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Record W4417272570 · doi:10.3390/curroncol32120701

Post-Surgical Pyoderma Gangrenosum After Breast Cancer Surgery: A Multidisciplinary Case Report

2025· article· en· W4417272570 on OpenAlexvenueno aff
Raquel Díaz, Rebecca Allievi, Letizia Cuniolo, Maria Stella Leone, Ilaria Baldelli, Federica Toscanini, Giulia Buzzatti, Andrea Bellodi, Chiara Cornacchia, Federica Murelli, Francesca Depaoli, Cecilia Margarino, Chiara Boccardo, Marco Gipponi, Marianna Pesce, Simonetta Franchelli, Amandine Causse d’Agraives, Piero Fregatti

Bibliographic record

VenueCurrent Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsPyoderma gangrenosumBreast cancerDebridement (dental)HistopathologyMastectomyDifferential diagnosisImmunosuppressionInflammatory breast cancerCancer

Abstract

fetched live from OpenAlex

Post-surgical pyoderma gangrenosum is a rare neutrophilic dermatosis that may occur after surgical procedures, mimicking a wound infection. Early recognition is crucial to prevent unnecessary debridement and worsening of lesions due to pathergy. We report the case of a 67-year-old woman who underwent nipple-sparing mastectomy for invasive breast carcinoma with immediate reconstruction using a tissue expander. In the early postoperative period, she developed an extensive sterile necrotic-ulcerative inflammation of the left breast, unresponsive to broad-spectrum antibiotics and repeated surgical revisions. Histopathology revealed an aseptic neutrophilic infiltrate, confirming the diagnosis of post-surgical pyoderma gangrenosum. The patient responded favorably to high-dose corticosteroid therapy, achieving complete wound healing and definitive reconstruction with a TRAM flap. This case highlights the importance of considering post-surgical pyoderma gangrenosum in the differential diagnosis of inflammatory postoperative complications in breast oncology surgery. Prompt diagnosis and early initiation of immunosuppressive therapy within a multidisciplinary approach are key to preserving tissues and ensuring optimal functional and aesthetic outcomes.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.476
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.036
GPT teacher head0.393
Teacher spread0.357 · 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 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
Published2025
Admission routes1
Has abstractyes

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