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Record W2412226423 · doi:10.1158/1557-3125.advbc-b114

Abstract B114: Core biopsy in breast cancer diagnosis: The provincial evaluation of utilization and relationship with treatment outcomes

2013· article· en· W2412226423 on OpenAlexaffabout
Kristy KM Cho, Christine Wilson, Scott Tyldesley, Caroline Speers

Bibliographic record

VenueMolecular Cancer Research · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsBC Cancer AgencyUniversity of British Columbia
Fundersnot available
KeywordsMedicineBiopsyBreast cancerCancerSentinel nodeRadiologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Abstract Purpose:To determine: 1) The proportion of women in British Columbia (BC) who have a pre-operative diagnosis of breast cancer by image-guided core biopsy; 2) Whether women who have a pre-operative radiological diagnosis of breast cancer with core biopsy have fewer breast surgeries as part of their initial therapy; 3) Whether local/ locoregional relapse is lower in women who have had a pre-operative diagnosis of breast cancer with a core biopsy versus an open biopsy; 4) Whether there is regional variation in the use of pre-operative core biopsies versus open biopsies in the diagnosis of breast cancer in B.C. 5) Whether the risk of pN0i+ on sentinel node biopsy (SNB) is reduced when the initial diagnosis of breast cancer is made on core biopsy versus open biopsy. Methods: All B.C residents diagnosed with breast cancer in 2006 were reviewed. The women were divided into groups according to the method of diagnosis- pre-operative core needle biopsy, operative biopsy (open biopsy or other surgery), versus other diagnosis. Core biopsies were further divided into image-guided versus clinically-directed core. Women with denovo metastatic disease, locally advanced disease, prior or synchronous invasive or insitu breast cancer, Paget's, alone or with insitu disease, patients with surgical procedures performed out of province, patients diagnosed on death certificate/ autopsy only, and cases without pathology were all excluded. Results: 3130 patients diagnosed in 2006 were identified in the BC Cancer Agency Registry. After exclusions, 2589 patients were included in the study cohort. 32% of patients had diagnosis made on an open surgical procedure, and 68% were diagnosed on a non-open biopsy, of which, 80% were image-guided core biopsies. Seventy-five percent of women with an image-guided core had one or less surgical procedure compared to only 26% of women whose diagnosis was made by surgery, despite the image-guided core biopsy group having larger, more invasive tumors and increased nodal positivity. The type of biopsy did not impact the prevalence of pN0i+ on SNB, or local and locoregional relapse rate. Regionally, Vancouver Coastal and Vancouver Island Health Authority, which are more densely populated urban centres, had the highest proportion of patients diagnosed by core biopsy, 70.3% and 75.4% respectively, and the sparsely populated Northern Health Authority had the lowest proportion at 46.7%. Conclusions: Core biopsies for breast cancer diagnosis are under-utilized in British Columbia and show significant regional variation. Although core biopsy diagnosis does not impact rate of pN0i+ on nodal biopsy or locoregional relapse rates, it is associated with substantially fewer breast/nodal surgeries. More resources are required to promote the use of CNB to providers and patients. Citation Format: Kristy KM Cho, Christine Wilson, Scott Tyldesley, Caroline Speers. Core biopsy in breast cancer diagnosis: The provincial evaluation of utilization and relationship with treatment outcomes. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Breast Cancer Research: Genetics, Biology, and Clinical Applications; Oct 3-6, 2013; San Diego, CA. Philadelphia (PA): AACR; Mol Cancer Res 2013;11(10 Suppl):Abstract nr B114.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.137
GPT teacher head0.421
Teacher spread0.284 · 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

Citations0
Published2013
Admission routes2
Has abstractyes

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