Enamel Hypoplasia Count Tool

Actual distinct independently assessed enamel-hypoplasiatooth tally. Hypoplasia versus hypomineralization/developmental defects requires clinical assessment, not automatic disease identification.

Description

Enamel hypoplasia counts require individually examined teeth and qualified findings.

Enamel hypoplasia counts require individually examined teeth and qualified findings.^[1]

Unknown tooth evidence is distinct from a known negative finding. Use this tool to calculate the stated observation or conditional model from supplied measurements.

When to use Enamel Hypoplasia Count Tool

Use this tool to calculate the stated observation or conditional model from supplied measurements. Establish the qualified examination or measurement context, matching instrument/protocol edition, site order and units.

How to use Enamel Hypoplasia Count Tool and understand its results

Establish the qualified examination or measurement context, matching instrument/protocol edition, site order and units.
Enter callerExaminedToothIds, independentlyQualifiedHypoplasiaFlags, toothEvidenceKnownFlags, using the field meanings and rules below, then run the tool.
Read result.knownHypoplasiaToothIds, result.knownHypoplasiaToothCount, result.unknownToothIds. Interpret each field using the units, signs and evidence rules below.
If input validation fails, correct the reported field and run again. Before applying a successful result, check the stated reference scope, units, assumptions and any retained unknown evidence.

Input field	Meaning	Value type	Requirement
callerExaminedToothIds	Caller examined tooth ids	list of string	Required
independentlyQualifiedHypoplasiaFlags	Independently qualified hypoplasia flags; binary 0/1 in the order documented below	list of number	Required
toothEvidenceKnownFlags	Tooth evidence known flags; 1 means known and 0 means unknown; keep the same item order	list of number	Required

Require nonempty unique nonblank examined tooth IDs, aligned binary hypoplasia and known flags. Return IDs and count where both flags are 1, and unknown IDs where known=0. No tooth diagnosis is inferred and unknown positive placeholders are excluded from known count.

knownHypoplasiaIds={id_i:known_i=1 and finding_i=1}; count=length(knownHypoplasiaIds)

Apply the field units and exact ordering, boundary and evidence rules above.

Output field	Meaning	Value type
result	Structured result containing the calculation or selected reference fields below	object
result.knownHypoplasiaToothIds	Known Hypoplasia Tooth Ids; use the units, sign convention and calculation stated above	list of string
result.knownHypoplasiaToothCount	Known Hypoplasia Tooth Count; use the units, sign convention and calculation stated above	number
result.unknownToothIds	Examined tooth IDs whose evidence is unknown	list of string

json

{
  "input": {
    "callerExaminedToothIds": [
      "11",
      "12",
      "13"
    ],
    "independentlyQualifiedHypoplasiaFlags": [
      1,
      0,
      1
    ],
    "toothEvidenceKnownFlags": [
      1,
      1,
      0
    ]
  },
  "output": {
    "result": {
      "knownHypoplasiaToothIds": [
        "11"
      ],
      "knownHypoplasiaToothCount": 1,
      "unknownToothIds": [
        "13"
      ]
    }
  }
}

Limitations and assumptions

Unknown tooth evidence is distinct from a known negative finding. Results depend on the independently established measurement basis and the exact model assumptions above.

Every listed input requires an explicit value. Unexpected fields, incorrect value types, nonfinite numbers and sparse numeric arrays fail validation; tool-specific bounds and alignment rules apply as described above. Extremely large inputs or outputs can also be rejected. An input error is distinct from a successful calculation that reports a false comparison or retains unknown evidence.

Alternative or Complementary methods

Use DMFT Index Calculator to examine a related aspect: DMFT counts decayed, missing due to caries and filled permanent teeth.

Use DEF Index Calculator where its separate inputs and scope apply: The primary-tooth def inventory distinguishes decay, indicated extraction and filling.

References

Enamel Hypoplasia Count Tool — tool.io

Similar or alternative tools

DMFT Index Calculator
DMFT counts decayed, missing due to caries and filled permanent teeth.
DEF Index Calculator
The primary-tooth def inventory distinguishes decay, indicated extraction and filling.