Multidisciplinary Diagnostic Approaches to Infectious Pathologies in Surgical Specialties
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Diagnostic Microbiology and Infectious Disease".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 3
Special Issue Editors
2. Emergency Hospital-Surgery Department, Elias University, 020021 Bucharest, Romania
Interests: general surgery; abdominal surgery; emergency surgery; endocrine surgery
Interests: minimal invasive surgery; endocrine surgery; breast cancer
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Infectious complications in surgical specialties remain a formidable challenge, driving morbidity, mortality, and healthcare costs while being further exacerbated by antimicrobial resistance. The effective management of these infections demands precision diagnostics, timely intervention, and—critically—a collaborative framework that transcends traditional silos in surgical practice.
This Special Issue of Diagnostics highlights the pivotal role of multidisciplinary synergy in diagnosing and managing surgical infectious pathologies. We invite contributions that explore advanced diagnostic modalities (e.g., molecular imaging, rapid microbiological assays, and AI-driven diagnostics), innovative therapeutic strategies, and the integrative decision-making processes essential for optimal outcomes. Key themes include the following:
- Diagnostic advancements: Novel technologies and protocols for early, accurate detection of surgical infections.
- Interdisciplinary collaboration: Roles of surgeons, infectious disease specialists, microbiologists, radiologists, and pathologists in joint diagnostics and treatment planning.
- Antimicrobial stewardship: Diagnostic tools to guide targeted therapy amid rising resistance.
- Case-based insights: Practical applications of multidisciplinary approaches in diverse surgical settings.
By curating high-quality research and reviews, this Special Issue aims at bridging gaps between theory and practice, offering clinicians, researchers, and policymakers actionable insights to enhance patient safety and global surgical infection management. We welcome original studies, meta-analyses, and forward-looking perspectives that underscore the transformative potential of diagnostics in multidisciplinary care.
Dr. Elena Adelina Toma
Dr. Octavian Enciu
Guest Editors
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
- surgical infections
- diagnostic advancements
- antimicrobial resistance
- molecular diagnostics
- radiological imaging
- microbiological assays
- AI-driven diagnostics
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