Evidence map›Paper›PMID 42170574›Full record

ReviewTranslational breast cancer research : a journal focusing on translational research in breast cancer2026

The impact of breast cancer on cosmetic breast augmentation outcomes and screening challenges in patients with implants: a literature review.

Denis Souto Valente, Felipe Jorge Marques Carvalho da Costa, Bruno Henrique Volkmann, Vinícius Kayser, Gabriel Mesquita, Maria Eduarda Corrêa Pereira, Fabricio Silveira da Costa, Rafael Miranda de Andrade, Pedro Bins Ely

Abstract readReview
In one paragraph

Review in Translational breast cancer research : a journal focusing on translational research in breast cancer, 2026. 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

9 authors.

Denis Souto ValenteDivision of Surgical Clinics, Federal University of Health Sciences of Porto Alegre, Rio Grande do Sul, Brazil.ORCID https://orcid.org/0000-0001-6101-5087
Felipe Jorge Marques Carvalho da CostaDivision of Surgical Clinics, Federal University of Health Sciences of Porto Alegre, Rio Grande do Sul, Brazil.
Bruno Henrique VolkmannDivision of Surgical Clinics, Federal University of Health Sciences of Porto Alegre, Rio Grande do Sul, Brazil.
Vinícius KayserDivision of Surgical Clinics, Federal University of Health Sciences of Porto Alegre, Rio Grande do Sul, Brazil.
Gabriel MesquitaDivision of Surgical Clinics, Federal University of Health Sciences of Porto Alegre, Rio Grande do Sul, Brazil.
Maria Eduarda Corrêa PereiraDivision of Surgical Clinics, Federal University of Health Sciences of Porto Alegre, Rio Grande do Sul, Brazil.
Fabricio Silveira da CostaDivision of Surgical Clinics, Federal University of Health Sciences of Porto Alegre, Rio Grande do Sul, Brazil.
Rafael Miranda de AndradeDivision of Surgical Clinics, Federal University of Health Sciences of Porto Alegre, Rio Grande do Sul, Brazil.
Pedro Bins ElyDivision of Surgical Clinics, Federal University of Health Sciences of Porto Alegre, Rio Grande do Sul, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Breast augmentation remains one of the most common aesthetic surgical procedures worldwide, offering significant psychological benefits. However, the presence of breast implants introduces unique challenges in oncologic safety, particularly in cancer screening, diagnosis, and long-term surveillance. This literature review evaluates the impact of breast implants on breast cancer detection, prognosis, and the evolving management of breast implant-associated anaplastic large cell lymphoma (BIA-ALCL), alongside recent developments in postmastectomy radiation therapy (PMRT) and implant-based reconstruction. Methods: A search was conducted in March 2025 across PubMed, Cochrane Library, and SciELO. Studies in English or Portuguese addressing breast cancer screening, outcomes, or BIA-ALCL in patients with breast implants were included. Data were charted on study design, implant type, imaging strategy, cancer outcomes, and BIA-ALCL diagnosis and treatment. Key Content and Findings: Of 447 initial records, 62 met inclusion criteria. Evidence confirms that breast implants do not increase breast cancer incidence or worsen prognosis. However, implants-especially subglandular-impair mammographic sensitivity, potentially delaying diagnosis. The Eklund technique, magnetic resonance imaging, and ultrasound significantly enhance screening efficacy but remain underutilized. BIA-ALCL, an uncommon malignancy linked to textured implants, demands heightened clinical awareness, standardized surveillance, and prompt en bloc capsulectomy when indicated. Innovations in reconstructive protocols now allow safe use of implants in irradiated patients through approaches such as delayed-immediate reconstruction and lipofilling. Conclusions: Although breast implants do not elevate cancer risk, they complicate screening and may delay detection. Optimized imaging protocols and patient-specific screening strategies are essential. BIA-ALCL underscores the importance of informed consent and long-term monitoring. Advances in PMRT compatibility with implants are improving reconstructive outcomes. Multidisciplinary care, patient education, and global standardization are key to improving oncologic safety in augmented populations.

Indexed as

breast cancer screeningbreast implant-associated anaplastic large cell lymphoma (BIA-ALCL)Breast implantsbreast reconstructionmammography

Identifiers

PMID42170574
PMCPMC13187560

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.