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Diabetes, Obesity, and Inflammation: Impact on Clinical and Radiographic Features of Breast Cancer
Obesity, diabetes, and inflammation increase the risk of breast cancer, the most common malignancy in women. One of the mainstays of breast cancer treatment and improving outcomes is early detection through imaging-based screening. There may be a role for individualized imaging strategies for patien...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7963150/ https://www.ncbi.nlm.nih.gov/pubmed/33803201 http://dx.doi.org/10.3390/ijms22052757 |
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author | Miller, Braden Chalfant, Hunter Thomas, Alexandra Wellberg, Elizabeth Henson, Christina McNally, Molly W. Grizzle, William E. Jain, Ajay McNally, Lacey R. |
author_facet | Miller, Braden Chalfant, Hunter Thomas, Alexandra Wellberg, Elizabeth Henson, Christina McNally, Molly W. Grizzle, William E. Jain, Ajay McNally, Lacey R. |
author_sort | Miller, Braden |
collection | PubMed |
description | Obesity, diabetes, and inflammation increase the risk of breast cancer, the most common malignancy in women. One of the mainstays of breast cancer treatment and improving outcomes is early detection through imaging-based screening. There may be a role for individualized imaging strategies for patients with certain co-morbidities. Herein, we review the literature regarding the accuracy of conventional imaging modalities in obese and diabetic women, the potential role of anti-inflammatory agents to improve detection, and the novel molecular imaging techniques that may have a role for breast cancer screening in these patients. We demonstrate that with conventional imaging modalities, increased sensitivity often comes with a loss of specificity, resulting in unnecessary biopsies and overtreatment. Obese women have body size limitations that impair image quality, and diabetes increases the risk for dense breast tis-sue. Increased density is known to obscure the diagnosis of cancer on routine screening mammography. Novel molecu-lar imaging agents with targets such as estrogen receptor, human epidermal growth factor receptor 2 (HER2), pyrimi-dine analogues, and ligand-targeted receptor probes, among others, have potential to reduce false positive results. They can also improve detection rates with increased resolution and inform therapeutic decision making. These emerg-ing imaging techniques promise to improve breast cancer diagnosis in obese patients with diabetes who have dense breasts, but more work is needed to validate their clinical application. |
format | Online Article Text |
id | pubmed-7963150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79631502021-03-17 Diabetes, Obesity, and Inflammation: Impact on Clinical and Radiographic Features of Breast Cancer Miller, Braden Chalfant, Hunter Thomas, Alexandra Wellberg, Elizabeth Henson, Christina McNally, Molly W. Grizzle, William E. Jain, Ajay McNally, Lacey R. Int J Mol Sci Review Obesity, diabetes, and inflammation increase the risk of breast cancer, the most common malignancy in women. One of the mainstays of breast cancer treatment and improving outcomes is early detection through imaging-based screening. There may be a role for individualized imaging strategies for patients with certain co-morbidities. Herein, we review the literature regarding the accuracy of conventional imaging modalities in obese and diabetic women, the potential role of anti-inflammatory agents to improve detection, and the novel molecular imaging techniques that may have a role for breast cancer screening in these patients. We demonstrate that with conventional imaging modalities, increased sensitivity often comes with a loss of specificity, resulting in unnecessary biopsies and overtreatment. Obese women have body size limitations that impair image quality, and diabetes increases the risk for dense breast tis-sue. Increased density is known to obscure the diagnosis of cancer on routine screening mammography. Novel molecu-lar imaging agents with targets such as estrogen receptor, human epidermal growth factor receptor 2 (HER2), pyrimi-dine analogues, and ligand-targeted receptor probes, among others, have potential to reduce false positive results. They can also improve detection rates with increased resolution and inform therapeutic decision making. These emerg-ing imaging techniques promise to improve breast cancer diagnosis in obese patients with diabetes who have dense breasts, but more work is needed to validate their clinical application. MDPI 2021-03-09 /pmc/articles/PMC7963150/ /pubmed/33803201 http://dx.doi.org/10.3390/ijms22052757 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Miller, Braden Chalfant, Hunter Thomas, Alexandra Wellberg, Elizabeth Henson, Christina McNally, Molly W. Grizzle, William E. Jain, Ajay McNally, Lacey R. Diabetes, Obesity, and Inflammation: Impact on Clinical and Radiographic Features of Breast Cancer |
title | Diabetes, Obesity, and Inflammation: Impact on Clinical and Radiographic Features of Breast Cancer |
title_full | Diabetes, Obesity, and Inflammation: Impact on Clinical and Radiographic Features of Breast Cancer |
title_fullStr | Diabetes, Obesity, and Inflammation: Impact on Clinical and Radiographic Features of Breast Cancer |
title_full_unstemmed | Diabetes, Obesity, and Inflammation: Impact on Clinical and Radiographic Features of Breast Cancer |
title_short | Diabetes, Obesity, and Inflammation: Impact on Clinical and Radiographic Features of Breast Cancer |
title_sort | diabetes, obesity, and inflammation: impact on clinical and radiographic features of breast cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7963150/ https://www.ncbi.nlm.nih.gov/pubmed/33803201 http://dx.doi.org/10.3390/ijms22052757 |
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