Aim: To describe a 3 years experience of peripheral arterial embolization with Micro Vascular Plug (MVP) (Medtronic, USA).
Materials And Methods: The following parameters were investigated: type of vascular injury, anticoagulation therapy at time of procedure, anatomical district, caliper of the target artery, course of the landing zone, additional embolics, technical and clinical success, device related clinical complications. Technical success was defined as complete embolization without deployment of additional embolics after MVP release. Primary clinical success was considered as hemodynamic stability in emergency setting and resolution of the underlying vascular pathology in elective cases; secondary clinical success was considered clinical success after a second embolization session.
Results: 116 MVP have been released in 104 patients (67 males and 37 females; mean age 61.3 years). The pullback release technique was adopted in each case. 85 patients were treated in emergent settings while in 19 patients the procedure was scheduled. The overall technical success was 75%. Primary clinical success was 96.1%, secondary clinical success 3% and clinical failure 0.9%. No statistical differences in terms of effectiveness were observed among patients assuming anticoagulation (p-value = 0.6). A straight and longer landing zone were statistically associated with higher technical success compared to curved and shorter ones, (p-values < 0.001 and = 0.048 respectively). MVP-3 and MVP-5 were the most frequently adopted models in this sample, in 29.8% and 49% of the patients respectively. No clinically adverse events directly related to MVP occurred; in 3 cases device migration was registered without clinical complications.
Conclusion: MVP is a safe and effective embolic agent. While eventual concomitant anticoagulation therapy did not influence the technical outcome, straight course and length of the landing zone are essential parameters to evaluate before deployment.
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http://dx.doi.org/10.1186/s42155-021-00246-2 | DOI Listing |
J Cancer Res Ther
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Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Lung Cancer Institute, Shandong, China.
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Department of Cardiovascular & Thoracic Surgery, Sandra Atlas Bass Heart Hospital at North Shore University Hospital, Northwell Health, 300 Community Drive, 1 DSU, Manhasset, NY, 11030, USA.
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Recent Findings: Safe and effective mobilization of patients with cardiogenic shock receiving tMCS can be accomplished.
Clin Oral Investig
January 2025
Sir John Walsh Research Institute, Faculty of Dentistry, University of Otago, Dunedin, New Zealand.
Objectives: The aim of this systematic review was to assess the effect of DM (Type 1 and Type 2 Diabetes) and hyperglycaemia on the physical and mechanical properties of dentine which is critical for successful endodontic treatment.
Method: An electronic search of the following databases: PubMed, MEDLINE, Web of Science and the grey literature was performed up until July 2024. In vitro and in vivo studies on the effect of DM or hyperglycaemia on the mechanical and physical properties of dentine were included.
Neurosurg Rev
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Department of Neurointervention, The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan, China.
To evaluate the safety and efficacy of staged coiling followed by flow diverter (FD) in the treatment of ruptured intracranial aneurysms(RIAs). A retrospective analysis was conducted on 20 patients with RIAs treated with staged coiling followed by FD at a single center, between April 2015 and September 2024. Patient demographics, aneurysm characteristics, clinical and imaging outcomes were reviewed.
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January 2025
Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom; Faculty of Medicine, Health and Social Care, Canterbury Christ Church University, United Kingdom.
This narrative review examines the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in organ retrieval and transplantation. AI and ML technologies enhance donor-recipient matching by integrating and analyzing complex datasets encompassing clinical, genetic, and demographic information, leading to more precise organ allocation and improved transplant success rates. In surgical planning, AI-driven image analysis automates organ segmentation, identifies critical anatomical features, and predicts surgical outcomes, aiding pre-operative planning and reducing intraoperative risks.
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