New Insights into Vascular Surgery

A special issue of Surgeries (ISSN 2673-4095).

Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 301

Special Issue Editors


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Guest Editor
1. Department of Surgery, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
2. Einthoven Laboratory for Experimental Vascular Medicine Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
Interests: experimental vascular medicine; blood vessel; arteriogenesis
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Surgery, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
Interests: surgery

Special Issue Information

Dear Colleagues,

The treatment of vascular disease depends on the type and severity of the disease. Vascular surgery has recently experienced a renaissance in treatment algorithms with the introduction of minimally invasive and catheter-based techniques. Open and endovascular techniques are the cornerstones of vascular surgery and are used to treat a variety of diseases in various vascular "beds" or target vessels.

Patients requiring vascular surgery are older subjects with several comorbidities, including frailty problems and increased vulnerability. Treating such patients has become an important challenge for vascular surgeons and dedicated nurses, as these patients are more susceptible to complications during the postoperative and discharge periods. Vascular nursing is a discipline that provides patients in the field of vascular surgery with comprehensive, optimized care; better postoperative outcomes; and coordinated, standardized, and cost-effective clinical pathways. Perhaps no specialty has seen faster progress and advances in the delivery of care than vascular surgery.

Vascular surgery depends substantially on diagnostic imaging and large amounts of patient data. AI’s ability to analyze this data, detect patterns, and draw conclusions exceeds human capabilities and has been shown to be beneficial in patient treatment and outcomes. In the future, the decision-making process will be aided by artificial intelligence.

This Special Issue aims to report on recent advances in vascular surgery. We are looking for high-quality papers that promote the scientific exchange of this knowledge.

Prof. Dr. Paul Quax
Dr. Abbey Schepers
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. Surgeries is an international peer-reviewed open access quarterly 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 1200 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

  • vascular surgery
  • endovascular surgery
  • vascular diseases
  • vascular imaging
  • aortic dissection
  • endovascular aneurysm
  • artificial intelligence

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Published Papers

There is no accepted submissions to this special issue at this moment.
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