nach oben

Neurological Sciences

Erschienen in:

18.02.2021 | Review Article

Systematic review of novel technology-based interventions for ischemic stroke

verfasst von: Steven Mulackal Thomas, Ellie Delanni, Brandon Christophe, Edward Sander Connolly

Erschienen in: Neurological Sciences | Ausgabe 5/2021

Einloggen, um Zugang zu erhalten

Abstract

Purpose

To identify novel technologies pertinent to the prevention, diagnosis, treatment, and rehabilitation of ischemic stroke, and recommend the technologies that show the most promise in advancing ischemic stroke care.

Method

A systematic literature search on PubMed and Medscape was performed. Articles were assessed based on pre-determined criteria. Included journal articles were evaluated for specific characteristics and reviewed according to a structured paradigm. A search on www.clinicaltrials.gov was performed to identify pre-clinical ischemic stroke technological interventions. All clinical trial results were included. An additional search on PubMed was conducted to identify studies on robotic neuroendovascular procedures.

Results

Thirty journal articles and five clinical trials were analyzed. Articles were categorized as follows: six studies pertinent to pre-morbidity and prevention of ischemic stroke, three studies relevant to the diagnosis of ischemic stroke, 16 studies about post-ischemic stroke rehabilitation, and five studies on robotic neuroendovascular interventions.

Conclusions

Novel technologies across the spectrum of ischemic stroke care were identified, and the ones that appear to have the most clinical utility are recommended. Future investigation of the feasibility and long-term efficacy of the recommended technologies in clinical settings is warranted.

Benjamin EJ et al (2017) Heart disease and stroke statistics-2017 update: a report from the American Heart Association. Circulation 135(10):e146–e603PubMedPubMedCentralCrossRef

Chang P, Prabhakaran S (2017) Recent advances in the management of acute ischemic stroke. F1000Res 6

D'Anna L (2020) Endovascular treatment of ischemic large-vessel stroke due to infective endocarditis: case series and review of the literature. Neurol Sci 41(12):3517–3525PubMedPubMedCentralCrossRef

Furlan AJ et al (2006) Dose escalation of desmoteplase for acute ischemic stroke (DEDAS): evidence of safety and efficacy 3 to 9 hours after stroke onset. Stroke 37(5):1227–1231PubMedCrossRef

Hacke W et al (2005) The Desmoteplase in Acute Ischemic Stroke Trial (DIAS): a phase II MRI-based 9-hour window acute stroke thrombolysis trial with intravenous desmoteplase. Stroke 36(1):66–73PubMedCrossRef

Albers GW et al (2006) Magnetic resonance imaging profiles predict clinical response to early reperfusion: the diffusion and perfusion imaging evaluation for understanding stroke evolution (DEFUSE) study. Ann Neurol 60(5):508–517PubMedCrossRef

Fasoli SE, Krebs HI, Hogan N (2004) Robotic technology and stroke rehabilitation: translating research into practice. Top Stroke Rehabil 11(4):11–19PubMedCrossRef

Wu J et al (2021) The modulatory effects of bilateral arm training (BAT) on the brain in stroke patients: a systematic review. Neurol Sci 42(2):501–511PubMedCrossRef

Moher D et al (2015) Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev 4(1):1PubMedPubMedCentralCrossRef

10.

Liberati A et al (2009) The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ 339:b2700PubMedPubMedCentralCrossRef

11.

Grunwald IQ et al (2016) First automated stroke imaging evaluation via electronic Alberta stroke program early CT score in a mobile stroke unit. Cerebrovasc Dis 42(5-6):332–338PubMedCrossRef

12.

Ranta A et al (2017) Impact and implementation of a sustainable regional telestroke network. Intern Med J 47(11):1270–1275PubMedCrossRef

13.

Wang Y, Bajorek B (2018) Selecting antithrombotic therapy for stroke prevention in atrial fibrillation: health professionals’ feedback on a decision support tool. Health Informatics J 24(3):309–322PubMedCrossRef

14.

Bajorek BV et al (2016) Optimizing stroke prevention in patients with atrial fibrillation: a cluster-randomized controlled trial of a computerized antithrombotic risk assessment tool in Australian general practice, 2012-2013. Prev Chronic Dis 13:E90–E90PubMedPubMedCentralCrossRef

15.

Wang Y, Bajorek B (2016) Clinical pre-test of a computerised antithrombotic risk assessment tool for stroke prevention in atrial fibrillation patients: giving consideration to NOACs. J Eval Clin Pract 22(6):892–898PubMedCrossRef

16.

Ran X, Zhang Q, Wang DW (2015) Tissue kallikrein activity, detected by a novel method, may be a predictor of recurrent stroke: a case-control study. Dis Markers 2015:159750–159750PubMedPubMedCentralCrossRef

17.

Subudhi A, Jena S, Sabut S (2018) Delineation of the ischemic stroke lesion based on watershed and relative fuzzy connectedness in brain MRI. Med Biol Eng Comput 56(5):795–807PubMedCrossRef

18.

Kesav P et al (2019) Utility of intracranial high-resolution vessel wall magnetic resonance imaging in differentiating intracranial vasculopathic diseases causing ischemic stroke. Neuroradiology 61(4):389–396PubMedCrossRef

19.

Owolabi M et al (2017) Development and reliability of a user-friendly multicenter phenotyping application for hemorrhagic and ischemic stroke. J Stroke Cerebrovasc Dis 26(11):2662–2670PubMedPubMedCentralCrossRef

20.

Sarasola-Sanz A et al (2018) Design and effectiveness evaluation of mirror myoelectric interfaces: a novel method to restore movement in hemiplegic patients. Sci Rep 8(1):16688PubMedPubMedCentralCrossRef

21.

Washabaugh EP et al (2018) Self-powered robots to reduce motor slacking during upper-extremity rehabilitation: a proof of concept study. Restor Neurol Neurosci 36(6):693–708PubMedPubMedCentral

22.

Germanotta M et al (2018) Reliability, validity and discriminant ability of the instrumental indices provided by a novel planar robotic device for upper limb rehabilitation. J Neuroeng Rehabil 15(1):39PubMedPubMedCentralCrossRef

23.

Cannell J et al (2018) The efficacy of interactive, motion capture-based rehabilitation on functional outcomes in an inpatient stroke population: a randomized controlled trial. Clin Rehabil 32(2):191–200PubMedCrossRef

24.

Picelli A et al (2018) Combined effects of cerebellar transcranial direct current stimulation and transcutaneous spinal direct current stimulation on robot-assisted gait training in patients with chronic brain stroke: a pilot, single blind, randomized controlled trial. Restor Neurol Neurosci 36(2):161–171PubMed

25.

Park JH et al (2018) Comparative effects of robotic-assisted gait training combined with conventional physical therapy on paretic hip joint stiffness and kinematics between subacute and chronic hemiparetic stroke. NeuroRehabilitation 42(2):181–190PubMedCrossRef

26.

Gobbo M et al (2017) Hand passive mobilization performed with robotic assistance: acute effects on upper limb perfusion and spasticity in stroke survivors. Biomed Res Int 2017:2796815–2796815PubMedPubMedCentralCrossRef

27.

Kesav P et al (2017) Effectiveness of speech language therapy either alone or with add-on computer-based language therapy software (Malayalam version) for early post stroke aphasia: a feasibility study. J Neurol Sci 380:137–141PubMedCrossRef

28.

Park W et al (2015) Assessment of cognitive engagement in stroke patients from single-trial EEG during motor rehabilitation. IEEE Trans Neural Syst Rehabil Eng 23(3):351–362PubMedCrossRef

29.

Duret C et al (2015) Use of a robotic device for the rehabilitation of severe upper limb paresis in subacute stroke: exploration of patient/robot interactions and the motor recovery process. Biomed Res Int 2015:482389PubMedPubMedCentralCrossRef

30.

Afzal MR et al (2015) Effects of kinesthetic haptic feedback on standing stability of young healthy subjects and stroke patients. J Neuroeng Rehabil 12:27PubMedPubMedCentralCrossRef

31.

Calabro RS et al (2015) Do post-stroke patients benefit from robotic verticalization? A pilot-study focusing on a novel neurophysiological approach. Restor Neurol Neurosci 33(5):671–681PubMedPubMedCentral

32.

Yu L et al (2016) A remote quantitative Fugl-Meyer assessment framework for stroke patients based on wearable sensor networks. Comput Methods Prog Biomed 128:100–110CrossRef

33.

Yu L et al (2016) A compressed sensing-based wearable sensor network for quantitative assessment of stroke patients. Sensors (Basel) 16(2):202CrossRef

34.

Rinne P et al (2016) Democratizing neurorehabilitation: how accessible are low-cost mobile-gaming technologies for self-rehabilitation of arm disability in stroke? PLoS One 11(10):e0163413PubMedPubMedCentralCrossRef

35.

Lee JJ, You JSH (2017) Effects of novel guidance tubing gait on electromyographic neuromuscular imbalance and joint angular kinematics during locomotion in hemiparetic stroke patients. Arch Phys Med Rehabil 98(12):2526–2532PubMedCrossRef

36.

Shuaib A et al (2011) Partial aortic occlusion for cerebral perfusion augmentation: safety and efficacy of NeuroFlo in Acute Ischemic Stroke trial. Stroke 42(6):1680–1690PubMedCrossRef

37.

Prasad K et al (2014) Intravenous autologous bone marrow mononuclear stem cell therapy for ischemic stroke: a multicentric, randomized trial. Stroke 45(12):3618–3624PubMedCrossRef

38.

Prasad K et al (2012) Autologous intravenous bone marrow mononuclear cell therapy for patients with subacute ischaemic stroke: a pilot study. Indian J Med Res 136(2):221–228PubMedPubMedCentral

39.

Wang Y et al (2013) Clopidogrel with aspirin in acute minor stroke or transient ischemic attack. N Engl J Med 369(1):11–19PubMedCrossRef

40.

Wang Y, Johnston SC (2010) Rationale and design of a randomized, double-blind trial comparing the effects of a 3-month clopidogrel-aspirin regimen versus aspirin alone for the treatment of high-risk patients with acute nondisabling cerebrovascular event. Am Heart J 160(3):380–386.e1PubMedCrossRef

41.

Britz GW, Panesar SS, Falb P, Tomas J, Desai V, Lumsden A (2019) Neuroendovascular-specific engineering modifications to the CorPath GRX Robotic System.J Neurosurg. https://doi.org/10.3171/2019.9.JNS192113

42.

Mendes Pereira V et al (2020) First-in-human, robotic-assisted neuroendovascular intervention. J Neurointerv Surg 12(4):338–340PubMedPubMedCentralCrossRef

43.

Murayama Y et al (2011) Robotic digital subtraction angiography systems within the hybrid operating room. Neurosurgery 68(5):1427–1432 discussion 1433PubMedCrossRef

44.

Sajja KC et al (2020) Endovascular robotic: feasibility and proof of principle for diagnostic cerebral angiography and carotid artery stenting. J Neurointerv Surg 12(4):345–349PubMedCrossRef

45.

Miyachi S et al (2019) Novel operation support robot with sensory-motor feedback system for neuroendovascular intervention. World Neurosurg 127:e617–e623PubMedCrossRef

46.

Maier O et al (2015) Classifiers for ischemic stroke lesion segmentation: a comparison study. PLoS One 10(12):e0145118PubMedPubMedCentralCrossRef

47.

Mitra J et al (2014) Lesion segmentation from multimodal MRI using random forest following ischemic stroke. NeuroImage 98:324–335PubMedCrossRef

48.

Guo D et al (2015) Automated lesion detection on MRI scans using combined unsupervised and supervised methods. BMC Med Imaging 15:50

49.

Tsai J-Z et al (2014) Automatic detection and quantification of acute cerebral infarct by fuzzy clustering and histographic characterization on diffusion weighted MR imaging and apparent diffusion coefficient map. Biomed Res Int 2014:963032PubMedPubMedCentralCrossRef

50.

Bhanu Prakash KN et al (2006) Identification, segmentation, and image property study of acute infarcts in diffusion-weighted images by using a probabilistic neural network and adaptive Gaussian mixture model. Acad Radiol 13(12):1474–1484CrossRef

51.

Mah Y-H et al (2014) A new method for automated high-dimensional lesion segmentation evaluated in vascular injury and applied to the human occipital lobe. Cortex 56:51–63PubMedPubMedCentralCrossRef

52.

Muda AF et al (2015) Brain lesion segmentation using fuzzy C-means on diffusion-weighted imaging. ARPN J Eng Appl Sci 10:1138–1144

53.

Wang Y, Katsaggelos AK, Wang X, Parrish TB (2016) A deep symmetry convnet for stroke lesion segmentation. In: 2016 IEEE International Conference on Image Processing (ICIP), Phoenix, pp 111–115

54.

Schellinger PD et al (2010) Evidence-based guideline: The role of diffusion and perfusion MRI for the diagnosis of acute ischemic stroke: report of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology. Neurology 75(2):177–85

55.

Ay H et al (2007) A computerized algorithm for etiologic classification of ischemic stroke: the Causative Classification of Stroke System. Stroke 38(11):2979–2984PubMedCrossRef

56.

Takeuchi N, Izumi S-I (2012) Maladaptive plasticity for motor recovery after stroke: mechanisms and approaches. Neural Plast 2012:359728–359728PubMedPubMedCentralCrossRef

57.

García-Cossio E, Birbaumer N, Ramos-Murguialday A (2013) Facilitation of completely paralyzed forearm muscle activity in chronic stroke patients. In: 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), San Diego, pp 1545–1548

58.

Ramos-Murguialday A et al (2015) Decoding upper limb residual muscle activity in severe chronic stroke. Ann Clin Transl Neurol 2(1):1–11PubMedCrossRef

59.

Wolbrecht ET et al (2008) Optimizing compliant, model-based robotic assistance to promote neurorehabilitation. IEEE Trans Neural Syst Rehabil Eng 16(3):286–297PubMedCrossRef

60.

Zhang Z, Fang Q, Gu X (2014) Fuzzy inference system based automatic Brunnstrom stage classification for upper-extremity rehabilitation. Expert Syst Appl 41(4, Part 2):1973–1980CrossRef

61.

Zhang Z, Fang Q, Gu X (2016) Objective assessment of upper-limb mobility for poststroke rehabilitation. IEEE Trans Biomed Eng 63(4):859–868PubMed

62.

Zhang Z et al (2016) A fuzzy kernel motion classifier for autonomous stroke rehabilitation. IEEE J Biomed Health Inform 20(3):893–901PubMedCrossRef

63.

Yu L, Wang J-P, Fang Q, Wang Y (2012) Brunnstrom stage automatic evaluation for stroke patients using extreme learning machine. In: 2012 IEEE Biomedical Circuits and Systems Conference (BioCAS), Hsinchu, pp 380–383

64.

Raghavan P (2007) The nature of hand motor impairment after stroke and its treatment. Curr Treat Options Cardiovasc Med 9(3):221–228PubMedCrossRef

65.

Kleim JA, Jones TA (2008) Principles of experience-dependent neural plasticity: implications for rehabilitation after brain damage. J Speech Lang Hear Res 51(1):S225–S239PubMedCrossRef

66.

Wang Y et al (2016) Association between CYP2C19 loss-of-function allele status and efficacy of clopidogrel for risk reduction among patients with minor stroke or transient ischemic attack. Jama 316(1):70–78PubMedCrossRef

67.

Akpinar S, Yilmaz G (2016) Periprocedural complications in endovascular stroke treatment. Br J Radiol 89:20150267PubMedCrossRef

Titel: Systematic review of novel technology-based interventions for ischemic stroke
verfasst von: Steven Mulackal Thomas
Ellie Delanni
Brandon Christophe
Edward Sander Connolly
Publikationsdatum: 18.02.2021
Verlag: Springer International Publishing
Erschienen in: Neurological Sciences / Ausgabe 5/2021
Print ISSN: 1590-1874
Elektronische ISSN: 1590-3478
DOI: https://doi.org/10.1007/s10072-021-05126-0

Leitlinien kompakt für die Neurologie

Mit medbee Pocketcards sicher entscheiden.

^{Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag}

Kostenlos registrieren

Neu im Fachgebiet Neurologie

23.04.2024 | Demenz | Nachrichten

Update Neurologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Springer Medizin

Systematic review of novel technology-based interventions for ischemic stroke

Abstract

Purpose

Method

Results

Conclusions

Leitlinien kompakt für die Neurologie

Neu im Fachgebiet Neurologie

Demenzkranke durch Antipsychotika vielfach gefährdet

Parkinson-Therapie im Wandel – aktuelle Leitlinie im Fokus

Auf diese Krankheiten bei Geflüchteten sollten Sie vorbereitet sein

Hustenstiller lindert Agitation bei Alzheimer

Update Neurologie

Springer Medizin

Abstract

Purpose

Method

Results

Conclusions

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 5/2021

A voxel-based lesion symptom mapping analysis of chronic pain in multiple sclerosis

Deciphering delirium through semantics: a selective synopsis

Clinical presentation of strokes confined to the insula: a systematic review of literature

Efficacy and acceptability of the S1P receptor in the treatment of multiple sclerosis: a meta-analysis

Female sex is strongly associated with cognitive impairment in HIV infection

Evaluation of clinical findings and neurofibromatosis type 1 bright objects on brain magnetic resonance images of 60 Turkish patients with NF1 gene variants

Leitlinien kompakt für die Neurologie

Neu im Fachgebiet Neurologie

Demenzkranke durch Antipsychotika vielfach gefährdet

Parkinson-Therapie im Wandel – aktuelle Leitlinie im Fokus

Auf diese Krankheiten bei Geflüchteten sollten Sie vorbereitet sein

Hustenstiller lindert Agitation bei Alzheimer

Update Neurologie