve beyond a certain threshold dose, yet no evidence for this hypothesis has so far been found in clinical data of stereotactic body radiotherapy treatment (SBRT) for early-stage non-small cell lung cancer (NSCLC). A pragmatic explanation is a larger α/β ratio than the conventionally assumed 10 Gy. We here attempted an estimation of the α/β ratio for NSCLC treated with SBRT using individual patient data.
MATERIALS AND METHODS
We combined two large retrospective datasets, yielding 1294 SBRTs (≤10 fractions) of early stage NSCLC. Cox proportional hazards regression, a logistic tumor control probability model and a biologically motivated Bayesian cure rate model were used to estimate the α/β ratio based on the observed number of local recurrences and accounting for tumor size.
RESULTS
A total of 109 local progressions were observed after a median of 17.7 months (range 0.6-76.3 months). Cox regression, logistic regression of 3 year tumor control probability and the cure rate model yielded best-fit estimates of α/β = 12.8 Gy, 14.9 Gy and 12-16 Gy (depending on the prior for α/β), respectively, although with large uncertainties that did not rule out the conventional α/β = 10 Gy.
CONCLUSIONS
Clinicians can continue to use the simple LQ formalism to compare different SBRT treatment schedules for NSCLC. While α/β = 10 Gy is not ruled out by our data, larger values in the range 12-16 Gy are more probable, consistent with recent meta-regression analyses.

Identifiants

pubmed: 31431371
pii: S0167-8140(19)32998-6
doi: 10.1016/j.radonc.2019.07.008
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

210-216

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Rainer J Klement (RJ)

Department of Radiotherapy and Radiation Oncology, Leopoldina Hospital Schweinfurt, Germany. Electronic address: rainer_klement@gmx.de.

Jan-Jakob Sonke (JJ)

Department of Radiation Oncology, The Netherland Cancer Institute, Amsterdam, The Netherlands.

Michael Allgäuer (M)

Department of Radiotherapy, Barmherzige Brüder Regensburg, Germany.

Nicolaus Andratschke (N)

Department of Radiation Oncology, University Hospital Zurich, Switzerland.

Steffen Appold (S)

Department of Radiation Oncology, Technische Universität Dresden, Germany.

José Belderbos (J)

Department of Radiation Oncology, The Netherland Cancer Institute, Amsterdam, The Netherlands.

Claus Belka (C)

Department of Radiation Oncology, University Hospital of Ludwig-Maximilians-University Munich, Germany.

Karin Dieckmann (K)

Department of Radiotherapy, Medical University of Vienna, Austria.

Hans T Eich (HT)

Department of Radiotherapy, University Hospital Münster, Germany.

Michael Flentje (M)

Department of Radiotherapy and Radiation Oncology, University Hospital Wuerzburg, Germany.

Inga Grills (I)

Department of Radiation Oncology, William Beaumont Hospital, Royal Oak, USA.

Michael Eble (M)

Department of Radiation Oncology, RWTH Aachen University, Germany.

Andrew Hope (A)

Department of Radiation Oncology, University of Toronto and Princess Margaret Cancer Center, Canada.

Anca L Grosu (AL)

Department of Radiation Oncology, University Hospital Freiburg, Germany.

Sabine Semrau (S)

Department of Radiation Oncology, Friedrich-Alexander University Erlangen-Nuremberg, Germany.

Reinhart A Sweeney (RA)

Department of Radiotherapy and Radiation Oncology, Leopoldina Hospital Schweinfurt, Germany.

Juliane Hörner-Rieber (J)

Department of Radiation Oncology, University Hospital Heidelberg, Germany.

Maria Werner-Wasik (M)

Department of Radiation Oncology, Thomas Jefferson University Hospital, Philadelphia, USA.

Rita Engenhart-Cabillic (R)

Department of Radiotherapy and Radiation Oncology, Phillips-University Marburg, Germany.

Hong Ye (H)

Department of Radiation Oncology, William Beaumont Hospital, Royal Oak, USA.

Matthias Guckenberger (M)

Department of Radiation Oncology, University Hospital Zurich, Switzerland.

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Classifications MeSH