Muscle and adipose tissue segmentations at the third cervical vertebral level in patients with head and neck cancer.

ABSTRACT: The accurate determination of sarcopenia is critical for disease management in patients with head and neck cancer (HNC). Quantitative determination of sarcopenia is currently dependent on manually-generated segmentations of skeletal muscle derived from computed tomography (CT) cross-sectional imaging. This has prompted the increasing utilization of machine learning models for automated sarcopenia determination. However, extant datasets currently do not provide the necessary manually-generated skeletal muscle segmentations at the C3 vertebral level needed for building these models. In this data descriptor, a set of 394 HNC patients were selected from The Cancer Imaging Archive, and their skeletal muscle and adipose tissue was manually segmented at the C3 vertebral level using sliceOmatic. S

SUBMITTER: Wahid KA 

PROVIDER: S-EPMC9346108 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature