Evidence map›Paper›PMID 40585677›Full record

ArticleCureus2025

Surgical Management of Severe Bilateral Breast Silicone Granulomatosis: A Case Report.

Fanta John, Diana A Fisler, Donovan Valentin Torres, Kimiya Taji, Shay B Dean

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Fanta JohnPlastic and Reconstructive Surgery, St. George's University School of Medicine, True Blue, GRD.
Diana A FislerPlastic and Reconstructive Surgery, St. George's University School of Medicine, True Blue, GRD.
Donovan Valentin TorresPlastic and Reconstructive Surgery, St. George's University School of Medicine, True Blue, GRD.
Kimiya TajiPlastic and Reconstructive Surgery, St. George's University School of Medicine, True Blue, GRD.
Shay B DeanPlastic and Reconstructive Surgery, Dean Plastic Surgery Associates Inc., Los Angeles, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Silicone granulomatosis is a chronic inflammatory response induced by the introduction of silicone into soft tissue, typically occurring during cosmetic or reconstructive procedures. Despite its well-established association with silicone injections, managing silicone granulomatosis poses significant challenges, necessitating a multidisciplinary approach to achieve favorable patient outcomes. Treatment involves a spectrum of medical modalities alongside surgical interventions, with the extent of surgical management varying based on disease severity. However, recurrence remains a concern, particularly in cases of extensive tissue dissemination following incomplete excision. We present the case of a 46-year-old woman with severe bilateral silicone granulomatosis of the breast treated using a multi-step surgical approach. Our strategy encompassed bilateral mastectomy, bilateral autologous breast reconstruction utilizing the latissimus dorsi pedicle flap technique, tissue expander placement, silicone gel implant insertion, and bilateral nipple reconstruction. This comprehensive approach aimed not only to eradicate granulomatous tissue but also to reconstruct and restore the affected breasts, thereby enhancing both functional and aesthetic outcomes.

Indexed as

autologous breast reconstructionbreast augmentationgranulomamastectomynipple reconstructionplastic and reconstructive surgerysilicone granulomatosissilicone granulomatosis treatmenttissue expander

Identifiers

PMID40585677
PMCPMC12205909

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.