Stereotactic body radiation therapy for sarcoma pulmonary metastases.


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:
10 2023
Historique:
received: 06 04 2023
revised: 20 06 2023
accepted: 20 07 2023
medline: 15 9 2023
pubmed: 3 8 2023
entrez: 2 8 2023
Statut: ppublish

Résumé

Stereotactic body radiation therapy (SBRT) is standard for patients with inoperable early-stage NSCLC. We hypothesized that SBRT for sarcoma pulmonary metastases would achieve high rates of local control with acceptable toxicity and that patients with oligometastatic disease may achieve prolonged survival following SBRT. This retrospective review included consecutive patients at our institution treated with SBRT for sarcoma pulmonary metastases. Cumulative incidence of local failure (LF) was estimated using a competing risks framework. We identified 66 patients treated to 95 pulmonary metastases with SBRT. The median follow-up from the time of SBRT was 36 months (95% CI 34 - 53 months). The cumulative incidence of LF at 12 and 24 months was 3.1% (95% CI 0.9 - 10.6%) and 7.4% (95% CI 4.0% - 13.9%), respectively. The 12- and 24-month overall survival was 74% (95% CI 64 - 86%) and 49% (38 - 63%), respectively. Oligometastatic disease, intrathoracic only disease, and performance status were associated with improved survival on univariable analysis. Three patients had grade 2 pneumonitis, and one patient had grade 2 esophagitis. No patients had ≥ grade 3+ toxicities. To the best of our knowledge, this is the largest series of patients treated with SBRT for pulmonary sarcoma metastases. We observed that SBRT offers an effective alternative to surgical resection with excellent local control and low proportions of toxicity.

Sections du résumé

BACKGROUND/PURPOSE
Stereotactic body radiation therapy (SBRT) is standard for patients with inoperable early-stage NSCLC. We hypothesized that SBRT for sarcoma pulmonary metastases would achieve high rates of local control with acceptable toxicity and that patients with oligometastatic disease may achieve prolonged survival following SBRT.
MATERIALS/METHODS
This retrospective review included consecutive patients at our institution treated with SBRT for sarcoma pulmonary metastases. Cumulative incidence of local failure (LF) was estimated using a competing risks framework.
RESULTS
We identified 66 patients treated to 95 pulmonary metastases with SBRT. The median follow-up from the time of SBRT was 36 months (95% CI 34 - 53 months). The cumulative incidence of LF at 12 and 24 months was 3.1% (95% CI 0.9 - 10.6%) and 7.4% (95% CI 4.0% - 13.9%), respectively. The 12- and 24-month overall survival was 74% (95% CI 64 - 86%) and 49% (38 - 63%), respectively. Oligometastatic disease, intrathoracic only disease, and performance status were associated with improved survival on univariable analysis. Three patients had grade 2 pneumonitis, and one patient had grade 2 esophagitis. No patients had ≥ grade 3+ toxicities.
CONCLUSION
To the best of our knowledge, this is the largest series of patients treated with SBRT for pulmonary sarcoma metastases. We observed that SBRT offers an effective alternative to surgical resection with excellent local control and low proportions of toxicity.

Identifiants

pubmed: 37532104
pii: S0167-8140(23)67527-9
doi: 10.1016/j.radonc.2023.109824
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109824

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Emily S Lebow (ES)

Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.

Stephanie M Lobaugh (SM)

Department of Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States. Electronic address: rimnera@mskcc.org.

Zhigang Zhang (Z)

Department of Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.

Mark A Dickson (MA)

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.

Evan Rosenbaum (E)

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.

Sandra P D'Angelo (SP)

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.

Benjamin A Nacev (BA)

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.

Annemarie F Shepherd (AF)

Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.

Narek Shaverdian (N)

Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.

Suzanne Wolden (S)

Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.

Abraham J Wu (AJ)

Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.

Daphna Y Gelblum (DY)

Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.

Charles B Simone (CB)

Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.

Daniel R Gomez (DR)

Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.

Kaled Alektiar (K)

Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.

William D Tap (WD)

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.

Andreas Rimner (A)

Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States. Electronic address: rimnera@mskcc.org.

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Classifications MeSH