Evidence map›Paper›PMID 35926836›Full record

ArticleAesthetic surgery journal2023

Neuroimaging in Breast Implant Illness: An fMRI Pilot Study.

Renée M L Miseré, Sanne Rutten, Job van den Hurk, Maartje J L Colaris, René R W J van der Hulst

Abstract read
In one paragraph

Article in Aesthetic surgery journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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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

2 citing papers in PubMed.

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4 · The record

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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.

Renée M L MiseréDepartment of Plastic, Reconstructive and Hand Surgery, Maastricht University Medical Center, Maastricht, the Netherlands.ORCID 0000-0001-5511-2294
Sanne RuttenScannexus Ultra-high Field MRI Center, Maastricht, the Netherlands.
Job van den HurkScannexus Ultra-high Field MRI Center, Maastricht, the Netherlands.
Maartje J L ColarisDepartment of Plastic Surgery, Hand and Burn Surgery, University Hospital RWTH Aachen, Aachen, Germany.
René R W J van der HulstDepartment of Plastic, Reconstructive and Hand Surgery, Maastricht University Medical Center, Maastricht, the Netherlands.

Funding

Brains Unlimited Pioneer FundFaculty of HealthMaastricht UniversityMedicine and Life SciencesSWOLUniversity Fund Limburg
6 · The paper itself

Abstract

backgroundSome women with breast implants report systemic and cognitive symptoms known as breast implant illness (BII), which are very similar to those of fibromyalgia. Functional MRI (fMRI) has shown altered brain activity in fibromyalgia patients.

objectivesThe aim of this pilot study was to investigate whether brain alterations could be observed in BII patients by fMRI.

methodsWomen aged 18 to 76 with silicone breast implants for cosmetic reasons were recruited through a Dutch online BII support organization (MKS) and through the Maastricht University Medical Center. Study participants comprised 12 women with BII and 12 women without symptoms. Participants completed questionnaires regarding demographic characteristics, medical history, psychosocial complaints (Four-Dimensional Symptom Questionnaire), cognitive failure (Mini-Mental State Examination), and pain intensity and pain-related disability (Chronic Pain Grade Scale). Subsequently, brain images of all participants were obtained by resting-state fMRI and diffusion tensor imaging in a 3-T MRI scanner (Siemens Medical System, Erlangen, Germany).

resultsEleven BII patients and 12 healthy controls were included in the analysis. Baseline characteristics were similar in the 2 groups and the mean silicone exposure was 15 years. Patients scored significantly higher than controls on both pain intensity and disability. Patients scored worse on depression, somatization, distress, and anxiety compared with asymptomatic women. Mini-Mental State Examination scores were normal. However, the analyses of both functional connectivity and structural integrity showed no significant differences between the 2 groups.

conclusionsThis pilot study showed no evidence of brain alterations in BII patients. However, patients scored significantly worse on psychosocial symptoms than controls. Psychological factors appear to play an important role in BII and should be further investigated. LEVEL OF EVIDENCE: 2:

Indexed as

Breast ImplantsChronic PainFibromyalgiaDiffusion Tensor ImagingFemaleHumansMagnetic Resonance ImagingNeuroimagingPilot ProjectsSiliconesSilicones

Identifiers

PMID35926836
PMCPMC9830978

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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.