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Optical Methods for...
Optical Methods for Brain Tumor Detection : A Systematic Review
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- Burström, Gustav (författare)
- Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden
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- Amini, Misha (författare)
- Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden
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- El-Hajj, Victor Gabriel (författare)
- Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden
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- Arfan, Arooj (författare)
- Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden
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- Gharios, Maria (författare)
- Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden
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- Buwaider, Ali (författare)
- Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden
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- Losch, Merle S. (författare)
- Department of Biomechanical Engineering, Faculty of Mechanical Engineering, Delft University of Technology, 2627 Delft, The Netherlands
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- Manni, Francesca (författare)
- Department of Electrical Engineering, Eindhoven University of Technology (TU/e), 5612 Eindhoven, The Netherlands
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- Edström, Erik, 1975- (författare)
- Örebro universitet,Institutionen för medicinska vetenskaper,Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden; Capio Spine Center Stockholm, Löwenströmska Hospital, 194 80 Upplands-Väsby, Sweden; Department of Medical Sciences, Örebro University, 701 85 Örebro, Sweden
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- Elmi-Terander, Adrian, 1971- (författare)
- Örebro universitet,Institutionen för medicinska vetenskaper,Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden; Capio Spine Center Stockholm, Löwenströmska Hospital, 194 80 Upplands-Väsby, Sweden; Department of Medical Sciences, Örebro University, 701 85 Örebro, Sweden; Department of Surgical Sciences, Uppsala University, 751 35 Uppsala, Sweden
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(creator_code:org_t)
- MDPI, 2024
- 2024
- Engelska.
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Ingår i: Journal of Clinical Medicine. - : MDPI. - 2077-0383. ; 13:9
- Relaterad länk:
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https://doi.org/10.3...
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https://urn.kb.se/re...
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https://doi.org/10.3...
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Abstract
Ämnesord
Stäng
- Background: In brain tumor surgery, maximal tumor resection is typically desired. This is complicated by infiltrative tumor cells which cannot be visually distinguished from healthy brain tissue. Optical methods are an emerging field that can potentially revolutionize brain tumor surgery through intraoperative differentiation between healthy and tumor tissues.Methods: This study aimed to systematically explore and summarize the existing literature on the use of Raman Spectroscopy (RS), Hyperspectral Imaging (HSI), Optical Coherence Tomography (OCT), and Diffuse Reflectance Spectroscopy (DRS) for brain tumor detection. MEDLINE, Embase, and Web of Science were searched for studies evaluating the accuracy of these systems for brain tumor detection. Outcome measures included accuracy, sensitivity, and specificity.Results: In total, 44 studies were included, covering a range of tumor types and technologies. Accuracy metrics in the studies ranged between 54 and 100% for RS, 69 and 99% for HSI, 82 and 99% for OCT, and 42 and 100% for DRS.Conclusions: This review provides insightful evidence on the use of optical methods in distinguishing tumor from healthy brain tissue.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
Nyckelord
- Raman spectroscopy
- accuracy
- diffuse reflectance spectroscopy
- hyperspectral imaging
- neuro-oncology
- optical coherence tomography
- review
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Burström, Gustav
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Amini, Misha
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El-Hajj, Victor ...
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Arfan, Arooj
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Gharios, Maria
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Buwaider, Ali
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visa fler...
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Losch, Merle S.
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Manni, Francesca
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Edström, Erik, 1 ...
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Elmi-Terander, A ...
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Örebro universitet