Diagnosis, Treatment, and Prognosis of Breast Cancer
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Clinical Diagnosis and Prognosis".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 103
Special Issue Editor
2. Surgical Oncology Clinic, Institute for Oncology and Radiology of Serbia, Pasterova 14, 11 000 Belgrade, Serbia
Interests: breast cancer; thyroid cancer; melanoma; soft tissue sarcoma; surgical oncology; breast surgery; thyroid surgery
Special Issue Information
Dear Colleagues,
On behalf of the Diagnostics Editorial Team, I am delighted to welcome contributions to the Special Issue “Diagnosis, Treatment, and Prognosis of Breast Cancer”.
Breast cancer remains one of the most prevalent malignancies worldwide and a leading cause of cancer-related mortality among women. In recent years, the landscape of breast cancer diagnosis and management has undergone a remarkable transformation, driven by advances in molecular biology, imaging, systemic therapy, and digital medicine. This Special Issue aims to provide an overview of the current state of and future directions in the diagnosis, treatment, and prognosis of breast cancer.
We invite contributions on the integration of novel diagnostic tools—such as advanced imaging, liquid biopsies, and molecular profiling—into clinical workflows. A special focus will be placed on the role of artificial intelligence (AI) in enhancing early detection, imaging interpretation, and pathology. On the therapeutic front, the rise of targeted agents, immunotherapy, and personalized protocols has significantly improved outcomes, particularly in hormone receptor-positive and HER2-positive cases. However, challenges remain for subtypes with limited treatment options, such as triple-negative breast cancer (TNBC), where novel biomarkers and more effective therapies are urgently needed.
This Special Issue seeks original research articles, case reports, systematic reviews, and expert perspectives that address innovations and ongoing challenges in the following areas:
- Imaging, pathology, and molecular diagnostics;
- Integration of AI and digital tools in breast cancer detection and decision-making;
- Personalized treatment strategies and novel therapeutic agents;
- Prognostic models and outcome predictors;
- Management of challenging subtypes, including TNBC;
- Multidisciplinary approaches to breast cancer care.
Our aim is to highlight emerging approaches that have the potential to improve outcomes and quality of care for all patients with breast cancer.
I look forward to receiving your contributions.
Dr. Marko Buta
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. Diagnostics 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 cancer diagnosis
- molecular profiling
- artificial intelligence
- targeted therapy
- immunotherapy
- treatment strategies
- prognostic markers
- triple-negative breast cancer
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