Functional imaging modalities enable practitioners to identify functional lung regions. This
analysis evaluated the feasibility of nuclear medicine imaging to avoid doses to the …

Dendritic cells (DCs), a kind of specialized immune cells, play key roles in antitumor immune
response and promotion of innate and adaptive immune responses. Recently, many …

Recent functional lung imaging studies have presented evidence of an “indirect effect” on
perfusion damage, where regions that are unirradiated or lowly irradiated but that are …

Vessel segmentation in the lung is an ongoing challenge. While many methods have been
able to successfully identify vessels in normal, healthy, lungs, these methods struggle in the …

Purpose Deep learning model has shown the feasibility of providing spatial lung perfusion
information based on CT images. However, the performance of this method on lung cancer …

Purpose. To develop and evaluate the performance of a deep learning model to generate
synthetic pulmonary perfusion images from clinical 4DCT images for patients undergoing …

Objective. Functional lung avoidance (FLA) radiotherapy treatment aims to spare lung
regions identified as functional from imaging. Perfusion contributes to lung function and can …

Results Interobserver variability of PET contours was low for both OSEM and BSREM-TOF
reconstructions; intraobserver variability between reconstructions was slightly higher. ΔSUV …

Imaging biomarkers can assess disease progression or prognoses and are valuable tools to
help guide interventions. Particularly in lung imaging, biomarkers present an opportunity to …

Radiation therapy is an effective treatment modality for a variety of cancers. Despite several
advances in delivery techniques, its main drawback remains the deposition of dose in …