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Acta Neurochirurgica Supplement 126 Thomas Heldt Editor Intracranial Pressure & Neuromonitoring XVI Acta Neurochirurgica Supplement 126 Series Editor: Hans-Jakob Steiger More information about this series at http://www.springer.com/series/4 Thomas Heldt Editor Intracranial Pressure & Neuromonitoring XVI Editor Thomas Heldt Institute for Medical Engineering & Science Massachusetts Institute of Technology Cambridge Massachusetts USA ISSN 0065-1419 ISSN 2197-8395 (electronic) Acta Neurochirurgica Supplement ISBN 978-3-319-65797-4 ISBN 978-3-319-65798-1 (eBook) https://doi.org/10.1007/978-3-319-65798-1 Library of Congress Control Number: 2018930544 © Springer International Publishing AG 2018 This work is subject to copyright All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed The use of general descriptive names, registered names, trademarks, service marks, etc in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Wien, Switzerland Preface The International Conference on Intracranial Pressure and Neuromonitoring (“ICP Conference”) is dedicated to the exchange of ideas and research results in multimodality neuromonitoring and management of diseases of the central nervous system To achieve its goals, the ICP Conference brings together a diverse group of clinicians—including neurosurgeons, neurologists, neurointensivists, and anesthesiologists—as well as scientists, engineers, informaticists, and mathematicians Since its inception in 1972 at Hannover Medical School in Germany, the ICP Conference has maintained a special focus on the measurement of intracranial pressure in trauma, stroke, hydrocephalus, and during administration of anesthesia, as well as the interpretation of the associated recordings With the increasing complexity of patient monitoring in perioperative and neurocritical care, and the ability to archive and retrospectively analyze the multimodal and multivariate monitoring data streams, the scope of the ICP Conference has expanded to include all monitoring modalities in neurological, neurocritical, and neurosurgical care The 16th ICP Conference was held in Cambridge, Massachusetts, from June 28 through July 2, 2016, and continued the long tradition of bringing together diverse groups of clinicians and researchers to advance the field of neuromonitoring We are particularly pleased to have been joined by the Cerebral Autoregulation Research Network (CARNet), whose sixth annual meeting was co-hosted with the 2016 ICP Conference and thereby significantly expanded the breadth and richness of the meeting The conference attracted over 300 attendees, including 81 trainees, from 28 countries across six continents It featured 235 contributed presentations as well as 15 keynote lectures and panel discussions from leading experts in the fields of traumatic brain injury, neurocritical care informatics, cerebrovascular autoregulation, hydrocephalus, visual impairment and intracranial hypertension, spreading depolarizations, and craniosynostosis The 61 papers contained in this volume represent a cross section of the work presented at the conference and provide a glimpse into the current state-of-the-art in neuromonitoring They also serve as a reminder that many important questions in these domains remain to be resolved to the full benefit of patients with brain injuries and neurological disorders We look forward to the 17th ICP Conference in 2019 in Leuven, Belgium, with the hope that some of the pressing questions may be addressed by then I wish to thank the members of the Local Scientific Steering Committee and the International Advisory Committee for their help and guidance Additionally, I wish to acknowledge the unwavering administrative support of Ms Caitlin Vinci, whose help and support made the conference and this book possible Cambridge, MA Thomas Heldt, Ph.D v Contents Traumatic Brain Injury erebral Perfusion Pressure Variability Between Patients C and Between Centres ������������������������������������������������������������������������������������������������������� 3 B Depreitere, F Güiza, I Piper, G Citerio, I Chambers, P A Jones, T-Y M Lo, P Enblad, P Nilsson, B Feyen, P Jorens, A Maas, M U Schuhmann, R Donald, L Moss, G Van den Berghe, and G Meyfroidt re-hospital Predictors of Impaired ICP Trends in Continuous Monitoring P of Paediatric Traumatic Brain Injury Patients ������������������������������������������������������������� 7 A M H Young, J Donnelly, X Liu, M R Guilfoyle, M Carew, M Cabeleira, D Cardim, M R Garnett, H M Fernandes, C Haubrich, P Smielewski, M Czosnyka, P J Hutchinson, and S Agrawal rognosis of Severe Traumatic Brain Injury Outcomes in Children��������������������������� 11 P S V Meshcheryakov, Z B Semenova, V I Lukianov, E G Sorokina, and O V Karaseva o ICP-Derived Parameters Differ in Vegetative State from Other D Outcome Groups After Traumatic Brain Injury?��������������������������������������������������������� 17 M Czosnyka, J Donnelly, L Calviello, P Smielewski, D K Menon, and J D Pickard erebral Arterial Compliance in Traumatic Brain Injury������������������������������������������� 21 C M Dobrzeniecki, A Trofimov, and D E Bragin he Cerebrovascular Resistance in Combined Traumatic Brain Injury T with Intracranial Hematomas����������������������������������������������������������������������������������������� 25 A O Trofimov, G Kalentyev, O Voennov, M Yuriev, D Agarkova, S Trofimova, and V Grigoryeva omputed Tomography Indicators of Deranged Intracranial C Physiology in Paediatric Traumatic Brain Injury��������������������������������������������������������� 29 A M H Young, J Donnelly, X Liu, M R Guilfoyle, M Carew, M Cabeleira, D Cardim, M R Garnett, H M Fernandes, C Haubrich, P Smielewski, M Czosnyka, P J Hutchinson, and S Agrawal ean Square Deviation of ICP in Prognosis of Severe TBI Outcomes M in Children������������������������������������������������������������������������������������������������������������������������� 35 Z B Semenova, V I Lukianov, S V Meshcheryakov, and L M Roshal vii viii idsBrainIT: A New Multi-centre, Multi-disciplinary, Multi-national K Paediatric Brain Monitoring Collaboration������������������������������������������������������������������� 39 T Lo, I Piper, B Depreitere, G Meyfroidt, M Poca, J Sahuquillo, T Durduran, P Enblad, P Nilsson, A Ragauskas, K Kiening, K Morris, R Agbeko, R Levin, J Weitz, C Park, P Davis, and on Behalf of BrainIT I ncreased ICP and Its Cerebral Haemodynamic Sequelae������������������������������������������� 47 J Donnelly, M Czosnyka, S Harland, G V Varsos, D Cardim, C Robba, X Liu, P N Ainslie, and P Smielewski hat Determines Outcome in Patients That Suffer Raised W Intracranial Pressure After Traumatic Brain Injury? ������������������������������������������������� 51 S P Klein and B Depreitere isualisation of the ‘Optimal Cerebral Perfusion’ Landscape V in Severe Traumatic Brain Injury Patients ������������������������������������������������������������������� 55 A Ercole, P Smielewski, M J H Aries, R Wesselink, J W J Elting, J Donnelly, M Czosnyka, and N M Maurits I s There a Relationship Between Optimal Cerebral Perfusion Pressure-Guided Management and PaO2/FiO2 Ratio After Severe Traumatic Brain Injury?��������������� 59 M Moreira, D Fernandes, E Pereira, E Monteiro, R Pascoa, and C Dias ognitive Outcomes of Patients with Traumatic Bifrontal Contusions����������������������� 63 C G K C Wong, K Ngai, W S Poon, V Z Y Zheng, and C Yu Brain Monitoring Technology on-invasive Intracranial Pressure Assessment in Brain Injured Patients N Using Ultrasound-Based Methods����������������������������������������������������������������������������������� 69 C Robba, D Cardim, T Tajsic, J Pietersen, M Bulman, F Rasulo, R Bertuetti, J Donnelly, L Xiuyun, Z Czosnyka, M Cabeleira, P Smielewski, B Matta, A Bertuccio, and M Czosnyka nalysis of a Minimally Invasive Intracranial Pressure Signals During A Infusion at the Subarachnoid Spinal Space of Pigs������������������������������������������������������� 75 G Frigieri, R A P Andrade, C C Wang, D Spavieri Jr., L Lopes, R Brunelli, D A Cardim, R M M Verzola, and S Mascarenhas omparison of Different Calibration Methods in a Non-invasive ICP C Assessment Model������������������������������������������������������������������������������������������������������������� 79 B Schmidt, D Cardim, M Weinhold, S Streif, D D McLeod, M Czosnyka, and J Klingelhöfer n Embedded Device for Real-Time Noninvasive Intracranial A Pressure Estimation ��������������������������������������������������������������������������������������������������������� 85 J M Matthews, A.Fanelli, and T Heldt Transcranial Bioimpedance Measurement as a Non-invasive Estimate of Intracranial Pressure��������������������������������������������������������������������������������������������������� 89 C Hawthorne, M Shaw, I Piper, L Moss, and J Kinsella ulsed Electromagnetic Field (PEMF) Mitigates High Intracranial P Pressure (ICP) Induced Microvascular Shunting (MVS) in Rats ������������������������������� 93 D E Bragin, O A Bragina, S Hagberg, and E M Nemoto olumetric Ophthalmic Ultrasound for Inflight Monitoring of Visual V Impairment and Intracranial Pressure��������������������������������������������������������������������������� 97 A Dentinger, M MacDonald, D Ebert, K Garcia, and A Sargsyan Contents Contents ix oes the Variability of Evoked Tympanic Membrane Displacement D Data (Vm) Increase as the Magnitude of the Pulse Amplitude Increases?������������������� 103 S J Sharif, C M Campbell-Bell, D O Bulters, R J Marchbanks, and A A Birch nalysis of a Non-invasive Intracranial Pressure Monitoring A Method in Patients with Traumatic Brain Injury��������������������������������������������������������� 107 G Frigieri, R A P Andrade, C Dias, D L Spavieri Jr., R Brunelli, D A Cardim, C C Wang, R M M Verzola, and S Mascarenhas Wearable Transcranial Doppler Ultrasound Phased Array System ����������������������� 111 A S J Pietrangelo, H-S Lee, and C G Sodini uantification of Macrocirculation and Microcirculation in Brain Q Using Ultrasound Perfusion Imaging����������������������������������������������������������������������������� 115 E J Vinke, J Eyding, C de Korte, C H Slump, J G van der Hoeven, and C W E Hoedemaekers DF5-Based Data Format for Archiving Complex Neuro-monitoring H Data in Traumatic Brain Injury Patients����������������������������������������������������������������������� 121 M Cabeleira, A Ercole, and P Smielewski Neurocritical Care Informatics re Slow Waves of Intracranial Pressure Suppressed by A General Anaesthesia?������������������������������������������������������������������������������������������������������� 129 D A Lalou, M Czosnyka, J Donnelly, A Lavinio, J D Pickard, M Garnett, and Z Czosnyka ritical Closing Pressure During a Controlled Increase C in Intracranial Pressure��������������������������������������������������������������������������������������������������� 133 K Kaczmarska, M Kasprowicz, A Grzanka, W Zabołotny, P Smielewski, D A Lalou, G Varsos, M Czosnyka, and Z Czosnyka ffect of Mild Hypocapnia on Critical Closing Pressure and Other E Mechanoelastic Parameters of the Cerebrospinal System ������������������������������������������� 139 P Smielewski, L Steiner, C Puppo, K Budohoski, G V Varsos, and M Czosnyka ccurrence of CPPopt Values in Uncorrelated ICP and ABP Time Series����������������� 143 O M Cabeleira, M Czosnyka, X Liu, J Donnelly, and P Smielewski imultaneous Transients of Intracranial Pressure and Heart Rate S in Traumatic Brain Injury: Methods of Analysis ��������������������������������������������������������� 147 G M Dimitri, S Agrawal, A Young, J Donnelly, X Liu, P Smielewski, P Hutchinson, M Czosnyka, P Lio, and C Haubrich I ncreasing the Contrast-to-Noise Ratio of MRI Signals for Regional Assessment of Dynamic Cerebral Autoregulation����������������������������������������� 153 J L Jara, N P Saeed, R B Panerai, and T G Robinson omparing Models of Spontaneous Variations, Maneuvers and C Indexes to Assess Dynamic Cerebral Autoregulation��������������������������������������������������� 159 M Chacón, S Noh, J Landerretche, and J.L Jara I CP and Antihypertensive Drugs������������������������������������������������������������������������������������� 163 C Rouzaud-Laborde, P Lafitte, L Balardy, Z Czosnyka, and E A Schmidt I CP: From Correlation to Causation ����������������������������������������������������������������������������� 167 E A Schmidt, O Maarek, J Despres, M Verdier, and L Risser x Waveform Archiving System for the GE Solar 8000i Bedside Monitor������������������� 173 A A Fanelli, R Jaishankar, A Filippidis, J Holsapple, and T Heldt eriving the PRx and CPPopt from 0.2-Hz Data: D Establishing Generalizability to Bedmaster Users��������������������������������������������������������� 179 M Megjhani, K Terilli, A Martin, A Velazquez, J Claassen, D Roh, S Agarwal, P Smielewski, A K Boehme, J M Schmidt, and S Park edical Waveform Format Encoding Rules Representation M of Neurointensive Care Waveform Data������������������������������������������������������������������������� 183 I Piper, M Shaw, C Hawthorne, J Kinsella, and L Moss ulti-Scale Peak and Trough Detection Optimised for Periodic M and Quasi-Periodic Neuroscience Data��������������������������������������������������������������������������� 189 Steven M Bishop and Ari Ercole oom Air Readings of Brain Tissue Oxygenation Probes ������������������������������������������� 197 R S Wolf, L Schürer, and D C Engel hat Do We Mean by Cerebral Perfusion Pressure?��������������������������������������������������� 201 W B Depreitere, G Meyfroidt, and F Güiza I nvestigation of the Relationship Between the Burden of Raised ICP and the Length of Stay in a Neuro-Intensive Care Unit ��������������������������������������� 205 M Shaw, L Moss, C Hawthorne, J Kinsella, and I Piper ressure Reactivity-Based Optimal Cerebral Perfusion Pressure P in a Traumatic Brain Injury Cohort������������������������������������������������������������������������������� 209 J Donnelly, M Czosnyka, H Adams, C Robba, L A Steiner, D Cardim, B Cabella, X Liu, A Ercole, P J Hutchinson, D K Menon, M J H Aries, and P Smielewski Hydrocephalus and CSF Biophysics paceflight-Induced Visual Impairment and Globe Deformations S in Astronauts Are Linked to Orbital Cerebrospinal Fluid Volume Increase ������������� 215 N Alperin and A M Bagci entriculomegaly in the Elderly: Who Needs a Shunt? A MRI V Study on 90 Patients��������������������������������������������������������������������������������������������������������� 221 M Baroncini, O Balédent, C E Ardi, V D Delannoy, G Kuchcinski, A Duhamel, G S Ares, J Lejeune, and J Hodel I s There a Link Between ICP-Derived Infusion Test Parameters and Outcome After Shunting in Normal Pressure Hydrocephalus?��������������������������� 229 E Nabbanja, M Czosnyka, N C Keong, M Garnett, J D Pickard, D A Lalou, and Z Czosnyka athematical Modelling of CSF Pulsatile Flow in Aqueduct Cerebri ����������������������� 233 M Z Czosnyka, D-J Kim, O Balédent, E A Schmidt, P Smielewski, and M Czosnyka erebrospinal Fluid and Cerebral Blood Flows in Idiopathic C Intracranial Hypertension����������������������������������������������������������������������������������������������� 237 C Capel, M Baroncini, C Gondry-Jouet, R Bouzerar, M Czosnyka, Z Czosnyka, and O Balédent Contents Contents xi ignificant Association of Slow Vasogenic ICP Waves S with Normal Pressure Hydrocephalus Diagnosis����������������������������������������������������������� 243 A Spiegelberg, M Krause, J Meixensberger, B Seifert, and V Kurtcuoglu I CP Monitoring and Phase-Contrast MRI to Investigate Intracranial Compliance ������������������������������������������������������������������������������������������������� 247 A Lokossou, O Balédent, S Garnotel, G Page, L Balardy, Z Czosnyka, P Payoux, and E A Schmidt umerical Cerebrospinal System Modeling in Fluid-Structure Interaction��������������� 255 N S Garnotel, S Salmon, and O Balédent Cerebrovascular Autoregulation ifferential Systolic and Diastolic Regulation of the Cerebral D Pressure-Flow Relationship During Squat-Stand Manoeuvres����������������������������������� 263 J D Smirl, A D Wright, P N Ainslie, Y-C Tzeng, and P van Donkelaar ormative Ranges of Transcranial Doppler Metrics����������������������������������������������������� 269 N S Krakauskaite, C Thibeault, J LaVangie, M Scheidt, L Martinez, D Seth-Hunter, A Wu, M O’Brien, F Scalzo, S J Wilk, and R B Hamilton utoregulating Cerebral Tissue Selfishly Exploits Collateral Flow A Routes Through the Circle of Willis������������������������������������������������������������������������������� 275 F A K McConnell and S J Payne I CP Monitoring by Open Extraventricular Drainage: Common Practice but Not Suitable for Advanced Neuromonitoring and Prone to False Negativity ����������������������������������������������������������������������������������������� 281 K Hockel and M U Schuhmann omparison of Intracranial Pressure and Pressure Reactivity Index C Obtained Through Pressure Measurements in the Ventricle and in the Parenchyma During and Outside Cerebrospinal Fluid Drainage Episodes in a Manipulation-Free Patient Setting���������������������������������������������������������� 287 S P Klein, D Bruyninckx, I Callebaut, and B Depreitere isualizing Cerebrovascular Autoregulation Insults and Their Association V with Outcome in Adult and Paediatric Traumatic Brain Injury��������������������������������� 291 M Flechet, G Meyfroidt, I Piper, G Citerio, I Chambers, P A Jones, T M Lo, P Enblad, P Nilsson, B Feyen, P Jorens, A Maas, M U Schuhmann, R Donald, L Moss, G V den Berghe, B Depreitere, and F Güiza ssessing Cerebral Hemodynamic Stability After Brain Injury��������������������������������� 297 A B Pineda, C Kosinski, N Kim, S Danish, and W Craelius ystolic and Diastolic Regulation of the Cerebral Pressure-Flow Relationship S Differentially Affected by Acute Sport-Related Concussion���������������������������������������� 303 A D Wright, J D Smirl, K Bryk, and P van Donkelaar I nduced Dynamic Intracranial Pressure and Cerebrovascular Reactivity Assessment of Cerebrovascular Autoregulation After Traumatic Brain Injury with High Intracranial Pressure in Rats������������������������������� 309 D E Bragin, G L Statom, and E M Nemoto Prediction of the Time to Syncope Occurrence in Patients Diagnosed with Vasovagal Syncope from the ECG signal As previously, five features were found to be important: full width at half maximum, the log energy of the initial and normalized (between and 1) BP waveforms, the number of pairs of adjacent R-R intervals (R in this case Table 1 Pearson’s correlation coefficient between actual and predicted TSO using different types of features Pearson’s Correlation Coefficient (ρ) between actual and predicted TSO Feature used for prediction ECG features 0.957 ABP features 0.882 Features related to interactions between ABP and HRV (reflecting AA or BF) 0.313 Features related to interactions between ABP and CBFV (reflecting CA or CVR) 0.771 a 315 is the systolic ABP), where the first R-R interval exceeds the second R-R interval by more than 20 ms, and the area under the curve of the normalized (between and 1) BP waveforms All aforementioned features exhibited a positive correlation with TSO. Mean ECG and ABP waveforms from all subjects for different TSO values can be found in Fig. 1 Features related with interactions between ABP and HRV had a low predictive performance (ρ: 0.352) On the other hand, features expressing the relationship between ABP and CBFV exhibited better performance (ρ: 0.771) Five features were found to be informative: DC and PDC from CBFV to mean ABP in the LF range (negative correlation with TSO), the mean CVR, defined as MABP divided by CBFV (positive correlation with TSO), and the TFA gain and phase in the LF range (negative correlation with TSO) These results indicate possible differences in CA and CVR in VVS patients, which ultimate lead to different TSO values 253s
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