Behme, Daniel

[["dc.bibliographiccitation.artnumber","100114"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Journal of Thrombosis and Circulation"],["dc.bibliographiccitation.volume","2"],["dc.contributor.author","Amelung, Nadine"],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Knauth, Michael"],["dc.contributor.author","Psychogios, Marios Nikos"],["dc.date.accessioned","2019-07-10T08:12:03Z"],["dc.date.available","2019-07-10T08:12:03Z"],["dc.date.issued","2016"],["dc.description.abstract","Flat panel detectors have revolutionized tomographic imaging in the angio suite. Recent developments in hardware and software have improved soft tissue resolution and acquisition time even further, enabling soft-tissue and perfusion imaging within the angio suite. The so called “one-stop-shop” stroke imaging with flat panel detector computed tomography (FDCT) will significantly improve door to groin times and probably have an impact on patient outcome. In the presented case a patient underwent multidetector CT (MDCT) to exclude hemorrhage, then MDCT angiography (MDCTA) to identify the occluded vessel, and MDCT perfusion (MDCTP) for penumbra imaging. Patient’s symptoms significantly improved during transport to the angiography suite. Thus, prior to intervention, multimodal FDCT with vessel and perfusion imaging was acquired and ultimately led to cancelation of the interventional therapy. In this clinical scenario, multimodal FDCT imaging can provide quick answers and eliminate the risk of an invasive angiography in cases of reperfusion prior to mechanical thrombectomy."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2016"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14210"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60849"],["dc.language.iso","en"],["dc.notes.intern","Migrated from goescholar"],["dc.rights","CC BY 4.0"],["dc.rights.access","openAccess"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject","Flatdetector; Stroke; imaging; Onestopshop; Rotationa; Angiography; Thrombectomy; Thrombolysis; Flatdetector; CTangiography"],["dc.subject.ddc","610"],["dc.title","Evaluation of an Acute Stroke Patient with Flat Detector CT Prior to Mechanical Thrombectomy"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","BMC Neurology"],["dc.bibliographiccitation.volume","20"],["dc.contributor.author","Tsogkas, Ioannis"],["dc.contributor.author","Malinova, Vesna"],["dc.contributor.author","Schregel, Katharina"],["dc.contributor.author","Mielke, Dorothee"],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Rohde, Veit"],["dc.contributor.author","Knauth, Michael"],["dc.contributor.author","Psychogios, Marios-Nikos"],["dc.date.accessioned","2021-04-14T08:25:15Z"],["dc.date.available","2021-04-14T08:25:15Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1186/s12883-020-01792-3"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17436"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/81571"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.notes.intern","Merged from goescholar"],["dc.relation.eissn","1471-2377"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Angioplasty with the scepter C dual lumen balloon catheter and postprocedural result evaluation in patients with subarachnoid hemorrhage related vasospasms"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","PloS one"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Maier, Ilko L."],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Schnieder, Marlena"],["dc.contributor.author","Tsogkas, Ioannis"],["dc.contributor.author","Schregel, Katharina"],["dc.contributor.author","Bähr, Mathias"],["dc.contributor.author","Knauth, Michael"],["dc.contributor.author","Liman, Jan"],["dc.contributor.author","Psychogios, Marios-Nikos"],["dc.date.accessioned","2018-01-08T17:09:39Z"],["dc.date.available","2018-01-08T17:09:39Z"],["dc.date.issued","2017"],["dc.description.abstract","Identification of patients requiring decompressive hemicraniectomy (DH) after endovascular therapy (EVT) is crucial as clinical signs are not reliable and early DH has been shown to improve clinical outcome. The aim of our study was to identify imaging-based scores to predict the risk for space occupying ischemic stroke and DH."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2017"],["dc.identifier.doi","10.1371/journal.pone.0173737"],["dc.identifier.pmid","28282456"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14394"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/11572"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation.eissn","1932-6203"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Early computed tomography-based scores to predict decompressive hemicraniectomy after endovascular therapy in acute ischemic stroke"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e0202592"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","PLOS ONE"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Maier, Ilko L."],["dc.contributor.author","Scalzo, Fabien"],["dc.contributor.author","Leyhe, Johanna R."],["dc.contributor.author","Schregel, Katharina"],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Tsogkas, Ioannis"],["dc.contributor.author","Psychogios, Marios-Nikos"],["dc.contributor.author","Liebeskind, David S."],["dc.date.accessioned","2019-07-09T11:46:07Z"],["dc.date.available","2019-07-09T11:46:07Z"],["dc.date.issued","2018"],["dc.description.abstract","BACKGROUND: The pivotal impact of collateral circulation on outcomes in endovascular therapy has fueled the development of numerous CTA collateral scales, yet synchronized validation with conventional angiography has never occurred. We validated multiphase flat-detector CTA (mpFDCTA) for collateral imaging in patients undergoing endovascular stroke treatment. MATERIALS AND METHODS: Consecutive acute ischemic stroke patient data, including mpFDCTA shortly followed by digital subtraction angiography (DSA), in the setting of acute ICA- or MCA-occlusions were analyzed. An independent core lab scored mpFDCTA with an established collateral scale and separately graded American Society of Interventional and Therapeutic Neuroradiology (ASITN) collateral score on DSA, blind to all other data. RESULTS: 24 consecutive cases (age 76.7 ± 7.3 years; 58.3% women; baseline NIHSS median 17 (4-23)) of acute ICA- or MCA-occlusion were analyzed. Time from mpFDCTA to intracranial DSA was 23.04 ± 7.6 minutes. Median mpFDCTA collateral score was 3 (0-5) and median DSA ASITN collateral score was 2 (0-3), including the full range of potential collateral grades. mpFDCTA and ASITN collateral score were strongly correlated (r = 0.86, p<0.001). mpFDCTA provided more complete collateral data compared to selective DSA injections in cases of ICA-occlusion. ROC analyses for prediction of clinical outcomes revealed an AUC of 0.76 for mpFDCTA- and 0.70 for DSA ASITN collaterals. CONCLUSIONS: mpFDCTA in the angiography suite provides a validated measure of collaterals, offering distinct advantages over conventional angiography. Direct patient transfer to the angiography suite and mpFDCTA collateral grading provides a novel and reliable triage paradigm for acute ischemic stroke."],["dc.identifier.doi","10.1371/journal.pone.0202592"],["dc.identifier.pmid","30142167"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15394"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59377"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.intern","In goescholar not merged with http://resolver.sub.uni-goettingen.de/purl?gs-1/15695 but duplicate"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","610"],["dc.title","Validation of collateral scoring on flat-detector multiphase CT angiography in patients with acute ischemic stroke"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","BMC Neurology"],["dc.bibliographiccitation.volume","20"],["dc.contributor.author","Daniel, Behme"],["dc.contributor.author","Henrik, Sack"],["dc.contributor.author","Ioannis, Tsogkas"],["dc.contributor.author","Veit, Rohde"],["dc.contributor.author","Marios-Nikos, Psychogios"],["dc.date.accessioned","2020-12-10T18:38:53Z"],["dc.date.available","2020-12-10T18:38:53Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1186/s12883-020-1623-9"],["dc.identifier.eissn","1471-2377"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17147"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77469"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.relation.haserratum","/handle/2/81977"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","SMART coils for intracranial aneurysm repair – a single center experience"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Frontiers in Neurology"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Maier, Ilko L."],["dc.contributor.author","Schramm, Katarina"],["dc.contributor.author","Bähr, Mathias"],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Psychogios, Marios-Nikos"],["dc.contributor.author","Liman, Jan"],["dc.date.accessioned","2022-01-11T14:06:14Z"],["dc.date.available","2022-01-11T14:06:14Z"],["dc.date.issued","2021"],["dc.description.abstract","Background: Patients with large vessel occlusion stroke (LVOS) eligible for mechanical thrombectomy (MT) are at risk for stroke- and non-stroke-related complications resulting in the need for tracheostomy (TS). Risk factors for TS have not yet been systematically investigated in this subgroup of stroke patients. Methods: Prospectively derived data from patients with LVOS and MT being treated in a large, academic neurological ICU (neuro-ICU) between 2014 and 2019 were analyzed in this single-center study. Predictive value of peri- and post-interventional factors, stroke imaging, and pre-stroke medical history were investigated for their potential to predict tracheostomy during ICU stay using logistic regression models. Results: From 635 LVOS-patients treated with MT, 40 (6.3%) underwent tracheostomy during their neuro-ICU stay. Patients receiving tracheostomy were younger [71 (62–75) vs. 77 (66–83), p < 0.001], had a higher National Institute of Health Stroke Scale (NIHSS) at baseline [18 (15–20) vs. 15 (10–19), p = 0.009] as well as higher rates of hospital acquired pneumonia (HAP) [39 (97.5%) vs. 224 (37.6%), p < 0.001], failed extubation [15 (37.5%) vs. 19 (3.2%), p < 0.001], sepsis [11 (27.5%) vs. 16 (2.7%), p < 0.001], symptomatic intracerebral hemorrhage [5 (12.5%) vs. 22 (3.9%), p = 0.026] and decompressive hemicraniectomy (DH) [19 (51.4%) vs. 21 (3.8%), p < 0.001]. In multivariate logistic regression analysis, HAP (OR 21.26 (CI 2.76–163.56), p = 0.003], Sepsis [OR 5.39 (1.71–16.91), p = 0.004], failed extubation [OR 8.41 (3.09–22.93), p < 0.001] and DH [OR 9.94 (3.92–25.21), p < 0.001] remained as strongest predictors for TS. Patients with longer periods from admission to TS had longer ICU length of stay ( r = 0.384, p = 0.03). There was no association between the time from admission to TS and clinical outcome (NIHSS at discharge: r = 0.125, p = 0.461; mRS at 90 days: r = −0.179, p = 0.403). Conclusions: Patients with LVOS undergoing MT are at high risk to require TS if extubation after the intervention fails, DH is needed, and severe infectious complications occur in the acute phase after ischemic stroke. These factors are likely to be useful for the indication and timing of TS to reduce overall sedation and shorten ICU length of stay."],["dc.description.abstract","Background: Patients with large vessel occlusion stroke (LVOS) eligible for mechanical thrombectomy (MT) are at risk for stroke- and non-stroke-related complications resulting in the need for tracheostomy (TS). Risk factors for TS have not yet been systematically investigated in this subgroup of stroke patients. Methods: Prospectively derived data from patients with LVOS and MT being treated in a large, academic neurological ICU (neuro-ICU) between 2014 and 2019 were analyzed in this single-center study. Predictive value of peri- and post-interventional factors, stroke imaging, and pre-stroke medical history were investigated for their potential to predict tracheostomy during ICU stay using logistic regression models. Results: From 635 LVOS-patients treated with MT, 40 (6.3%) underwent tracheostomy during their neuro-ICU stay. Patients receiving tracheostomy were younger [71 (62–75) vs. 77 (66–83), p < 0.001], had a higher National Institute of Health Stroke Scale (NIHSS) at baseline [18 (15–20) vs. 15 (10–19), p = 0.009] as well as higher rates of hospital acquired pneumonia (HAP) [39 (97.5%) vs. 224 (37.6%), p < 0.001], failed extubation [15 (37.5%) vs. 19 (3.2%), p < 0.001], sepsis [11 (27.5%) vs. 16 (2.7%), p < 0.001], symptomatic intracerebral hemorrhage [5 (12.5%) vs. 22 (3.9%), p = 0.026] and decompressive hemicraniectomy (DH) [19 (51.4%) vs. 21 (3.8%), p < 0.001]. In multivariate logistic regression analysis, HAP (OR 21.26 (CI 2.76–163.56), p = 0.003], Sepsis [OR 5.39 (1.71–16.91), p = 0.004], failed extubation [OR 8.41 (3.09–22.93), p < 0.001] and DH [OR 9.94 (3.92–25.21), p < 0.001] remained as strongest predictors for TS. Patients with longer periods from admission to TS had longer ICU length of stay ( r = 0.384, p = 0.03). There was no association between the time from admission to TS and clinical outcome (NIHSS at discharge: r = 0.125, p = 0.461; mRS at 90 days: r = −0.179, p = 0.403). Conclusions: Patients with LVOS undergoing MT are at high risk to require TS if extubation after the intervention fails, DH is needed, and severe infectious complications occur in the acute phase after ischemic stroke. These factors are likely to be useful for the indication and timing of TS to reduce overall sedation and shorten ICU length of stay."],["dc.identifier.doi","10.3389/fneur.2021.728624"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/97862"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-507"],["dc.publisher","Frontiers Media S.A."],["dc.relation.eissn","1664-2295"],["dc.rights","http://creativecommons.org/licenses/by/4.0/"],["dc.title","Predictive Factors for the Need of Tracheostomy in Patients With Large Vessel Occlusion Stroke Being Treated With Mechanical Thrombectomy"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","2171"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Journal of Clinical Medicine"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Schnieder, Marlena"],["dc.contributor.author","Bähr, Mathias"],["dc.contributor.author","Kirsch, Mareike"],["dc.contributor.author","Maier, Ilko"],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Riedel, Christian Heiner"],["dc.contributor.author","Psychogios, Marios-Nikos"],["dc.contributor.author","Brehm, Alex"],["dc.contributor.author","Liman, Jan"],["dc.contributor.author","von Arnim, Christine A. F."],["dc.date.accessioned","2021-07-05T15:00:47Z"],["dc.date.available","2021-07-05T15:00:47Z"],["dc.date.issued","2021"],["dc.description.abstract","Frailty is associated with an increased risk of adverse health-care outcomes in elderly patients. The Hospital Frailty Risk Score (HFRS) has been developed and proven to be capable of identifying patients which are at high risk of adverse outcomes. We aimed to investigate whether frail patients also face adverse outcomes after experiencing an endovascular treated large vessel occlusion stroke (LVOS). In this retrospective observational cohort study, we analyzed patients ≥ 65 years that were admitted during 2015–2019 with LVOS and endovascular treatment. Primary outcomes were mortality and the modified Rankin Scale (mRS) after three months. Regression models were used to determine the impact of frailty. A total of 318 patients were included in the cohort. The median HFRS was 1.6 (IQR 4.8). A total of 238 (75.1%) patients fulfilled the criteria for a low-frailty risk with a HFRS < 5.72 (22.7%) for moderate-frailty risk with an HFRS from 5–15 and 7 (2.2%) patients for a high-frailty risk. Multivariate regression analyses revealed that the HFRS was associated with an increased mortality after 90 days (CI (95%) 1.001 to 1.236; OR 1.112) and a worse mRS (CI (95%) 1.004 to 1.270; OR 1.129). We identified frailty as an impact factor on functional outcome and mortality in patients undergoing thrombectomy in LVOS."],["dc.description.abstract","Frailty is associated with an increased risk of adverse health-care outcomes in elderly patients. The Hospital Frailty Risk Score (HFRS) has been developed and proven to be capable of identifying patients which are at high risk of adverse outcomes. We aimed to investigate whether frail patients also face adverse outcomes after experiencing an endovascular treated large vessel occlusion stroke (LVOS). In this retrospective observational cohort study, we analyzed patients ≥ 65 years that were admitted during 2015–2019 with LVOS and endovascular treatment. Primary outcomes were mortality and the modified Rankin Scale (mRS) after three months. Regression models were used to determine the impact of frailty. A total of 318 patients were included in the cohort. The median HFRS was 1.6 (IQR 4.8). A total of 238 (75.1%) patients fulfilled the criteria for a low-frailty risk with a HFRS < 5.72 (22.7%) for moderate-frailty risk with an HFRS from 5–15 and 7 (2.2%) patients for a high-frailty risk. Multivariate regression analyses revealed that the HFRS was associated with an increased mortality after 90 days (CI (95%) 1.001 to 1.236; OR 1.112) and a worse mRS (CI (95%) 1.004 to 1.270; OR 1.129). We identified frailty as an impact factor on functional outcome and mortality in patients undergoing thrombectomy in LVOS."],["dc.identifier.doi","10.3390/jcm10102171"],["dc.identifier.pii","jcm10102171"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87901"],["dc.language.iso","en"],["dc.notes.intern","DOI Import DOI-Import GROB-441"],["dc.publisher","MDPI"],["dc.relation.eissn","2077-0383"],["dc.rights","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Analysis of Frailty in Geriatric Patients as a Prognostic Factor in Endovascular Treated Patients with Large Vessel Occlusion Strokes"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","2185"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Journal of Clinical Medicine"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Psychogios, Marios-Nikos"],["dc.contributor.author","Maier, Ilko L."],["dc.contributor.author","Tsogkas, Ioannis"],["dc.contributor.author","Hesse, Amélie Carolina"],["dc.contributor.author","Brehm, Alex"],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Schnieder, Marlena"],["dc.contributor.author","Schregel, Katharina"],["dc.contributor.author","Papageorgiou, Ismini"],["dc.contributor.author","Liebeskind, David S."],["dc.contributor.author","Goyal, Mayank"],["dc.contributor.author","Bähr, Mathias"],["dc.contributor.author","Knauth, Michael"],["dc.contributor.author","Liman, Jan"],["dc.date.accessioned","2020-12-10T18:47:12Z"],["dc.date.available","2020-12-10T18:47:12Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.3390/jcm8122185"],["dc.identifier.eissn","2077-0383"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17070"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78678"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","MDPI"],["dc.relation.eissn","2077-0383"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","One-Stop Management of 230 Consecutive Acute Stroke Patients: Report of Procedural Times and Clinical Outcome"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","BMC Medical Imaging"],["dc.bibliographiccitation.volume","19"],["dc.contributor.author","Amelung, Nadine"],["dc.contributor.author","Maus, Volker"],["dc.contributor.author","Behme, Daniel"],["dc.contributor.author","Papageorgiou, Ismini E."],["dc.contributor.author","Leyhe, Johanna Rosemarie"],["dc.contributor.author","Knauth, Michael"],["dc.contributor.author","Psychogios, Marios Nikos"],["dc.date.accessioned","2020-12-10T18:38:53Z"],["dc.date.available","2020-12-10T18:38:53Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1186/s12880-019-0352-2"],["dc.identifier.eissn","1471-2342"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16352"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77466"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Evaluation of an optimized metal artifact reduction algorithm for flat-detector angiography compared to DSA imaging in follow-up after neurovascular procedures"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","437"],["dc.bibliographiccitation.journal","Frontiers in neurology"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Maus, Volker"],["dc.contributor.author","Abdullayev, Nuran"],["dc.contributor.author","Sack, Henrik"],["dc.contributor.author","Borggrefe, Jan"],["dc.contributor.author","Mpotsaris, Anastasios"],["dc.contributor.author","Behme, Daniel"],["dc.date.accessioned","2019-07-09T11:45:39Z"],["dc.date.available","2019-07-09T11:45:39Z"],["dc.date.issued","2018"],["dc.description.abstract","Background: Clinical outcome in patients undergoing mechanical thrombectomy (MT) due to intracranial large vessel occlusion (LVO) in the anterior circulation is influenced by several factors. The impact of a concomitant extracranial carotid artery stenosis (CCAS) contralateral to the intracranial lesion remains unclear. Methods: Retrospective analysis of 392 consecutive patients treated with MT due to intracranial LVO in the anterior circulation in two comprehensive stroke centers between 2014 and 2017. Clinical (including demographics and NIHSS), imaging (including angiographic evaluation of CCAS via NASCET criteria), and procedural data were evaluated. Primary endpoint was an unfavorable clinical outcome defined as modified Rankin Scale 3-6 at 90 days. Results: In 27/392 patients (7%) pre-interventional imaging exhibited a CCAS (>50%) contralateral to the intracranial lesion compared to 365 patients without relevant stenosis. Median baseline NIHSS, procedural timings, and reperfusion success did not differ between groups. Median volume of the final infarct core was larger in CCAS patients (176 cm3, IQR 32-213 vs. 11 cm3, 1-65; p < 0.001). At 90 days, unfavorable outcome was documented in 25/27 CCAS patients (93%) vs. 211/326 (65%; p = 0.003) with a mortality of 63 vs. 19% (p = 0.001), respectively. Presence of CCAS was associated with an unfavorable outcome at 90 days independent of age and baseline NIHSS in multivariate logistic regression (OR 2.2, CI 1.1-4.7; p < 0.05). Conclusion: For patients undergoing MT due to intracranial vessel occlusion in the anterior circulation, the presence of a contralateral CCAS >50% is a predictor of unfavorable clinical outcome at 90 days."],["dc.identifier.doi","10.3389/fneur.2018.00437"],["dc.identifier.pmid","29946292"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15271"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59275"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","Frontiers Media S.A."],["dc.relation.eissn","1664-2295"],["dc.relation.issn","1664-2295"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","610"],["dc.title","Carotid Artery Stenosis Contralateral to Intracranial Large Vessel Occlusion: An Independent Predictor of Unfavorable Clinical Outcome After Mechanical Thrombectomy."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]