Preoperative visualization of congenital lung abnormalities: hybridizing artificial intelligence and virtual reality.

ABSTRACT:

Objectives

When surgical resection is indicated for a congenital lung abnormality (CLA), lobectomy is often preferred over segmentectomy, mostly because the latter is associated with more residual disease. Presumably, this occurs in children because sublobar surgery often does not adhere to anatomical borders (wedge resection instead of segmentectomy), thus increasing the risk of residual disease. This study investigated the feasibility of identifying eligible cases for anatomical segmentectomy by combining virtual reality (VR) and artificial intelligence (AI).

Methods

Semi-automated segmentation of bronchovascular structures and lesions were visualized with VR and AI technology. Two specialists independently evaluated via a questionnaire the informative value of regular com

SUBMITTER: Bakhuis W 

PROVIDER: S-EPMC10481780 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature