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Diagnostics
Special Issues
Innovations and Challenges in Breast Imaging
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Innovations and Challenges in Breast Imaging

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

Deadline for manuscript submissions: 31 October 2026 | Viewed by 327

Special Issue Editor

Prof. Dr. Gary J. Whitman

E-Mail Website
Guest Editor
Department of Breast Imaging, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
Interests: digital mammography (screening, diagnosis, tomosynthesis, and intervention); breast ultrasound; breast MRI; high-risk screening; high-risk lesions; unusual breast lesions; monitoring response to therapy; inflammatory breast cancer
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Breast imaging plays a central role in the early detection, diagnosis, and management of breast disease. Rapid technological advances, including artificial intelligence, radiomics, and novel imaging techniques, are reshaping clinical practice, while important challenges such as imaging in dense breasts, diagnostic accuracy, overdiagnosis, and clinical implementation remain. This Special Issue, “Innovations and Challenges in Breast Imaging,” aims to highlight recent progress and address unresolved issues across the full spectrum of breast imaging. We welcome high-quality original research and comprehensive reviews covering mammography, digital breast tomosynthesis, ultrasound, MRI, AI-assisted imaging, imaging biomarkers, and emerging technologies. By integrating technical, clinical, and translational perspectives, this collection seeks to support improved diagnostic performance and optimized patient-centered breast imaging strategies.

Prof. Dr. Gary J. Whitman
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 250 words) can be sent to the Editorial Office for assessment.

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 imaging
  • breast ultrasound
  • mammography
  • digital breast tomosynthesis
  • digital mammography
  • contrast-enhanced mammography
  • breast MRI
  • molecular breast imaging
  • imaging-guided interventional breast procedures
  • artificial intelligence in imaging

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Published Papers (1 paper)

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Research

14 pages, 1495 KB  
Article
Assessing the Feasibility of Preoperative Axillary Ultrasound in Identifying Node-Negative Axillae: An Indian Retrospective Experience
by Sanika Limaye, Harveen Arora, Rupa Mishra, Mugdha Pai, Nutan Jumle, Namrata Athavale, Chaitanyanand Koppiker, Sneha Joshi and Beenu Varghese
Diagnostics 2026, 16(12), 1874; https://doi.org/10.3390/diagnostics16121874 (registering DOI) - 16 Jun 2026
Abstract
Background and Objectives: Preoperative axillary ultrasound (PAUS) is a non-invasive method to assess nodal metastasis in breast cancer. Although sentinel lymph node biopsy (SLNB) is the gold standard, PAUS may help identify patients who can safely omit SLNB. This study evaluates PAUS’s diagnostic [...] Read more.
Background and Objectives: Preoperative axillary ultrasound (PAUS) is a non-invasive method to assess nodal metastasis in breast cancer. Although sentinel lymph node biopsy (SLNB) is the gold standard, PAUS may help identify patients who can safely omit SLNB. This study evaluates PAUS’s diagnostic accuracy in predicting axillary nodal negativity (N0) in early-stage breast cancer. Methods: This retrospective study included 165 patients with confirmed early-stage breast cancer, excluding those with prior malignancies, neoadjuvant chemotherapy, or palpable axillary lymphadenopathy. PAUS classified nodes as positive or negative using stringent sonographic criteria, and findings were correlated with SLNB histopathology. Accuracy for detecting negative axillae, performance in patients meeting SOUND trial criteria, and overall diagnostic parameters were calculated. Results: Of the 165 patients, 86 were identified as node negative on PAUS, with a 90.69% accuracy for detecting negative nodes. For the full cohort, PAUS showed a sensitivity of 86.20%, specificity of 71.02%, positive predictive value of 61.72%, negative predictive value of 90.47%, and overall accuracy of 76.36% for identifying nodal status. Significant nodal features included shape, fatty hilum, and margins (p < 0.001), along with primary tumor size (p = 0.004). Histopathological findings such as extranodal extension (p < 0.001) and lymphovascular invasion (p < 0.001) were also significant. Conclusions: PAUS demonstrated high accuracy for identifying negative axillae and strong sensitivity and NPV, indicating it may identify node-negative patients who may forgo SLNB. These results support PAUS as a valuable tool for axillary surgery de-escalation, with further prospective validation recommended. Full article
(This article belongs to the Special Issue Innovations and Challenges in Breast Imaging)
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