What are the sensitivity, specificity, positive predictive value, negative predictive value, overall diagnostic accuracy, ROC curve with area under the curve, and Youden index for the HMDR (High‑Resolution Diagnostic Radiography) test?

Medical Advisory BoardAll articles are reviewed for accuracy by our Medical Advisory Board
Educational purpose only • Exercise caution as content is pending human review
Article Review Status
Submitted
Under Review
Approved

Last updated: October 2, 2026 • View editorial policy

Have a follow-up question?

Our Medical A.I. is used by practicing medical doctors at top research institutions around the world. Ask any follow up question and get world-class guideline-backed answers instantly.

Diagnostic Accuracy Parameters for HMDR

The provided evidence does not contain any specific data on HMDR (High-Resolution Diagnostic Radiography) diagnostic accuracy parameters, making it impossible to report actual sensitivity, specificity, PPV, NPV, diagnostic accuracy, ROC/AUC values, or Youden index for this test.

Understanding the Requested Metrics

Since no HMDR-specific data exists in the evidence, I can explain what these parameters mean and how they should be interpreted when such data becomes available:

Sensitivity and Specificity

  • Sensitivity measures the proportion of truly diseased patients correctly identified by the test (true positive rate) 1
  • Specificity measures the proportion of truly healthy patients correctly identified as disease-free (true negative rate) 1
  • These are the fundamental validity metrics for any diagnostic test and remain constant regardless of disease prevalence 2

Predictive Values

  • Positive Predictive Value (PPV): Among patients with a positive test, the proportion who actually have the disease 1
  • Negative Predictive Value (NPV): Among patients with a negative test, the proportion who are truly disease-free 1
  • Critical caveat: Predictive values vary with disease prevalence and can be easily misinterpreted 1, 3

Overall Diagnostic Accuracy

  • Represents the proportion of all patients (both diseased and healthy) correctly classified by the test 2
  • Calculated from the 2×2 contingency table containing true positives, true negatives, false positives, and false negatives 4, 1

ROC Curve and AUC

  • ROC curves plot sensitivity (y-axis) against 1-specificity (x-axis) across all possible cutoff thresholds 4, 5
  • AUC values range from 0.5 (no better than chance) to 1.0 (perfect discrimination) 6
  • AUC >0.80 is considered clinically useful, while values <0.80 have limited clinical utility 6
  • Curves approaching the coordinate (0,1) indicate higher predictive accuracy 4

Youden Index

  • Formula: J = Sensitivity + Specificity - 1 4, 6
  • Identifies the optimal cutoff value that maximizes both sensitivity and specificity 6
  • Corresponds to the point where the minimum distance line crosses the ROC curve 4

Available Comparative Data

The only radiographic diagnostic accuracy data in the evidence relates to chest radiography for interstitial lung disease (not HMDR), which showed sensitivity 65.5%, specificity 20%, PPV 90%, NPV 5%, diagnostic accuracy 61.66%, and Youden index 0.145 7. This demonstrates poor diagnostic performance and is not applicable to HMDR.

To obtain the requested HMDR diagnostic parameters, you need primary research data comparing HMDR results against a gold standard reference test in your specific patient population.

Professional Medical Disclaimer

This information is intended for healthcare professionals. Any medical decision-making should rely on clinical judgment and independently verified information. The content provided herein does not replace professional discretion and should be considered supplementary to established clinical guidelines. Healthcare providers should verify all information against primary literature and current practice standards before application in patient care. Dr.Oracle assumes no liability for clinical decisions based on this content.