Computer Assisted Nodule Analysis and Risk Yield Outcomes May be Associated with Recurrence after Stereotactic Body...

Area of Science:

• Oncology
• Radiotherapy
• Medical Imaging Analysis

Background:

• Non-small-cell lung cancer (NSCLC) patients undergoing stereotactic body radiation therapy (SBRT) lack noninvasive pretreatment risk assessment tools.
• Accurate pretreatment stratification is crucial for optimizing SBRT in early-stage NSCLC.

Purpose of the Study:

• To evaluate the efficacy of Computer Assisted Nodule Analysis and Risk Yield (CANARY) software in risk stratifying recurrence in clinical stage I NSCLC patients treated with SBRT.
• To determine if CANARY's Score Indicative of Lung Cancer Aggression (SILA) can predict recurrence-free survival (RFS).

Main Methods:

• Retrospective review of 85 NSCLC patients treated with SBRT (2016-2022).
• Pretreatment imaging data analyzed using CANARY software to assign SILA scores (good, intermediate, poor).
• Kaplan-Meier analysis and Log-rank tests used to assess RFS and compare outcomes between SILA groups.

Main Results:

• The overall 2-year RFS for the cohort was 68.5%.
• Patients were stratified into good (12.9%), intermediate (17.6%), and poor (70.6%) risk groups by CANARY SILA scores.
• Two-year RFS rates were 100% for good, 80.2% for intermediate, and 68.1% for poor risk groups, with worse RFS observed in intermediate and poor SILA groups (P = .09).

Conclusions:

• CANARY software demonstrates potential for noninvasive risk stratification of recurrence in early-stage NSCLC patients undergoing SBRT.
• SILA scores derived from CANARY may help identify patients at higher risk for recurrence, informing treatment decisions.