White Matter Hyperintensity Volume Calculator
Actual independently classified nonoverlapping WMHlesion-volume ledger with unknown lesion evidence retained, not generic raw-voxel lesion volume, automatic image segmentation or infer vascular etiology.
Description
White-matter hyperintensity volume depends on independently classified and segmented lesions.
White-matter hyperintensity volume depends on independently classified and segmented lesions.1
Known-volume totals must retain lesions whose evidence is unresolved.
When to use White Matter Hyperintensity Volume Calculator
Use this tool to calculate or review the supplied observations under the stated rules. Establish the assessment or recording protocol, units, instrument version and independently applicable reference or calibration.
How to use White Matter Hyperintensity Volume Calculator and understand its results
- Establish the assessment or recording protocol, units, instrument version and independently applicable reference or calibration.
- Enter callerIndependentlyClassifiedWmhLesionIds, independentlySegmentedLesionVolumesMl, lesionEvidenceKnownFlags, using the field meanings and rules below, then run the tool.
- Read result.observedKnownWmhVolumeMl, result.knownWmhLesionIds, result.unknownWmhLesionIds. Use the units and sign conventions below. Review unresolved records and any possible bounds separately from known results.
- Correct any reported input issue and run again. Before using a successful result, check the stated units, signs, reference scope and observation coverage.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| callerIndependentlyClassifiedWmhLesionIds | Caller independently classified wmh lesion ids | list of string | Required |
| independentlySegmentedLesionVolumesMl | Independently segmented lesion volumes ml | list of number | Required |
| lesionEvidenceKnownFlags | Lesion evidence known flags; binary 1 means the matched observation is known, 0 means unknown | list of number | Required |
Require unique nonblank lesion IDs with aligned nonnegative segmented volumes and binary known flags. Sum volumes only where known=1 and return known/unknown IDs separately. All unknown returns known volume zero with unresolved IDs; unknown placeholders must still be nonnegative.
knownVolumeMl=Σ(volumeMl_i×known_i) Use the matching field units and the exact boundary, ordering and reference rules above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Structured result; its nested fields below contain the actual calculation or selected reference | object |
| result.observedKnownWmhVolumeMl | Observed Known Wmh Volume Ml | number |
| result.knownWmhLesionIds | Known Wmh Lesion Ids | list |
| result.unknownWmhLesionIds | Unknown Wmh Lesion Ids; unresolved records kept separate from known results | list |
{
"input": {
"callerIndependentlyClassifiedWmhLesionIds": [
"a",
"b",
"c"
],
"independentlySegmentedLesionVolumesMl": [
1,
2,
3
],
"lesionEvidenceKnownFlags": [
1,
1,
0
]
},
"output": {
"result": {
"observedKnownWmhVolumeMl": 3,
"knownWmhLesionIds": [
"a",
"b"
],
"unknownWmhLesionIds": [
"c"
]
}
}
} Limitations and assumptions
Actual acquisition, assessment protocol, instrument version and calibration determine applicability. The tool does not examine a person, classify images, administer a questionnaire or choose diagnostic cutoffs.
Missing required fields, unknown fields, wrong types and violated rules return input issues. Numeric values and outputs must be finite. Lists and matrices must be dense, without missing cells. Numeric lists allow at most 10000 entries; ordinary string lists allow at most 128 strings of 128 UTF-16 units each; numeric matrices allow at most 128 rows and 128 columns, subject to narrower requirements above. Extremely large composite outputs are rejected.
Alternative or Complementary methods
For a related step, use Fazekas White Matter Lesion Calculator: Fazekas ratings record independently assessed white-matter lesion findings in distinct components. For a complementary comparison, use Scheltens Medial Temporal Atrophy Calculator: Scheltens medial-temporal atrophy ratings depend on an applicable visual-rating reference.
References
Similar or alternative tools
- Fazekas White Matter Lesion Calculator
Fazekas ratings record independently assessed white-matter lesion findings in distinct components.
- Scheltens Medial Temporal Atrophy Calculator
Scheltens medial-temporal atrophy ratings depend on an applicable visual-rating reference.