The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Quantification of thermal asymmetry: Part 1: Normal values and reproducibility
Abstract
✓ The use of thermography in evaluating nerve injury is based on the presence of temperature asymmetries between the involved area of innervation and the corresponding area on the opposite side of the body. However, interpretation of the thermographic image has been troubled by subjectivity. This paper describes a computer-calculated method of collecting data that eliminates subjective biases. Comprehensive normative data are presented on the degree of thermal asymmetry in the human body. The degree of thermal asymmetry between opposite sides of the body (ΔT) is very small. For example, the value of AT for the forehead (mean ± standard deviation) was 0.18° ± 0.18°C, for the leg it was 0.27° ± 0.2°C, and for the foot it was 0.38° ± 0.31°C. These values were reproducible in both short- and long-term follow-up measurements over a period of 5 years. The ΔT's reported here were obtained from 40 matched regions of the body surface of 90 asymptomatic normal individuals. These values can be used as a standard in assessment of sympathetic nerve function, and the degree of asymmetry is a quantifiable indicator of dysfunction.
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Cites
A Coefficient of Agreement for Nominal Scales
Cohen, J. (1960) · Educational and Psychological Measurement · doi:10.1177/001316446002000104 · Cited by 42,398
Current Problems of Lower Vertebrate Phylogeny
Romanes, G. J. (1969) · Journal of Anatomy · Cited by 1,830
Correlative Anatomy of the Nervous System
Crosby, E. C., Humphrey, T., Lauer, E. W., & Kappers, J. A. (1962) · Biblioteca Digital (Real Academia Nacional de Medicina) · Cited by 844
WIESEL, S. W., TSOURMAS, N., FEFFER, H. L., CITRIN, C. M., & PATRONAS, N. (1984) · Spine · doi:10.1097/00007632-198409000-00003 · Cited by 720
Somatosympathetic reflexes: afferent fibers, central pathways, discharge characteristics.
Sato, A., & Schmidt, R. F. (1973) · Physiological Reviews · doi:10.1152/physrev.1973.53.4.916 · Cited by 506
The segmental distribution of the cutaneous nerves in the limbs of man
Keegan, J. J., & Garrett, F. D. (1948) · The Anatomical Record · doi:10.1002/ar.1091020403 · Cited by 266
Thermographic imaging of cutaneous sensory segment in patients with peripheral nerve injury
Uematsu, S. (1985) · Journal of neurosurgery · doi:10.3171/jns.1985.62.5.0716 · Cited by 120
Self-citationSympathetic Activation of A-Delta Nociceptors
Roberts, W. J., & Elardo, S. M. (1985) · Somatosensory Research · doi:10.3109/07367228509144575 · Cited by 106
Normal thermographic standards for the cervical spine and upper extremities
Feldman, F., & Nickoloff, E. L. (1984) · Skeletal Radiology · doi:10.1007/bf00349505 · Cited by 87
Brelsford, K. L., & Uematsu, S. (1985) · Journal of neurosurgery · doi:10.3171/jns.1985.62.5.0711 · Cited by 45
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Classification of factors influencing the use of infrared thermography in humans: A review
Fernández-Cuevas, I., Bouzas Marins, J. C., Arnáiz Lastras, J., Gómez Carmona, P. M., Piñonosa Cano, S., García-Concepción, M. Á., & Sillero-Quintana, M. (2015) · Infrared Physics & Technology · doi:10.1016/j.infrared.2015.02.007 · Cited by 586
McCabe, C. S. (2002) · Rheumatology · doi:10.1093/rheumatology/keg041 · Cited by 507
Infrared camera assessment of skin surface temperature—Effect of emissivity
Bernard, V., Staffa, E., Mornstein, V., & Bourek, A. (2013) · Physica Medica · doi:10.1016/j.ejmp.2012.09.003 · Cited by 177
Temperature asymmetry and behavior
Kagan, J., Snidman, N. C., & Peterson, E. (2000) · Developmental Psychobiology · doi:10.1002/1098-2302(200011)37:3<186::aid-dev6>3.0.co;2-g · Cited by 6
Metadata
- Authors
- Uematsu, S., Edwin, D. H., Jankel, W. R., Kozikowski, J., & Trattner, M.
- Venue
- Journal of Neurosurgery
- Published
- 1988-10
- Volume
- 69
- Issue
- 4
- Pages
- 552-555
- ISSN
- 0022-3085 (ISSN-L)
- OpenAlex
- W1594292351
- Cited by
- 252
- References
- 11
- FWCI
- 3.89
- Type
- journal article
- Language
- en
- Open access
- closed
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- Uematsu, S., Edwin, D. H., Jankel, W. R., Kozikowski, J., & Trattner, M. (1988). Quantification of thermal asymmetry: Part 1: Normal values and reproducibility. Journal of Neurosurgery. https://doi.org/10.3171/jns.1988.69.4.0552
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.