Diabetes, Obesity, and Inflammation: Impact on Clinical and Radiographic Features of Breast Cancer

• Published in: International journal of molecular sciences Vol. 22; no. 5; p. 2757
• Main Authors: Miller, Braden, Chalfant, Hunter, Thomas, Alexandra, Wellberg, Elizabeth, Henson, Christina, McNally, Molly W, Grizzle, William E, Jain, Ajay, McNally, Lacey R
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI 09.03.2021; MDPI AG
• Subjects: breast cancer; Breast Neoplasms - diagnostic imaging; Breast Neoplasms - metabolism; diabetes; Diabetes Mellitus - diagnostic imaging; Diabetes Mellitus - metabolism; Female; Humans; imaging; Mammography; molecular imaging; obesity; Obesity - diagnostic imaging; Obesity - metabolism; Review; breast cancer; molecular imaging; diabetes; imaging; obesity
• ISSN: 1422-0067; 1661-6596; 1422-0067
• DOI: 10.3390/ijms22052757

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.