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1000 Titel
  • Neurosurgeons and the fight with COVID-19: a position statement from the EANS Individual Membership Committee
1000 Autor/in
  1. Ganau, Mario |
  2. Netuka, David |
  3. Broekman, Marike |
  4. Zoia, Cesare |
  5. Tsianaka, Eleni |
  6. Schwake, Michael |
  7. Balak, Naci |
  8. Sekhar, Amitendu |
  9. Ridwan, Sami |
  10. Clusmann, Hans |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-05-29
1000 Erschienen in
1000 Quellenangabe
  • 162(8):1777-1782
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00701-020-04360-3 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7258601/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background!#!The BLUE 400 filter system (Carl Zeiss Meditec, Oberkochen, Germany) has provided visualization of 5-ALA-induced fluorescence-guided surgery for more than 20 years. Nevertheless, constraints, e.g., limited background discrimination during hemostasis, obstruct fluency of surgery. A novel filter with improved background visualization was developed, requiring validation regarding fluorescence discrimination. The aim of this article is to determine diagnostic accuracy and perception of protoporphyrin IX (PpIX) discrimination of a novel filter system with higher background illumination (BLUE 400 AR) compared with the gold standard, BLUE 400.!##!Methods!#!A surgical microscope equipped with both BLUE 400 and BLUE 400 AR was used. Comparisons were performed on a biological basis and on the visual perception of margins. High-resolution images were compared during and after surgery by senior neurosurgeons. In a predefined biopsy algorithm, four biopsies per patient at tumor margins of PpIX fluorescence and adjacent brain were acquired using BLUE 400 AR only from regions intended for resection and assessed for cell count and density.!##!Results!#!Thirty-two patients with malignant gliomas were included in this study. BLUE 400 AR markedly enhanced the brightness of the surgical field, allowing superior discrimination of brain anatomy. A total of 128 biopsies from fluorescence margins were collected. Positive predictive value (PPV) was 98.44% (95% CI, 90.06-99.77%) for malignant glioma. Residual median cell density in non-fluorescent tissue was 13% (IQR 13 to 31). Perception of the location of fluorescent margins on HD images was equivalent for both filter combinations.!##!Conclusions!#!BLUE 400 AR demonstrated superior background compared with conventional BLUE 400 in malignant glioma surgery but comparable fluorescence margins and PPV. Therefore, BLUE 400 AR can be considered safe and effective in supporting malignant glioma surgery.
1000 Sacherschließung
lokal Neurology
gnd 1206347392 COVID-19
lokal Neurosurgeons [MeSH]
lokal Stress, Psychological [MeSH]
lokal Humans [MeSH]
lokal Communication [MeSH]
lokal Neuroradiology
lokal Neurosurgery
lokal Coronavirus Infections/epidemiology [MeSH]
lokal Access to Information [MeSH]
lokal Editorial
lokal Minimally Invasive Surgery
lokal Europe/epidemiology [MeSH]
lokal Pandemics [MeSH]
lokal Societies, Medical [MeSH]
lokal Personal Protective Equipment [MeSH]
lokal COVID-19 [MeSH]
lokal Betacoronavirus [MeSH]
lokal Pneumonia, Viral/epidemiology [MeSH]
lokal SARS-CoV-2 [MeSH]
lokal Surgical Orthopedics
lokal Neurosurgery [MeSH]
lokal Interventional Radiology
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/R2FuYXUsIE1hcmlv|https://frl.publisso.de/adhoc/uri/TmV0dWthLCBEYXZpZA==|https://frl.publisso.de/adhoc/uri/QnJvZWttYW4sIE1hcmlrZQ==|https://frl.publisso.de/adhoc/uri/Wm9pYSwgQ2VzYXJl|https://frl.publisso.de/adhoc/uri/VHNpYW5ha2EsIEVsZW5p|https://frl.publisso.de/adhoc/uri/U2Nod2FrZSwgTWljaGFlbA==|https://frl.publisso.de/adhoc/uri/QmFsYWssIE5hY2k=|https://frl.publisso.de/adhoc/uri/U2VraGFyLCBBbWl0ZW5kdQ==|https://frl.publisso.de/adhoc/uri/Umlkd2FuLCBTYW1p|https://orcid.org/0000-0001-8258-9346
1000 Hinweis
  • DeepGreen-ID: 4ea8731f632744599cacb0cd1ee096d1 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 @id frl:6467182.rdf
1000 Erstellt am 2023-11-17T08:14:08.872+0100
1000 Erstellt von 322
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1000 Zuletzt bearbeitet 2023-12-01T05:40:05.444+0100
1000 Objekt bearb. Fri Dec 01 05:40:05 CET 2023
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1000 Oai Id
  1. oai:frl.publisso.de:frl:6467182 |
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