ArticleHeliyon2024
Ultrasound versus MRI for evaluation of silicone leakage from silicone breast implants.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Clinical Management After Rupture of Silicone Gel-Filled Breast Implants in a Surgically Treated Cohort: A Retrospective Study.European journal of breast health · 2026Article
- Article
- Article
- Prevalence of Silicone Lymphadenopathy in Women with Breast Implants: A single-center retrospective study.JPRAS open · 2025Article
- Increased FGF-19 levels following explantation in women with breast implant illness.Scientific reports · 2025Article
- Recognizing and Managing Breast Implant Complications: A Review for Healthcare Providers Who Treat Women Who Underwent Breast Implant-Based Surgery.International journal of women's health · 2025Review
- The Role of Positron Emission Tomography Imaging in Breast Implant Illness.Plastic and reconstructive surgery. Global open · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Implant ruptures and gel bleed are not uncommon among women with silicone breast implants. While magnetic resonance imaging (MRI) is traditionally considered the gold standard diagnostic modality, recent studies suggest ultrasound might be an acceptable alternative. This study compares the efficacy of ultrasound and MRI in assessing implant integrity. Methods: Women with silicone breast implants underwent a breast and axillary ultrasound and MRI on the same day. All tests were assessed by experienced radiologists. The accuracy, sensitivity, and specificity of ultrasound and MRI for implant rupture detection and silicone depositions in axillary lymph nodes were evaluated. Findings: A total of 104 women participated in the study. The accuracy, sensitivity, and specificity of ultrasound for detecting implant ruptures compared to MRI were 96 %, 95 %, and 96 %, respectively. MRI demonstrated significantly lower sensitivity (44 %) for detecting silicone depositions in axillary lymph nodes compared to ultrasound. A significant association was observed between the presence of enlarged axillary lymph nodes and/or axillary pain and the detection of silicone depositions in axillary lymph nodes on ultrasound (χ Interpretation: Ultrasound is nearly as effective as MRI for detecting breast implant ruptures and is superior for detecting silicone depositions in axillary lymph nodes. We therefore recommend initiating radiological examination in women with breast implants with a breast and axillary ultrasound, proceeding to MRI only if the ultrasound is inconclusive. The prevalence of gel bleed is understudied and its potential adverse health effects might be underestimated. Further research is needed to explore its potential association with development of systemic symptoms.
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Registered trials
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.