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Record W7117165162 · doi:10.21037/bc-25-9

Biopsy-proven stromal fibrosis: what is the appropriate management approach?

2025· article· W7117165162 on OpenAlexaff
Prasaanthan Gopee-Ramanan, Sareh Keshavarzi, Supriya Kulkarni, Allison Grant, Frederick Au, Sandeep Ghai, Vivianne Freitas

Bibliographic record

VenueBreast Communications · 2025
Typearticle
Language
FieldMedicine
TopicBreast Lesions and Carcinomas
Canadian institutionsSinai Health SystemPublic Health OntarioWomen's College HospitalJuravinski HospitalMcMaster UniversityPrincess Margaret Cancer CentreHamilton Health Sciences
Fundersnot available
KeywordsMalignancyAtypiaBreast cancerStromal cellHistopathologyBreast carcinomaFibrosisRetrospective cohort studyBiopsy

Abstract

fetched live from OpenAlex

Background: Stromal fibrosis is a common benign finding in breast biopsies that can mimic carcinoma and occasionally coexist with malignancy. The key clinical question is whether biopsy-proven stromal fibrosis without atypia warrants surgical excision or can be safely managed with imaging surveillance. The purpose is to assess the upgrade rate of biopsy-proven stromal fibrosis without associated atypia and determine the most appropriate management approach for these patients. Methods: A retrospective review of imaging-guided breast biopsies performed between 2014 and 2019 in a tertiary center was conducted under research ethics board (REB) approval. Patients with biopsy-proven stromal fibrosis without atypia were identified. The upgrade rate to malignancy and the imaging characteristics of upgraded cases following surgical excision were recorded. Final diagnoses were confirmed by surgical histopathology or, in cases without surgery, by an uneventful clinical and radiological follow-up of at least 2 years. Predictors of malignancy were evaluated using one-way analysis of variance (ANOVA) for normally distributed variables or the Kruskal-Wallis test for non-normally distributed variables. Categorical variables are compared in three groups by the Chi-squared test. Results: Among 9,814 consecutive imaging-guided breast biopsies performed during the study period, 334 cases (4.8%) in 334 patients met the inclusion criteria, comprising the study cohort. The median patient age was 52 years. Of these, 4 cases (1.2%) were upgraded to malignancy within 2 years of follow-up. Older age (>50 years) was significantly associated with an upgrade to malignancy (P<0.001), and a personal history of breast cancer showed a trend toward increased upgrade risk (P=0.07). No other clinical or imaging features were linked to the malignancy upgrade. Conclusions: The upgrade rate for biopsy-proven stromal fibrosis without atypia is low (1.2%), supporting a diagnostic follow-up approach for 2 years under Breast Imaging Reporting and Data System (BI-RADS) 3 guidelines (<2% risk of malignancy). These findings underscore that careful radiologic-pathologic correlation can safely guide surveillance while reducing unnecessary surgical interventions.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.942
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0040.004
Research integrity0.0000.001
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 head0.021
GPT teacher head0.273
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.

Study designOther design
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
Published2025
Admission routes1
Has abstractyes

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