A Systematic Review of Pneumonitis Following Treatment with Immune Checkpoint Inhibitors and Radiotherapy.

Immune checkpoint inhibitors (ICIs) are increasingly included in management guidelines for various types of cancer. However, immune-related adverse events (irAEs) are an inevitable consequence of these therapies. Some of these side effects, such as pneumonitis, can be particularly serious. Additionally, the combination of ICIs with radiotherapy (RT) may further increase the risk of pneumonitis. The aim of this systematic review is to examine all available studies on pneumonitis following the use of ICIs and RT to assess its appearance and severity. We systematically searched four different databases (PubMed, Scopus, Cochrane, and DOAJ) to identify all relevant studies within our scope. Additionally, we reviewed the references of the studies we found, as well as those of other systematic reviews and meta-analyses. We assessed the risk of bias using the Cochrane Risk of Bias Tool version 2 for randomized controlled trials and the RTI Risk of Bias Item Bank for non-randomized trials. Finally, we extracted relevant data into an Excel file and presented them in tables throughout this study. A total of 58 articles met our inclusion criteria, comprising 4889 patients across multiple studies and nine case reports. Due to significant heterogeneity in study methodologies and data reporting, a cumulative statistical analysis was not performed. The included studies were published between 2017 and 2025. The incidence of pneumonitis varied, with retrospective studies showing higher rates compared to randomized and non-randomized controlled trials. Case reports described a range of pneumonitis presentations, treatments, and outcomes, with corticosteroids being the primary treatment. The incidence of pneumonitis varied, with retrospective studies showing the highest rates compared to other study designs. Early detection and management of pneumonitis in patients receiving RT and/or ICIs are crucial for improving outcomes. Identifying high-risk patients through predictive models, radiomics, and biomarkers may help tailor treatment strategies and minimize toxicity. Further research is needed to establish the most appropriate diagnostic criteria, optimize management approaches, and refine advanced imaging and biomarker-based risk stratification to improve patient care. Interdisciplinary collaboration is essential for reducing the risk of pneumonitis and improving patient outcomes.