Special Issue "Breast Cancer: Early Diagnosis"

A special issue of Medicina (ISSN 1648-9144). This special issue belongs to the section "Oncology".

Deadline for manuscript submissions: 30 December 2023 | Viewed by 1329

Special Issue Editor

Dr. Marco Pellicciaro
E-Mail Website
Guest Editor
Breast Unit, Department of Surgical Science, University of Rome Tor Vergata, 00133 Rome, Italy
Interests: early diagnosis of breast cancer

Special Issue Information

Dear Colleagues,

Breast cancer is the most common neoplasia in females, affecting around one out of nine women during their life. Over the years, the diagnostic pathways have changed from a palpable evident breast lesion to what is nowadays considered as locally advanced breast cancer in non-palpable lesions. The implementation of breast cancer screening programs and the advent of digital mammography have led to the increased detection of early-stage breast cancers. The progress of treatments and higher incidence of early breast cancer diagnosis have led to a significantly reduction in mastectomy and axillary lymph nodes dissection, with increasing use of minimally invasive surgery. Despite the use of increasingly conservative treatments, survival rates and disease-free survival have nevertheless increased. The treatments used have transitioned from mastectomy to lumpectomy for breast surgery and from lymphadenectomy to lymph node sentinel biopsy, until its omission in some cases of early-stage cancer.

On the other hand, diagnosis at increasingly earlier stages has led to the diagnosis of small carcinomas in situ, and the treatment of these has been considered by some investigators to be overtreatment.

The aim of this Special issue is to evaluate the appropriate diagnostic pathways and option treatments for early breast cancer. Moreover, of interest for the Special Issue are the cases of omission of the sentinel lymph node, axillary dissection or omission of surgical intervention and any optional treatments.

The Special Issue will consider the following types of articles: editorials, review articles, original articles, case reports if associated with literature reviews and rapid communications.

Dr. Marco Pellicciaro
Guest Editor

Manuscript Submission Information

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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. Medicina 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 1800 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.


  • early breast cancer
  • conservative breast surgery
  • omitting sentinel lymph node biopsy
  • sentinel lymph node biopsy
  • vacuum-assisted breast lesion excision
  • in situ breast cancer

Published Papers (1 paper)

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Case Report
The Approach of Artificial Intelligence in Neuroendocrine Carcinomas of the Breast: A Next Step towards Precision Pathology?—A Case Report and Review of the Literature
Medicina 2023, 59(4), 672; https://doi.org/10.3390/medicina59040672 - 28 Mar 2023
Viewed by 1084
Primary neuroendocrine tumors (NETs) of the breast are considered a rare and undervalued subtype of breast carcinoma that occur mainly in postmenopausal women and are graded as G1 or G2 NETs or an invasive neuroendocrine carcinoma (NEC) (small cell or large cell). To [...] Read more.
Primary neuroendocrine tumors (NETs) of the breast are considered a rare and undervalued subtype of breast carcinoma that occur mainly in postmenopausal women and are graded as G1 or G2 NETs or an invasive neuroendocrine carcinoma (NEC) (small cell or large cell). To establish a final diagnosis of breast carcinoma with neuroendocrine differentiation, it is essential to perform an immunohistochemical profile of the tumor, using antibodies against synaptophysin or chromogranin, as well as the MIB-1 proliferation index, one of the most controversial markers in breast pathology regarding its methodology in current clinical practice. A standardization error between institutions and pathologists regarding the evaluation of the MIB-1 proliferation index is present. Another challenge refers to the counting process of MIB-1′s expressiveness, which is known as a time-consuming process. The involvement of AI (artificial intelligence) automated systems could be a solution for diagnosing early stages, as well. We present the case of a post-menopausal 79-year-old woman diagnosed with primary neuroendocrine carcinoma of the breast (NECB). The purpose of this paper is to expose the interpretation of MIB-1 expression in our patient’ s case of breast neuroendocrine carcinoma, assisted by artificial intelligence (AI) software (HALO—IndicaLabs), and to analyze the associations between MIB-1 and common histopathological parameters. Full article
(This article belongs to the Special Issue Breast Cancer: Early Diagnosis)
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