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Record W2319415011 · doi:10.1016/j.pmrj.2012.09.857

Poster 240 Using Ultrasonography to Diagnose Chronic Exertional Compartment Syndrome

2012· article· en· W2319415011 on OpenAlexaff
Sathish Rajasekaran, Abdel‐Rahman Aly, R. Cole Beavis, Nadine Kanigan, Dave Leswick

Bibliographic record

VenuePM&R · 2012
Typearticle
Languageen
FieldMedicine
TopicMuscle and Compartmental Disorders
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCitationMedicineLibrary scienceComputer science

Abstract

fetched live from OpenAlex

S. Rajasekaran, No Disclosures. To test the hypotheses that CECS patients have an increased anterior compartment thickness (ultrasonography) than controls and an increased estimated compliance compared to non-CECS patients. Prospective, comparative study. Radiology department. Six subjects (three females and three males) with exertional leg pain and 10 controls. Our ultrasonography technique was validated with a precision phase (10 controls) prior to scanning study patients. Subjects first ran on a treadmill until symptomatic (≥5 minutes) using a standardized protocol. Anterior compartment thickness (ultrasonography), and anterior compartment pressures were measured prior to exercise and at scheduled intervals afterwards. Controls (N=10) underwent the same regimen without needle testing (10 minutes on treadmill, same protocol). Anterior compartment pressure, percentage changes in anterior compartment thickness, and estimated compliance. The diagnosis of CECS was made based upon standard compartment pressure thresholds. The Wilcoxon rank sum test was used to analyze our data. Mean percentage changes in anterior compartment thickness from rest in CECS (N=4) and controls (N=9) were 21.3±9.0% vs 6.3±8.1% at 0.5 minutes (P=.01), 24.6±8.7% vs 4.2±7.9% at 2.5 minutes (P=.003), and 24.9±6.7% vs 5.1±7.7% at 4.5 minutes (P=.003), respectively. Compartment pressures (mmHg±SD) in CECS and non-CECS patients were 21.5±2.7 vs 10±1.5 at rest, 38.3±5.0 vs 23±3.2 at 1 minute and 34.5±4.4 vs 20±2.1 at 3 minutes (P=.06), respectively; Estimated compliances [change in width (cm) over change in pressure] were 3.6x10-2±1.6x10-2 vs 3.0x10-4±1x10-2 at 0.5 minutes/1 minute, 5.6x10-2±2.8x10-2 vs −6.4x10-3±2.0x10-2 at 2.5 minutes/3 minutes and 5.7x10-2±4.1x10-1 vs 1.7x10-3±1.0x10-2 at 4.5 minutes/5 minutes (P=.06), respectively. Ultrasonography reveals a significant increase in anterior compartment thickness in CECS patients compared to controls and an increased estimated compliance in CECS vs non-CECS patients. Our study supports the role of ultrasonography, a noninvasive tool in the diagnosis of CECS. Future studies need to be undertaken with more subjects to validate our technique for clinical use.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.039
GPT teacher head0.310
Teacher spread0.271 · 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.

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
Published2012
Admission routes1
Has abstractyes

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