Publications by authors named "Frederik Enders"

Article Synopsis
  • Augmented Reality (AR) enhances surgical procedures by aiding surgeons' spatial reasoning and providing visualizations of anatomical structures directly on the patient.
  • The review focuses on the current advancements and future possibilities of AR specifically in head and neck surgery.
  • It also discusses the potential benefits of AR while highlighting the challenges that need to be addressed for its effective implementation.
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Background: The aim of this clinical trial was to compare Fluorescein-stained intraoperative confocal laser endomicroscopy (CLE) of intracranial lesions and evaluation by a neuropathologist with routine intraoperative frozen section (FS) assessment by neuropathology.

Methods: In this phase II noninferiority, prospective, multicenter, nonrandomized, off-label clinical trial (EudraCT: 2019-004512-58), patients above the age of 18 years with any intracranial lesion scheduled for elective resection were included. The diagnostic accuracies of both CLE and FS referenced with the final histopathological diagnosis were statistically compared in a noninferiority analysis, representing the primary endpoint.

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Background:  Lower back pain is a frequent cause of emergency department visits and one of the leading causes of the disease burden worldwide. The purpose of this case report and literature review was to discuss atypical abdominal entities mimicking spinal diseases typically presenting with lower back pain.

Methods:  A 79-year-old man presented with lower back pain and urinary incontinence after receiving a non-image-guided lumbar infiltration treatment 4 weeks prior to admission.

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Background:  The preoperative preparation of the planning dataset for frame-based stereotactic brain biopsy is often associated with logistical effort and burden on the patient. Intraoperative imaging modalities need to be investigated to overcome these limitations.

Objective:  The objective of the study was to develop and apply a new method for the intraoperative acquisition of the planning dataset with the multiaxial robotic C-arm system Artis zeego.

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Background: Reliable on site classification of resected tumor specimens remains a challenge. Implementation of high-resolution confocal laser endoscopic techniques (CLEs) during fluorescence-guided brain tumor surgery is a new tool for intraoperative tumor tissue visualization. To overcome observer dependent errors, we aimed to predict tumor type by applying a deep learning model to image data obtained by CLE.

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Study Design: This is a retrospective study analysis.

Objective: In this retrospective study we evaluated risk factors for incidental durotomy and its impact on the postoperative course.

Summary Of Background Data: Lumbar interbody fusion (LIF) is increasingly applied for the treatment of degenerative instability.

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Objective: Brain metastases (BMs) are the most common malignant brain tumors in adults. Despite multimodal treatment options such as microsurgery, radiotherapy and chemotherapy, prognosis still remains very poor. Non-small cell lung cancer (NSCLC) constitutes the most common source of brain metastases.

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