Breast Imaging Physics in Mammography (Part I)

Author:

Fico Noemi1ORCID,Di Grezia Graziella2ORCID,Cuccurullo Vincenzo3ORCID,Salvia Antonio Alessandro Helliot4,Iacomino Aniello5,Sciarra Antonella6,Gatta Gianluca4ORCID

Affiliation:

1. Department of Physics Ettore Pancini, Università di Napoli Federico II, 80126 Naples, Italy

2. Radiology Division, ASL Avellino, 83100 Avellino, Italy

3. Nuclear Medicine Unit, Department of Precision Medicine, Università della Campania Luigi Vanvitelli, 81100 Napoli, Italy

4. Department of Precision Medicine, Università della Campania Luigi Vanvitelli, 81100 Napoli, Italy

5. Department of Human Science, Guglielmo Marconi University, 00193 Rome, Italy

6. Department of Experimental Medicine, University of Campania Luigi Vanvitelli, 80138 Napoli, Italy

Abstract

Breast cancer is the most frequently diagnosed neoplasm in women in Italy. There are several risk factors, but thanks to screening and increased awareness, most breast cancers are diagnosed at an early stage when surgical treatment can most often be conservative and the adopted therapy is more effective. Regular screening is essential but advanced technology is needed to achieve quality diagnoses. Mammography is the gold standard for early detection of breast cancer. It is a specialized technique for detecting breast cancer and, thus, distinguishing normal tissue from cancerous breast tissue. Mammography techniques are based on physical principles: through the proper use of X-rays, the structures of different tissues can be observed. This first part of the paper attempts to explain the physical principles used in mammography. In particular, we will see how a mammogram is composed and what physical principles are used to obtain diagnostic images.

Publisher

MDPI AG

Subject

Clinical Biochemistry

Reference93 articles.

1. Mayrovitz, H.N. (2022). Breast Cancer, Exon Publications. Chapter 1.

2. Annual mammographic screening to reduce breast cancer mortality in women from age 40 years: Long-term follow-up of the UK Age RCT;Duffy;Health Technol. Assess.,2020

3. Evans, D.G., Astley, S., Stavrinos, P., Harkness, E., Donnelly, L.S., Dawe, S., Jacob, I., Harvie, M., Cuzick, J., and Brentnall, A. (2023, September 18). Improvement in risk prediction, early detection and prevention of breast cancer in the NHS Breast Screening Programme and family history clinics: A dual cohort study. Available online: https://europepmc.org/article/NBK/nbk379488.

4. Gelband, H., Jha, P., Sankaranarayanan, R., and Horton, S. (2015). Cancer: Disease Control Priorities, The International Bank for Reconstruction and Development/The World Bank. [3rd ed.]. Chapter 3.

5. Cancer Screening: Patient and Population Strategies;Lane;Med. Clin. N. Am.,2023

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