Distant Metastasis Velocity as a Novel Prognostic Score for Overall Survival After Disease Progression Following Stereotactic Body Radiation Therapy for Oligometastatic Disease.


Journal

International journal of radiation oncology, biology, physics
ISSN: 1879-355X
Titre abrégé: Int J Radiat Oncol Biol Phys
Pays: United States
ID NLM: 7603616

Informations de publication

Date de publication:
01 12 2022
Historique:
received: 15 03 2022
revised: 06 06 2022
accepted: 09 06 2022
pubmed: 20 6 2022
medline: 22 11 2022
entrez: 19 6 2022
Statut: ppublish

Résumé

In patients with extracranial oligometastatic disease, distant failure (DF) after local ablative therapies is common. Prognostic scores to guide salvage treatment decision making are currently lacking. Analogous to brain metastasis velocity, we propose distant metastasis velocity (DMV) as a prognostic score for overall survival (OS) and widespread failure-free survival (WFFS) after DF following metastasis-directed stereotactic body radiation therapy (SBRT). Patients with ≤5 metastases from solid organ malignancies treated with SBRT to all lesions at our institution from 2014 to 2019 were screened, and patients who developed DF were included in this retrospective analysis. DMV was defined as metastases per month, determined at DF, and transformed into a 3-level categorical variable with cut points that minimized the log-rank P value for OS. Simple and multiple linear regression was used to predict DMV based on different patient and treatment variables. The association of DMV and other variables with OS was studied by univariable and multivariable Cox regression. Three hundred eighty-five patients were screened, of which 303 developed DF and were included. The median DMV was 0.7 metastases per month. Patients with <0.5, 0.5 to 1.5, and >1.5 metastases per month were classified as low, intermediate, and high DMV, and had a median OS of 37.1, 26.7, and 16.8 months, respectively (P < .0001). On multivariable analysis, DMV was a strong independent predictor of OS, with a hazard ratio of 0.31 for low (P < .001) compared with high DMV. Lower DMV was significantly associated with longer WFFS (P = .04). The cumulative metastases volume at baseline (regression coefficient β = 0.03, P = .04) and oligoprogressive/-persistent disease (β = 1.91, P = .10) predicted higher DMV. DMV is a novel metric strongly associated with OS and WFFS after DF following SBRT in patients with oligometastatic disease and should be evaluated for decision making about the optimal multimodality salvage treatment strategy. The prognostic value of DMV should be validated in prospective studies.

Identifiants

pubmed: 35718253
pii: S0360-3016(22)00609-5
doi: 10.1016/j.ijrobp.2022.06.064
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

871-882

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

Jonas Willmann (J)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Eugenia Vlaskou Badra (E)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Selma Adilovic (S)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Sebastian M Christ (SM)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Maiwand Ahmadsei (M)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Michael Mayinger (M)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Stephanie Tanadini-Lang (S)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Matthias Guckenberger (M)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Nicolaus Andratschke (N)

Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Electronic address: nicolaus.andratschke@usz.ch.

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