[HTML][HTML] Radiomic modeling of bone density and rib fracture risk after stereotactic body radiation therapy for early-stage non-small cell lung cancer
NR Rydzewski, P Yadav, HB Musunuru… - Advances in Radiation …, 2022 - Elsevier
Advances in Radiation Oncology, 2022•Elsevier
Purpose Our purpose was to determine whether bone density and bone-derived radiomic
metrics in combination with dosimetric variables could improve risk stratification of rib
fractures after stereotactic body radiation therapy (SBRT) for early-stage non-small cell lung
cancer (NSCLC). Methods and Materials A retrospective analysis was conducted of patients
with early-stage NSCLC treated with SBRT. Dosimetric data and rib radiomic data extracted
using PyRadiomics were used for the analysis. A subset of patients had bone density scans …
metrics in combination with dosimetric variables could improve risk stratification of rib
fractures after stereotactic body radiation therapy (SBRT) for early-stage non-small cell lung
cancer (NSCLC). Methods and Materials A retrospective analysis was conducted of patients
with early-stage NSCLC treated with SBRT. Dosimetric data and rib radiomic data extracted
using PyRadiomics were used for the analysis. A subset of patients had bone density scans …
Purpose
Our purpose was to determine whether bone density and bone-derived radiomic metrics in combination with dosimetric variables could improve risk stratification of rib fractures after stereotactic body radiation therapy (SBRT) for early-stage non-small cell lung cancer (NSCLC).
Methods and Materials
A retrospective analysis was conducted of patients with early-stage NSCLC treated with SBRT. Dosimetric data and rib radiomic data extracted using PyRadiomics were used for the analysis. A subset of patients had bone density scans that were used to create a predicted bone density score for all patients. A 10-fold cross validated approach with 10 resamples was used to find the top univariate logistic models and elastic net regression models that predicted for rib fracture.
Results
A total of 192 treatment plans were included in the study with a rib fracture rate of 16.1%. A predicted bone density score was created from a multivariate model with vertebral body Hounsfield units and patient weight, with an R-squared of 0.518 compared with patient dual-energy x-ray absorptiometry T-scores. When analyzing all patients, a low predicted bone density score approached significance for increased risk of rib fracture (P = .07). On competing risk analysis, when stratifying patients based on chest wall V30 Gy and bone density score, those with a V30 Gy ≥30 cc and a low bone density score had a significantly higher risk of rib fracture compared with all other patients (P < .001), with a predicted 2-year risk of rib fracture of 28.6% (95% confidence interval, 17.2%-41.1%) and 4.9% (95% confidence interval, 2.3%-9.0%), respectively. Dosimetric variables were the primary drivers of fracture risk. A multivariate elastic net regression model including all dosimetric variables was the best predictor of rib fracture (area under the curve [AUC], 0.864). Bone density variables (AUC, 0.618) and radiomic variables (AUC, 0.617) have better predictive power than clinical variables that exclude bone density (AUC, 0.538).
Conclusion
Radiomic features, including a bone density score that includes vertebral body Hounsfield units and radiomic signatures from the ribs, can be used to stratify risk of rib fracture after SBRT for NSCLC.
Elsevier
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