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Record W2076229749 · doi:10.1097/pgp.0b013e3181d90bca

Ovarian Adenosarcoma Arising from Benign Cystadenoma and Associated Intraoperative Consultation Pitfalls

2010· article· en· W2076229749 on OpenAlexaff
Zhongchuan Will Chen, Reda S. Saad

Bibliographic record

VenueInternational Journal of Gynecological Pathology · 2010
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsUniversity of TorontoSunnybrook Health Science CentreHealth Sciences Centre
Fundersnot available
KeywordsCystadenomaSerous CystadenomaPathologyMedicineMucinous cystadenomaStromal cellImmunohistochemistryFrozen section procedureGross examinationCystOvaryInternal medicine

Abstract

fetched live from OpenAlex

An unusual case of ovarian adenosarcoma arising from a smooth-walled serous cystadenoma is described. The ovary was replaced by a multiloculated, fluid-filled cyst without any solid or papillary areas. The malignant component was underdiagnosed during frozen section examination as benign cystadenoma because of the deceptively benign gross appearance of the tumor. On the permanent sections, a phyllodes-like pattern of stromal proliferation and periglandular condensation of atypical stromal cells with a mitotic count of 3 per 10 high-power fields was more apparent and led to the diagnosis of adenosarcoma. The malignant component could not be distinguished from the benign component using immunohistochemical analysis. To our knowledge, this is the first reported case of an adenosarcoma arising from a grossly benign cystadenoma and the third case in the literature of an adenosarcoma associated with a cystadeno(fibro)ma. This case also shows the challenges in differentiating adenosarcoma from a benign counterpart on both frozen and permanent sections.

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)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.225
Threshold uncertainty score0.778

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 integrity0.0000.001
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 head0.012
GPT teacher head0.288
Teacher spread0.276 · 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.

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".

Quick stats

Citations7
Published2010
Admission routes1
Has abstractyes

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