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Record W2151933067 · doi:10.1109/ultsym.2004.1418272

Variability of three-dimensional high-frequency ultrasound measurements of small tumor volumes

2005· article· en· W2151933067 on OpenAlexaff
Lauren A. Hastie, Kevin C. Graham, A. C. Groom, Ian C. MacDonald, Ann F. Chambers, Aaron Fenster, James C. Lacefield

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicUltrasound Imaging and Elastography
Canadian institutionsWestern University
FundersNational Institutes of Health
KeywordsUltrasoundHigh frequency ultrasoundCoefficient of variationMetastasisMelanomaVolume (thermodynamics)MedicineNuclear medicineRadiologyInternal medicineCancerMathematicsCancer researchPhysicsStatistics

Abstract

fetched live from OpenAlex

The intraobserver variability in volume measurements of small (less than 2 mm/sup 3/) tumors using three-dimensional high-frequency ultrasound has been assessed in two murine liver metastasis models. The maximum coefficient of variation was 10.7% for five B16F1 murine melanoma liver metastases and 18.2% for seven HT-29 human colon carcinoma liver metastases. The intraobserver variability was small compared to the tumor growth measured at two-day intervals in the rapidly progressing B16F1 model. However, the maximum measurement variability was comparable to the four-day growth rate in the slowly progressing HT-29 model.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.240
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2005
Admission routes1
Has abstractyes

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