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Record W3010980491 · doi:10.5935/1518-0557.20190075

Management of ejaculatory duct obstruction by seminal vesiculoscopy: Case Report and Literature Review

2020· article· en· W3010980491 on OpenAlexaff
Filipe Tenório Lira Neto, Phil Bach, Eduardo Miranda, Sergio Luis da Silva Calisto, Guilherme Maia Tavares da Silva, Dimas Lemos Antunes, Philip S. Li

Bibliographic record

VenueJBRA · 2020
Typearticle
Languageen
FieldMedicine
TopicUrologic and reproductive health conditions
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEjaculatory ductMedicineTransrectal ultrasonographyAzoospermiaInfertilitySemen analysisUrologyMale infertilityMagnetic resonance imagingRadiologyProstateSeminal vesicleInternal medicine

Abstract

fetched live from OpenAlex

Ejaculatory duct obstruction is a rare condition identified in up to 5% of infertile men. Patients with ejaculatory duct obstruction can present with aspermia, azoospermia or oligoasthenospermia, painful ejaculation, hematospermia, prostatic pain, or male infertility. Semen analysis, transrectal ultrasonography, pelvic computerized tomography and magnetic resonance imaging are often used in the diagnostic work up, but with limited accuracy. While transurethral resection of the ejaculatory ducts has good efficacy for distal duct obstruction, results for proximal obstruction are less impressive, and it might cause severe complications, such as rectal injury and urinary incontinence. Recently, the use of high quality endourological devices and an improved understanding of ejaculatory ducts anatomy gleaned through the use of sophisticated imaging tools have led to the development of novel minimally invasive treatment options for this condition. The present study aims to report an index case of ejaculatory ducts obstruction managed with seminal vesiculoscopy, and review the current literature regarding this topic.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0020.002
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 head0.016
GPT teacher head0.308
Teacher spread0.292 · 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 designCase report
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

Citations14
Published2020
Admission routes1
Has abstractyes

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