Metastatic non-small cell lung cancer (NSCLC) and brain edema: a topographical and clinicopathological investigation utilizing deep learning-based artificial intelligence (DLBAI)
Abstract Tumor-associated vasogenic brain edema is a well-known contributor of morbidity and mortality in patients with metastatic disease to the brain. It is widely accepted that brain metastases (BM) is associated with extensive edema and can cause increased symptomatology such as pain, neurologic deficit, and elevated intracranial pressure depending on extent and location. We present a proof-of-concept retrospective analysis utilizing DLBAI to segment and detect radiological and topographical patterns of peritumoral edema and assess for clinicopathological correlates in 84 patients with NSCLC and BM who underwent surgical resection and were not previously on steroids. We found that overall, tumors in all locations demonstrated a mean 10:1 edema to tumor ratio (ETR) and an occipital tumor location was associated with a significantly elevated ETR. Within our cohort there were no other factors that were significantly associated with ETR. This study demonstrates a proof-of-concept that DLBAI is an efficient and accurate method of radiographic analysis that can be applied to detect and potentially predict clinicopathological data and prognostic determinants. Clinically, we demonstrate that NSCLC is associated with significant peritumoral edema and that topographical factors may be associated with increased extent of edema.
An interdisciplinary consensus on the management of brain metastases in patients with renal cell carcinoma
Abstract Brain metastases are a challenging manifestation of renal cell carcinoma. We have a limited understanding of brain metastasis tumor and immune biology, drivers of resistance to systemic treatment, and their overall poor prognosis. Current data support a multimodal treatment strategy with radiation treatment and/or surgery. Nonetheless, the optimal approach for the management of brain metastases from renal cell carcinoma remains unclear. To improve patient care, the authors sought to standardize practical management strategies. They performed an unstructured literature review and elaborated on the current management strategies through an international group of experts from different disciplines assembled via the network of the International Kidney Cancer Coalition. Experts from different disciplines were administered a survey to answer questions related to current challenges and unmet patient needs. On the basis of the integrated approach of literature review and survey study results, the authors built algorithms for the management of single and multiple brain metastases in patients with renal cell carcinoma. The literature review, consensus statements, and algorithms presented in this report can serve as a framework guiding treatment decisions for patients. CA Cancer J Clin. 2022;72:454‐489.