title: Neuropathic pain: is quantitative sensory testing helpful?
abstract: Neuropathic pain arises as a consequence of a lesion or disease affecting the somatosensory system and is characterised by a combination of positive and negative sensory symptoms. Quantitative sensory testing (QST) examines the sensory perception after application of different mechanical and thermal stimuli of controlled intensity and the function of both large (A-beta) and small (A-delta and C) nerve fibres, including the corresponding central pathways. QST can be used to determine detection, pain thresholds and stimulus-response curves and can thus detect both negative and positive sensory signs, the second ones not being assessed by other methods. Similarly to all other psychophysical tests QST requires standardised examination, instructions and data evaluation to receive valid and reliable results. Since normative data are available, QST can contribute also to the individual diagnosis of neuropathy, especially in the case of isolated small-fibre neuropathy, in contrast to the conventional electrophysiology which assesses only large myelinated fibres. For example, detection of early stages of subclinical neuropathy in symptomatic or asymptomatic patients with diabetes mellitus can be helpful to optimise treatment and identify diabetic foot at risk of ulceration. QST assessed the individual's sensory profile and thus can be valuable to evaluate the underlying pain mechanisms which occur in different frequencies even in the same neuropathic pain syndromes. Furthermore, assessing the exact sensory phenotype by QST might be useful in the future to identify responders to certain treatments in accordance to the underlying pain mechanisms.
authors.affiliation: Department of Pain Medicine, Berufsgenossenschaftliches Universitätsklinikum Bergmannsheil GmbH, Ruhr-University Bochum, Germany. Elena.Krumova@rub.de
authors.forename: Elena K
authors.initials: EK
authors.lastname: Krumova
authors.forename: Christian
authors.initials: C
authors.lastname: Geber
authors.forename: Andrea
authors.initials: A
authors.lastname: Westermann
authors.forename: Christoph
authors.initials: C
authors.lastname: Maier
mesh_terms: D000465:Algorithms; D005260:Female; D006801:Humans; D008297:Male; D009437:Neuralgia / Q000175:diagnosis* / Q000503:physiopathology; D009460:Neurologic Examination / Q000379:methods*; D010147:Pain Measurement / Q000379:methods*; D017288:Pain Threshold; D010812:Physical Stimulation / Q000379:methods; D012016:Reference Values; D012720:Severity of Illness Index; D011795:Surveys and Questionnaires