Use of Pelvic Floor Ultrasound to Assess Pelvic Floor Muscle Function in Urological Chronic Pelvic Pain Syndrome in Men
Bibliographic record
Abstract
INTRODUCTION: An important cause or maintaining factor for pain in Urological Chronic Pelvic Pain Syndrome (UCPPS) may be pelvic floor muscle (PFM) dysfunction, which may also be implicated in sexual dysfunction and influenced by psychosocial factors. Pelvic floor ultrasound is a noninvasive, reliable, and relatively simple method to assess PFM morphology and function and can be assessed by the anorectal angle (ARA) and levator plate angle (LPA). AIMS: The aim of the present study was to examine PFM morphology in men with UCPPS as compared with controls and to examine the correlation with pain and psychosocial measures. METHODS: Our participants were 24 men with UCPPS and 26 controls. A GE Voluson E8 ultrasound probe was placed on the perineum, and three-dimensional images were taken at rest and during PFM contraction. MAIN OUTCOME MEASURES: The main outcomes were ARA and LPA at rest and contraction. Participants also completed the National Institute of Health (NIH) Chronic Prostatitis Symptom Index, Male Sexual Health Questionnaire, State Anxiety Inventory, and Pain Catastrophizing Scale. RESULTS: Men with UCPPS had more acute ARAs than controls both at rest and during contraction. The two groups did not differ in LPA at rest; however, men with UCPPS had significantly more acute angles during contraction and LP excursion. Acute ARAs were positively correlated with greater pain report and sexual dysfunction. Anxiety was correlated with more acute ARAs and more obtuse LPAs. CONCLUSIONS: Three implications can be drawn from the findings. First, ARA at rest and during contraction as well as LP angle during contraction and LPA excursion separates men with UCPPS from controls. Second, ARA at rest and during contraction was correlated with pain and sexual dysfunction, while LPA at rest was related to anxiety. Third, pelvic floor ultrasound has the potential to be a useful and objective method of assessing PFM morphology in UCPPS.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".