| Literature DB >> 36010168 |
Fabian Mueck1, Moritz Hernandez Petzsche2, Tobias Boeckh-Behrens2, Christian Maegerlein2, Ulrich Linsenmaier1, Mariano Scaglione3, Claus Zimmer2, Benno Ikenberg4, Maria Berndt2.
Abstract
Purpose: Acute basilar artery occlusion, a neurovascular emergency leading to high rates of morbidity and mortality, is usually diagnosed by CT imaging. The outcome is partly dependent on etiology, with a worse outcome in occlusions with underlying basilar artery stenosis. As this occlusion type requires a more complex angiographic therapy, this study aimed to develop new CT markers in emergency admission imaging to rapidly identify underlying stenosis.Entities:
Keywords: CT-angiography; basilar artery occlusion; embolism; emergency; outcome; perviousness; stenosis; stroke; thrombus
Year: 2022 PMID: 36010168 PMCID: PMC9406658 DOI: 10.3390/diagnostics12081817
Source DB: PubMed Journal: Diagnostics (Basel) ISSN: 2075-4418
Figure 1Study flow chart: exact numbers and reasons for exclusion in the perviousness and validation cohort. CTA indicates computed tomographic angiography.
Figure 2Example of an assessment of CT imaging markers pure thrombus density (TD), absolute density loss (ADL), and CTA-index (relative thrombus attenuation) for a patient (male, 60 years) with an acute basilar artery occlusion. ROIs for measurements of mean Hounsfield Units (HU) were placed at the occlusion site (T) and a reference point (C).
Patient characteristics. Baseline demographic, clinical, and interventional data for the perviousness and validation cohort. Results of univariate comparisons between the two groups are displayed.
| Characteristics | Perviousness Cohort (n = 115) | Validation Cohort (n = 98) | Group Comparison ( |
|---|---|---|---|
| Age, y, median (IQR) | 74 (63–81) | 75 (63–82) | 0.63 |
| Sex, n (female/male) | 39/76 | 52/46 | <0.01 |
| Additional intravenous thrombolysis (n (%)) | 53 (46%) | 31 (32%) | 0.03 |
| Number of maneuvers (median/IQR) | 2 (1–3) | 1 (1–2) | <0.01 |
| mTICI-Score post recanalization (n in%) | 0–2a vs. 2b–3: | ||
| 0–2a | 7% | 11% | |
| 2b | 26% | 20% | |
| 3 | 67% | 69% | |
| Basilar artery stenosis (n/%) | 31 of 115 (27%) | 26 of 95 (27%) | 0.9 |
| Stenting in case of basilar artery stenosis (n/%) | 26 (84%) | 21 (81%) | 0.9 |
| Time interval (onset to the groin in min, median/IQR) | 240 (190–315) for n = 81 | 288 (192–465) for n = 68 | 0.03 |
| Procedure time (min, median/IQR) | 69 (45–120) | 41 (24–83) | <0.01 |
| NIHSS (median, IQR) | |||
| Pre-treatment (at admission) | 15 (10–22) | 10 (5–21) | 0.03 |
| Post-treatment (at discharge) | 11 (3–38) | 7.5 (2–42) | 0.49 |
| mRS-Score (90 days), n | n = 115 | n = 90 | |
| 0–3 (good clinical outcome) | 42 (36.5%) | 34 (37.8%) | 0.9 |
| >3 | 73 (63.5%) | 56 (62.2%) |
Figure 3Example of a patient (male, 60 years) with acute occlusion of the basilar artery. In admission imaging, CT markers for perviousness were assessed. During endovascular therapy, underlying stenosis was detected after the first mechanical thrombectomy, resulting in recurring thrombus formation and the necessity for further thrombectomy maneuvers and final angioplasty with permanent stent placement.
Figure 4Distribution of the measured imaging markers for the different etiological groups (according to TOAST) in (A) and for the presence of underlying basilar artery stenosis in (B), with significant differences for values of imaging markers between the groups of BS vs. no BS, respectively. TD: pure thrombus density in CTA, ADL: absolute density loss.
Figure 5Analyses to identify underlying basilar artery stenosis in acute basilar artery occlusions. Receiver operating characteristics (top) and sensitivity/specificity (bottom) curves of absolute density loss (ADL) and relative thrombus attenuation (CTA-index).