Thermographic observations in unilateral carpal tunnel syndrome: Report of 61 cases

Tchou, Sheng; Costich, Julia F.; Burgess, Ronald C.; Wexler, Charles

doi:10.1016/0363-5023(92)90306-a

Cited by 29 publications

(26 citation statements)

References 11 publications

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“…Consistent with other studies, the present study clearly demonstrated the validity of this hypothesis (Table 4). 5,6,25 In addition, it was ascertained that palmar segments are of no use when using IRT to diagnose CTS.…”

Section: Cts Correctly Cts Incorrectly Classification Runmentioning

confidence: 99%

Infrared Thermography Based on Artificial Intelligence as a Screening Method for Carpal Tunnel Syndrome Diagnosis

et al. 2009

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This study further evaluated a computerbased infrared thermography (IRT) system, which employs artificial neural networks for the diagnosis of carpal tunnel syndrome (CTS) using a large database of 502 thermal images of the dorsal and palmar side of 132 healthy and 119 pathological hands. It confirmed the hypothesis that the dorsal side of the hand is of greater importance than the palmar side when diagnosing CTS thermographically. Using this method it was possible correctly to classify 72.2% of all hands (healthy and pathological) based on dorsal images and > 80% of hands when only severely affected and healthy hands were considered. Compared with the gold standard electromyographic diagnosis of CTS, IRT cannot be recommended as an adequate diagnostic tool when exact severity level diagnosis is required, however we conclude that IRT could be used as a screening tool for severe cases in populations with high ergonomic risk factors of CTS.

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Section: Cts Correctly Cts Incorrectly Classification Runmentioning

confidence: 99%

Infrared Thermography Based on Artificial Intelligence as a Screening Method for Carpal Tunnel Syndrome Diagnosis

et al. 2009

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“…Digital images coupled with computer processing and storage allow for dynamic realtime analysis. Thermography for distinguishing between normal subjects and those with various UEMSDs has proved promising (Tchou et al 1992;Coughlin et al 1999;Schuhfried et al 2000). In comparing patients with diffuse forearm pain to controls, Sharma et al (1997) found mean temperature differences after, but not before, a 5-min typing challenge in the second through fourth proximal phalanges.…”

Section: Introductionmentioning

confidence: 97%

Infrared thermography for examination of skin temperature in the dorsal hand of office workers

2004

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Reduced blood flow may contribute to the pathophysiology of upper extremity musculoskeletal disorders (UEMSD), such as tendinitis and carpal tunnel syndrome. The study objective was to characterize potential differences in cutaneous temperature, among three groups of office workers assessed by dynamic thermography following a 9-min typing challenge: those with UEMSD, with ( n=6) or without ( n=10) cold hands exacerbated by keyboard use, and control subjects ( n=12). Temperature images of the metacarpal region of the dorsal hand were obtained 1 min before typing, and during three 2-min sample periods [0-2 min (early), 3-5 min (middle), and 8-10 min (late)] after typing. Mean temperature increased from baseline levels immediately after typing by a similar magnitude, 0.7 (0.3) degrees C in controls and 0.6 (0.2) degrees C in UEMSD cases without cold hands, but only by 0.1 (0.3) degrees C in those with cold hands. Using paired t-tests for within group comparisons of mean dorsal temperature between successive imaging periods, three patterns of temperature change were apparent during 10 min following typing. Controls further increased mean temperature by 0.1 degrees C ( t-test, P=0.001) at 3-5 min post-typing before a late temperature decline of -0.3 degrees C ( t-test, P=0.04), while cases without cold hands showed no change from initial post-typing mean temperature rise during middle or late periods. In contrast, subjects with keyboard-induced cold hands had no change from initial post-typing temperature until a decrease at the late period of -0.3 degrees C ( t-test, P=0.06). Infrared thermography appears to distinguish between the three groups of subjects, with keyboard-induced cold hand symptoms presumably due, at least partially, to reduced blood flow.

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“…Thermograms were considered abnormal, if at least 25% of distal median area was affected by temperature increase by more than 1°C. They have noted 93% sensitivity and 98% specificity of the thermographic method in impaired MN in the carpal tunnel, but only in the case of unilateral CTS (Tchou et al, 1992). Our study also includes use of artificial intelligence, because we wanted to avoid the provocation cold stress test and manual interpretation of thermograms.…”

Section: Cold Pattern Ii: Somatosympathetic Reflex Vasoconstriction;mentioning

confidence: 99%

“…Herrick, 1987;Schartelmüller & Ammer, 1996;Tchou et al, 1992). There is a generally accepted opinion that thermography is not appropriate for routine diagnostics of CTS and other entrapment neuropathies, as they predominantly affect thick myelinated fibres, while thermography (indirectly through the arrangement of temperature changes) enables only an assessment of the functional status of thin, mostly unmyelinated, nociceptor and sympathetic, vasomotor nerve fibres (Rosenbaum & Ochoa, 2002).…”

Section: Introductionmentioning

confidence: 99%

“…For this reason numerous researches, not only in the field of medicine, are looking for a non-invasive diagnostic method for determining those loads in workplaces that facilitate the development of CTS (Ammer, 1999(Ammer, , 2003; R.T. Herrick & S.K. Herrick, 1987;Schartelmüller & Ammer, 1996;Tchou et al, 1992). Intelligent systems have turned out to be useful and successful aids in medicine for determining, classifying, sample searching, data analysis, and new knowledge discovery (Haas & Burnham, 2008).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

EMG vs. Thermography in Severe Carpal Tunnel Syndrome

Papež¹,

Palfy²

2012

EMG Methods for Evaluating Muscle and Nerve Function

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Thermographic observations in unilateral carpal tunnel syndrome: Report of 61 cases

Cited by 29 publications

References 11 publications

Infrared Thermography Based on Artificial Intelligence as a Screening Method for Carpal Tunnel Syndrome Diagnosis

Infrared Thermography Based on Artificial Intelligence as a Screening Method for Carpal Tunnel Syndrome Diagnosis

Infrared thermography for examination of skin temperature in the dorsal hand of office workers

EMG vs. Thermography in Severe Carpal Tunnel Syndrome

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