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Record W2719469262 · doi:10.1016/j.breast.2017.06.014

Vacuum-assisted complete excision of solid intraductal/intracystic masses and complex cysts: Is follow-up necessary?

2017· article· en· W2719469262 on OpenAlexaff
Vanessa Quinn-Laurin, Jean‐Charles Hogue, Sylvie Pinault, Nathalie Duchesne

Bibliographic record

VenueThe Breast · 2017
Typearticle
Languageen
FieldMedicine
TopicBreast Lesions and Carcinomas
Canadian institutionsUniversité LavalHôpital du Saint-Sacrement
Fundersnot available
KeywordsMedicineBiopsyMalignancyAtypiaCystRadiologyLesionSurgeryPathology

Abstract

fetched live from OpenAlex

INTRODUCTION: Management of complex cysts and benign intraductal/intracystic masses is controversial. The aim of this study was to determine if the complete removal of the complex cyst lesions with ultrasound-guided vacuum-assisted excision (US-VAE) is sufficient for their safe management when the histological diagnosis obtained at biopsy is benign. SUBJECTS AND METHODS: This is a single institution retrospective study performed on patients who underwent breast biopsy between April 2007 and September 2013. Patients with complete removal of complex cyst lesion of a BIRADS 4 lesion by US-VAE that obtained a benign diagnosis were included. Size, morphology, histological diagnosis, and surgical or imaging follow-up of the lesions were analyzed. RESULTS: During the study period, 131 lesions met the inclusion criteria. Benign papilloma represented 32% (42/131) of the lesions; the remaining lesions had various benign diagnoses. Mean size of the solid mass or the cysts' thickest septum was 7 mm (range, 2-24). Mean imaging follow-up was 34.9 months (24-99 months) in 115 lesions. No recurrence or malignancy in the post-biopsy bed were observed during follow-up. Eleven lesions (8.4%) underwent surgery as follow-up: no cancer was found, but two lesions demonstrated atypia. CONCLUSIONS: Complex cyst lesion image completely excised with US-VAE and with a benign histology at biopsy might not require further imaging follow-up or surgery and a return to routine screening can be safely recommended. In a world where healthcare delivery and accessibility is important, elimination of unnecessary follow-ups is pertinent given its lower cost and lesser social impact.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.907
Threshold uncertainty score0.593

Codex and Gemma teacher scores by category

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

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 head0.057
GPT teacher head0.309
Teacher spread0.252 · 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

Citations6
Published2017
Admission routes1
Has abstractyes

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