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rotterdam_ct_score

Rotterdam CT score

Traumatic brain injury CT Classification.

The Rotterdam CT score refined features of the Marshall score and was designed to categorize traumatic brain injury type and severity in adults. The score was developed for prognostic purposes.

The Rotterdam CT score provides great prognostic discrimination and is an independent predictor of unfavorable outcomes. Huang et al. suggest that the Rotterdam CT score be included as a prognosticator in the overall assessment of clinical condition of TBI patients before decompressive craniectomy (DC) 1).

Children with traumatic brain injury have better survival than adults in Rotterdam CT score categories representing less severe injuries but worse survival than adults in higher score categories. A novel, validated pediatric mortality model based on the Rotterdam score is accurate in children with moderate or severe traumatic brain injury and can be used for risk stratification 2).

Since its introduction in 2005, few studies have compared the performance of the Marshall CT classification and the Rotterdam CT score for predicting long-term outcome (neurological and mortality) of patients with TBI 3).

Scoring items

Basal cisterns

0: normal

1: compressed

2: absent

Midline shift

0: no shift or ⇐ 5mm

1: shift > 5mm

Epidural mass lesion

0: present

1: absent

Intraventricular blood or traumatic SAH

0: absent

1: present

Instructions for use

The final score is the sum of the scoring items + 1.

Mortality at 6 months post-injury

Score 1: 0%

Score 2: 7%

Score 3: 16%

Score 4: 26%

Score 5: 53%

Score 6: 61% 4).

1)
Huang YH, Deng YH, Lee TC, Chen WF. Rotterdam computed tomography score as a prognosticator in head-injured patients undergoing decompressive craniectomy. Neurosurgery. 2012 Jul;71(1):80-5. doi: 10.1227/NEU.0b013e3182517aa1. PubMed PMID: 22382208.
2)
Liesemer K, Riva-Cambrin J, Bennett KS, Bratton SL, Tran H, Metzger RR, Bennett TD. Use of Rotterdam CT scores for mortality risk stratification in children with traumatic brain injury. Pediatr Crit Care Med. 2014 Jul;15(6):554-62. doi: 10.1097/PCC.0000000000000150. PubMed PMID: 24751786; PubMed Central PMCID: PMC4087067.
3)
Raj R, Siironen J, Skrifvars MB, Hernesniemi J, Kivisaari R. Predicting outcome in traumatic brain injury: development of a novel computerized tomography classification system (Helsinki computerized tomography score). Neurosurgery. 2014 Dec;75(6):632-46; discussion 646-7. doi: 10.1227/NEU.0000000000000533. PubMed PMID: 25181434.
4)
Maas AIR, Hukkelhoven CWPM, Marshall LF, Steyerberg EW. Prediction of outcome in traumatic brain injury with computed tomographic characteristics: a comparison between the computed tomographic classification and combinations of computed tomographic predictors. Neurosurgery. 2005 Dec.;57(6):1173-82
rotterdam_ct_score.txt · Last modified: 2016/07/10 19:38 (external edit)