Special Issue "Mammography in Breast Disease Screening and Diagnosis"

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Methodology, Drug and Device Discovery".

Deadline for manuscript submissions: 10 June 2023 | Viewed by 1346

Special Issue Editors

Department of Diagnostic Senology, District 12, Caserta Local Health Authority, Caserta LHA, 81100 Caserta, Italy
Interests: breast imaging; breast cancer; screening; digital breast tomosynthesis; public health; mammography
Special Issues, Collections and Topics in MDPI journals
Department of Radiology, Marcianise Hospital, Caserta Local Health Authority, 81025 Marcianise, Italy
Interests: management in radiology; public health; breast imaging; screening

Special Issue Information

Dear Colleagues,

Female breast can suffer from a wide spectrum of pathologies, ranging from inflammatory diseases to benign and malignant tumors. Women face numerous risk factors, such as age and familiarity, nutrition, endogenous and/or exogenous hormonal stimulation, as well as breast density. To reduce the risk and harm of these conditions, primary prevention is fundamental, and the importance of early diagnosis has been widely demonstrated.

Mammography represents the gold standard for breast cancer screening in women aged 40 and over (especially 50–69 years old), with different guidelines proposed around the world. Although screening is considered the main instrument to achieve early diagnosis, its effectiveness is highly debated due to the presence of false-positive and false-negative cases, interval cancers and overdiagnosis, which are associated with discomfort and/or potential psychological harm for the women.

This Special Issue aims to evaluate the state of the art of the use of mammography, with particular attention to the use of digital breast tomosynthesis (DBT), in breast disease screening and diagnosis for both asymptomatic women and symptomatic outpatients.

In particular, we will try to deepen and clarify the use of DBT alone or in association with other imaging techniques (e.g., ultrasound, standard digital mammography, magnetic resonance imaging), in addition to analyzing the advantages of personalized screening for breast cancer.

Finally, focus will be also extended to the socio-economic and psychological impact of screening on both the general population and the health system, as well as its medico-legal implications in the current practice.

This Special Issue aims to present and discuss all these aspects. Original research articles and reviews are welcome. Research areas may include (but are not limited to) all the aforementioned topics.

Dr. Daniele Ugo Tari
Dr. Fabio Pinto
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Personalized Medicine is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • breast cancer 
  • screening 
  • breast disease 
  • public health 
  • mammography 
  • digital breast tomosynthesis (DBT) 
  • personalized screening

Published Papers (2 papers)

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Editorial

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Editorial
Mammography in Breast Disease Screening and Diagnosis
J. Pers. Med. 2023, 13(2), 228; https://doi.org/10.3390/jpm13020228 - 27 Jan 2023
Viewed by 468
Abstract
Female breasts can suffer from a wide spectrum of pathologies, ranging from inflammatory diseases to benign and malignant tumors [...] Full article
(This article belongs to the Special Issue Mammography in Breast Disease Screening and Diagnosis)

Research

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Article
Breast Density Evaluation According to BI-RADS 5th Edition on Digital Breast Tomosynthesis: AI Automated Assessment Versus Human Visual Assessment
J. Pers. Med. 2023, 13(4), 609; https://doi.org/10.3390/jpm13040609 - 30 Mar 2023
Viewed by 622
Abstract
Background: The assessment of breast density is one of the main goals of radiologists because the masking effect of dense fibroglandular tissue may affect the mammographic identification of lesions. The BI-RADS 5th Edition has revised the mammographic breast density categories, focusing on a [...] Read more.
Background: The assessment of breast density is one of the main goals of radiologists because the masking effect of dense fibroglandular tissue may affect the mammographic identification of lesions. The BI-RADS 5th Edition has revised the mammographic breast density categories, focusing on a qualitative evaluation rather than a quantitative one. Our purpose is to compare the concordance of the automatic classification of breast density with the visual assessment according to the latest available classification. Methods: A sample of 1075 digital breast tomosynthesis images from women aged between 40 and 86 years (58 ± 7.1) was retrospectively analyzed by three independent readers according to the BI-RADS 5th Edition. Automated breast density assessment was performed on digital breast tomosynthesis images with the Quantra software version 2.2.3. Interobserver agreement was assessed with kappa statistics. The distributions of breast density categories were compared and correlated with age. Results: The agreement on breast density categories was substantial to almost perfect between radiologists (κ = 0.63–0.83), moderate to substantial between radiologists and the Quantra software (κ = 0.44–0.78), and the consensus of radiologists and the Quantra software (κ = 0.60–0.77). Comparing the assessment for dense and non-dense breasts, the agreement was almost perfect in the screening age range without a statistically significant difference between concordant and discordant cases when compared by age. Conclusions: The categorization proposed by the Quantra software has shown a good agreement with the radiological evaluations, even though it did not completely reflect the visual assessment. Thus, clinical decisions regarding supplemental screening should be based on the radiologist’s perceived masking effect rather than the data produced exclusively by the Quantra software. Full article
(This article belongs to the Special Issue Mammography in Breast Disease Screening and Diagnosis)
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