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Real-time evaluation of an image analysis system for monitoring surgical hemoglobin loss.
- Source :
-
Journal of clinical monitoring and computing [J Clin Monit Comput] 2018 Apr; Vol. 32 (2), pp. 303-310. Date of Electronic Publication: 2017 Apr 07. - Publication Year :
- 2018
-
Abstract
- Monitoring blood loss is important for management of surgical patients. This study reviews a device (Triton) that uses computer analysis of a photograph to estimate hemoglobin (Hb) mass present on surgical sponges. The device essentially does what a clinician does when trying to make a visual estimation of blood loss by looking at a sponge, albeit with less subjective variation. The performance of the Triton system is reported upon in during real-time use in surgical procedures. The cumulative Hb losses estimated using the Triton system for 50 enrolled patients were compared with reference Hb measurements during the first quarter, half, three-quarters and full duration of the surgery. Additionally, the estimated blood loss (EBL) was calculated using the Triton measured Hb loss and compared with values obtained from both visual estimation and gravimetric measurements. Hb loss measured by Triton correlated with the reference method across the four measurement intervals. Bias remained low and increased from 0.1 g in the first quarter to 3.7 g at case completion. The limits of agreement remained narrow and increased proportionally from the beginning to the end of the cases, reaching a maximum range of -15.3 to 22.7 g. The median (IQR) difference of EBL derived from the Triton system, gravimetric method and visual estimation versus the reference value were 13 (74), 389 (287), and 4 (230) mL, respectively. Use of the Triton system to measure Hb loss in real-time during surgery is feasible and accurate.
- Subjects :
- Adult
Algorithms
Data Interpretation, Statistical
Humans
Male
Monitoring, Intraoperative instrumentation
Prospective Studies
Reference Values
Reproducibility of Results
Software
Surgical Procedures, Operative
Blood Loss, Surgical
Hemoglobinometry instrumentation
Hemoglobins analysis
Image Processing, Computer-Assisted instrumentation
Image Processing, Computer-Assisted methods
Surgical Sponges
Subjects
Details
- Language :
- English
- ISSN :
- 1573-2614
- Volume :
- 32
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Journal of clinical monitoring and computing
- Publication Type :
- Academic Journal
- Accession number :
- 28389913
- Full Text :
- https://doi.org/10.1007/s10877-017-0016-0