Cost-Effectiveness Analysis of Ultra-Hypofractionated Whole Breast Radiation Therapy Alone Versus Hormone Therapy Alone or Combined Treatment for Low-Risk ER-Positive Early Stage Breast Cancer in Women Aged 65 Years and Older.


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 07 2023
Historique:
received: 28 06 2022
revised: 28 11 2022
accepted: 17 12 2022
medline: 5 6 2023
pubmed: 1 1 2023
entrez: 31 12 2022
Statut: ppublish

Résumé

The optimal management of early-stage, low-risk, hormone-positive breast cancer in older women remains controversial. Recent trials have shown that 5-fraction ultrahypofractionated whole-breast irradiation (U-WBI) has similar outcomes to longer courses, reducing the cost and inconvenience of treatment. We performed a cost-utility analysis to compare U-WBI to hormone therapy alone or their combination. We simulated 3 different treatment approaches for women age 65 years or older with pT1-2N0 ER-positive invasive ductal carcinoma treated with lumpectomy with negative margins using a Markov microsimulation model. The strategies were U-WBI performed with a 3-dimensional conformal technique over 5 fractions without a boost ("radiation therapy [RT] alone"), adjuvant hormone therapy (anastrozole for 5 years) without RT ("aromatase-inhibitor [AI] alone"), or the combination of the 2. The combination strategy was calibrated to match trial results, and the relative effectiveness of the RT alone and AI alone strategies were inferred from previous randomized trials. The primary endpoint was the cost-effectiveness of the 3 strategies over a lifetime horizon as measured by the incremental cost-effectiveness ratio (ICER), with a value of $100,000/quality-adjusted life-year deemed "cost-effective." The model results compared with the prespecified target outcomes. On average, RT alone was the least expensive strategy ($14,775), with AI alone slightly more ($14,998), and combination therapy the costliest ($19,802). RT alone dominated AI alone (the incremental cost-effectiveness ratio [ICER] -$5089). Combination therapy, compared with RT alone, was slightly more expensive than our definition of cost-effective (ICER $113,468) but was cost-effective compared with AI alone (ICER $54,451). Probabilistic sensitivity analysis demonstrated RT alone to be cost-effective in 50% of trials, with combination therapy in 36% and AI alone in 14%. U-WBI alone appears the more cost-effective de-escalation strategy for these low-risk patients, compared with AI alone. Combining U-WBI and AI appears more costly but may be preferred by some patients.

Identifiants

pubmed: 36586492
pii: S0360-3016(22)03678-1
doi: 10.1016/j.ijrobp.2022.12.028
pii:
doi:

Substances chimiques

Anastrozole 2Z07MYW1AZ
Aromatase Inhibitors 0
Hormones 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

617-626

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

Matthew C Ward (MC)

Levine Cancer Institute, Atrium Health, Charlotte, North Carolina; Southeast Radiation Oncology Group, Charlotte, North Carolina.

Abram Recht (A)

Beth Israel Deaconess Medical Center, Boston, Massachusetts.

Frank Vicini (F)

21st Century Oncology, Farmington Hills, Michigan.

Zahraa Al-Hilli (Z)

Department of Breast Surgery, Cleveland Clinic, Cleveland, Ohio.

Wafa Asha (W)

Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio.

Manjeet Chadha (M)

Ichan School of Medicine at Mt. Sinai, New York, New York.

Abel Abraham (A)

Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio.

Nikhil Thaker (N)

Arizona Oncology, Tucson, Arizona.

Atif J Khan (AJ)

Memorial Sloan Kettering Cancer Center, New York, New York.

Martin Keisch (M)

Cancer HealthCare Associates, Miami, Florida.

Chirag Shah (C)

Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio. Electronic address: shahc4@ccf.org.

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