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March 25, 2003; 60 (6) Special Article

Quantitative sensory testing

Report of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology

M.E. Shy, E.M. Frohman, Y.T. So, J.C. Arezzo, D.R. Cornblath, M.J. Giuliani, J.C. Kincaid, J.L. Ochoa, G.J. Parry, L.H. Weimer
First published March 25, 2003, DOI: https://doi.org/10.1212/01.WNL.0000058546.16985.11
M.E. Shy
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E.M. Frohman
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Y.T. So
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J.C. Arezzo
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D.R. Cornblath
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M.J. Giuliani
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J.C. Kincaid
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J.L. Ochoa
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G.J. Parry
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L.H. Weimer
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Citation
Quantitative sensory testing
Report of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology
M.E. Shy, E.M. Frohman, Y.T. So, J.C. Arezzo, D.R. Cornblath, M.J. Giuliani, J.C. Kincaid, J.L. Ochoa, G.J. Parry, L.H. Weimer
Neurology Mar 2003, 60 (6) 898-904; DOI: 10.1212/01.WNL.0000058546.16985.11

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Abstract

Objective: This assessment evaluates the clinical utility, efficacy, and safety of quantitative sensory testing (QST).

Methods: By searching MEDLINE, Current Contents, and their personal files, the authors identified 350 articles. Selected articles utilized computer operated threshold systems, manually operated threshold systems, and electrical threshold devices. The authors evaluated the use of normal values and the degree of reproducibility between the same and different systems. Articles were rated using a standard classification of evidence scheme.

Results: Because of differences between systems, normal values from one system cannot be transposed to others. Reproducibility of results was also an important concern, and there is no consensus on how it should be defined. The authors identified no adequately powered class I studies demonstrating the effectiveness of QST in evaluating any particular disorder. A number of class II and III studies demonstrated that QST is probably or possibly useful in identifying small or large fiber sensory abnormalities in patients with diabetic neuropathy, small fiber neuropathies, uremic neuropathies, and demyelinating neuropathy.

Conclusions: QST is a potentially useful tool for measuring sensory impairment for clinical and research studies. However, QST results should not be the sole criteria used to diagnose pathology. Because malingering and other nonorganic factors can influence the test results, QST is not currently useful for the purpose of resolving medicolegal matters. Well-designed studies comparing different QST devices and methodologies are needed and should include patients with abnormalities detected solely by QST.

Quantitative sensory testing (QST) systems have been developed to assess and quantify sensory function in patients with neurologic symptoms or in those at risk of developing neurologic disease. QST measures the detection threshold of accurately calibrated sensory stimuli. Vibratory, thermal, or painful stimuli are often chosen because they relate to distinct neuroanatomic pathways with discrete fiber populations.1-3⇓⇓ It should be appreciated, however, that natural stimuli rarely activate single types of receptors but rather activate different combinations of receptors.1

Quantitative sensory tests are psychophysical in nature, requiring cooperation from the patient. While the sensory stimulus is an objective physical event, the response represents the subjective report from a patient or control subject. If abnormal, the result may signal dysfunction anywhere along the sensory pathway between the receptor apparatus, the primary sensory cortex, and the association cortex. Furthermore, psychological factors figure prominently in sensory function perception. Thus, QST differs from nerve conduction and evoked potential testing in which the stimulus generates an evoked response that is generally independent of cooperation from the subject.4

QST devices.

QST systems are separable into devices that generate specific physical vibratory or thermal stimuli and those that deliver electrical impulses at specific frequencies. Vibration is defined as the sensation in response to high-frequency sinusoidal mechanical stimulation. To generate vibration, QST devices typically utilize stimulators with a designed frequency and adjustable amplitude. Frequencies around 200–300 Hz are optimal because Pacinian corpuscles are most sensitive to vibration in this range. Stimulation at 128 Hz is also acceptable for clinical use but is likely to stimulate both Meissner’s as well as Pacinian corpuscles.1 Devices that generate thermal stimuli utilize the Peltier principle, in which the intensity and direction of current flow controls the surface temperature of a test electrode (thermode).5 The thermode contacts the skin and a subject is asked to report sensation of temperature change or heat pain. An alternative stimulation modality utilizes electrical stimuli of variable frequency and intensity to determine sensory thresholds.

QST methodology.

A technical challenge for QST is to determine accurate and reproducible sensory thresholds in a reasonable amount of time. Tests for pain sensation have the additional challenge of minimizing the number of stimuli that are unpleasant to the patient. Algorithms for testing have been developed to facilitate sensory threshold determination. Two general schemes have emerged: the method of limits and the method of levels. In the method of limits, a subject is required to indicate as soon as an increasingly strong stimulus is detected (ascending ramp) or when a decreasing stimulus is no longer detected (descending ramp). In the method of levels, stimuli of defined intensity levels are tested with the subject signaling whether a specific level is detected. In the method of levels, the subject is forced to choose whether or not a stimulus is felt; hence, it is also referred to as a “forced choice” algorithm. An illustration summarizing the methods of limits and levels is shown in the accompanying figure.

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Figure. Summary of the methods of (A) “limits” and (B) “levels.”

In the method of limits, sensory thresholds are dependent on the rate of change of the stimuli (slope of the ramp) and tend to be higher and more variable than for the method of levels.6-9⇓⇓⇓ This is due in part to a subject’s reaction time. A subject needs to consciously perceive the stimulus, process the information, and generate an action to indicate a response. During this period of information processing before the subject indicates a response, the stimulus continues to increase or decrease, leading to a small error in threshold measurement. The method of limits is therefore a “reaction time inclusive” technique. In the method of levels, the response is independent of the speed of response.10 However, it usually takes longer to complete and is susceptible to errors from decreased attention by the subject.

Normal values.

Factors such as electrode size, site of stimulation, and frequency and rate of change of the stimuli all have a direct impact on sensory threshold measurements. Normative values using one system cannot be transposed readily to others. Moreover, the environment of the test laboratory, instructions to the subjects, subjects’ motivation, as well as the subjects’ age, sex, and ethnicity may also influence the test results. Consequently, each laboratory should in theory generate its own normal values. However, accumulating or comparing normal values is a time-consuming and expensive procedure because more than 500 randomly selected persons may have to participate to obtain a cohort of 300 persons without confounding neurologic disease. Patients of all age strata and sex have to be included. To obtain such a cohort, an initial neurologic evaluation, subsequent testing, and proper statistical analysis must all be performed.11 Thus, it is not always feasible for individual practitioners or small groups to obtain their own normal values, and they must rely on the published values for their respective apparatus.

Reproducibility.

Reproducibility is also an important concern. There is no consensus on how it should be defined. One approach is to use correlation techniques to compare results between separate sessions12,13⇓ (Class II). Another approach is to calculate the repeatability factor “r,” for which there is a 95% CI that two determinations made on the same subject would differ by less than “r.” Only intersession differences larger than r would be considered “different.”9,14,15⇓⇓

A reproducible result cannot be obtained without a standardized approach to testing. Users must be adequately instructed by the manufacturer in how to operate the device. The room should be quiet with no distractions. Instructions should be read to the subject by the examiner. The test should always be done in exactly the same manner, and the same examiner should do follow-up testing. There is little published data available to compare the reproducibility of different systems.

Description of the analytical process.

In order to evaluate the safety, efficacy, and clinical utility of QST, a panel was assembled based on their expertise in sensory testing. Data for this review were identified by searches of MEDLINE, Current Contents, and references from relevant articles published between 1975 and 2001; numerous articles were also identified through searches of the extensive files of the panel members. Search items “quantitative sensory testing,” “QST,” and “sensory testing” were used. Abstracts and reports from meetings were included only when they related directly to previously published work. Only English language papers were reviewed. Over 350 articles were reviewed and rated based on the quality of study design. The document was submitted to review internally by the Therapeutic and Technology Assessment Subcommittee of the American Academy of Neurology (AAN), AAN member reviewers, AAN Sections, externally by the American Association of Electrodiagnostic Medicine, and through the peer review process of the journal Neurology.

Analysis of the evidence.

Diabetic neuropathy.

A consensus conference on diabetic neuropathy recommended that QST be included in diabetic polyneuropathy evaluation.16 Class III studies in the 1970s suggested that QST for thermal thresholds may detect preclinical diabetic neuropathy.17 Several Class II and III studies in the diabetic literature measured vibration thresholds with the noncomputer controlled Biothesiometer (Bio Medical Instruments, Newbury, OH), without a clinical examination, to diagnose diabetic neuropathy.18-20⇓⇓ Other investigators reported abnormalities of thermal QST thresholds in 70% of long-term Type 1 diabetic patients21 (Class II) and up to 27.5% of newly diagnosed Type 1 diabetic patients22 (Class II).

In patients with established neuropathy, 280 diabetics and 75 controls were evaluated by neurologic examination, nerve conduction studies, and QST23 (Class II). Abnormalities in “warm-cold differences” were found in up to 78% and heat pain abnormalities in up to 39% of the diabetics tested. Among the 46 patients with normal clinical examinations, 26 had abnormalities on thermal testing, while only 15 had abnormalities on nerve conduction studies. In another study24 (Class II), thermal and vibration sensations were assessed with the noncomputerized Marstock device (Somedic AB, Stockholm, Sweden) and Biothesiometer in 47 patients with diabetic neuropathy. Thermal sensation was abnormal in all 22 patients with neuropathy foot ulcers or Charcot joints, 10 of 15 patients with neuropathic pain, and 9 of 10 patients with autonomic neuropathy. Vibration sensation was less often abnormal. In 8 patients, thermal testing was abnormal, while vibration threshold was normal.

In a series of 90 diabetics and 31 healthy controls, the electrical current perception device Neurometer (Neurotron, Incorporated, Baltimore, MD) detected differences between neuropathic and nonneuropathic groups at all test frequencies (5 Hz, 250 Hz, and 2 kHz)25 (Class II). The current perception threshold (CPT) to 2kHz stimulation correlated best with vibratory thresholds, and CPT to 5Hz stimulation correlated with thermal (warm) discrimination. In a separate study, investigators compared clinical examination, vibratory perception (Vibrameter), and CPT (Neurometer) in 33 healthy controls, 23 patients with diabetes and no clinical neuropathy, 22 patients with diabetes and overt neuropathy, and 38 patients with a diabetic duration of more than 20 years26 (Class II). Correlation between clinical neuropathy scores and both vibratory perception thresholds (VPT) (method of limits) and CPT (method of limits and levels) were only moderate. Correlation between VPT and CPT were maximal at 2,000 Hz for CPT (r = 0.61). Correlation between CPT at 250 Hz or 5 Hz with clinical evaluation of neuropathy were less than for 2,000 Hz.

In all of these studies, the central concern has been the sensitivity of QST in diagnosing diabetic neuropathy. Because of the subjective nature of QST, there are concerns about whether QST by itself can be used to diagnose diabetic neuropathy. The Rochester Diabetic Neuropathy Study addressed this issue utilizing QST with the computerized CASE IV device (WR Medical Electronics, Stillwater, MN)27 (Class II). In this study, 195 diabetic patients representative of the community population were followed longitudinally for up to 12 years. Based on the study results, the investigators concluded that QST should not be used as the sole criteria for diagnosing diabetic neuropathy, but should be accompanied by at least one other defined abnormality before the diagnosis of diabetic neuropathy can be made.

QST in diabetic neuropathy may be valuable in providing quantitative data in longitudinal natural history or clinical trial studies, in which thresholds can be measured over time. Studies have demonstrated improved thermal13 and vibratory28 thresholds with tight control of blood glucose levels (Class II). In the Rochester Diabetic Neuropathy Study, where patients were followed for a 12-year period, QST for vibration was a good measure of the longitudinal worsening, but a more useful measure was a composite score that included vibration perception threshold, clinical examination, nerve conduction values, and heart rate response to deep breathing27 (Class II).

  • Based on Class II evidence, QST measuring vibration and thermal perception thresholds is probably an effective tool in the documentation of sensory abnormalities in patients with diabetic neuropathy (Level B recommendation).

  • Based on several Class II studies, QST is probably useful in documenting changes in sensory thresholds in longitudinal evaluation of patients with diabetic neuropathy (Level B recommendation).

  • Although there is data to suggest that QST abnormalities may be detectable in the absence of clinical evidence of neuropathy in diabetic patients, there is no credible prospective evidence that patients with these abnormalities will ultimately go on to develop clinical neuropathy. Thus, whether QST is useful in preclinical neuropathy detection is unproven (Level U recommendation).

Small fiber sensory neuropathy.

In an evaluation of 20 patients with idiopathic painful small fiber neuropathy utilizing the CASE IV device, investigators found abnormal QST thresholds to cold in 82% and to vibration in 60%. By comparison, QST thresholds were abnormal in 17% of healthy controls29 (Class II). There was no significant correlation between QST threshold percentiles and either the mean intraepidermal nerve fiber density (IENF) on skin biopsy specimens, or with clinical grade. In a subsequent series in which a reduction in IENF density was a requirement for entry into the study, 57% of 23 patients tested with CASE IV had abnormal QST threshold to cold and 30% had abnormal QST threshold to vibration30 (Class III).

In a retrospective investigation, QST was performed on 15 of 39 with idiopathic small fiber neuropathy31 (Class III). Five patients had an abnormality on cold thermal testing and five had abnormalities on vibratory testing. In a comparison of different modalities for detection of suspected small fiber neuropathy, 10 of 15 patients (67%) had abnormal QST thermal testing, while 12 of the 15 (80%) had an abnormal clinical examination consistent with a small fiber neuropathy, 12 of 15 had abnormal quantitative sudomotor axon reflex testing (QSART), and 9 of 12 (75%) had abnormal heart rates with deep breathing32 (Class III). Ninety-three percent of patients were found to have abnormalities on at least one test, a higher percentage than was detectable using any one individual test. Taken together, these studies suggest that QST is most effective when used in concert with other modalities of neuropathy evaluation.

  • Based on limited Class II and Class III evidence, QST is possibly useful in demonstrating thermal threshold abnormalities in patients with small fiber neuropathy (Level C recommendation). The clinical utility of demonstrating such abnormalities has yet to be fully defined.

Pain syndromes.

In a study of 35 patients with postherpetic neuralgia, investigators utilized a Somedic Thermotest (Somedic AB) to evaluate both pain and thermal thresholds. They found that the lower the threshold at which a person experienced heat as pain, the more likely that the warm or cold thresholds were likely to be normal or only mildly abnormal. Similar results were found with cold pain testing, though not to the same degree as with heat pain33 (Class II). The authors postulated that these data demonstrated that activity in nociceptors still connected to both peripheral and central targets contributed to the pain. The same group used the computerized TSA-2001 QST device (Medoc Ltd, Ramat Yishai, Israel), along with epidermal nerve fiber counts, to identify a subgroup of postherpetic neuralgia patients who have less peripheral nerve damage. In this series, 11 of 17 patients developed increased pain following capsaicin application, and they had relatively preserved thermal sensory function compared with those who did not respond to capsaicin.34

Fifty-five percent of 31 patients with the clinical diagnosis of reflex sympathetic dystrophy had heat-induced hyperalgesia35 (Class II). In another study, the TSA-2001 was used to demonstrate paradoxical heat sensation to cold stimuli in 42% of 46 patients with end stage renal disease36 (Class II). Finally, thermal hyperalgesia is part of the diagnostic criteria for disorders such as the Angry Backfiring C nociceptors (ABC) syndrome37 and the triple cold syndrome (Cold hyperalgesia, Cold hypoesthesia, and Cold skin).38

Most of the reports mentioned above concern themselves with the diagnosis of pain and are lacking in longitudinal follow up. Moreover, the specificity of thermal pain threshold determination was not adequately addressed. Given the complex psychosocial and psychological components related to individual pain thresholds, the diagnosis of pain syndromes cannot be made solely based on QST. There is insufficient evidence to support the use of QST in monitoring heat pain thresholds in response to therapeutic agents.

  • Although there is limited Class II evidence to suggest that QST may be useful in demonstrating altered thresholds for pain perception in patients with various pain syndromes, the sensitivity and specificity of QST in the diagnosis of such disorders are unclear (Level U recommendation).

Toxic neuropathies.

Several studies have used QST testing to screen populations for evidence of neurotoxicity in the work place and to investigate neurotoxicity from medications. One group utilized the Vibratron II, clinical examinations, and nerve conduction velocities in a Class II study to determine the incidence of large fiber sensory neuropathy in 21 cancer patients treated with a combination of taxol and cisplatin.39 Twenty of 21 patients developed at least one abnormal finding on clinical examination. Loss of ankle reflexes occurred in 90%, and 76% developed paresthesias or numbness in the feet within 7 days of the onset of treatment. Following treatment, QST vibratory thresholds rose above baseline values in 17 patients (81%) at the great toe and in 11 patients (52%) at the index finger. QST changes correlated with the cumulative taxol dose at both the great toe (r = 0.68) and index finger (r = 0.62) (Class II).

There are several Class IV studies evaluating the application of QST in the workplace.40-42⇓⇓ There is a paucity of literature on how often workers with abnormal QST thresholds go on to develop clinically evident neuropathy or other neurologic abnormalities, based on clinical examination or other forms of testing. Thus, the significance of the QST findings detected in these studies is unknown.

  • Based on limited Class II evidence, QST is possibly useful in demonstrating sensory abnormalities that result from chemotherapy-induced neuropathy (Level C recommendation).

  • There is insufficient evidence to support the use of QST in monitoring the development of neuropathy secondary to workplace exposures (Level U recommendation).

Uremic neuropathy.

Uremic neuropathy presents as a predominantly sensory neuropathy, but unlike diabetic neuropathies, it predominantly affects large, myelinated fibers. Abnormalities in vibratory function were detected in 45% of 97 patients with chronic renal failure, but not in a control group of 85 subjects43 (Class II). However, QST was less sensitive in detecting abnormality than nerve conduction study. In another series of uremic patients, vibration perception threshold was compared with clinical signs of neuropathy and nerve conduction studies in patients with chronic renal failure44,45⇓ (Class III). Vibration perception threshold was abnormal in 36% of 64 patients and was again less sensitive than nerve conduction study.

  • QST is possibly useful in identifying large sensory fiber dysfunction in uremic patients based on limited Class II and Class III evidence (Level C recommendation).

Acquired and inherited demyelinating neuropathies.

Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) affects primarily large diameter nerves. Vibratory thresholds were abnormal in 53 of 75 patients using a CASE III device (precursor of the CASE IV), whereas cold thresholds were abnormal in only 11 of 34 patients46 (Class III). In a Class III study of 37 patients with Charcot Marie Tooth disease type 1A evaluated with CASE IV, patients with more severe clinical sensory loss tended to have higher QST thresholds. Correlation of the QST threshold for vibration with the clinical examination for position sense was particularly significant in the feet (r = 0.8). Correlation was also detected (r = 0.5) between clinical loss of pain and temperature sensation and QST thresholds for cold in the feet.47 No longitudinal study is available.

  • The usefulness of QST in the diagnosis or prognosis of patients with acquired or inherited demyelinating neuropathy is unproven due to the limited Class III evidence available (Level U recommendation).

Malingering.

As is the case with other psychophysical tests, such as audiometry and visual acuity, detecting malingerers or other nonorganic abnormalities is a challenge for QST devices. In studies measuring the variance of successive temperature transients, a larger variance was detected for “feigners,” who were asked to pretend to be hypoesthetic, than was obtained for those with true disease or controls.9,48⇓ The use of “null stimuli” in testing algorithms is sometimes effective, though not infallible in the detection of malingerers.48,49⇓ There is no Class III or better study to validate the use of QST in the diagnosis of malingering in patients who feign sensory loss.

  • There is insufficient evidence to support the use of QST in the diagnosis of psychogenic sensory loss or malingering (Level U recommendation).

Legal proceedings.

Malingering and other nonorganic factors can influence the testing results, and there is currently no reliable means to account for these factors. At this time, QST is not sufficiently established to justify utilization of this technique for the purpose of resolving medicolegal matters (Level U recommendation). Therefore, it should not be used in legal proceedings.

Summary and recommendations.

Clinical recommendations.

QST has contributed and has the potential to further contribute to research of sensory dysfunction. However, its role is only established when it is used as one of several tools in the evaluation of neurologic disorders. In addition to the recommendations made earlier for specific neurologic disorders, the following general recommendations are warranted.

  • QST results should not be the sole criteria utilized to diagnose structural pathology, of either a peripheral or CNS origin.

  • Abnormalities on QST must be interpreted in the context of a thorough neurologic examination and other appropriate testing such as the EMG, nerve biopsy, skin biopsy, or appropriate imaging studies.

  • Laboratories engaged in QST should demonstrate reproducible results on both controls and patients, and only allow adequately trained personnel to perform such testing. Testing should be preceded by standardized instructions to subjects, and be performed in a designated, quiet room with no distractions.

Research recommendations.

Longitudinal investigations demonstrating the significance of abnormalities detected by QST are lacking. Analysis of normal values and reproducibility of testing suggests a danger of interpreting studies not rigidly controlled in methodology, examiner performance, and testing format. With these concerns in mind, the following recommendations are made for the use of QST in research studies.

  • All centers participating in multicenter clinical trials should utilize the same device since normal values from one device cannot be extrapolated to another. Prior to the use of QST testing in multicenter trials, examiners should be trained so that testing is performed in a uniform manner.

  • Future studies should be undertaken to compare different QST devices and testing algorithms.

  • Studies should be undertaken to compare the results obtained by QST with those of nerve conduction studies, neurologic examinations, nerve biopsy, and skin biopsy.

  • Longitudinal investigations are needed to better understand the significance of abnormalities detected solely by QST.

Disclaimer.

This statement is provided as an educational service of the American Academy of Neurology. It is based on an assessment of current scientific and clinical information. It is not intended to include all possible proper methods of care for a particular neurologic problem or all ⇓ legitimate criteria for choosing to use a specific procedure. Neither is it intended to exclude any reasonable alternative methodologies. The AAN recognizes that specific patient care decisions are the prerogative of the patient and the physician caring for the patient, based on all circumstances involved.

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Table 1 Definitions for strength of recommendations

Appendix: Definitions for classification of evidence

  1. Class I. Evidence provided by a prospective study in a broad spectrum of persons with the suspected condition, using a “gold standard” for case definition, where test is applied in a blinded evaluation, and enabling the assessment of appropriate tests of diagnostic accuracy.

  2. Class II. Evidence provided by a prospective study of a narrow spectrum of persons with the suspected condition, or a well designed retrospective study of a broad spectrum of persons with an established condition (by “gold standard”) compared with a broad spectrum of controls, where test is applied in a blinded evaluation, and enabling the assessment of appropriate tests of diagnostic accuracy.

  3. Class III. Evidence provided by a retrospective study where either persons with the established condition or controls are of a narrow spectrum, and where test is applied in a blinded evaluation.

  4. Class IV. Any design where test is not applied in blinded evaluation OR evidence provided by expert opinion alone or in descriptive case series (without controls).

  • Accepted November 8, 2002.

References

  1. ↵
    Gardner EP, Martin JH, Jessell TM. The bodily senses. In: Kandel ER, Schwartz JH, Jessell TM, eds. Principles of Neural Science. New York: Elsevier, 2000: 430–450.
  2. ↵
    Gardner EP, Kandel ER. Touch. In: Kandel ER, Schwartz JH, Jessell TM, eds. Principles of Neural Science. New York: Elsevier, 2000: 451–471.
  3. ↵
    Bashaum AI, Jessell TM. The perception of pain. In: Kandel ER, Schwartz JH, Jessell TM, eds. Principles of Neural Science. New York: Elsevier, 2000: 472–492.
  4. ↵
    Kimura J. Nerve conduction studies and electromyography. In: Dyck PJ, Thomas PK, Griffin JW, Low PA, Poduslo JF, eds. Peripheral Neuropathy. Philadelphia: WB Saunders, 1993: 598–645.
  5. ↵
    Kenshalo DR, Bergen DC. A device to measure cutaneous temperature sensitivity in humans and subhuman species. J Appl Physiol . 1975; 39: 1038–1040.
    OpenUrlAbstract/FREE Full Text
  6. ↵
    Dyck PJ, Karnes JL, Gillen DA, O’Brien PC, Zimmerman IR, Johnson DM. Comparison of algorithms of testing for use in automated evaluation of sensation. Neurology . 1990; 40: 1607–1613.
    OpenUrlAbstract/FREE Full Text
  7. ↵
    Dyck PJ, Zimmerman I, Gillen DA, Johnson D, Karnes JL, O’Brien PC. Cool, warm, and heat-pain detection thresholds: testing methods and inferences about anatomic distribution of receptors. Neurology . 1993; 43: 1500–1508.
    OpenUrlAbstract/FREE Full Text
  8. ↵
    Hilz MJ, Glorius SE, Beric A. Thermal perception thresholds: influence of determination paradigm and reference temperature. J Neurol Sci . 1995; 129: 135–140.
    OpenUrlCrossRefPubMed
  9. ↵
    Yarnitsky D, Sprecher E. Thermal testing: normative data and repeatability for various test algorithms. J Neurol Sci . 1994; 125: 39–45.
    OpenUrlCrossRefPubMed
  10. ↵
    Yarnitsky D. Quantitative sensory testing. Muscle Nerve . 1997; 20: 198–204.
    OpenUrlCrossRefPubMed
  11. ↵
    Dyck PJ, Litchy WJ, Lehman KA, Hokanson JL, Low PA, O’Brien PC. Variables influencing neuropathic endpoints: The Rochester diabetic neuropathy study of healthy subjects. Neurology . 1995; 45: 1115–1121.
    OpenUrlAbstract/FREE Full Text
  12. ↵
    Levy D, Abraham R, Reid G. A comparison of two methods for measuring thermal thresholds in diabetic neuropathy. J Neurol Neurosurg Psychiat . 1989; 52: 1072–1077.
    OpenUrlAbstract/FREE Full Text
  13. ↵
    Bertelsmann FW, Heimans JJ, Van Rooy J. Peripheral nerve function in patients with painful diabetic neuropathy treated with continuous subcutaneous insulin infusion. J Neurol Neurosurg Psychiat . 1987; 50: 137–141.
    OpenUrl
  14. ↵
    Yarnitsky D, Sprecher E, Zaslansky R, Hemli JA. Heat pain thresholds: normative data and repeatability. Pain . 1995; 60: 329–332.
    OpenUrlCrossRefPubMed
  15. ↵
    Bravenboer B, Van Dam PS, Hop J, et al. Thermal threshold testing for the assessment of small fiber dysfunction: normal values and reproducibility. Diab Med . 1992; 9: 546–549.
    OpenUrlCrossRefPubMed
  16. ↵
    Statement C. Report and recommendation of the San Antonio conference on diabetic neuropathy. Diabetes 1988;37:1000–1004.
  17. ↵
    Fruhstorfer J, Lindblom U, Schmidt WC. Method for quantitative estimation of thermal thresholds in patients. J Neurol Neurosurg Psychiat . 1976; 39: 1071–1075.
    OpenUrlAbstract/FREE Full Text
  18. ↵
    Wang WQ, Ip TP, Lam KS. Changing prevalence of retinopathy in newly diagnosed non-insulin dependent diabetes mellitus patients in Hong Kong. Diab Res Clin Practice . 1998; 39: 185–191.
    OpenUrlCrossRefPubMed
  19. ↵
    Lavery LA, Armstrong DG, Vela SA, Quebedeaux TL, Fleischli JG. Practical criteria for screening patients at high risk for diabetic foot ulcerations. Arch Int Med . 1998; 158: 157–162.
    OpenUrl
  20. ↵
    Olsen BS, Johannesen J, Sjolie AK, et al. Metabolic control and prevalence of microvascular complications in yound Danish patients with type 1 diabetes mellitus. Diab Med . 1999; 16: 79–85.
    OpenUrlCrossRefPubMed
  21. ↵
    Ziegler D, Mayer P, Wiefels K, Gries FA. Assessment of small and large fiber function in long term type-1 (insulin dependent) diabetic patients with and without painful neuropathy. Pain . 1988a; 34: 1–10.
    OpenUrlPubMed
  22. ↵
    Ziegler D, Mayer P, Gries FA. Evaluation of thermal, pain, and vibration sensation thresholds in newly diagnosed type-1 diabetic patients. J Neurol Neurosurg Psychiat . 1988b; 1420–1424.
  23. ↵
    Navarro X, Kennedy WR. Evaluation of thermal and pain sensitivity in type 1 diabetic patients. J Neurol Neurosurg Psychiat . 1991; 54: 60–64.
    OpenUrlAbstract/FREE Full Text
  24. ↵
    Guy RJ, Clark CA, Malcolm PN. Evaluation of thermal and vibration sensation in diabetic neuropathy. Diabetologia . 1985; 28: 131–137.
    OpenUrlPubMed
  25. ↵
    Masson EA, Veves A, Fernando DJS, Boulton AJM. Current perception thresholds: a new, quick, and reproducible method for the assessment of peripheral neuropathy in diabetes melitus. Diabetologia . 1989; 32: 724–728.
    OpenUrlCrossRefPubMed
  26. ↵
    Tack CJ, Netten PM, Scheepers MH, et al. Comparison of clinical examination, current and vibratory perception threshold in diabetic polyneuropathy. Netherlands J Med . 1994; 44: 41–49.
    OpenUrlPubMed
  27. ↵
    Dyck PJ, Davies JL, Litchy WJ, O’Brien PC. Longitudinal assessment of diabetic polyneuropathy using a composite score in the Rochester Diabetic Neuropathy Study cohort. Neurology . 1997; 49: 229–239.
    OpenUrlAbstract/FREE Full Text
  28. ↵
    Service JF, Daube JR, O’Brien PC, et al. Effect of blood glucose control on peripheral nerve function in diabetic patients. Mayo Clin Proc . 1983; 58: 283–289.
    OpenUrlPubMed
  29. ↵
    Holland NR, Stocks A, Hauer P, et al. Intraepidermal nerve fiber density in patients with painful sensory neuropathy. Neurology . 1997; 1998: 708–711.
    OpenUrl
  30. ↵
    Holland NR, Crawford TO, Hauer P, et al. Small fiber sensory neuropathies: clinical course and neuropathology of idiopathic cases. Ann Neurol . 1998; 44: 47–59.
    OpenUrlCrossRefPubMed
  31. ↵
    Giuliani MJ, Stewart JD, Low PA. Distal small fiber neuropathy. Clin Autonomic Dis . 1997; 50: 699–714.
    OpenUrl
  32. ↵
    Tobin K, Giuliani MJ, Lacomis D. Comparison of different modalities for detection of small fiber neuropathy. Clin Neurophysiol . 1999; 110: 1910–1912.
    OpenUrl
  33. ↵
    Rowbotham MC, Fields HL. The relationship of pain, allodynia and thermal sensation in post-herpetic neuralgia. Brain . 1996; 119: 347–354.
    OpenUrlAbstract/FREE Full Text
  34. ↵
    Petersen KL, Fields HL, Brennum J, Sandroni P, Rowbotham MC. Capsaicin evoked pain and allodynia in post herpetic neuralgia. Pain . 2000; 88: 125–133.
    OpenUrlCrossRefPubMed
  35. ↵
    Price DD, Long S, Huitt C. Sensory testing of pathophysiological mechanisms of pain in patients with reflex sympathetic dystrophy. Pain . 1992; 49: 163–173.
    OpenUrlCrossRefPubMed
  36. ↵
    Yosipovitch G, Yarnitsky D, Mermelstein V, et al. Paradoxical heat sensation in uremic polyneuropathy. Muscle Nerve . 1995; 18: 768–771.
    OpenUrlCrossRefPubMed
  37. ↵
    Cline MA, Ochoa JL, Torebjork HE. Chronic hyperalgesia and skin warming caused by sensitized C-nociceptors. Brain . 1989; 112: 621–647.
    OpenUrlAbstract/FREE Full Text
  38. ↵
    Ochoa JL, Yarnitsky D. The triple-cold syndrome: cold hyperalgesia, cold hypoaesthesia and cold skin in peripheral nerve disease. Brain . 1994; 117: 185–197.
    OpenUrlAbstract/FREE Full Text
  39. ↵
    Chaudhry V, Rowinsky EK, Sartotius SF, Donehower RC, Cornblath DR. Peripheral neuropathy from taxol and cisplatin combination chemotherapy: clinical and electrophysiological studies. Ann Neurol . 1994; 35: 304–311.
    OpenUrlCrossRefPubMed
  40. ↵
    Bleecker ML, Bolla KI, Agnew J, Schwartz BS, Ford DP. Dose-related subclinical neurobehavioral effects of chronic exposure to low levels of organic solvents. Am J Industr Med . 1991; 19: 715–728.
    OpenUrl
  41. ↵
    Broadwell DK, Darcey DJ, Hudnell HK, Otto DA, Boyes WK. Work-site clinical and neurobehavioral assessment of solvent-exposed microelectronics workers. Am J Industr Med . 1995; 27: 677–698.
    OpenUrl
  42. ↵
    Greening J, Lynn B. Vibration sense in the upper limb in patients with repetitive strain injury and a group of at risk office workers. Int Arch Occup Environ Health . 1998; 71: 29–34.
    OpenUrlCrossRefPubMed
  43. ↵
    Nielson VK. The peripheral nerve in chronic renal failure IV: An analysis of the vibratory perception threshold. Acta Med Scand . 1972; 191: 287–296.
    OpenUrlPubMed
  44. ↵
    Tegner R, Lindholm B. Vibratory perception threshold compared with nerve conduction velocity in the evaluation of uremic neuropathy. Acta Neurol Scand . 1985; 71: 284–289.
    OpenUrlPubMed
  45. ↵
    Tegner R, Lindholm B. Thermal perception threshold compared with nerve conduction velocity in the evaluation of uremic neuropathy. Acta Neurol Scand . 1985; 71: 289–295.
    OpenUrl
  46. ↵
    Dyck PJ, Karnes J, O’Brien PC, Zimmerman JR. Detection thresholds of cutaneous sensation in humans. In: Dyck PJ, Thomas PK, Griffin JW, Low PA, Poduslo JF, eds. Peripheral Neuropathy. Philadelphia: WB Saunders, 1993: 706–728.
  47. ↵
    Krajewski KM, Lewis RA, Fuerst DR, et al. Neurological dysfunction and axonal degeneration in Charcot Marie Tooth disease type 1A. Brain . 2000; 123: 1516–1527.
    OpenUrlAbstract/FREE Full Text
  48. ↵
    Yarnitsky D, Sprecher E, Tamir A, et al. Variance of sensory threshold measurements: discrimination of feigners from trustworthy performers. J Neurol Sci . 1994; 125: 189–196.
    OpenUrl
  49. ↵
    Verdugo RJ, Ochoa JL. Use and misuse of conventional electrodiagnosis, quantitative sensory testing, thermography, and nerve blocks in the evaluation of painful neuropathic syndromes. Muscle Nerve . 1993; 16: 1056–1062.
    OpenUrlCrossRefPubMed

Letters: Rapid online correspondence

  • Reply to Letters to the Editor
    • Michael E Shy, Wayne State University Detroit MIm.shy@wayne.edu
    • Elliott M Frohman
    Submitted June 20, 2003
  • Quantitative sensory testing: Report of the Therapeutics and Technology Assessment
    • Peter James Dyck, Mayo Clinic and Mayo Foundation Rochester MNdyck.peter@mayo.edu
    • Peter C O'Brien
    Submitted June 20, 2003
  • Quantitative sensory testing: Report of the Therapeutics and Technology Assessment
    • Neil I Spielholz, University of Miami School of Medicine FLnspielholz@adelphia.net
    Submitted June 20, 2003
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