Main Session
Sep 29
PQA 07 - Head and Neck Cancer, Lung Cancer/Thoracic Malignancies, and Nursing and Supportive Care

3587 - SABR to Scar: Clinical Predictors and Radiomic Signatures of Post-SABR Lung Fibrosis

03:45pm - 05:00pm ET
Poster Hall - Exhibit Hall A
Screen: 18
POSTER

Presenter(s)

Nicholas Peterson, MD - UCI Health Chao Family Comprehensive Cancer Center, Orange, CA

N. V. Peterson1, A. N. Munjal1, J. Park1, K. S. Hanubal1, A. C. Inda2, and J. P. Harris1; 1Department of Radiation Oncology, University of California - Irvine, Orange, CA, 2University of California, Irvine - Department of Radiation Oncology, Orange, CA

Purpose/Objective(s): Stereotactic ablative radiation (SABR) is an effective and increasingly used treatment for primary and metastatic lung tumors. Post-radiation fibrosis can mimic or obscure recurrent tumor on follow-up imaging, complicating surveillance and response assessment. Little is known about clinical factors that determine fibrosis severity after radiation. At our institution, a phase I trial combining dose-de-escalated SABR (12 Gy in 1 fraction) with pulsed electric field (PEF) ablation provided a low-dose cohort to better describe this relationship. Quantitative imaging may capture differences in intensity distribution and texture not apparent by visual review alone. We performed a radiomics-based analysis to differentiate residual tumor from fibrosis and assist with tumor response assessment.

Materials/Methods: We included a retrospective cohort of patients with primary lung tumors or lung metastases treated with SABR at our institution from 2020 to present, with a minimum of 6 months of follow-up. Regions of interest (ROIs) were contoured using MIM (v7.2.3). Using a lower range-lock threshold of -700 HU, fibrosis was contoured on follow-up scans within the irradiated lung volume by a radiation oncologist. Fibrosis volume was modeled on the log scale; BED was calculated using an a/ß of 10 (BED10). Radiomic analysis was performed using PyRadiomics (v3.1.0) and Python (v3.8). Statistical analysis was performed in RStudio (v4.5.2). Paired comparisons used Wilcoxon signed-rank tests with false discovery rate correction.

Results: A total of 68 tumors were included in the tumor-level analysis. BED10 ranged from 26.4 to 149.6, and fibrosis volume ranged from 4.0 to 175.9 cc. In univariate linear regression, BED10 (ß=0.01; p=0.021) and age (ß=0.02; p=0.004) were significantly associated with increased fibrosis volume. In multivariable linear regression adjusting for sex, tumor type, tumor centrality, and breath-hold technique, both BED10 and age remained significantly associated with increased fibrosis volume. This corresponds to a 10.5% increase in fibrosis volume per +10 Gy BED10 and a 22% increase per +10 years of age. Radiomic analysis demonstrated significant differences across multiple first-order and texture features. Residual GTV was consistently higher density (70th percentile HU, mean HU, median HU, and 10th percentile HU; p<0.001), while fibrosis demonstrated greater heterogeneity and more complex texture (higher IQR and entropy, and higher GLCM/GLSZM texture metrics; p<0.001).

Conclusion: Higher BED10 and older age were independently associated with larger post-radiation fibrosis volume, indicating a clinically meaningful dose–fibrosis relationship. Fibrosis demonstrated a distinct imaging phenotype compared with residual tumor in paired radiomics comparisons. These findings support incorporating quantitative imaging to improve post-treatment assessment and estimate recurrence risk in patients treated with lung SABR.