Evidence map›Paper›PMID 40745956›Full record

ArticleOrthopaedic surgery2025

Quantifying the Trajectory of Percutaneous Endoscopic Lumbar Discectomy in 3D Lumbar Models Based on Automated MR Image Segmentation-A Cross-Sectional Study.

Zhihai Su, Yunfei Wang, Chengjie Huang, Qingqing He, Junjie Lu, Zheng Liu, Yiou Zhang, Qiaochu Zhao, YuChen Zhang, Jianan Cai and 5 more

Abstract read
In one paragraph

Article in Orthopaedic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Zhihai SuDepartment of Spinal Surgery, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Yunfei WangDepartment of Spinal Surgery, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Chengjie HuangDepartment of Spinal Surgery, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Qingqing HeDepartment of Nephrology, Second Affiliated Hospital of Chengdu Medical College, Chengdu, China.
Junjie LuDepartment of Spinal Surgery, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Zheng LiuDepartment of Orthopedics, Southern University of Science and Technology Hospital, Shenzhen, China.
Yiou ZhangZhongshan Medical College of Sun Yat-sen University, Guangzhou, China.
Qiaochu ZhaoZhongshan Medical College of Sun Yat-sen University, Guangzhou, China.
YuChen ZhangZhongshan Medical College of Sun Yat-sen University, Guangzhou, China.
Jianan CaiZhongshan Medical College of Sun Yat-sen University, Guangzhou, China.
Shumao PangSchool of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China.
Zhen YuanFaculty of Health Sciences, Centre for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Macau, China.
Ziyang ChenDepartment of Spinal Surgery, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Tao ChenDepartment of Spinal Surgery, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Hai LuDepartment of Spinal Surgery, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.ORCID https://orcid.org/0000-0002-4212-3282

Funding

Guangdong Climbing Plan pdjh2023b0011Joint Funding Scheme 2022 for Scientific Research Projects (FDCT-GDST Projects) by the Science and Technology Development Fund of Macau and the Department of Science and Technology of Guangdong Province 2022A0505020019 and 0056/2021/AGJMacau Young Scholars Programme AM2023022National Natural Sciences Foundation of China 62371146R&D project of Pazhou Lab (Huangpu) 2023K0604
6 · The paper itself

Abstract

objectiveCreating a 3D lumbar model and planning a personalized puncture trajectory has an advantage in establishing the working channel for percutaneous endoscopic lumbar discectomy (PELD). However, existing 3D lumbar models, which seldom include lumbar nerves and dural sac reconstructions, primarily depend on CT images for preoperative trajectory planning. Therefore, our study aims to further investigate the relationship between different virtual working channels and the 3D lumbar model, which includes automated MR image segmentation of lumbar bone, nerves, and dural sac at the L4/L5 level.

methodsPreoperative lumbar MR images of 50 patients with L4/L5 lumbar disc herniation were collected from a teaching hospital between March 2020 and July 2020. Automated MR image segmentation was initially used to create a 3D model of the lumbar spine, including the L4 vertebrae, L5 vertebrae, intervertebral disc, L4 nerves, dural sac, and skin. Thirty were then randomly chosen from the segmentation results to clarify the relationship between various virtual working channels and the lumbar 3D model. A bivariate Spearman's rank correlation analysis was used in this study.

resultsPreoperative MR images of 50 patients (34 males, mean age 45.6 ± 6 years) were used to train and validate the automated segmentation model, which had mean Dice scores of 0.906, 0.891, 0.896, 0.695, 0.892, and 0.892 for the L4 vertebrae, L5 vertebrae, intervertebral disc, L4 nerves, dural sac, and skin, respectively. With an increase in the coronal plane angle (CPA), there was a reduction in the intersection volume involving the L4 nerves and atypical structures. Conversely, the intersection volume encompassing the dural sac, L4 inferior articular process, and L5 superior articular process increased; the total intersection volume showed a fluctuating pattern: it initially decreased, followed by an increase, and then decreased once more. As the cross-section angle (CSA) increased, there was a rise in the intersection volume of both the L4 nerves and the dural sac; the intersection volume involving the L4 inferior articular process grew while that of the L5 superior articular process diminished; the overall intersection volume and the intersection volume of atypical structures initially decreased, followed by an increase.

conclusionIn terms of regularity, the optimal angles for L4/L5 PELD are a CSA of 15° and a CPA of 15°-20°, minimizing harm to the vertebral bones, facet joint, spinal nerves, and dural sac. Additionally, our 3D preoperative planning method could enhance puncture trajectories for individual patients, potentially advancing surgical navigation, robots, and artificial intelligence in PELD procedures.

Indexed as

Diskectomy, PercutaneousEndoscopyImaging, Three-DimensionalIntervertebral Disc DisplacementLumbar VertebraeMagnetic Resonance ImagingAdultCross-Sectional StudiesFemaleHumansMaleMiddle Aged3D lumbar modelartificial intelligenceautomated magnetic resonancesegmentationpercutaneous endoscopic lumbar discectomytrajectory planning

Identifiers

PMID40745956
PMCPMC12404874

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