The Role of Spectral Tissue Sensing During Lumbar Transforaminal Epidural Injection
Autor: | Stefan Roggeveen, Geert Gijsbers, Alfons Kessel, Arno Lataster, Carsten W.K.P. Arnoldussen, Micha Sommer, Maarten van Kleef, Marjolein Van Der Voort, Andrea J.R. Balthasar, Gerald W. Lucassen |
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Přispěvatelé: | MUMC+: MA Anesthesiologie (9), Anatomie & Embryologie, Anesthesiologie, RS: MHeNs - R3 - Neuroscience, RS: FHML non-thematic output |
Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
Adult
Male Light Injections Epidural Lumbar vertebrae Radiography Interventional 03 medical and health sciences Sensing data 0302 clinical medicine Lumbar 030202 anesthesiology Predictive Value of Tests medicine Back pain Fluoroscopy Humans Scattering Radiation Single-Blind Method Prospective Studies Least-Squares Analysis Ultrasonography Interventional Aged Lumbar Vertebrae medicine.diagnostic_test business.industry Spectrum Analysis Ultrasound Angiography Digital Subtraction Discriminant Analysis General Medicine Digital subtraction angiography Middle Aged medicine.disease Analgesia Epidural Anesthesiology and Pain Medicine medicine.anatomical_structure Radicular pain Back Pain Needles Female medicine.symptom Nuclear medicine business 030217 neurology & neurosurgery |
Zdroj: | Regional Anesthesia and Pain Medicine, 41(4), 520-526. LIPPINCOTT WILLIAMS & WILKINS |
ISSN: | 1098-7339 |
DOI: | 10.1097/aap.0000000000000419 |
Popis: | Spectral tissue sensing (STS) exploits the scattering and absorption of light by tissue. The main objective of the present study was to determine whether STS can discriminate between correct and incorrect placement of the needle tip during lumbar transforaminal epidural injection. This was a single-blind prospective observational study in 30 patients with lumbar radicular pain scheduled for lumbar transforaminal epidural injection. Spectral tissue sensing data from the needle tip were acquired along the needle trajectory at 4 predefined measurement points and compared with ultrasound, fluoroscopy, and digital subtraction angiography images. Spectral tissue sensing data contained the full spectra. The lipid and hemoglobin content at the different measurement points was also calculated, and partial least-squares discriminant analysis was used to estimate the sensitivity and specificity of STS. Spectral tissue sensing identified correct needle placement with a sensitivity of 57% and a specificity of 82%, and intraforaminal versus extraforaminal locations were identified with a sensitivity of 80% and a specificity of 71%. |
Databáze: | OpenAIRE |
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