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Diagnostics
Special Issues
Diagnostic Radiology for Breast Cancer
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Diagnostic Radiology for 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 March 2026 | Viewed by 683

Special Issue Editor

Dr. Romuald Ferré

E-Mail Website
Guest Editor
Radiology Department, Timmins and District Hospital (TADH), Timmins, ON, Canada
Interests: breast cancer screening; breast MRI; mammography; diagnostic radiology

Special Issue Information

Dear Colleagues,

Early and accurate diagnosis remains the cornerstone of improving breast-cancer outcomes. Over the past decade, diagnostic radiology has evolved rapidly, integrating digital breast tomosynthesis, contrast-enhanced mammography, abbreviated and full-protocol breast MRI, targeted ultrasound, and, more recently, artificial-intelligence-driven image analysis and radiomics. These innovations promise higher cancer-detection rates, lower recall burdens, risk-stratified screening pathways, and more precise preoperative staging. This Special Issue invites original research and comprehensive reviews that evaluate novel imaging techniques, compare diagnostic performance across modalities, explore AI applications, assess cost-effectiveness, and refine imaging-guided interventions. Our goal is to accelerate the translation of cutting-edge imaging science into equitable, patient-centered breast-cancer care.

Dr. Romuald Ferré
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 cancer screening
  • digital breast tomosynthesis (DBT)
  • contrast-enhanced mammography (CEM)
  • abbreviated breast MRI
  • artificial intelligence and radiomics
  • ultrasound correlation
  • risk-stratified imaging pathways

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

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Review

19 pages, 1503 KB  
Review
Imaging Ductal Carcinoma In Situ in the Era of De-Escalation: Role, Limits, and Clinical Implications for Risk-Adapted Management
by Marcella Buono, Luigi Schiavone, Sighelgaita Rizzo, Lanfranco Aquilino Musto, Gianluca Gatta, Lucia Pilati and Francesca Caumo
Diagnostics 2026, 16(5), 776; https://doi.org/10.3390/diagnostics16050776 - 5 Mar 2026
Viewed by 381
Abstract
The widespread implementation of population-based mammographic screening has markedly increased the detection of ductal carcinoma in situ (DCIS), without a proportional reduction in breast cancer-specific mortality. This divergence has intensified concerns regarding overdiagnosis and overtreatment and has prompted increasing interest in treatment de-escalation [...] Read more.
The widespread implementation of population-based mammographic screening has markedly increased the detection of ductal carcinoma in situ (DCIS), without a proportional reduction in breast cancer-specific mortality. This divergence has intensified concerns regarding overdiagnosis and overtreatment and has prompted increasing interest in treatment de-escalation and active surveillance strategies. Breast imaging remains indispensable for DCIS detection, extent assessment, and longitudinal monitoring. However, although imaging features correlate with histopathologic risk factors at the population level, their ability to predict individual biological progression is inherently probabilistic and limited. Overinterpretation of imaging phenotypes as surrogates of invasive destiny risks inappropriate reassurance or unjustified therapeutic escalation, particularly in the context of high-sensitivity modalities that may overestimate disease extent or trigger additional interventions without proven outcome benefits. This review examines the modality-specific roles of mammography, ultrasound, breast magnetic resonance imaging (MRI), contrast-enhanced mammography (CEM), and emerging artificial intelligence (AI) approaches within contemporary DCIS management, with particular attention to their implementation in active surveillance trials such as LORIS, COMET, LORD, and LORETTA. Across modalities, imaging primarily reflects lesion morphology, spatial distribution, and vascular behaviour, and functions most reliably as a risk-filtering and safety-gating instrument aimed at excluding radiologically unsafe scenarios, including occult invasion, underestimated disease extent, or imaging evolution incompatible with continued observation. By delineating both the capabilities and the epistemological limits of imaging, this review proposes a structured clinical decision framework in which imaging supports—but does not independently determine—risk-adapted management. Disciplined integration of imaging into multidisciplinary decision-making is essential to enable safe de-escalation, prevent false reassurance, and align DCIS care with patient-centred and value-based principles. Full article
(This article belongs to the Special Issue Diagnostic Radiology for Breast Cancer)
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