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Record W2005251399 · doi:10.5489/cuaj.10008

Tumeur myofibroblastique inflammatoire de la vessie

2011· article· fr· W2005251399 on OpenAlexvenueno aff
Wafa Jomaa, Sonia Ziadi, Mounir Trimèche, Faten Hammedi, N. Ben Sorba, Moncef Mokni, Sadok Korbi

Bibliographic record

VenueCanadian Urological Association Journal · 2011
Typearticle
Languagefr
FieldMedicine
TopicIgG4-Related and Inflammatory Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBladder tumorGynecologyPathologyBladder cancerInternal medicineCancer

Abstract

fetched live from OpenAlex

La tumeur myofibroblastique inflammatoire est une lésion classée par l'OMS parmi les néoplasies intermédiaires. Elle peut siéger dans différents organes : les poumons, le pancréas, le mésentère et l'utérus. La localisation vésicale est rare.Nous rapportons le cas d'un jeune homme de 38 ans qui a consulté pour hématurie. L'échographie a révélé la présence d'une structure tissulaire intravésicale de 3 cm de grand axe. L'examen anatomopathologique et l'étude immunohistochimique ont conclu à une tumeur myofibroblastique inflammatoire de la vessie. À partir de cette observation, nous présentons les diagnostics différentiels et les particularités anatomopathologiques de cette localisation rare.Myofibroblastic inflammatory tumor is considered as an intermediate neoplasm according to the WHO classification. It can occur in different organs: lung, pancreas, mesentery and uterus. The localization in the bladder is unusual. We report a case of a 38-year-old patient who presented with hematuria. Echography showed a 3 cm tissular structure of the bladder. Histological analysis and immunohistochemistry concluded to the diagnosis of myofibroblastic tumor of the bladder. The present work will give a general view of the myofibroblastic tumor, and will review its differential diagnosis.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.210
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.008
GPT teacher head0.211
Teacher spread0.203 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2011
Admission routes1
Has abstractyes

Explore more

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