Diagnosis and Precision in Breast Cancer

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 2211

Special Issue Editor


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Guest Editor
Clinic for General Surgery, University Clinical Center Kragujevac Serbia, Department of Surgery, Faculty of Medical Sciences University of Kragujevac, Kragujevac, Serbia
Interests: breast surgery; surgical oncology

Special Issue Information

Dear Colleagues,

Based on WHO data from 2019, malignant diseases are the first or second most frequent cause of morbidity in people under 70 years of age in 112 countries, and for women in most parts of the world, breast cancer is one of the leading causes of death, with rising incidence. Advances in diagnostics have led to early detection followed by decreasing breast cancer mortality. Precision in detecting and treating breast cancer can relate to any part of patient care, from tailoring diagnostic and individualized treatments such as surgery, systemic therapy and radiotherapy, to long-term survivorship, relying on evidence, clinical practice and detailed disease characterization, and thus, providing the right therapy, to the right person, at the right time. Although there have been impressive advances in precision oncology over the past decade, especially in the field of molecular characterization and the tumor microenvironment, the potential effects of precision medicine have not yet produced the desired results. In this Special Issue of Diagnostics, we want to address the diagnostic modalities that could help medical professionals tailor an individual approach to patients with breast cancer. We welcome all manuscripts that focus on: the individualization of diagnostic methods, determining personalized screening for high-risk populations, family gene burden, tumor heterogeneity, tailored treatment, predictive tools for optimizing therapy, and the use of artificial intelligence.

Dr. Marko Spasic
Guest Editor

Manuscript Submission Information

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Keywords

  • breast cancer
  • diagnostics
  • personalized medicine
  • tumor heterogeneity
  • individualized treatment

Published Papers (2 papers)

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Research

13 pages, 838 KiB  
Article
Comparison of Diagnostic Performance between Classic and Modified Abbreviated Breast MRI and the MRI Features Affecting Their Diagnostic Performance
by Subin Lee, Eun Jung Choi, Hyemi Choi and Jung Hee Byon
Diagnostics 2024, 14(3), 282; https://doi.org/10.3390/diagnostics14030282 - 27 Jan 2024
Viewed by 674
Abstract
Abbreviated breast magnetic resonance imaging (AB-MRI) has emerged as a supplementary screening tool, though protocols have not been standardized. The purpose of this study was to compare the diagnostic performance of modified and classic AB-MRI and determine MRI features affecting their diagnostic performance. [...] Read more.
Abbreviated breast magnetic resonance imaging (AB-MRI) has emerged as a supplementary screening tool, though protocols have not been standardized. The purpose of this study was to compare the diagnostic performance of modified and classic AB-MRI and determine MRI features affecting their diagnostic performance. Classic AB-MRI included one pre- and two post-contrast T1-weighted imaging (T1WI) scans, while modified AB-MRI included a delayed post-contrast axial T1WI scan and an axial T2-weighted interpolated scan obtained between the second and third post-contrast T1WI scans. Four radiologists (two specialists and two non-specialists) independently categorized the lesions. The MRI features investigated were lesion size, lesion type, and background parenchymal enhancement (BPE). The Wilcoxon rank-sum test, Fisher’s exact test, and bootstrap-based test were used for statistical analysis. The average area under the curve (AUC) for modified AB-MRI was significantly greater than that for classic AB-MRI (0.76 vs. 0.70, p = 0.010) in all reader evaluations, with a similar trend in specialist evaluations (0.83 vs. 0.76, p = 0.004). Modified AB-MRI demonstrated increased AUCs and better diagnostic performance than classic AB-MRI, especially for lesion size > 10 mm (p = 0.018) and mass lesion type (p = 0.014) in specialist evaluations and lesion size > 10 mm (p = 0.003) and mild (p = 0.026) or moderate BPE (p = 0.010) in non-specialist evaluations. Full article
(This article belongs to the Special Issue Diagnosis and Precision in Breast Cancer)
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15 pages, 3737 KiB  
Article
FAM83H Expression Is Associated with Tumor-Infiltrating PD1-Positive Lymphocytes and Predicts the Survival of Breast Carcinoma Patients
by Ji Eun Choi, Ae Ri Ahn, Junyue Zhang, Kyoung Min Kim, Ho Sung Park, Ho Lee, Myoung Ja Chung, Woo Sung Moon and Kyu Yun Jang
Diagnostics 2023, 13(18), 2959; https://doi.org/10.3390/diagnostics13182959 - 15 Sep 2023
Viewed by 934
Abstract
Background: FAM83H has been implicated in cancer progression, and PD1 is an important target for anti-cancer immune checkpoint therapy. Recent studies suggest an association between FAM83H expression and immune infiltration. However, studies on the roles of FAM83H and its relationship with PD1 in [...] Read more.
Background: FAM83H has been implicated in cancer progression, and PD1 is an important target for anti-cancer immune checkpoint therapy. Recent studies suggest an association between FAM83H expression and immune infiltration. However, studies on the roles of FAM83H and its relationship with PD1 in breast carcinomas have been limited. Methods: Immunohistochemical expression of FAM83H and PD1 and their prognostic significance were evaluated in 198 breast carcinomas. Results: The expression of FAM83H in cancer cells was significantly associated with the presence of PD1-positive lymphoid cells within breast carcinoma tissue. Individual and co-expression patterns of nuclear FAM83H and PD1 were significantly associated with shorter survival of breast carcinomas in univariate analysis. In multivariate analysis, the expression of nuclear FAM83H (overall survival, p < 0.001; relapse-free survival, p = 0.003), PD1 (overall survival, p < 0.001; relapse-free survival, p = 0.003), and co-expression patterns of nuclear FAM83H and PD1 (overall survival, p < 0.001; relapse-free survival, p < 0.001) were the independent indicators of overall survival and relapse-free survival of breast carcinoma patients. Conclusions: This study suggests a close association between FAM83H expression and the infiltration of PD1-positive lymphoid cells in breast carcinomas and their expression as the prognostic indicators for breast carcinoma patients, and further studies are needed to clarify this relationship. Full article
(This article belongs to the Special Issue Diagnosis and Precision in Breast Cancer)
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