Evidence map›Paper›PMID 42287375›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2026

Automated lumbar muscles segmentation with segment anything model for adult degenerative scoliosis.

Siming Xian, Lei Yuan, Meng Zhang, Zekun Li, Jiutian Huang, Miao Yu, Weishi Li

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Article in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Siming Xian *Peking University Third Hospital, No. 49, Huayuanbei Road, Haidian District, 100191, Beijing, China.
Lei Yuan *Peking University Third Hospital, No. 49, Huayuanbei Road, Haidian District, 100191, Beijing, China.
Meng ZhangPeking University Third Hospital, No. 49, Huayuanbei Road, Haidian District, 100191, Beijing, China.
Zekun LiPeking University Third Hospital, No. 49, Huayuanbei Road, Haidian District, 100191, Beijing, China.
Jiutian HuangPeking University Third Hospital, No. 49, Huayuanbei Road, Haidian District, 100191, Beijing, China.
Miao YuPeking University Third Hospital, No. 49, Huayuanbei Road, Haidian District, 100191, Beijing, China. miltonyupku@163.com.
Weishi LiPeking University Third Hospital, No. 49, Huayuanbei Road, Haidian District, 100191, Beijing, China.

Funding

Beijing Science Fund Projects L232127Key Clinical Projects of Peking University Third Hospital BYSYZD2022028National Natural Science Foundation of China 82502980
6 · The paper itself

Abstract

purposeThis study aims to develop an automatic lumbar muscles segmentation and processing tool based on the Segment Anything Model (SAM), and to explore the association between lumbar muscles degeneration and coronal parameters in patients with adult degenerative scoliosis (ADS).

methodsFifty-six ADS patients were included. Lumbar muscles (PM: psoas major, MF: multifidus, ES: erector spinae) cross-sectional area (CSA) and fatty infiltration (FI) at L3-L4 were measured via direct, ImageJ-based, and SAM-based (Spyder) methods. We assessed measurement consistency and time efficiency across methods. Correlations between muscle degeneration and ADS coronal parameters were analyzed using Spyder-derived data.

resultsCSA measurement showed acceptable consistency (ICC 0.627-0.881, P < 0.001), FI poor (ICC 0.252-0.442, P < 0.001). Spyder was > 10-fold faster than direct measurement and ~ 2-fold faster than ImageJ (P < 0.001). ADS patients had larger concave-side CSA (PM, ES) and higher concave MF FI (P < 0.05). Lumbar curve angle correlated positively with concave PM FI (r = 0.273, P = 0.042) and negatively with convex MF CSA (r=-0.406, P = 0.002).

conclusionThe SAM-based automated lumbar muscles tool "Spyder" enables accurate, efficient automated lumbar muscles segmentation in ADS, offering an efficient ADS research and diagnosis tool. Asymmetric lumbar muscles changes may correlate with coronal deformity.

Indexed as

Adult degenerative scoliosisAutomatic segmentationLumbar musclesSegment anything model

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.