Cribra Orbitalia Grade Score

Independently observed orbital porosity lesion coverage against caller protocol grade bands; not anemia, nutritional diagnosis or lesion origin. Missing evidence retained as explicit indices, not confirmed zero margin. Caller independently establishes sample/context/calibration applicability; not definitive chronology, provenance, taxonomy, disease or human identity.

Description

Orbital-lesion assessment depends on observed morphology and an explicit grading protocol.

Orbital-lesion assessment depends on observed morphology and an explicit grading protocol.^[1]

Comparing supplied bands does not diagnose a cause or install a universal lesion grade. Use Cribra Orbitalia Grade Score to compare known observations with supplied bands.

When to use Cribra Orbitalia Grade Score

Use Cribra Orbitalia Grade Score to compare known observations with supplied bands. Choose independently established criterion bands in consistent units and mark unassessed observations with known flag 0.

How to use Cribra Orbitalia Grade Score and understand its results

Choose independently established criterion bands in consistent units and mark unassessed observations with known flag 0.
Enter Observed observed orbital lesion coverage, Caller observed orbital lesion coverage lower, Caller observed orbital lesion coverage upper, Known observed orbital lesion coverage flags using the field table and validation rules below, then run the tool.
Read Signed known margins, Known review indices, Unknown indices; interpret the units, signs, ordering and unknown-value placeholders described below.
Correct reported input errors and rerun. Apply successful results according to their specific meanings and check the assumptions before using them in a decision.

Input field	Meaning	Value type	Requirement
observedObservedOrbitalLesionCoverage	Observed observed orbital lesion coverage	array of number	Required; constraints below
callerObservedOrbitalLesionCoverageLower	Caller observed orbital lesion coverage lower	array of number	Required; constraints below
callerObservedOrbitalLesionCoverageUpper	Caller observed orbital lesion coverage upper	array of number	Required; constraints below
knownObservedOrbitalLesionCoverageFlags	Known observed orbital lesion coverage flags	array of number	Required; constraints below

Provide aligned nonempty arrays of observations, lower limits, upper limits and known flags. All numbers must be finite, each lower limit must not exceed its upper limit, and flags must be 0 or 1. Known criteria receive min(observation−lower, upper−observation); a negative margin requests review, while equality is inside the band. Unknown criteria receive a zero placeholder and are listed separately. Review and unknown indices are zero based and retain input order. Limits and their applicable units come from the caller, rather than an installed assessment scale.

known margin = min(observation−lower, upper−observation); unknown margin = 0 placeholder

Use the field order, units and branch conditions described above.

Output field	Meaning	Value type
signedKnownMargins	Distance to the closer inclusive band limit; negative means outside; unknown entries use zero placeholders.	array of number
knownReviewIndices	Zero-based known-criterion indices strictly outside inclusive bands.	array
unknownIndices	Zero-based indices marked unknown; their zero margins are placeholders.	array of number

json

{
  "input": {
    "observedObservedOrbitalLesionCoverage": [
      2,
      5
    ],
    "callerObservedOrbitalLesionCoverageLower": [
      1,
      1
    ],
    "callerObservedOrbitalLesionCoverageUpper": [
      3,
      4
    ],
    "knownObservedOrbitalLesionCoverageFlags": [
      1,
      0
    ]
  },
  "output": {
    "signedKnownMargins": [
      1,
      0
    ],
    "knownReviewIndices": [],
    "unknownIndices": [
      1
    ]
  }
}

Limitations and assumptions

Comparing supplied bands does not diagnose a cause or install a universal lesion grade. Apply the exact scope and assumptions explained above.

All listed fields require explicit values. Unexpected fields, incorrect types, nonfinite numbers and sparse arrays fail validation. Domain-specific bounds, alignments and supported tokens are explained above; extremely large inputs or outputs can also be rejected. Input errors differ from successful false results, empty match lists and unknown-evidence placeholders.

Alternative or Complementary methods

Use Mandibular Gonial Angle Measurement Tool for a related task: A gonial-angle measurement depends on independently defined rays and a measurement plane.

Use Green/Dry Bone Fracture Velocity Classifier for a related task: Fracture-state interpretation depends on independently observed features and a rule set.

References

Cribra Orbitalia Grade Score — tool.io

Similar or alternative tools

Mandibular Gonial Angle Measurement Tool
A gonial-angle measurement depends on independently defined rays and a measurement plane.
Green/Dry Bone Fracture Velocity Classifier
Fracture-state interpretation depends on independently observed features and a rule set.