Ying Hou

TL;DR: In this article, the authors evaluated computed-tomography (CT) radiomic features for their capability to predict distant metastasis (DM) for lung adenocarcinoma patients.

TL;DR: Predictive radiomic features for pathological response are identified, although no conventional features were significantly predictive, which demonstrates that radiomics can provide valuable clinical information, and performed better than conventional imaging features.

TL;DR: Radiomic features have potential to be prognostic for some outcomes that conventional imaging metrics cannot predict in SBRT patients, as demonstrated by exploratory analysis of pre-treatment CT scans.

TL;DR: AIP images contained more information than FB images that were associated with disease recurrence in early stage NSCLC patients treated with SBRT, which suggests that AIP images may potentially be more optimal for the development of an imaging biomarker.

TL;DR: Frailty is associated with lower OS in older patients with early stage NSCLC treated with SBRT, yet frail patients survived a median 2.5years, and were more likely to die of causes unrelated to the primary lung cancer, suggesting S BRT should be considered even in Older patients deemed unfit for surgery.