Breakthroughs in Breast Radiology

A special issue of Tomography (ISSN 2379-139X).

Deadline for manuscript submissions: closed (15 May 2024) | Viewed by 878

Special Issue Editor


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Guest Editor
Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
Interests: spectral CT; ultrasound tomography; applied inverse problems; imaging science and informatics

Special Issue Information

Dear Colleagues,

The past decade has seen a surge in the number of emerging imaging modalities that are clinically available, or nearly so. Coupled with the emergence of AI and deep learning, which are driving forces in the creation, processing, and interpretation of clinical images, there is tremendous potential for impacting the standard of care for patients. This Special Issue will focus on the latest developments in breast radiology that will strengthen imaging as the orchestrator of patient workflow in these value-driven times. Projects and manuscripts evaluating the clinical utility of these imaging methods are especially of interest.

Dr. Matthew A. Lewis
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. Tomography 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 2400 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 ultrasound tomography
  • photoacoustics
  • contrast-enhanced ultrasonography
  • spectral mammography
  • contrast-enhanced digital mammography and breast tomosynthesis
  • chemical exchange or hyperpolarized breast MRI
  • positron emission mammography and molecular breast imaging
  • breast specific CT and PET
  • opportunistic imaging of the breast
  • AI-enhanced breast image interpretation and analysis

Published Papers (1 paper)

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Research

17 pages, 3281 KiB  
Article
Breast Glandular and Ductal Volume Changes during the Menstrual Cycle: A Study in 48 Breasts Using Ultralow-Frequency Transmitted Ultrasound Tomography/Volography
by James Wiskin, John Klock and Susan Love
Tomography 2024, 10(5), 789-805; https://doi.org/10.3390/tomography10050060 - 19 May 2024
Viewed by 397
Abstract
The aim of this study was to show for the first time that low-frequency 3D-transmitted ultrasound tomography (3D UT, volography) can differentiate breast tissue types using tissue properties, accurately measure glandular and ductal volumes in vivo, and measure variation over time. Data were [...] Read more.
The aim of this study was to show for the first time that low-frequency 3D-transmitted ultrasound tomography (3D UT, volography) can differentiate breast tissue types using tissue properties, accurately measure glandular and ductal volumes in vivo, and measure variation over time. Data were collected for 400 QT breast scans on 24 women (ages 18–71), including four (4) postmenopausal subjects, 6–10 times over 2+ months of observation. The date of onset of menopause was noted, and the cases were further subdivided into three (3) classes: pre-, post-, and peri-menopausal. The ducts and glands were segmented using breast speed of sound, attenuation, and reflectivity images and followed over several menstrual cycles. The coefficient of variation (CoV) for glandular tissue in premenopausal women was significantly larger than for postmenopausal women, whereas this is not true for the ductal CoV. The glandular standard deviation (SD) is significantly larger in premenopausal women vs. postmenopausal women, whereas this is not true for ductal tissue. We conclude that ducts do not appreciably change over the menstrual cycle in either pre- or post-menopausal subjects, whereas glands change significantly over the cycle in pre-menopausal women, and 3D UT can differentiate ducts from glands in vivo. Full article
(This article belongs to the Special Issue Breakthroughs in Breast Radiology)
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