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PubMed · 14564778

[Diagnostic algorithm for upper extremity peripheral paresis].

V Ia Neretin·M A Iakushin
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Abstract

The authors have rejected applying of image identification algorithms and searching for given sequence in favor of algorithms sorting, eliminating thereby an influence of subjective factors on diagnostic process. To create the program, the diagnostic signs with probability coefficient 1 (positive indicator) or 0 (negative indicator) were used. To positive signs were attributed indicator muscles and indicator sensitive zones--the cutaneous areas where sensitive disorders appeared in the first turn, in response to a lesion in corresponding segment of peripheral nervous system, and disappeared in the last turn; to negative ones--muscles or cutaneous areas, being never affected by paresis or hyperesthesia in response to the given lesion type. The first part of the algorithm concerns a definition of defect level and the second one--an establishment of final diagnosis. The use of the algorithm developed simplifies diagnostics and raises its efficacy.

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V Ia Neretin, M A Iakushin. 2003. [Diagnostic algorithm for upper extremity peripheral paresis].. https://pubmed.ncbi.nlm.nih.gov/14564778/

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