Aspiration Test Checker

Actual aspiration finding evidence screen; absence of visible blood is not guaranteed extravascular position or permission to inject. Actual independently established feature columns: actual aspiration blood evidence observed, actual technique/equipment context documented. Unknown and overlapping candidates retained, not automatic diagnosis, causation, predicted performance or safety approval.

Description

Aspiration findings are evidence observed during a specified injection assessment.

Aspiration findings are evidence observed during a specified injection assessment.^[1]

Absence of visible blood does not by itself establish an extravascular position. Use this tool to compare independently annotated known features with fixed candidate rules.

When to use Aspiration Test Checker

Use this tool to compare independently annotated known features with fixed candidate rules. Establish the qualified examination or measurement context, matching instrument/protocol edition, site order and units.

How to use Aspiration Test Checker and understand its results

Establish the qualified examination or measurement context, matching instrument/protocol edition, site order and units.
Enter independentlyObservedFeatureFlags, featureKnownFlags, using the field meanings and rules below, then run the tool.
Read result.compatibleClasses, result.witnessedClasses, result.unknownFeatureIndices. 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
independentlyObservedFeatureFlags	Independently observed feature flags; binary 0/1 in the order documented below	list of number	Required
featureKnownFlags	Feature known flags; 1 means known and 0 means unknown; keep the same item order	list of number	Required

Enter binary observed and known flags in the exact column order below. A known mismatch with a constrained rule excludes a candidate; unknown constrained evidence leaves it compatible but prevents full witnessing. A −1 rule ignores that column, including unknown evidence there. Return all compatible and witnessed candidates and zero-based unknown indices, preserving overlap. The comparison records supplied evidence without inferring facts, identity, diagnosis or legal status.

Zero-based column	Observed feature
0	Actual aspiration blood evidence observed
1	Actual technique/equipment context documented

Candidate	Actual aspiration blood evidence observed	Actual technique/equipment context documented
positive-aspiration-evidence	Known present (1)	Known present (1)

compatible_c=no known constrained mismatch; witnessed_c=all constrained features known and matching; ignored columns impose no condition

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.compatibleClasses	All candidates consistent with known features; may include candidates with missing evidence	list of string
result.witnessedClasses	Candidates with all required feature constraints actually known and satisfied	list of string
result.unknownFeatureIndices	Zero-based positions of unknown features	list of values

json

{
  "input": {
    "independentlyObservedFeatureFlags": [
      1,
      1
    ],
    "featureKnownFlags": [
      1,
      1
    ]
  },
  "output": {
    "result": {
      "compatibleClasses": [
        "positive-aspiration-evidence"
      ],
      "witnessedClasses": [
        "positive-aspiration-evidence"
      ],
      "unknownFeatureIndices": []
    }
  }
}

Limitations and assumptions

Feature and criterion flags are independent annotations. Unknown evidence remains unknown; matching rules do not establish a diagnosis, cause, prediction or approval.

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 PDL Injection Volume Calculator to examine a related aspect: Recorded periodontal-ligament injection volumes can be summed as an administered-volume inventory.

Use Intraligamentary Pressure Checker where its separate inputs and scope apply: An intraligamentary pressure measurement has a device, protocol and unit basis.

References

Aspiration Test Checker — tool.io

Similar or alternative tools

PDL Injection Volume Calculator
Recorded periodontal-ligament injection volumes can be summed as an administered-volume inventory.
Intraligamentary Pressure Checker
An intraligamentary pressure measurement has a device, protocol and unit basis.