Breast Imaging Physics in Mammography (Part II).

Autor: Fico N; Department of Physics 'Ettore Pancini', Università di Napoli Federico II, 80127 Naples, Italy., Grezia GD; Radiology Division, ASL Avellino, 83040 Avellino, Italy., Cuccurullo V; Department of Precision Medicine, Università della Campania 'Luigi Vanvitelli', 80013 Naples, Italy., Salvia AAH; Department of Precision Medicine, Università della Campania 'Luigi Vanvitelli', 80013 Naples, Italy., Iacomino A; Department of Human Science, Guglielmo Marconi University, 00193 Rome, Italy., Sciarra A; Department of Experimental Medicine, Università della Campania 'Luigi Vanvitelli', 80013 Naples, Italy., La Forgia D; IRCCS Istituto Tumori 'Giovanni Paolo II', 70100 Bari, Italy., Gatta G; Department of Precision Medicine, Università della Campania 'Luigi Vanvitelli', 80013 Naples, Italy.
Jazyk: angličtina
Zdroj: Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2023 Dec 01; Vol. 13 (23). Date of Electronic Publication: 2023 Dec 01.
DOI: 10.3390/diagnostics13233582
Abstrakt: One of the most frequently detected neoplasms in women in Italy is breast cancer, for which high-sensitivity diagnostic techniques are essential for early diagnosis in order to minimize mortality rates. As addressed in Part I of this work, we have seen how conditions such as high glandular density or limitations related to mammographic sensitivity have driven the optimization of technology and the use of increasingly advanced and specific diagnostic methodologies. While the first part focused on analyzing the use of a mammography machine from a physical and dosimetric perspective, in this paper, we will examine other techniques commonly used in breast imaging: contrast-enhanced mammography, digital breast tomosynthesis, radio imaging, and include some notes on image processing. We will also explore the differences between these various techniques to provide a comprehensive overview of breast lesion detection techniques. We will examine the strengths and weaknesses of different diagnostic modalities and observe how, with the implementation of improvements over time, increasingly effective diagnoses can be achieved.
Databáze: MEDLINE
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