Deep learning-based lumbosacral reconstruction for difficulty prediction of percutaneous endoscopic transforaminal discectomy at L5/S1 level: A retrospective cohort …

G Fan, H Liu, D Wang, C Feng, Y Li, B Yin… - … Journal of Surgery, 2020 - journals.lww.com
Background Deep learning has been validated as a promising technique for automatic
segmentation and rapid three-dimensional (3D) reconstruction of lumbosacral structures on …

[PDF][PDF] Three-dimensional lumbosacral reconstruction by an artificial intelligence-based automated MR image segmentation for selecting the approach of …

Z Zhu, E Liu, Z Su, W Chen, Z Liu, T Chen… - Pain …, 2024 - painphysicianjournal.com
Background: Assessing the 3-dimensional (3D) relationship between critical anatomical
structures and the surgical channel can help select percutaneous endoscopic lumbar …

Artificial intelligence comparison of the radiologist report with endoscopic predictors of successful transforaminal decompression for painful conditions of the lumber …

KU Lewandrowski, N Muraleedharan… - International journal of …, 2020 - ijssurgery.com
Background: Identifying pain generators in multilevel lumbar degenerative disc disease is
not trivial but is crucial for lasting symptom relief with the targeted endoscopic spinal …

Deep learning–based automatic segmentation of lumbosacral nerves on CT for spinal Intervention: a translational Study

G Fan, H Liu, Z Wu, Y Li, C Feng… - American Journal …, 2019 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: 3D reconstruction of a targeted area (“safe” triangle and
Kambin triangle) may benefit the viability assessment of transforaminal epidural steroid …

[PDF][PDF] Computerized characterization of spinal structures on MRI and clinical significance of 3D reconstruction of lumbosacral intervertebral foramen

Z Liu, Z Su, M Wang, T Chen, Z Cui, X Chen… - Pain …, 2022 - painphysicianjournal.com
Background: Segmentation of spinal structures is important in medical imaging analysis,
which facilitates surgeons to plan a preoperative trajectory for the transforaminal approach …

Automated Magnetic Resonance Image Segmentation of Spinal Structures at the L4‐5 Level with Deep Learning: 3D Reconstruction of Lumbar Intervertebral …

T Chen, Z Su, Z Liu, M Wang, Z Cui, L Zhao… - Orthopaedic …, 2022 - Wiley Online Library
Objective 3D reconstruction of lumbar intervertebral foramen (LIVF) has been beneficial in
evaluating surgical trajectory. Still, the current methods of reconstructing the 3D LIVF model …

Nerve recognition in percutaneous transforaminal endoscopic discectomy using convolutional neural network

P Cui, T Shu, J Lei, W Chen - Medical Physics, 2021 - Wiley Online Library
Purpose Percutaneous transforaminal endoscopic discectomy (PTED) is one of the most
common minimally invasive surgery methods used in clinic in recent years. In this study, we …

Deep learning-based preoperative predictive analytics for patient-reported outcomes following lumbar discectomy: feasibility of center-specific modeling

VE Staartjes, MP de Wispelaere, WP Vandertop… - The Spine Journal, 2019 - Elsevier
Abstract Background Context There is considerable variability in patient-reported outcome
measures following surgery for lumbar disc herniation. Individualized prediction tools that …

Machine learning predicts recurrent lumbar disc herniation following percutaneous endoscopic lumbar discectomy

GR Ren, L Liu, P Zhang, ZY Xie, PY Wang… - Global Spine …, 2024 - journals.sagepub.com
Study Design Retrospective study. Objectives To develop machine learning (ML) models to
predict recurrent lumbar disc herniation (rLDH) following percutaneous endoscopic lumbar …

[HTML][HTML] TELD with limited foraminoplasty has potential biomechanical advantages over TELD with large annuloplasty: an in-silico study

J Li, C Xu, X Zhang, Z Xi, M Liu, Z Fang, N Wang… - BMC musculoskeletal …, 2021 - Springer
Background Facetectomy, an important procedure in the in–out and out–in techniques of
transforaminal endoscopic lumbar discectomy (TELD), is related to the deterioration of the …