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P2-12-23: How Should We Assess Tumour Size (T Stage) in Patients with Multicentric/Multifocal Breast Cancer? Results from the NCIC CTG MA.5 Randomized Trial of CEF vs. CMF in Pre-Menopausal Women with Node Positive Breast Cancer.

2011· article· en· W1972164821 on OpenAlexaff
Nathaniel Bouganim, Bin Dong, JF Hilton, J-AW Chapman, Angel Arnaout, F P O’Malley, Torsten O. Nielsen, Karen A. Gelmon, Rinat Yerushalmi, Mark N. Levine, V. Bramwell, Timothy J. Whelan, Kathleen I. Pritchard, Lois E. Shepherd, Mark Clemons

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsMcMaster UniversityBaker Hughes (Canada)Juravinski Cancer CentreVancouver Hospital and Health Sciences CentreQueen's UniversityPrincess Margaret Cancer CentreMount Sinai HospitalUniversity of CalgaryOttawa HospitalOttawa Regional Cancer FoundationUniversity of TorontoBC Cancer Agency
Fundersnot available
KeywordsMedicineBreast cancerStage (stratigraphy)CancerOncologyLymph nodeInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background A common clinical conundrum in breast cancer management is whether pathologic T stage in women with multicentric or multifocal disease should be taken as the diameter of the largest focus or as the sum of all foci in the breast. Most staging systems, such as the American Joint Committee on Cancer (AJCC), simply use the largest tumour focus for staging. We examine here the impact of alternate methods of estimating tumour size including measures of total tumour size, volume and surface area. Methods: NCIC CTG MA.5 is a randomized trial of CEF versus CMF in pre-menopausal women with node positive breast cancer. Median follow up is 10 years. Pathologically reported patient tumour dimensions for up to 3 foci were utilized to examine the effects of tumour size on Breast-Cancer-Free-Interval (BCFI). BCFI is defined as the time from randomization until recurrence: first local invasive or DCIS, regional, distant, contralateral invasive or DCIS. Tumour size was estimated as 1) pathologic T stage as per AJCC criteria; 2) largest dimension of largest tumour focus (cm); 3) sum of largest dimension(s) of tumour foci (cm); 4) sum of surface area(s) of tumour foci (cm2), and 5) sum of volume of tumour foci (cm3). Step-wise forward unstratified Cox regression was used to assess the different effects of tumour size. Results: This study accrued 710 patients, 37% with T1 tumours, 52% with T2 tumours and 9% with T3 tumours; 61% had 1 to 3 positive lymph nodes. 59% hormone receptor positive. Higher pathologic T stage (p=0.001) and greater surface area (p=0.02) were associated with shorter BCFI, as was lymphovascular invasion (p=0.03), and # of lymph nodes involved (p<0.0001). Administration of anthracycline therapy led to significantly longer BCFI (0.003). The sum of largest tumour sizes (p=0.33) and sum of tumour volume (p=0.34) were not significantly associated with BCFI. Additionally, when the less complete locally reported tumour grade data were included, higher tumour grade was associated with shorter BCFI (p<0.0001). Conclusions: Consideration of multicentric and multifocal disease was an important adjunct to standard pathologic tumour size as was estimation of tumour surface area in this chemotherapy trial of node positive premenopausal women. However, simply adding together the diameters of tumours in patients with multicentric or multifocal disease did not add any additional prognostic information in this high risk patient population. Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P2-12-23.

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)0.008
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.037
GPT teacher head0.323
Teacher spread0.286 · 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 designRandomized trial
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
Published2011
Admission routes1
Has abstractyes

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