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Modern Thoraco-Lumbar Implants for Spinal Fusion

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Cover of 'Modern Thoraco-Lumbar Implants for Spinal Fusion'

Table of Contents

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    Book Overview
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    Chapter 1 The Role of Neuronavigation in Lumbar Spine Surgery
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    Chapter 2 Imaging in Lumbar Spine Surgery: The Role of Intraoperative CT Scan
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    Chapter 3 The Robotic Arm Guidance Systems: Principles and Indications
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    Chapter 4 The Robotic Arm Guidance System: Applications and Limits
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    Chapter 5 3D Printed Tubular Guides for Pedicle Screw Fixation
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    Chapter 6 New Techniques and MIS: The XLIF Technique
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    Chapter 7 New Implants and Techniques in Minimally Invasive Spine Surgery: True Percutaneous Transforaminal Lumbar Interbody Fusion (pTLIF) with the Posterolateral Transforaminal Endoscopic Approach
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    Chapter 8 New Techniques and MIS: The Minimally Invasive TLIF
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    Chapter 9 New Techniques and MIS: The Awake TLIF
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    Chapter 10 New Techniques and MIS: The Cortical Bone Trajectory Screws—Indications and Limits
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    Chapter 11 New Techniques and MIS: The Interspinous Fixation Devices
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    Chapter 12 New Techniques and MIS: The Interfacet Fixation with Facet Wedge Device
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    Chapter 13 Expandable Cages and Minimal Invasive Approaches to the Thoracolumbar Spine for Anterior Column Reconstruction
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    Chapter 14 New Techniques and MIS: The Thoracoscopic Approach
Attention for Chapter 4: The Robotic Arm Guidance System: Applications and Limits
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Citations

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Chapter title
The Robotic Arm Guidance System: Applications and Limits
Chapter number 4
Book title
Modern Thoraco-Lumbar Implants for Spinal Fusion
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-60143-4_4
Book ISBNs
978-3-31-960142-7, 978-3-31-960143-4
Authors

Vejay Vakharia, Hani J. Marcus

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Student > Bachelor 1 17%
Other 1 17%
Unknown 3 50%
Readers by discipline Count As %
Medicine and Dentistry 2 33%
Neuroscience 1 17%
Unknown 3 50%

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