Socio-Organizational Impact of Confocal Laser Endomicroscopy in Neurosurgery and Neuropathology: Results from a Process Analysis and Expert Survey.

clinical workflow analysis confocal laser endomicroscopy frozen sections healthcare processes neuropathology neurosurgery

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
16 Nov 2021
Historique:
received: 14 10 2021
revised: 04 11 2021
accepted: 09 11 2021
entrez: 27 11 2021
pubmed: 28 11 2021
medline: 28 11 2021
Statut: epublish

Résumé

During brain tumor resection surgery, it is essential to determine the tumor borders as the extent of resection is important for post-operative patient survival. The current process of removing a tissue sample for frozen section analysis has several shortcomings that might be overcome by confocal laser endomicroscopy (CLE). CLE is a promising new technology enabling the digital in vivo visualization of tissue structures in near real-time. Research on the socio-organizational impact of introducing this new methodology to routine care in neurosurgery and neuropathology is scarce. We analyzed a potential clinical workflow employing CLE by comparing it to the current process. Additionally, a small expert survey was conducted to collect data on the opinion of clinical staff working with CLE. While CLE can contribute to a workload reduction for neuropathologists and enable a shorter process and a more efficient use of resources, the effort for neurosurgeons and surgery assistants might increase. Experts agree that CLE offers huge potential for better diagnosis and therapy but also see challenges, especially due to the current state of experimental use, including a risk for misinterpretations and the need for special training. Future studies will show whether CLE can become part of routine care.

Identifiants

pubmed: 34829475
pii: diagnostics11112128
doi: 10.3390/diagnostics11112128
pmc: PMC8623423
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Bayrisches Staatsministerium für Wissenschaft und Kunst
ID : H.2-F1116.NU/20/3

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Auteurs

Marina L Fotteler (ML)

DigiHealth Institute, Neu-Ulm University of Applied Sciences, 89231 Neu-Ulm, Germany.
Institute for Geriatric Research at Agaplesion Bethesda Ulm, Ulm University, 89073 Ulm, Germany.

Friederike Liesche-Starnecker (F)

Department of Neuropathology, Institute of Pathology, School of Medicine, Technical University Munich, 81675 Munich, Germany.

Maria C Brielmaier (MC)

Department of Neuropathology, Institute of Pathology, School of Medicine, Technical University Munich, 81675 Munich, Germany.

Johannes Schobel (J)

DigiHealth Institute, Neu-Ulm University of Applied Sciences, 89231 Neu-Ulm, Germany.

Jens Gempt (J)

Department of Neurosurgery, School of Medicine, Klinikum Rechts der Isar, Technical University Munich, 81675 Munich, Germany.

Jürgen Schlegel (J)

Department of Neuropathology, Institute of Pathology, School of Medicine, Technical University Munich, 81675 Munich, Germany.

Walter Swoboda (W)

DigiHealth Institute, Neu-Ulm University of Applied Sciences, 89231 Neu-Ulm, Germany.

Classifications MeSH