AOSpine Masters Series, Volume 10: Spinal Infections

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Renowned spine experts share recent advances on the management of spinal infections

AOSpine Masters Series, Volume 10: Spinal Infections is a concise, state-of-the-art review covering all aspects of spinal infections – from basic science and epidemiology to fundamental surgical and nonsurgical approaches. Internationally renowned spine surgeons Luis Roberto Vialle, S. Rajasekaran, Rishi Kanna, Giuseppe Barbagallo, and many experts across the world, provide clinical pearls and insights gleaned from years of hands-on expertise. This book provides discussion of underlying pathologies, imaging and diagnosis, and surgical techniques, with a focus on issues specific to children, co-infection with HIV, postoperative problems, geriatric patients, and pseudoarthrosis.

Key Highlights

  • Overviews on the epidemiology, microbiology, and pathology of spinal infections
  • Detailed review of imaging, and other investigations
  • Treatment planning and surgical techniques
  • Risk stratification and prevention of post-operative infection
  • Pathogenesis, clinical features, diagnosis, and treatment of pyogenic spondylodiscitis in various regions of the spine
  • Clinical pearls on the management of spinal tuberculosis, including drug therapy and surgery

The AOSpine Masters series, a co-publication of Thieme and the AOSpine Foundation, addresses current clinical issues featuring international masters sharing their expertise in the core areas in the field. The goal of the series is to contribute to an evidence-based approach to spine care.

This textbook is essential reading for all spine surgeons. Orthopaedic and neurosurgery residents, as well as veteran surgeons will find this a useful tool for daily practice.

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Additional Information

Publisher
Thieme
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Published on
Jun 15, 2018
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Pages
202
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ISBN
9781626234567
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Language
English
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Genres
Medical / Orthopedics
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Content Protection
This content is DRM protected.
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Available on Android devices
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This second volume in the AOSpine Masters Series balances critical appraisal of current evidence in spine oncology with the opinions of experienced spine surgeons to create a unique clinical reference for spine oncology surgeons. The book provides expert guidance to help clinicians make the right treatment decisions and provide the best care for their patients. The chapters have been written and researched by key leaders in spine oncology and range from general evaluation, staging, and decision making principles to histology-specific oncologic patient management.

Key Features:

Editors are internationally-recognized authorities on the treatment of primary spine tumorsSynthesizes the best available evidence and consensus expert advice on primary spine tumors, leading to optimal clinical recommendations Each chapter includes clinical pearls, tips on complication avoidance, and top 5 must-read references

The AOSpine Masters Series, a co-publication of Thieme and the AOSpine Foundation, addresses current clinical issues whereby international masters of spine share their expertise and recommendations on a particular topic. The goal of the series is to contribute to an evolving, dynamic model of an evidence-based medicine approach to spine care.

All neurosurgeons, orthopedic surgeons, neuro-oncologists, and orthopedic oncologists specializing in spine, along with residents and fellows in these areas, will find this book to be an excellent resource that they will often refer to in their treatment of patients with primary tumors of the spine.

Biologically inspiredcomputing isdi?erentfromconventionalcomputing.Ithas adi?erentfeel; often the terminology does notsound like it’stalkingabout machines.The activities ofthiscomputingsoundmorehumanthanmechanistic as peoplespeak ofmachines that behave, react, self-organize,learn, generalize, remember andeven to forget.Much ofthistechnology tries to mimic nature’s approach in orderto mimicsome of nature’s capabilities.They havearigorous, mathematical basisand neuralnetworks forexamplehaveastatistically valid set on which the network istrained. Twooutlinesaresuggestedasthepossibletracksforpatternrecognition.They are neuralnetworks andfunctionalnetworks.NeuralNetworks (many interc- nected elements operating in parallel) carryout tasks that are not only beyond the scope ofconventionalprocessing but also cannotbeunderstood in the same terms.Imagingapplicationsfor neuralnetworksseemtobea natural?t.Neural networks loveto do pattern recognition. A new approachto pattern recognition usingmicroARTMAP together with wavelet transforms in the context ofhand written characters,gestures andsignatures havebeen dealt.The KohonenN- work,Back Propagation Networks andCompetitive Hop?eld NeuralNetwork havebeen considered for various applications. Functionalnetworks,beingageneralizedformofNeuralNetworkswherefu- tionsarelearnedratherthanweightsiscomparedwithMultipleRegressionAn- ysisforsome applicationsandtheresults are seen to be coincident. New kinds of intelligence can be added to machines, and we will havethe possibilityof learningmore about learning.Thus our imaginationsand options are beingstretched.These new machines will be fault-tolerant,intelligentand self-programmingthustryingtomakethemachinessmarter.Soastomakethose who use the techniques even smarter. Chapter1 isabrief introduction toNeural and Functionalnetworks in the context of Patternrecognitionusing these disciplinesChapter2 givesa review ofthearchitectures relevantto the investigation andthedevelopment ofthese technologies in the past few decades. Retracted VIII Preface Chapter3begins with the lookattherecognition ofhandwritten alphabets usingthealgorithm for ordered list ofboundary pixelsas well as the Ko- nenSelf-Organizing Map (SOM).Chapter 4 describes the architecture ofthe MicroARTMAP and its capability.
Now in its fourth edition and with a new title – Injection Techniques in Musculoskeletal Medicine – this successful step-by-step guide is a trusted resource used by a wide range of practitioners who have to deal with the management of painful joints and soft tissues, particularly in relation to sports and overuse injuries.

Area by area, guidance is given for each lesion on appropriate patient selection and delivery of the drug. Every technique has its own two-page spread containing a written description along with an anatomical illustration of the region and a photograph showing the anatomical landmarks for the injection.

This new edition is now accompanied by a Trainer available via www.injectiontechniquesonline.com. Please see log on for further details on how to access the virtual training guide - introduced by Stephanie Saunders herself - which covers the top most common injection techniques for each of the body regions. Through key text, videos, animations and interactive self-assessment, users are tested on their knowledge of anatomical landmarks, differential diagnoses, assessment criteria, drug selection and technical skill. Further access is given to a library of over 50 video clips showing supplementary injection techniques which clearly demonstrate the correct anatomical position for each needle insertion.

Illustrations, references, lesions, drugs, controversies! Chapters on Other Injectable Substances; Landmark and Image Guided Injections Latest evidence in injection therapy literature Adapted and simplified practical sections Access to Musculoskeletal Injection Techniques Trainer – a virtual aid to test your anatomical and technical skills on the top most common injections for the upper and lower limbs and spine – perfect for self-testing and honing your skills! Log on to www.injectiontechniquesonline.com to begin The Trainer also gives unlimited access to a bank of over 50 video clips demonstrating actual needle insertion for each lesion
 The second edition of this book provides a comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence, which in recent years, has turned synonymous to it. The constituent technologies discussed comprise neural network (NN), fuzzy system (FS), evolutionary algorithm (EA), and a number of hybrid systems, which include classes such as neuro-fuzzy, evolutionary-fuzzy, and neuro-evolutionary systems. The hybridization of the technologies is demonstrated on architectures such as fuzzy backpropagation network (NN-FS hybrid), genetic algorithm-based backpropagation network (NN-EA hybrid), simplified fuzzy ARTMAP (NN-FS hybrid), fuzzy associative memory (NN-FS hybrid), fuzzy logic controlled genetic algorithm (EA-FS hybrid) and evolutionary extreme learning machine (NN-EA hybrid)

Every architecture has been discussed in detail through illustrative examples and applications. The algorithms have been presented in pseudo-code with a step-by-step illustration of the same in problems. The applications, demonstrative of the potential of the architectures, have been chosen from diverse disciplines of science and engineering.

This book, with a wealth of information that is clearly presented and illustrated by many examples and applications, is designed for use as a text for the courses in soft computing at both the senior undergraduate and first-year postgraduate levels of computer science and engineering. It should also be of interest to researchers and technologists desirous of applying soft computing technologies to their respective fields of work.

Biologically inspiredcomputing isdi?erentfromconventionalcomputing.Ithas adi?erentfeel; often the terminology does notsound like it’stalkingabout machines.The activities ofthiscomputingsoundmorehumanthanmechanistic as peoplespeak ofmachines that behave, react, self-organize,learn, generalize, remember andeven to forget.Much ofthistechnology tries to mimic nature’s approach in orderto mimicsome of nature’s capabilities.They havearigorous, mathematical basisand neuralnetworks forexamplehaveastatistically valid set on which the network istrained. Twooutlinesaresuggestedasthepossibletracksforpatternrecognition.They are neuralnetworks andfunctionalnetworks.NeuralNetworks (many interc- nected elements operating in parallel) carryout tasks that are not only beyond the scope ofconventionalprocessing but also cannotbeunderstood in the same terms.Imagingapplicationsfor neuralnetworksseemtobea natural?t.Neural networks loveto do pattern recognition. A new approachto pattern recognition usingmicroARTMAP together with wavelet transforms in the context ofhand written characters,gestures andsignatures havebeen dealt.The KohonenN- work,Back Propagation Networks andCompetitive Hop?eld NeuralNetwork havebeen considered for various applications. Functionalnetworks,beingageneralizedformofNeuralNetworkswherefu- tionsarelearnedratherthanweightsiscomparedwithMultipleRegressionAn- ysisforsome applicationsandtheresults are seen to be coincident. New kinds of intelligence can be added to machines, and we will havethe possibilityof learningmore about learning.Thus our imaginationsand options are beingstretched.These new machines will be fault-tolerant,intelligentand self-programmingthustryingtomakethemachinessmarter.Soastomakethose who use the techniques even smarter. Chapter1 isabrief introduction toNeural and Functionalnetworks in the context of Patternrecognitionusing these disciplinesChapter2 givesa review ofthearchitectures relevantto the investigation andthedevelopment ofthese technologies in the past few decades. Retracted VIII Preface Chapter3begins with the lookattherecognition ofhandwritten alphabets usingthealgorithm for ordered list ofboundary pixelsas well as the Ko- nenSelf-Organizing Map (SOM).Chapter 4 describes the architecture ofthe MicroARTMAP and its capability.
This class-room tested book, representing the teaching experience of over two decades by the authors, is designed to cater to the needs of senior undergraduate and first-year postgraduate students of civil engineering for a course in Advanced Structural Analysis/Matrix Methods of Structural Analysis/Computer Methods of Structural Analysis. The book endeavours to fulfil two principal objectives. First, it acquaints students with the matrix methods of structural analysis and their underlying concepts and principles. Second, it demonstrates the development of well-structured computer programs for the analysis of structures by the matrix methods. After a thorough presentation of the mathematical tools and theory required for linear elastic analysis of structural systems, the text focuses on the flexibility and stiffness methods of analysis for computer usage. The direct stiffness method which forms the backbone of most computer programs is also discussed. Besides, the physical behaviour of structures is analyzed throughout with the help of axial thrust, shear force, bending moment and deflected shape diagrams. A large number of worked-out examples are included to amplify the concepts and to illustrate the effect of external loads, including the effect of temperature, lack of fit, and settlement of supports, etc. The CD-ROM contains many illustrative computer programs and the usage of modern packages such as Excel and Matlab. The book will also be a useful reference for practising structural engineers who wish to pursue the versatility of matrix methods as a tool for computer applications.
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