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Accuracy of bedside bidimensional transcranial ultrasound versus tomodensitometric measurement of the third ventricle.
- Source :
-
Journal of neuroimaging : official journal of the American Society of Neuroimaging [J Neuroimaging] 2022 Jul; Vol. 32 (4), pp. 629-637. Date of Electronic Publication: 2022 Jan 26. - Publication Year :
- 2022
-
Abstract
- Background and Purpose: To evaluate the accuracy of transcranial duplex sonography (TCS) for measuring the diameter of the third ventricle (DTV) and the brain midline shift (MLS), as compared to cerebral CT.<br />Methods: Single-center retrospective study including 177 patients admitted to the neurological intensive care unit (NICU). We studied the correlation between TCS and CT measurements of DTV and MLS using a Bland-Altman analysis. The best threshold of DTV to diagnose acute hydrocephalus was evaluated with a receiver operating characteristic (ROC) analysis.<br />Results: We analyzed 177 pairs of CT-TCS measurements for DTV and 165 for MLS. The mean time interval between CT and TCS was 87 ± 73 minutes. Median DTV measurement on CT was 4 ± 3 mm, and 5 ± 3 mm by TCS. Median MLS on CT was 2 ± 3 mm, and 2 ± 4 mm by TCS. The Pearson correlation coefficient (r <superscript>2</superscript> ) was .96 between TCS and CT measurements (p < .001). The Bland-Altman analysis found a proportional bias of 0.69 mm for the DTV with a limit of agreement ranging between -3.04 and 2.53 mm. For the MLS, the proportional bias was 0.23 mm with limits of agreements between -3.5 and 3.95. The area under the ROC curve was .97 for the detection of hydrocephalus by DTV on TCS, with a best threshold of 5.72 mm (Sensitivity [Se] = 92% Specificity [Sp] = 92.1%).<br />Conclusions: TCS seems to be a reliable and accurate bedside technique for measuring both DTV and MLS, which might allow detection of acute hydrocephalus among NICU patients.<br /> (© 2022 The Authors. Journal of Neuroimaging published by Wiley Periodicals LLC on behalf of American Society of Neuroimaging.)
Details
- Language :
- English
- ISSN :
- 1552-6569
- Volume :
- 32
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Journal of neuroimaging : official journal of the American Society of Neuroimaging
- Publication Type :
- Academic Journal
- Accession number :
- 35083801
- Full Text :
- https://doi.org/10.1111/jon.12970