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Model-Based Prediction of Motor Scores From Sensory Scores in the International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI): Implications on Motor Levels in Segments Without Clinically Testable Key Muscles

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064203%3A_____%2F25%3A10501058" target="_blank" >RIV/00064203:_____/25:10501058 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11130/25:10501058

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=eBF_L8wcZP" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=eBF_L8wcZP</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.46292/sci25-00012" target="_blank" >10.46292/sci25-00012</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Model-Based Prediction of Motor Scores From Sensory Scores in the International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI): Implications on Motor Levels in Segments Without Clinically Testable Key Muscles

  • Original language description

    BACKGROUND: In the International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI), motor levels are inferred from sensory levels for high cervical, thoracic, and low sacral injuries, as key muscles are only assessed in upper and lower extremities. This is known as the &quot;motor follows sensory level&quot; rule. OBJECTIVES: To develop regression models for estimating motor scores from sensory scores in segments without clinically testable key muscles and to validate the consensus-based &quot;motor follows sensory level&quot; approach. METHODS: A total of 6940 ISNCSCI examinations from the European Multicenter Study about Spinal Cord Injury were reviewed. Multiple linear and random forest regression models were trained on scores in clinically testable segments to predict motor from sensory scores of the same spinal segment and side. Models based on ipsilateral light touch or pinprick scores alone, as well as all bilateral sensory scores, were also evaluated. Predicted motor scores were used to recalculate motor levels for the segments without clinically testable key muscles and compared to the true motor levels. RESULTS: The ipsilateral regression models showed minimal differences (R (2) 0.64-0.65; RMSE 1.34). Normal motor scores were predicted only for normal sensory function; in the linear model, this was captured by the equation: motor score = 0.18 + 1.22 * light touch score + 0.96 * pinprick score. Model-based motor levels were shifted caudally 0.18 segments (linear regression) and 0.32 segments (random forest regression). CONCLUSION: As models predict normal motor function only for normal sensory scores, predicted motor levels deviate only marginally, supporting the &quot;motor follows sensory level&quot; rule.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30306 - Sport and fitness sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Topics in Spinal Cord Injury Rehabilitation

  • ISSN

    1082-0744

  • e-ISSN

    1945-5763

  • Volume of the periodical

    31

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    11

  • Pages from-to

    129-139

  • UT code for WoS article

    001561548400011

  • EID of the result in the Scopus database

    2-s2.0-105015015953