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  1. Article ; Online: Evaluation of diagnosis techniques used for spinal injury related back pain.

    Janssen, Meaghan / Nabih, Aliaa / Moussa, Walied / Kawchuk, Gregory N / Carey, Jason P

    Pain research and treatment

    2011  Volume 2011, Page(s) 478798

    Abstract: Back pain is a prevalent condition affecting much of the population at one time or the other. Complications, including neurological ones, can result from missed or mismanaged spinal abnormalities. These complications often result in serious patient ... ...

    Abstract Back pain is a prevalent condition affecting much of the population at one time or the other. Complications, including neurological ones, can result from missed or mismanaged spinal abnormalities. These complications often result in serious patient injury and require more medical treatment. Correct diagnosis enables more effective, often less costly treatment methods. Current diagnosis technologies focus on spinal alterations. Only approximately 10% of back pain is diagnosable, with current diagnostic technologies. The objective of this paper is to investigate and evaluate based on specific criteria current diagnosis technique. Nine diagnostic techniques were found in the literature, namely, discography, myelography, single photon emission computer tomography (SPECT), computer tomography (CT), combined CT & SPECT, magnetic resonance imaging (MRI), upright and kinematic MRI, plain radiography and cineradiography. Upon review of the techniques, it is suggested that improvements can be made to all the existing techniques for diagnosing back pain. This review will aid health service developers to focus on insufficient areas, which will help to improve existing technologies or even develop alternative ones.
    Language English
    Publishing date 2011-06-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2603578-9
    ISSN 2090-1550 ; 2090-1542
    ISSN (online) 2090-1550
    ISSN 2090-1542
    DOI 10.1155/2011/478798
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Evaluation of Diagnosis Techniques Used for Spinal Injury Related Back Pain

    Meaghan Janssen / Aliaa Nabih / Walied Moussa / Gregory N. Kawchuk / Jason P. Carey

    Pain Research and Treatment, Vol

    2011  Volume 2011

    Abstract: Back pain is a prevalent condition affecting much of the population at one time or the other. Complications, including neurological ones, can result from missed or mismanaged spinal abnormalities. These complications often result in serious patient ... ...

    Abstract Back pain is a prevalent condition affecting much of the population at one time or the other. Complications, including neurological ones, can result from missed or mismanaged spinal abnormalities. These complications often result in serious patient injury and require more medical treatment. Correct diagnosis enables more effective, often less costly treatment methods. Current diagnosis technologies focus on spinal alterations. Only approximately 10% of back pain is diagnosable, with current diagnostic technologies. The objective of this paper is to investigate and evaluate based on specific criteria current diagnosis technique. Nine diagnostic techniques were found in the literature, namely, discography, myelography, single photon emission computer tomography (SPECT), computer tomography (CT), combined CT & SPECT, magnetic resonance imaging (MRI), upright and kinematic MRI, plain radiography and cineradiography. Upon review of the techniques, it is suggested that improvements can be made to all the existing techniques for diagnosing back pain. This review will aid health service developers to focus on insufficient areas, which will help to improve existing technologies or even develop alternative ones.
    Keywords Medicine (General) ; R5-920
    Language English
    Publishing date 2011-01-01T00:00:00Z
    Publisher Hindawi Publishing Corporation
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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