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Cancers
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New Insights in Mammographic Density in Breast Cancer Risk, Screening...
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New Insights in Mammographic Density in Breast Cancer Risk, Screening and Detection

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Causes, Screening and Diagnosis".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 2022

Special Issue Editor

Dr. Wendy Ingman

E-Mail Website
Guest Editor
1. Discipline of Surgical Specialties, Adelaide Medical School, University of Adelaide, The Queen Elizabeth Hospital, Woodville South, SA 5011, Australia
2. Robinson Research Institute, University of Adelaide, Adelaide, SA 5006, Australia
Interests: breast cancer; breast development; mammary gland biology; mammographic density; lactation; menstrual cycle; predictive biomarkers; mastitis; breast cancer imaging
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Breast cancer is a significant health concern in many countries. Therefore, there is a dire need to develop advanced approaches to facilitate its prevention and early detection, thereby improving health outcomes. There is growing awareness of the significance of mammographic density as an independent breast cancer risk factor, which also affects mammographic screening and cancer detection. Together with consumer-led initiatives, multi-disciplinary advancements in mammographic density research are shaping future breast cancer risk reduction strategies as well as screening and detection technologies. This Special Issue invites submissions of papers that provide new insights into mammographic density incorporating biology, epidemiology, clinical medicine, consumer perspective, artificial intelligence, bioengineering, and advanced animal models.

Dr. Wendy Ingman
Guest Editor

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. Cancers is an international peer-reviewed open access semimonthly 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 2900 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
  • mammographic density
  • breast cancer risk
  • breast cancer screening
  • mammography
  • risk reduction
  • consumer-led research
  • multi-disciplinary research

Published Papers (2 papers)

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Research

11 pages, 258 KiB  
Article
Factors Associated with Increased Knowledge about Breast Density in South Australian Women Undergoing Breast Cancer Screening
by Avisak Bhattacharjee, David Walsh, Pallave Dasari, Leigh J. Hodson, Suzanne Edwards, Sarah J. White, Deborah Turnbull and Wendy V. Ingman
Cancers 2024, 16(5), 893; https://doi.org/10.3390/cancers16050893 - 23 Feb 2024
Viewed by 912
Abstract
Background: There is growing awareness of breast density in women attending breast cancer screening; however, it is unclear whether this awareness is associated with increased knowledge. This study aims to evaluate breast density knowledge among Australian women attending breast cancer screening. Method: This [...] Read more.
Background: There is growing awareness of breast density in women attending breast cancer screening; however, it is unclear whether this awareness is associated with increased knowledge. This study aims to evaluate breast density knowledge among Australian women attending breast cancer screening. Method: This cross-sectional study was conducted on women undergoing breast cancer screening at The Queen Elizabeth Hospital Breast/Endocrine outpatient department. Participants were provided with a questionnaire to assess knowledge, awareness, and desire to know their own breast density. Result: Of the 350 women who participated, 61% were familiar with ‘breast density’ and 57% had ‘some knowledge’. Prior breast density notification (OR = 4.99, 95% CI = 2.76, 9.03; p = 0.004), awareness (OR = 4.05, 95% CI = 2.57, 6.39; p = 0.004), younger age (OR = 0.97, 95% CI = 0.96, 0.99; p = 0.02), and English as the language spoken at home (OR = 3.29, 95% CI = 1.23, 8.77; p = 0.02) were independent predictors of ‘some knowledge’ of breast density. A significant proportion of participants (82%) expressed desire to ascertain their individual breast density. Conclusions: While knowledge of breast density in this Australian cohort is generally quite low, we have identified factors associated with increased knowledge. Further research is required to determine optimal interventions to increase breast density knowledge. Full article
(This article belongs to the Special Issue New Insights in Mammographic Density in Breast Cancer Risk, Screening and Detection)
13 pages, 2202 KiB  
Article
Suspicious Ultrasound-Occult Non-Calcified Mammographic Masses, Asymmetries, and Architectural Distortions Are Moderate Probability for Malignancy
by Ethan O. Cohen, Rachel E. Perry, Ravinder S. Legha, Hilda H. Tso, Kyungmin Shin, Megan E. Speer, Kanchan A. Phalak, Jia Sun and Jessica W. T. Leung
Cancers 2024, 16(3), 655; https://doi.org/10.3390/cancers16030655 - 03 Feb 2024
Viewed by 668
Abstract
Suspicious non-calcified mammographic findings have not been evaluated with modern mammographic technique, and the purpose of this work is to compare the likelihood of malignancy for those findings. To do this, 5018 consecutive mammographically guided biopsies performed during 2016–2019 at a large metropolitan, [...] Read more.
Suspicious non-calcified mammographic findings have not been evaluated with modern mammographic technique, and the purpose of this work is to compare the likelihood of malignancy for those findings. To do this, 5018 consecutive mammographically guided biopsies performed during 2016–2019 at a large metropolitan, community-based hospital system were retrospectively reviewed. In total, 4396 were excluded for targeting calcifications, insufficient follow-up, or missing data. Thirty-seven of 126 masses (29.4%) were malignant, 44 of 194 asymmetries (22.7%) were malignant, and 77 of 302 architectural distortions (AD, 25.5%) were malignant. The combined likelihood of malignancy was 25.4%. Older age was associated with a higher likelihood of malignancy for each imaging finding type (all p ≤ 0.006), and a possible ultrasound correlation was associated with a higher likelihood of malignancy when all findings were considered together (p = 0.012). Two-view asymmetries were more frequently malignant than one-view asymmetries (p = 0.03). There were two false-negative biopsies (98.7% sensitivity and 100% specificity). In conclusion, the 25.4% likelihood of malignancy confirms the recommendation for biopsy of suspicious, ultrasound-occult, mammographic findings. Mammographically guided biopsies were highly sensitive and specific in this study. Older patient age and a possible ultrasound correlation should raise concern given the increased likelihood of malignancy in those scenarios. Full article
(This article belongs to the Special Issue New Insights in Mammographic Density in Breast Cancer Risk, Screening and Detection)
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