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Advances in Breast Imaging
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Advances in Breast Imaging

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Nuclear Medicine & Radiology".

Deadline for manuscript submissions: 18 February 2025 | Viewed by 1463

Special Issue Editor

Dr. Luca Nicosia

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Guest Editor
1. Breast Imaging Division, IEO, European Institute of Oncology IRCCS, Via Ripamonti, 435, 20141 Milan, Italy
2. Department of Biotechnology and Life Sciences, University of Insubria, Via J.H. Dunant, 3, 21100 Varese, Italy
Interests: breast imaging; contrast enhanced mammography; breast MRI; radiomics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Breast cancer continues to be the leading cause of cancer-related deaths among women globally. In our field, the integration of multimodal approaches signifies a pivotal advancement in the diagnostic management of breast cancer. Innovative diagnostic techniques, such as automated 3D breast ultrasonography (ABUS), digital breast tomosynthesis (DBT), contrast-enhanced spectral mammography (CESM), and diffusion-weighted imaging (DWI) sequences in Magnetic Resonance Imaging, are heralding new and promising opportunities. These advancements are particularly significant as personalized and precision medicine become increasingly important in healthcare.

Furthermore, the application of artificial intelligence and radiomics in breast imaging is rapidly growing, enhancing the potential for outstanding results while minimizing diagnostic errors. Interventional radiology has also seen remarkable progress in recent years. For example, excisional biopsy (VAE) for low-grade breast lesions offers a less invasive alternative to surgery for many patients, significantly improving their quality of life.

In light of these developments, this Special Issue aims to showcase and explore the latest advancements in breast imaging modalities. We also invite articles discussing novel applications of breast biopsy procedures, especially those utilizing vacuum-assisted techniques. We look forward to your contributions to this significant and evolving field.

Dr. Luca Nicosia
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. Journal of Clinical Medicine 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 2600 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 imaging
  • contrast-enhanced mammography
  • breast MRI
  • radiomics
  • clinical advances

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Published Papers (2 papers)

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Research

11 pages, 930 KiB  
Article
Radiomics for Predicting Prognostic Factors in Breast Cancer: Insights from Contrast-Enhanced Mammography (CEM)
by Claudia Lucia Piccolo, Marina Sarli, Matteo Pileri, Manuela Tommasiello, Aurora Rofena, Valerio Guarrasi, Paolo Soda and Bruno Beomonte Zobel
J. Clin. Med. 2024, 13(21), 6486; https://doi.org/10.3390/jcm13216486 - 29 Oct 2024
Viewed by 543
Abstract
Objectives: To evaluate the correlation between radiomic features extracted from contrast-enhanced mammography (CEM) tumor lesions and peritumoral background with prognostic factors in breast cancer (BC). Methods: In this retrospective, single-center study, 134 women with histologically confirmed breast cancer underwent CEM examination. [...] Read more.
Objectives: To evaluate the correlation between radiomic features extracted from contrast-enhanced mammography (CEM) tumor lesions and peritumoral background with prognostic factors in breast cancer (BC). Methods: In this retrospective, single-center study, 134 women with histologically confirmed breast cancer underwent CEM examination. Radiomic features were extracted from manually segmented lesions and lesion contours were automatically delineated using PyRadiomics. The extracted features were categorized into seven classes: First-order Features, Shape Features (2D), Gray Level Co-occurrence Matrix (GLCM), Gray Level Run Length Matrix (GLRLM), Gray Level Size Zone Matrix (GLSZM), and Neighboring Gray Tone Difference Matrix (NGTDM). Histological examination assessed tumor type, grade, receptor structure (ER, PgR, HER2), Ki67 index, and lymph node involvement. Pearson correlation and multivariate regression were applied to evaluate associations between radiomic features and prognostic factors. Results: Significant correlations were found between First-order Features and prognostic factors such as ER, PgR, and Ki67 (p < 0.05). GLCM-based texture features showed strong associations with Ki67 and HER2 (p < 0.01). Radiomic features from peritumoral regions, especially shape and GLSZM metrics, were significantly correlated with Ki67 and lymph node involvement. Conclusions: Radiomic analysis of both tumor and peritumoral regions offers significant insights into BC prognosis. These findings support the integration of radiomics into personalized diagnostic and therapeutic strategies, potentially improving clinical decision making in BC management. Full article
(This article belongs to the Special Issue Advances in Breast Imaging)
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13 pages, 1296 KiB  
Article
Treatment of Capsular Contracture in Previously Irradiated Breasts Implants and Expanders with the Use of Porcine Acellular Dermal Matrices: Outcomes and Complications
by Andrea Vittorio Emanuele Lisa, Riccardo Carbonaro, Manuela Bottoni, Giulia Colombo, Marika Gentilucci, Valeriano Vinci, Edvin Ostapenko, Luca Nicosia, Francesca De Lorenzi and Mario Rietjens
J. Clin. Med. 2024, 13(18), 5653; https://doi.org/10.3390/jcm13185653 - 23 Sep 2024
Viewed by 716
Abstract
Background: Radiation therapy is a crucial component of breast cancer treatment. However, it is well known to increase the risk of unsatisfactory cosmetic outcomes and higher complication rates. The aim of this study is to provide further insight into the use of [...] Read more.
Background: Radiation therapy is a crucial component of breast cancer treatment. However, it is well known to increase the risk of unsatisfactory cosmetic outcomes and higher complication rates. The aim of this study is to provide further insight into the use of acellular dermal matrices (ADMs) for the prevention of capsular contracture. Materials and Methods: This single-center, retrospective study analyzed irradiated patients who underwent post-mastectomy, ADM-assisted implant reconstructions. Of the 60 patients included, 26 underwent expander-to-implant substitution after radiotherapy (Group A), while 34 required implant replacement due to capsular contracture following radiotherapy (Group B). The primary objective was to evaluate the effectiveness of ADMs in reducing reconstructive failures, complications, and capsular contracture after breast irradiation. Results: We recorded a total of 15 complications and four implant losses. Reconstructive failures were attributed to implant exposure in two cases, full-thickness skin necrosis in one case, and severe Baker grade IV contracture in one case. Both Group A and Group B showed a significant decrease in postoperative Baker grades. US follow-up was used to demonstrate ADM integration with host tissues over time. Conclusions: Based on our findings, the use of ADM in selected cases appears to be a viable option for treating and preventing capsular contracture in irradiated breasts. This approach is associated with relatively low complication rates, a low rate of reconstructive failure, and satisfactory cosmetic outcomes and can be applied both in breast reconstructed with implants and with expanders. Full article
(This article belongs to the Special Issue Advances in Breast Imaging)
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