Initial Temporal Muscle Thickness and Area: Poor Predictors of Neurological Outcome in Aneurysmal Subarachnoid Hemorrhage in a Central European Patient Cohort.
暂无分享,去创建一个
S. Muhammad | M. Kamp | K. Beseoglu | I. Fischer | H. Boogaarts | B. B. Hofmann | C. Karadag | J. F. Cornelius
[1] R. Helbok,et al. The Loss of Temporal Muscle Volume is Associated with Poor Outcome in Patients with Subarachnoid Hemorrhage: An Observational Cohort Study , 2023, Neurocritical Care.
[2] C. Rubbert,et al. Evaluation of MTT Heterogeneity of Perfusion CT Imaging in the Early Brain Injury Phase: An Insight into aSAH Pathopysiology , 2023, Brain sciences.
[3] C. Rubbert,et al. Blood Pressure Affects the Early CT Perfusion Imaging in Patients with aSAH Reflecting Early Disturbed Autoregulation , 2023, Neurocritical Care.
[4] K. Murotani,et al. Predictive Value of Temporal Muscle Thickness for Sarcopenia after Acute Stroke in Older Patients , 2022, Nutrients.
[5] D. Cantré,et al. Significance of Temporal Muscle Thickness in Chronic Subdural Hematoma , 2022, Journal of clinical medicine.
[6] S. Yang,et al. Association between Temporal Muscle Thickness and Overall Survival in Non-Small Cell Lung Cancer Patients with Brain Metastasis , 2022, Current oncology.
[7] Yu-Xuan Li,et al. Long-term prognostic significance of sarcopenia in acute ischemic stroke , 2022, Medicine.
[8] B. Roozenbeek,et al. Early predictors of functional outcome in poor-grade aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis , 2022, BMC Neurology.
[9] D. Nieboer,et al. Development and Internal Validation of the ARISE Prediction Models for Rebleeding After Aneurysmal Subarachnoid Hemorrhage , 2022, Neurosurgery.
[10] D. Eekers,et al. Temporal muscle thickness as an independent prognostic imaging marker in newly diagnosed glioblastoma patients: A validation study , 2022, Neuro-oncology advances.
[11] A. Viddeleer,et al. Skeletal muscle atrophy and myosteatosis are not related to long-term aneurysmal subarachnoid hemorrhage outcome , 2022, PloS one.
[12] J. Meixensberger,et al. Newly Diagnosed IDH-Wildtype Glioblastoma and Temporal Muscle Thickness: A Multicenter Analysis , 2021, Cancers.
[13] R. Stupp,et al. Temporal Muscle Thickness as a Prognostic Marker in Patients with Newly Diagnosed Glioblastoma: Translational Imaging Analysis of the CENTRIC EORTC 26071–22072 and CORE Trials , 2021, Clinical Cancer Research.
[14] J. H. Kim,et al. Temporalis muscle thickness as an indicator of sarcopenia predicts progression-free survival in head and neck squamous cell carcinoma , 2021, Scientific Reports.
[15] V. Y. Ng,et al. Relevance of presenting risks of frailty, sarcopaenia and osteopaenia to outcomes from aneurysmal subarachnoid haemorrhage , 2021, BMC Geriatrics.
[16] C. Rubbert,et al. MTT Heterogeneity in Perfusion CT Imaging as a Predictor of Outcome after Aneurysmal SAH , 2021, American Journal of Neuroradiology.
[17] Y. Kakizawa,et al. Temporal muscle thickness and area are an independent prognostic factors in patients aged 75 or younger with aneurysmal subarachnoid hemorrhage treated by clipping , 2021, Surgical neurology international.
[18] N. Rabelo,et al. Sarcopenia as a Predictor of the Functional Outcome in Patients with Intracranial Aneurysms , 2022, Gerontology.
[19] G. Langs,et al. Evaluation of the Temporal Muscle Thickness as an Independent Prognostic Biomarker in Patients with Primary Central Nervous System Lymphoma , 2021, Cancers.
[20] M. Nozoe,et al. Reliability and validity of measuring temporal muscle thickness as the evaluation of sarcopenia risk and the relationship with functional outcome in older patients with acute stroke , 2021, Clinical Neurology and Neurosurgery.
[21] Jae-Sung Park,et al. Association between temporal muscle thickness and clinical outcomes in patients with newly diagnosed glioblastoma , 2020, Journal of Cancer Research and Clinical Oncology.
[22] D. Prayer,et al. Sarcopenia in Neurological Patients: Standard Values for Temporal Muscle Thickness and Muscle Strength Evaluation , 2020, Journal of clinical medicine.
[23] T. Tominaga,et al. Temporal Muscle as an Indicator of Sarcopenia is Independently Associated with Hunt and Kosnik Grade on Admission and the Modified Rankin Scale at 6 Month of Patients with Subarachnoid Hemorrhage Treated by Endovascular Coiling. , 2020, World neurosurgery.
[24] Y. Kakizawa,et al. Clinical characteristics of aneurysmal subarachnoid hemorrhage in the elderly over 75; would temporal muscle be a potential prognostic factor as an indicator of sarcopenia? , 2019, Clinical Neurology and Neurosurgery.
[25] A. Molyneux,et al. Prediction of Outcome After Aneurysmal Subarachnoid Hemorrhage: Development and Validation of the SAFIRE Grading Scale , 2019, Stroke.
[26] H. Steiger,et al. An introduction to the pathophysiology of aneurysmal subarachnoid hemorrhage , 2018, Neurosurgical Review.
[27] René Rizzoli,et al. Sarcopenia: revised European consensus on definition and diagnosis , 2018, Age and ageing.
[28] D. Prayer,et al. Temporal muscle thickness is an independent prognostic marker in melanoma patients with newly diagnosed brain metastases , 2018, Journal of Neuro-Oncology.
[29] Hester F. Lingsma,et al. Development and validation of outcome prediction models for aneurysmal subarachnoid haemorrhage: the SAHIT multinational cohort study , 2018, British Medical Journal.
[30] J. Caspers,et al. Timing of Mean Transit Time Maximization is Associated with Neurological Outcome After Subarachnoid Hemorrhage , 2017, Clinical Neuroradiology.
[31] H. Steiger,et al. Early Perfusion Computerized Tomography Imaging as a Radiographic Surrogate for Delayed Cerebral Ischemia and Functional Outcome After Subarachnoid Hemorrhage , 2013, Stroke.
[32] David Hasan,et al. Clinical Prediction Models for Aneurysmal Subarachnoid Hemorrhage: A Systematic Review , 2013, Neurocritical Care.
[33] A. Algra,et al. Long-term outcomes of patients with aneurysmal subarachnoid haemorrhage , 2011, The Lancet Neurology.
[34] Ale Algra,et al. Changes in case fatality of aneurysmal subarachnoid haemorrhage over time, according to age, sex, and region: a meta-analysis , 2009, The Lancet Neurology.
[35] B. Stegmayr,et al. Declining Mortality From Subarachnoid Hemorrhage: Changes in Incidence and Case Fatality From 1985 Through 2000 , 2004, Stroke.
[36] V. Feigin,et al. Stroke epidemiology: a review of population-based studies of incidence, prevalence, and case-fatality in the late 20th century , 2003, The Lancet Neurology.
[37] K. Ranganathan,et al. Temporalis muscle morphomics: the psoas of the craniofacial skeleton. , 2014, The Journal of surgical research.