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Determining Breast Implant Prevalence: A Population Study of Italian Chest Radiographs
BACKGROUND: Current breast implant prevalence within the general population remains elusive. An accurate prevalence is critical to serve as the denominator for any assessment of breast implant-related complication. The purpose of this manuscript is to assess this prevalence in women aged 20–70 years...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229464/ https://www.ncbi.nlm.nih.gov/pubmed/36829068 http://dx.doi.org/10.1007/s00266-023-03290-6 |
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author | Santanelli di Pompeo, Fabio Firmani, Guido Paolini, Guido Clemens, Mark Warren Argento, Giuseppe Barelli, Giulia Marta Rosati, Elisa Zanovello, Claudia D’Orsi, Gennaro Sorotos, Michail |
author_facet | Santanelli di Pompeo, Fabio Firmani, Guido Paolini, Guido Clemens, Mark Warren Argento, Giuseppe Barelli, Giulia Marta Rosati, Elisa Zanovello, Claudia D’Orsi, Gennaro Sorotos, Michail |
author_sort | Santanelli di Pompeo, Fabio |
collection | PubMed |
description | BACKGROUND: Current breast implant prevalence within the general population remains elusive. An accurate prevalence is critical to serve as the denominator for any assessment of breast implant-related complication. The purpose of this manuscript is to assess this prevalence in women aged 20–70 years in Italy. MATERIALS AND METHODS: Eight reviewers, demonstrating a mean sensitivity of 87.0% and specificity of 97.0%, were recruited for retrospective identification of implants on chest radiographs from a tertiary academic hospital in a major urban setting. Three final reviewers were selected, and they assessed all eligible chest radiographs collected between January and December 2019. The hospital-based population was compared to epidemiological data at a local, regional and national level to demonstrate homogeneity of age structures using the phi correlation coefficient. RESULTS: We identified 3,448 chest X-rays which yielded 140 implants, with an overall prevalence of 4.1% for women aged 20–70. Implants were bilateral in 76% of cases and unilateral in 24%. They were placed cosmetically in 47.1% cases and used for reconstruction in 52.9% cases. Phi correlation coefficient found no differences across hospital-based, local, regional and national populations. CONCLUSION: A validated method was performed to estimate implant prevalence from an academic hospital in a major urban setting at 4.1% and was used to estimate national prevalence in Italy. The implications of this epidemiologic study may reach across national borders for improved understanding of breast implant epidemiology and in predicting the total number of patients within a given population that may be affected by device complications. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266. |
format | Online Article Text |
id | pubmed-10229464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-102294642023-06-01 Determining Breast Implant Prevalence: A Population Study of Italian Chest Radiographs Santanelli di Pompeo, Fabio Firmani, Guido Paolini, Guido Clemens, Mark Warren Argento, Giuseppe Barelli, Giulia Marta Rosati, Elisa Zanovello, Claudia D’Orsi, Gennaro Sorotos, Michail Aesthetic Plast Surg Original Article BACKGROUND: Current breast implant prevalence within the general population remains elusive. An accurate prevalence is critical to serve as the denominator for any assessment of breast implant-related complication. The purpose of this manuscript is to assess this prevalence in women aged 20–70 years in Italy. MATERIALS AND METHODS: Eight reviewers, demonstrating a mean sensitivity of 87.0% and specificity of 97.0%, were recruited for retrospective identification of implants on chest radiographs from a tertiary academic hospital in a major urban setting. Three final reviewers were selected, and they assessed all eligible chest radiographs collected between January and December 2019. The hospital-based population was compared to epidemiological data at a local, regional and national level to demonstrate homogeneity of age structures using the phi correlation coefficient. RESULTS: We identified 3,448 chest X-rays which yielded 140 implants, with an overall prevalence of 4.1% for women aged 20–70. Implants were bilateral in 76% of cases and unilateral in 24%. They were placed cosmetically in 47.1% cases and used for reconstruction in 52.9% cases. Phi correlation coefficient found no differences across hospital-based, local, regional and national populations. CONCLUSION: A validated method was performed to estimate implant prevalence from an academic hospital in a major urban setting at 4.1% and was used to estimate national prevalence in Italy. The implications of this epidemiologic study may reach across national borders for improved understanding of breast implant epidemiology and in predicting the total number of patients within a given population that may be affected by device complications. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266. Springer US 2023-02-24 2023 /pmc/articles/PMC10229464/ /pubmed/36829068 http://dx.doi.org/10.1007/s00266-023-03290-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Santanelli di Pompeo, Fabio Firmani, Guido Paolini, Guido Clemens, Mark Warren Argento, Giuseppe Barelli, Giulia Marta Rosati, Elisa Zanovello, Claudia D’Orsi, Gennaro Sorotos, Michail Determining Breast Implant Prevalence: A Population Study of Italian Chest Radiographs |
title | Determining Breast Implant Prevalence: A Population Study of Italian Chest Radiographs |
title_full | Determining Breast Implant Prevalence: A Population Study of Italian Chest Radiographs |
title_fullStr | Determining Breast Implant Prevalence: A Population Study of Italian Chest Radiographs |
title_full_unstemmed | Determining Breast Implant Prevalence: A Population Study of Italian Chest Radiographs |
title_short | Determining Breast Implant Prevalence: A Population Study of Italian Chest Radiographs |
title_sort | determining breast implant prevalence: a population study of italian chest radiographs |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229464/ https://www.ncbi.nlm.nih.gov/pubmed/36829068 http://dx.doi.org/10.1007/s00266-023-03290-6 |
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