MétaCan
Menu
Back to cohort

Validity Of Ultrasound Device To Measure Bone Mineral Density At 1/3Rd Radius Position In Females

2024· article· en· W4402556167 on OpenAlexaffabout
Jessica L. Puranda

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2024
Typearticle
Languageen
FieldMedicine
TopicBody Composition Measurement Techniques
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMeasure (data warehouse)Position (finance)Bone mineralRADIUSUltrasoundOrthodonticsAcousticsMedicinePhysicsComputer scienceData miningOsteoporosisInternal medicineEconomics

Abstract

fetched live from OpenAlex

TITLE: Validity of ultrasound device to measure bone mineral density at 1/3rd radius position in females AUTHORS: Jessica L. Puranda1, Chris M. Edwards1, Vinicius M.R. Weber2, Mohamed Aboudlal1, Kevin Semeniuk1, Kristi B. Adamo1* 1University of Ottawa, Ottawa, Canada2Midwest State University of Paraná, Guarapuava, PR, Brazil ABSTRACT: Osteoporosis impacts a large portion of the population, particularly among female individuals. Dual energy x-ray absorptiometry (DXA) is the gold standard method for measuring bone mineral density (BMD); however, DXA is costly, immobile, and exposes individuals to radiation. PURPOSE: This study aims to examine the validity and reliability of the UltraScan650™, a portable ultrasound device used to measure BMD at the 1/3rd radius position. METHODS: Fifty-two female first responders and healthcare providers were assessed using DXA (forearm, femur, lumbar and total body) and the UltraScan650™. Fat and lean mass were also assessed using the DXA. Pearson correlations, Bland-Altman plots, t-tests, and linear regressions were used to assess validity. Intra-class correlation (ICC) coefficients assessed reliability. RESULTS: Inter-rater reliability and repeatability was good (ICC = 0.896 (0.818; 0.942), p < 0.001) and excellent (ICC = 0.917 (0.785; 0.989), p < 0.001), respectively. BMD as measured by the UltraScan650™ was weakly correlated to the DXA [r = 0.382 (0.121; 0.593), p = 0.0052]. Bland-Altman plots revealed that the UltraScan650™ underestimated (-0.0569 g/cm2) BMD, this was confirmed with a significant paired t-test (p < 0.001). A linear regression was performed [0.4744*UltraScan650™ + 0.4170] to provide more information as to the issue of agreement. Bland-Altman plots revealed a negligible bias, supported by a paired t-test (p = 0.9978). Pearson’s correlation revealed a significant relationship [r = -0.771 (-0.862; -0.631), p < 0.0001] between adjusted UltraScan650™ - DXA and the average of the two scans (i.e., adjusted UltraScan650™ and DXA), suggesting a proportional constant error and proportional constant variability in measurements of BMD from the UltraScan650™. CONCLUSION: The UltraScan650™ is not a valid alternative to the DXA for diagnostic purposes; however, the UltraScan650™ could be used as a screening tool in the clinical and research setting. Canadian Graduate Scholarship - Doctoral (189307)

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score0.934

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.047
GPT teacher head0.318
Teacher spread0.272 · 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 teacher head, 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

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueMedicine & Science in Sports & ExerciseSame topicBody Composition Measurement TechniquesFrench-language works237,207