Ultrasonography Diagnostic Accuracy for Neural Thickening in 232 Cases

232 cases form the basis for evaluating the sensitivity, specificity, and accuracy of neural thickening diagnosis via ultrasonography. The dataset, created by Jaqueline da Silva Mendes, is a small 5.5 KB Excel file last updated in April 2026. It likely contains tabular performance metrics comparing different evaluators' assessments against a diagnostic standard.

Use Cases

• Benchmarking diagnostic performance of ultrasonography based on sensitivity and specificity metrics.
• Comparing inter-evaluator agreement for neural thickening diagnosis.
• Training or validating classification models for medical image interpretation based on aggregated diagnostic statistics.

Strengths

• Dataset is openly licensed under CC-BY-4.0, permitting broad reuse.
• Provides a specific sample size of 232 cases for analysis.
• Last update timestamp (2026-04-21) is provided for recency assessment.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The 5.5 KB size indicates a very limited scope, likely containing summary statistics rather than raw case data.
• Description metadata is minimal; data collection methodology and geographic context are unspecified.

Provenance

Source

figshare

Collection Method

Likely derived from a clinical study evaluating ultrasonography diagnostic performance.

Time Range

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Freshness

Last updated 2026-04-21 17:47:33.

Geography

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