A retrospective evaluation of individual thigh muscle volume disparities based on hip fracture types in followed-up patients: an AI-based segmentation approach using UNETR.

Autor:	Kim HS; Department of Biomedical Research Institute, Inha University Hospital, Incheon, South Korea., Kim S; Department of Biomedical Research Institute, Inha University Hospital, Incheon, South Korea., Kim H; Department of Biomedical Research Institute, Inha University Hospital, Incheon, South Korea., Song SY; Department of Orthopaedic Surgery, Gyeongsang National University Hospital, Jinju, South Korea., Cha Y; Department of Orthopaedic Surgery, Daejeon Eulji Medical Center, Daejeon, South Korea., Kim JT; Department of Orthopaedic Surgery, Ajou University School of Medicine, Ajou Medical Center, Suwon, Republic of South Korea., Kim JW; Department of Orthopaedic Surgery, Nowon Eulji Medical Center, Seoul, South Korea., Ha YC; Department of Orthopaedic Surgery, Seoul Bumin Hospital, Seoul, Republic of South Korea., Yoo JI; Department of Orthopaedic Surgery, Inha University Hospital, Inha University College of Medicine, Incheon, Republic of South Korea.
Jazyk:	angličtina
Zdroj:	PeerJ [PeerJ] 2024 Aug 16; Vol. 12, pp. e17509. Date of Electronic Publication: 2024 Aug 16 (Print Publication: 2024).
DOI:	10.7717/peerj.17509
Abstrakt:	Background: Hip fractures are a common and debilitating condition, particularly among older adults. Loss of muscle mass and strength is a common consequence of hip fractures, which further contribute to functional decline and increased disability. Assessing changes in individual thigh muscles volume in follow-up patients can provide valuable insights into the quantitative recovery process and guide rehabilitation interventions. However, accurately measuring anatomical individual thigh muscle volume can be challenging due to various, labor intensive and time-consuming. Materials and Methods: This study aimed to evaluate differences in thigh muscle volume in followed-up hip fracture patients computed tomography (CT) scans using an AI based automatic muscle segmentation model. The study included a total of 18 patients at Gyeongsang National University, who had undergone surgical treatment for a hip fracture. We utilized the automatic segmentation algorithm which we have already developed using UNETR (U-net Transformer) architecture, performance dice score = 0.84, relative absolute volume difference 0.019 ± 0.017%. Results: The results revealed intertrochanteric fractures result in more significant muscle volume loss (females: -97.4 cm 3 , males: -178.2 cm 3 ) compared to femoral neck fractures (females: -83 cm 3 , males: -147.2 cm 3 ). Additionally, the study uncovered substantial disparities in the susceptibility to volume loss among specific thigh muscles, including the Vastus lateralis, Adductor longus and brevis, and Gluteus maximus, particularly in cases of intertrochanteric fractures. Conclusions: The use of an automatic muscle segmentation model based on deep learning algorithms enables efficient and accurate analysis of thigh muscle volume differences in followed up hip fracture patients. Our findings emphasize the significant muscle loss tied to sarcopenia, a critical condition among the elderly. Intertrochanteric fractures resulted in greater muscle volume deformities, especially in key muscle groups, across both genders. Notably, while most muscles exhibited volume reduction following hip fractures, the sartorius, vastus and gluteus groups demonstrated more significant disparities in individuals who sustained intertrochanteric fractures. This non-invasive approach provides valuable insights into the extent of muscle atrophy following hip fracture and can inform targeted rehabilitation interventions. Competing Interests: The authors declare no competing interests. (© 2024 Kim et al.)
Databáze:	MEDLINE
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