AIMC Topic: Neuroma, Acoustic

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Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI.

International journal of computer assisted radiology and surgery Jul 16, 2020
PURPOSE: Management of vestibular schwannoma (VS) is based on tumour size as observed on T1 MRI scans with contrast agent injection. The current clinical practice is to measure the diameter of the tumour in its largest dimension. It has been shown th...
Machine Learning Software Reproducibility of Results Diagnosis, Computer-Assisted Pattern Recognition, Automated Algorithms Neuroimaging Humans Neuroma, Acoustic Neurilemmoma Image Processing, Computer-Assisted Magnetic Resonance Imaging Contrast Media Automation
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Fractionated stereotactic radiation therapy for vestibular schwannomas: Dosimetric factors predictive of hearing outcomes.

Practical radiation oncology Dec 3, 2015
PURPOSE: To determine dosimetric factors predictive of hearing loss in vestibular schwannoma (VS) patients treated with definitive fractionated stereotactic radiation therapy (FSRT), and to report tumor control, serviceable hearing preservation, and ...
Radiometry Neuroma, Acoustic Adult Hearing Aged Middle Aged Male Humans Hearing Loss Treatment Outcome Female Young Adult
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The implementation of artificial intelligence in serial monitoring of post gamma knife vestibular schwannomas: A pilot study.

Clinical imaging Jul 1, 2025
BACKGROUND: Vestibular schwannomas (VS) are benign tumors that can lead to hearing loss, balance issues, and tinnitus. Gamma Knife Radiosurgery (GKS) is a common treatment for VS, aimed at halting tumor growth and preserving neurological function. Ac...
Male Humans Middle Aged Artificial Intelligence Aged Retrospective Studies Adult Female Magnetic Resonance Imaging Algorithms Radiosurgery Neuroma, Acoustic Pilot Projects Treatment Outcome
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A fully automatic radiomics pipeline for postoperative facial nerve function prediction of vestibular schwannoma.

Neuroscience May 14, 2025
Vestibular schwannoma (VS) is the most prevalent intracranial schwannoma. Surgery is one of the options for the treatment of VS, with the preservation of facial nerve (FN) function being the primary objective. Therefore, postoperative FN function pre...
Humans Neural Networks, Computer Radiomics Male Middle Aged Female Adult Facial Nerve Neuroma, Acoustic Deep Learning Magnetic Resonance Imaging
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The impact of artificial intelligence in the diagnosis and management of acoustic neuroma: A systematic review.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Schwann cell sheaths are the source of benign, slowly expanding tumours known as acoustic neuromas (AN). The diagnostic and treatment approaches for AN must be patient-centered, taking into account unique factors and preferences.
Deep Learning Neuroma, Acoustic Humans Artificial Intelligence Machine Learning
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Artificial Intelligence Opportunities for Vestibular Schwannoma Management Using Image Segmentation and Clinical Decision Tools.

World neurosurgery May 1, 2021
Neuroma, Acoustic Image Processing, Computer-Assisted Disease Management Artificial Intelligence Clinical Decision-Making Humans
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Cadaveric Testing of Robot-Assisted Access to the Internal Auditory Canal for Vestibular Schwannoma Removal.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology Mar 1, 2017
HYPOTHESIS: An image-guided robotic system can safely perform the bulk removal of bone during the translabyrinthine approach to vestibular schwannoma (VS).
Temporal Bone Otologic Surgical Procedures Neuroma, Acoustic Robotics Surgery, Computer-Assisted Humans Cadaver Tomography, X-Ray Computed
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