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Record W2792985897 · doi:10.1016/j.jsxm.2017.12.017

Relationships Between 3-Dimensional Transperineal Ultrasound Imaging and Digital Intravaginal Palpation Assessments of the Pelvic Floor Muscles in Women With and Without Provoked Vestibulodynia

2018· article· en· W2792985897 on OpenAlexafffund
Stéphanie Thibault-Gagnon, Corrie Goldfinger, Caroline F. Pukall, Susan Chamberlain, Linda McLean

Bibliographic record

VenueThe Journal of Sexual Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsUniversity of OttawaKingston Health Sciences CentreQueen's University
FundersNatural Sciences and Engineering Research Council of CanadaNational Vulvodynia AssociationOntario Innovation Trust
KeywordsPalpationMedicinePelvic floorUltrasoundCervical dilationPelvic floor dysfunctionPelvic Floor Muscle3D ultrasoundRadiologyAnatomyPregnancy

Abstract

fetched live from OpenAlex

BACKGROUND: Digital intravaginal palpation remains the favored method for clinical assessment of pelvic floor muscle (PFM) function in women; however, there is growing interest in using transperineal ultrasound imaging (TPUSI). TPUSI does not involve vaginal penetration, making it particularly relevant for PFM assessment in women with genito-pelvic pain and penetration disorders. AIMS: To study the relations between measures of PFM morphology and function assessed using 3-dimensional (3D) TPUSI and PFM assessment through intravaginal palpation. METHODS: 77 nulliparous premenopausal women with (n = 38) and without (n = 39) PVD participated. 3D TPUSI was used to measure levator hiatal dimensions at rest, at maximal voluntary contraction (MVC) of the PFMs, and at maximal Valsalva maneuver (MVM). Intravaginal palpation was used to assess PFM strength, PFM tone, PFM relaxation after contraction, and vaginal flexibility; each was scored using an ordinal grading scale. Ultrasound and palpation outcomes were compared using Spearman correlation coefficients and Kruskal-Wallis 1-way analyses of variance by rank. OUTCOMES: Outcomes included ultrasound measures of the levator hiatal area, anteroposterior diameter, and left-right transverse diameter at rest, at MVC, and at MVM; raw and relative changes in hiatal dimensions between rest and MVC and between rest and MVM; and palpation measures of PFM strength, tone, and relaxation after contraction, and vaginal flexibility. RESULTS: Weak to fair correlations were found between ultrasound and palpation measures. A smaller levator hiatus at rest was associated with greater PFM tone, less PFM relaxation, and less vaginal flexibility. Greater levator hiatal constriction and shortening of the hiatal anteroposterior diameter at MVC were associated with greater palpated PFM strength. Greater hiatal distention at MVM was associated with lower PFM tone and greater relaxation. CLINICAL TRANSLATION: 3D TPUSI and intravaginal palpation provide related but distinct information about PFM function in young women with and without PVD with high functioning PFMs. STRENGTHS AND LIMITATIONS: This was the first study to compare PFM assessment using 3D TPUSI and intravaginal palpation in nulliparous premenopausal women. A main strength of the study was the inclusion of women with PVD and asymptomatic controls, which provided a wide range in outcomes because differences in PFM morphology and function exist between women with and without PVD. The lack of inclusion of older women and women with weaker and/or hypotonic PFMs limits the generalizability of the findings. CONCLUSION: Although TPUSI has several advantages, including painless application, it is not recommended as a replacement for digital palpation in the clinical assessment of PFM function. Thibault-Gagnon S, Goldfinger C, Pukall C, et al. Relationships Between 3-Dimensional Transperineal Ultrasound Imaging and Digital Intravaginal Palpation Assessments of the Pelvic Floor Muscles in Women With and Without Provoked Vestibulodynia. J Sex Med 2018;15:346-360.

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)0.001
metaresearch head score (Gemma)0.007
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.286
Teacher spread0.266 · 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".

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Citations14
Published2018
Admission routes2
Has abstractyes

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