A Systematic Review Into the Radiologic Features Predicting Local Recurrence After Stereotactic Ablative Body Radiotherapy (SABR) in Patients With Non-Small Cell Lung Cancer (NSCLC).

PURPOSE: Posttreatment surveillance for local recurrence (LR) after stereotactic ablative body radiotherapy (SABR) can include both fluorodeoxyglucose-positron emission tomography (FDG-PET) and computed tomography (CT). Radiation-induced lung injury shares a similar appearance to LR after treatment, making the detection of LR on imaging difficult for clinicians. We aimed to summarize radiologic features of CT and FDG-PET predicting LR and to evaluate radiomics as another tool for detecting LR.

METHODS AND MATERIALS: We searched MEDLINE, EMBASE, and PubMed databases for published studies and Web of Science, Wiley Online, and Science Direct databases for conference abstracts that had patient populations with non-small cell lung cancer and reported post-SABR radiologic features of FDG-PET or CT and radiomics from either FDG-PET or CT. Studies for inclusion were independently reviewed by 2 authors.

RESULTS

Across 32 relevant studies, the incidence of LR was 13% (222/1726). On CT, certain gross radiologic appearances and kinetic features of changes in size, diameter, volume, or 3 consecutive rises in volume of masslike consolidation are suggestive of LR. **Particular regard should be made for the presence of any ≥3 high-risk features on CT or the individual high-risk features of enlarging opacity at ≥12 month's post-SABR as being highly suspicious of LR. On FDG-PET a relative reduction of <5% of maximum standardised uptake value (SUVmax) from baseline in the first 12 months or cut-offs of SUVmax >5 and SUVmean >3.44 after 12 months can indicate LR. There is limited evidence available to corroborate radiomic features suggestive of LR.

CONCLUSIONS

This research has identified common features of LR compared with radiation-induced lung injury, which may aid in early and accurate detection of LR post-SABR; further research is required to validate these findings.