Literature DB >> 34063854

A Review of Breast Imaging for Timely Diagnosis of Disease.

Giulia Bicchierai1, Federica Di Naro1, Diego De Benedetto1, Diletta Cozzi2,3, Silvia Pradella2,3, Vittorio Miele2, Jacopo Nori1.   

Abstract

Breast cancer (BC) is the cancer with the highest incidence in women in the world. In this last period, the COVID-19 pandemic has caused in many cases a drastic reduction of routine breast imaging activity due to the combination of various factors. The survival of BC is directly proportional to the earliness of diagnosis, and especially during this period, it is at least fundamental to remember that a diagnostic delay of even just three months could affect BC outcomes. In this article we will review the state of the art of breast imaging, starting from morphological imaging, i.e., mammography, tomosynthesis, ultrasound and magnetic resonance imaging and contrast-enhanced mammography, and their most recent evolutions; and ending with functional images, i.e., magnetic resonance imaging and contrast enhanced mammography.

Entities:  

Keywords:  CEM; MRI; breast; breast cancer; mammography; tomosynthesis; ultrasound

Mesh:

Year:  2021        PMID: 34063854     DOI: 10.3390/ijerph18115509

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  2 in total

1.  Special Issue "New Advances in Breast Imaging".

Authors:  Daniele Ugo Tari
Journal:  Tomography       Date:  2022-06-28

2.  Improved Machine Learning-Based Predictive Models for Breast Cancer Diagnosis.

Authors:  Abdur Rasool; Chayut Bunterngchit; Luo Tiejian; Md Ruhul Islam; Qiang Qu; Qingshan Jiang
Journal:  Int J Environ Res Public Health       Date:  2022-03-09       Impact factor: 3.390

  2 in total

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