Stereotactic versus Conventional Radiotherapy in Medically Inoperable Stage I Non-small Cell Lung Cancer: A Bayesian Re-analysis of the LUSTRE Randomized Trial

<h2>Abstract</h2><h3>Introduction</h3> <b>:</b> The results of the LUSTRE trial investigating stereotactic body radiotherapy in early-stage non-small cell lung cancer were inconclusive. A Bayesian analysis could potentially address this by integrating prior knowledge. <h3>Methods</h3> <b>:</b> The LUSTRE trial was a randomized-controlled superiority trial conducted from 2014 to 2020. Patients with medically inoperable Stage 1 non-small cell lung cancer were randomized 2:1 to stereotactic radiotherapy (intervention) or conventional radiotherapy (control). The primary outcome was time-to-local control, defined as the period from randomization to absence of a primary tumor or marginal failure during follow-up. Primary analyses used Bayesian multivariable Cox regression, adjusting for strata (tumor size, tumor location, and clinical center). A neutral prior distribution was used for primary analysis, with optimistic (obtained from meta-analyses of two previous trials) and pessimistic prior distributions/knowledge for sensitivity analyses. <h3>Results</h3> <b>:</b> Among 233 patients, 154 received stereotactic radiotherapy, and 79 received conventional radiotherapy. Using a non-informative neutral prior distribution, there was a 91% probability that the posterior adjusted hazard ratio (aHR) for local control with stereotactic radiotherapy was less than 1 (posterior aHR: 0.63, 95% credible interval: 0.32, 1.25). Incorporating the optimistic prior distribution, the posterior aHR was 0.62 (95% credible interval: 0.37, 1.02), indicating a 97% probability of benefit. Under the pessimistic prior distribution, the posterior aHR was 0.97 (95% credible interval: 0.71, 1.34), suggesting a 57% probability of benefit. <h3>Conclusions</h3> <b>:</b> Post-hoc Bayesian re-analyses provided additional insight into the posterior probability of local control benefit with stereotactic radiotherapy. <h3>MicroAbstract</h3> A post-hoc Bayesian re-analysis of the inconclusive LUSTRE trial examined stereotactic body radiotherapy versus conventional radiotherapy in 233 patients with medically inoperable Stage 1 non-small cell lung cancer. Using non-informative priors, there was a 91% probability that stereotactic radiotherapy improved local control (posterior adjusted hazard ratio: 0.63, 95% credible interval: 0.32–1.25), providing additional probabilistic insight beyond the original frequentist analysis. <h3>LUSTRE trial registry ID</h3> NCT01968941 (date of registration: Oct.21, 2013)

Authors

Institutions

Publication Details

Journal
Clinical Lung Cancer
Published
2026-03-01
DOI
https://doi.org/10.1016/j.cllc.2026.03.008
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stereotactic versus Conventional Radiotherapy in Medically Inoperable Stage I Non-small Cell Lung Cancer: A Bayesian Re-analysis of the LUSTRE Randomized Trial

Anand Swaminath, Mark N. Levine, E. Donovan, Timothy Joseph Whelan et al.
Clinical Lung Cancer
Lung Cancer Diagnosis and Treatment
article

Stereotactic versus Conventional Radiotherapy in Medically Inoperable Stage I Non-small Cell Lung Cancer: A Bayesian Re-analysis of the LUSTRE Randomized Trial

Anand Swaminath, Mark N. Levine, E. Donovan, Timothy Joseph Whelan, Sameer Parpia, Yanchen Wang
article en

Abstract

<h2>Abstract</h2><h3>Introduction</h3> <b>:</b> The results of the LUSTRE trial investigating stereotactic body radiotherapy in early-stage non-small cell lung cancer were inconclusive. A Bayesian analysis could potentially address this by integrating prior knowledge. <h3>Methods</h3> <b>:</b> The LUSTRE trial was a randomized-controlled superiority trial conducted from 2014 to 2020. Patients with medically inoperable Stage 1 non-small cell lung cancer were randomized 2:1 to stereotactic radiotherapy (intervention) or conventional radiotherapy (control). The primary outcome was time-to-local control, defined as the period from randomization to absence of a primary tumor or marginal failure during follow-up. Primary analyses used Bayesian multivariable Cox regression, adjusting for strata (tumor size, tumor location, and clinical center). A neutral prior distribution was used for primary analysis, with optimistic (obtained from meta-analyses of two previous trials) and pessimistic prior distributions/knowledge for sensitivity analyses. <h3>Results</h3> <b>:</b> Among 233 patients, 154 received stereotactic radiotherapy, and 79 received conventional radiotherapy. Using a non-informative neutral prior distribution, there was a 91% probability that the posterior adjusted hazard ratio (aHR) for local control with stereotactic radiotherapy was less than 1 (posterior aHR: 0.63, 95% credible interval: 0.32, 1.25). Incorporating the optimistic prior distribution, the posterior aHR was 0.62 (95% credible interval: 0.37, 1.02), indicating a 97% probability of benefit. Under the pessimistic prior distribution, the posterior aHR was 0.97 (95% credible interval: 0.71, 1.34), suggesting a 57% probability of benefit. <h3>Conclusions</h3> <b>:</b> Post-hoc Bayesian re-analyses provided additional insight into the posterior probability of local control benefit with stereotactic radiotherapy. <h3>MicroAbstract</h3> A post-hoc Bayesian re-analysis of the inconclusive LUSTRE trial examined stereotactic body radiotherapy versus conventional radiotherapy in 233 patients with medically inoperable Stage 1 non-small cell lung cancer. Using non-informative priors, there was a 91% probability that stereotactic radiotherapy improved local control (posterior adjusted hazard ratio: 0.63, 95% credible interval: 0.32–1.25), providing additional probabilistic insight beyond the original frequentist analysis. <h3>LUSTRE trial registry ID</h3> NCT01968941 (date of registration: Oct.21, 2013)

Clinical Lung Cancer
Juravinski Cancer Centre (CA), McMaster University (CA)
Good health and well-being
Openalex Percentile: Top 8%
Lung Cancer Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.