Literature DB >> 7860720

Quantitative sensory testing: methodology, applications, and future directions.

G Gruener1, P J Dyck.   

Abstract

Quantitative sensory testing (QST) is based on well-developed psychophysical methods that define not only the stimulus (type, characteristics, quantity, presentation, testing format, and environment) but also the response (form and analysis). With the availability of personal computers, transducers, electronic circuitry, and specially written software, it became possible to develop systems that delivered physical stimuli with waveforms that were precisely defined, quantitated, and graded over a broad range of magnitudes, and capable of eliciting unitary sensations. Specific algorithms of testing and finding threshold could now be programmed for exact and sequential error-free testing. Results could also be efficiently and accurately printed out and compared with normal values with consideration of modality, site, gender, height, and weight. QST's main application is in quantifying modality-specific detection thresholds (and some suprathresholds also) in health (by site, side, development, aging, and other) and in disease (involving sensory receptors, nerve fibers, central nervous system tracts, or cerebral association areas), allowing it to play the unique role of standardizing the clinical examination. Used to identify modality-specific sensory loss it can, for example, be correlated with the compound action potential of sural nerve in vitro and with the number and sizes of fibers. In detecting patterns of sensory abnormality, it can also suggest the presence of specific diseases and be used to follow the course of sensory loss. Finally, because it is the best approach to detect, characterize, and quantitate sensory abnormality, it is useful both in epidemiologic and controlled clinical trials. Although our review focuses especially on the approaches and system we have developed, other systems using standardized approaches are available allowing the evaluation of vibratory (VDT), cooling (CDT), and warming (WDT) detection thresholds and visual analog scaling of heat pain (HP VAS).

Entities:  

Mesh:

Year:  1994        PMID: 7860720

Source DB:  PubMed          Journal:  J Clin Neurophysiol        ISSN: 0736-0258            Impact factor:   2.177


  20 in total

Review 1.  Neuropathic Pain After Spinal Cord Injury: Challenges and Research Perspectives.

Authors:  Rani Shiao; Corinne A Lee-Kubli
Journal:  Neurotherapeutics       Date:  2018-07       Impact factor: 7.620

Review 2.  Quantitative sensory testing of neuropathic pain patients: potential mechanistic and therapeutic implications.

Authors:  Doreen B Pfau; Christian Geber; Frank Birklein; Rolf-Detlef Treede
Journal:  Curr Pain Headache Rep       Date:  2012-06

3.  Impaired thermal perception in cluster headache.

Authors:  Jens Ellrich; Dejan Ristic; Sareh Said Yekta
Journal:  J Neurol       Date:  2006-04-28       Impact factor: 4.849

4.  Impaired abdominal skin sensory function in morbid obesity and after bariatric surgery.

Authors:  Rodolpho Alberto Bussolaro; Elvio Bueno Garcia; Maria Teresa Zanella; Lydia Masako Ferreira
Journal:  Obes Surg       Date:  2012-03       Impact factor: 4.129

5.  Characteristics of patients with sensory neuropathy diagnosed with abnormal small nerve fibres on skin biopsy.

Authors:  E A De Sousa; A P Hays; R L Chin; H W Sander; T H Brannagan
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-08       Impact factor: 10.154

6.  Development and validation of a pressure-type automated quantitative sensory testing system for point-of-care pain assessment.

Authors:  Steven E Harte; Mainak Mitra; Eric A Ichesco; Megan E Halvorson; Daniel J Clauw; Albert J Shih; Grant H Kruger
Journal:  Med Biol Eng Comput       Date:  2013-02-05       Impact factor: 2.602

7.  Analysis of trigeminal nerve disorders after oral and maxillofacial intervention.

Authors:  Sareh Said Yekta; Felix Koch; Maurice B Grosjean; Marcella Esteves-Oliveira; Jamal M Stein; Alireza Ghassemi; Dieter Riediger; Friedrich Lampert; Ralf Smeets
Journal:  Head Face Med       Date:  2010-10-26       Impact factor: 2.151

8.  Multifactorial assessment of measurement errors affecting intraoral quantitative sensory testing reliability.

Authors:  Estephan J Moana-Filho; Aurelio A Alonso; Flavia P Kapos; Vladimir Leon-Salazar; Scott H Durand; James S Hodges; Donald R Nixdorf
Journal:  Scand J Pain       Date:  2017-05-01

Review 9.  Cryptogenic sensory polyneuropathy.

Authors:  Mamatha Pasnoor; Mazen M Dimachkie; Richard J Barohn
Journal:  Neurol Clin       Date:  2013-03-13       Impact factor: 3.806

10.  NerveCheck: An inexpensive quantitative sensory testing device for patients with diabetic neuropathy.

Authors:  G Ponirakis; M N Odriozola; S Odriozola; I N Petropoulos; S Azmi; H Fadavi; U Alam; O Asghar; A Marshall; A Miro; A Kheyami; A Al-Ahmar; M B Odriozola; A Odriozola; R A Malik
Journal:  Diabetes Res Clin Pract       Date:  2016-01-14       Impact factor: 5.602

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