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Palavani LB, Alves Neto LB, Batista S, Ferreira MY, Emmily de Carvalho D, de Vasconcellos Piscoya G, Teodoro Ramos Cabral Angelim Frazão C, Alves Leite JG, Fernandes MQ, Vieira Nogueira B, Godoy DA, Brasil S, Rubiano AM, Bertani de Magalhães R, Paiva WS. Invasive and Noninvasive Techniques for Intracranial Pressure Monitoring After Decompressive Craniectomy: A Systematic Review and Meta-Analysis. World Neurosurg 2024; 190:76-87. [PMID: 38950649 DOI: 10.1016/j.wneu.2024.06.118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Accepted: 06/22/2024] [Indexed: 07/03/2024]
Abstract
The use of invasive or noninvasive intracranial pressure (ICP) monitoring post-decompressive craniectomy (DC) has been a continuous matter of debate. Accordingly, this meta-analysis aims to examine the existing evidence of both approaches and compare their impact among patients undergoing DC, guiding clinical decision-making in the management of elevated ICP. The databases used were Pubmed, Cochrane, Web of Science, and Embase. Inclusion criteria included: (1) English studies; (2) randomized and nonrandomized studies; (3) reporting on invasive OR noninvasive ICP monitoring after DC; (4) with at least one of the outcomes of interest: incidence of mortality, new cerebral hemorrhages, and the Glasgow Outcome Scale. The study followed the Cochrane and Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Thirty-six studies were included in this meta-analysis, resulting in a sample of 1624 patients. One thousand two hundred eighty-six underwent invasive monitoring, and 338 underwent noninvasive methods. In the invasive group, a mortality rate of 17% (95% confidence interval [CI]: 12%-22%), a good outcome rate of 58% (95% CI: 38%-49%), a poor outcome rate of 42% (95% CI: 21%-62%), and an overall incidence of new hemorrhages of 4% (95% CI: 0%-8%) were found. Whereas in the noninvasive sample, a mortality rate of 20% (95% CI: 15%-26%) and a good outcome rate of 38% (95% CI: 25%-52%) were obtained. It seems that the effectiveness of invasive and noninvasive ICP monitoring methods are comparable in post-DC patients. While invasive monitoring remains gold standard, noninvasive methods offer a safer and cost-effective alternative, potentially improving post-DC patient care, and can mostly be used simultaneously with invasive methods.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Sergio Brasil
- Division of Neurosurgery, Department of Neurology, School of Medicine, University of São Paulo, São Paulo, Brazil
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El-Gendy RS, El-Hamid ASA, Galhom AESA, Hassan NA, Ghoneim EM. Diagnostic dilemma of papilledema and pseudopapilledema. Int Ophthalmol 2024; 44:272. [PMID: 38916684 DOI: 10.1007/s10792-024-03215-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 06/16/2024] [Indexed: 06/26/2024]
Abstract
BACKGROUND Papilledema is the optic disc swelling caused by increased intracranial pressure (ICP) that can damage the optic nerve and cause subsequent vision loss. Pseudopapilledema refers to optic disc elevation without peripapillary fluid that can arise from several optic disc disorders, with optic disc drusen (ODD) being the most frequent cause. Occasionally, pseudopapilledema patients are mistakenly diagnosed as papilledema, leading to the possibility of unneeded procedures. We aim to thoroughly examine the most current evidence on papilledema and pseudopapilledema causes and several methods for distinguishing between both conditions. METHODS An extensive literature search was conducted on electronic databases including PubMed and google scholar using keywords that were relevant to the assessed pathologies. Data were collected and then summarized in comprehensive form. RESULTS Various techniques are employed to distinguish between papilledema and pseudopapilledema. These techniques include Fundus fluorescein angiography, optical coherence tomography, ultrasonography, and magnetic resonance imaging. Lumbar puncture and other invasive procedures may be needed if results are suspicious. CONCLUSION Papilledema is a sight-threatening condition that may lead to visual affection. Many disc conditions may mimic papilledema. Accordingly, differentiation between papilledema and pseudopailledema is crucial and can be conducted through many modalities.
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Affiliation(s)
| | | | | | - Nihal Adel Hassan
- Department of Ophthalmology, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Ehab Mahmoud Ghoneim
- Department of Ophthalmology, Faculty of Medicine, PortSaid University, PortSaid, Egypt
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段 雪, 韦 锦, 梁 安, 纪 雪. [Small tidal volume hyperventilation relieves intraocular and intracranial pressure elevation in prone spinal surgery: a randomized controlled trial]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2024; 44:660-665. [PMID: 38708498 PMCID: PMC11073951 DOI: 10.12122/j.issn.1673-4254.2024.04.06] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Indexed: 05/07/2024]
Abstract
OBJECTIVE To investigate the effects of different ventilation strategies on intraocular pressure (IOP) and intracranial pressure in patients undergoing spinal surgery in the prone position under general anesthesia. METHODS Seventy-two patients undergoing prone spinal surgery under general anesthesia between November, 2022 and June, 2023 were equally randomized into two groups to receive routine ventilation (with Vt of 8mL/kg, Fr of 12-15/min, and etCO2 maintained at 35-40 mmHg) or small tidal volume hyperventilation (Vt of 6 mL/kg, Fr of18-20/min, and etCO2 maintained at 30-35 mmHg) during the surgery. IOP of both eyes (measured with a handheld tonometer), optic nerve sheath diameter (ONSD; measured at 3 mm behind the eyeball with bedside real-time ultrasound), circulatory and respiratory parameters of the patients were recorded before anesthesia (T0), immediately after anesthesia induction (T1), immediately after prone positioning (T2), at 2 h during operation (T3), immediately after supine positioning after surgery (T4) and 30 min after the operation (T5). RESULTS Compared with those at T1, IOP and ONSD in both groups increased significantly at T3 and T4(P < 0.05). IOP was significantly lower in hyperventilation group than in routine ventilation group at T3 and T4(P < 0.05), and ONSD was significantly lower in hyperventilation group at T4(P < 0.05). IOP was positively correlated with the length of operative time (r=0.779, P < 0.001) and inversely with intraoperative etCO2 at T3(r=-0.248, P < 0.001) and T4(r=-0.251, P < 0.001).ONSD was correlated only with operation time (r=0.561, P < 0.05) and not with IOP (r=0.178, P>0.05 at T3; r=0.165, P>0.05 at T4). CONCLUSION Small tidal volume hyperventilation can relieve the increase of IOP and ONSD during prone spinal surgery under general anesthesia.
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Affiliation(s)
- 雪飞 段
- 南方医科大学附属广东省人民医院麻醉科, 广东 广州 510080Department of Anesthesiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - 锦锋 韦
- 南方医科大学附属广东省人民医院麻醉科, 广东 广州 510080Department of Anesthesiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - 安怡 梁
- 南方医科大学附属广东省人民医院眼科, 广东 广州 510080Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - 雪霞 纪
- 南方医科大学附属广东省人民医院麻醉科, 广东 广州 510080Department of Anesthesiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
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Müller SJ, Henkes E, Gounis MJ, Felber S, Ganslandt O, Henkes H. Non-Invasive Intracranial Pressure Monitoring. J Clin Med 2023; 12:jcm12062209. [PMID: 36983213 PMCID: PMC10051320 DOI: 10.3390/jcm12062209] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/09/2023] [Accepted: 03/11/2023] [Indexed: 03/15/2023] Open
Abstract
(1) Background: Intracranial pressure (ICP) monitoring plays a key role in the treatment of patients in intensive care units, as well as during long-term surgeries and interventions. The gold standard is invasive measurement and monitoring via ventricular drainage or a parenchymal probe. In recent decades, numerous methods for non-invasive measurement have been evaluated but none have become established in routine clinical practice. The aim of this study was to reflect on the current state of research and shed light on relevant techniques for future clinical application. (2) Methods: We performed a PubMed search for “non-invasive AND ICP AND (measurement OR monitoring)” and identified 306 results. On the basis of these search results, we conducted an in-depth source analysis to identify additional methods. Studies were analyzed for design, patient type (e.g., infants, adults, and shunt patients), statistical evaluation (correlation, accuracy, and reliability), number of included measurements, and statistical assessment of accuracy and reliability. (3) Results: MRI-ICP and two-depth Doppler showed the most potential (and were the most complex methods). Tympanic membrane temperature, diffuse correlation spectroscopy, natural resonance frequency, and retinal vein approaches were also promising. (4) Conclusions: To date, no convincing evidence supports the use of a particular method for non-invasive intracranial pressure measurement. However, many new approaches are under development.
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Affiliation(s)
- Sebastian Johannes Müller
- Neuroradiologische Klinik, Klinikum Stuttgart, D-70174 Stuttgart, Germany
- Correspondence: ; Tel.: +49-(0)711-278-34501
| | - Elina Henkes
- Neuroradiologische Klinik, Klinikum Stuttgart, D-70174 Stuttgart, Germany
| | - Matthew J. Gounis
- New England Center for Stroke Research, Department of Radiology, University of Massachusetts, Worcester, MA 01655, USA
| | - Stephan Felber
- Institut für Diagnostische und Interventionelle Radiologie und Neuroradiologie, Stiftungsklinikum Mittelrhein, D-56068 Koblenz, Germany
| | - Oliver Ganslandt
- Neurochirurgische Klinik, Klinikum Stuttgart, D-70174 Stuttgart, Germany
| | - Hans Henkes
- Neuroradiologische Klinik, Klinikum Stuttgart, D-70174 Stuttgart, Germany
- Medizinische Fakultät, Universität Duisburg-Essen, D-47057 Duisburg, Germany
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Development of a Computer System for Automatically Generating a Laser Photocoagulation Plan to Improve the Retinal Coagulation Quality in the Treatment of Diabetic Retinopathy. Symmetry (Basel) 2023. [DOI: 10.3390/sym15020287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
In this article, the development of a computer system for high-tech medical uses in ophthalmology is proposed. An overview of the main methods and algorithms that formed the basis of the coagulation plan planning system is presented. The system provides the formation of a more effective plan for laser coagulation in comparison with the use of existing coagulation techniques. An analysis of monopulse- and pattern-based laser coagulation techniques in the treatment of diabetic retinopathy has shown that modern treatment methods do not provide the required efficacy of medical laser coagulation procedures, as the laser energy is nonuniformly distributed across the pigment epithelium and may exert an excessive effect on parts of the retina and anatomical elements. The analysis has shown that the efficacy of retinal laser coagulation for the treatment of diabetic retinopathy is determined by the relative position of coagulates and parameters of laser exposure. In the course of the development of the computer system proposed herein, main stages of processing diagnostic data were identified. They are as follows: the allocation of the laser exposure zone, the evaluation of laser pulse parameters that would be safe for the fundus, mapping a coagulation plan in the laser exposure zone, followed by the analysis of the generated plan for predicting the therapeutic effect. In the course of the study, it was found that the developed algorithms for placing coagulates in the area of laser exposure provide a more uniform distribution of laser energy across the pigment epithelium when compared to monopulse- and pattern-based laser coagulation techniques.
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Tabassum S, Ruesch A, Acharya D, Yang J, Relander FAJ, Scammon B, Wolf MS, Rakkar J, Clark RSB, McDowell MM, Kainerstorfer JM. Clinical translation of noninvasive intracranial pressure sensing with diffuse correlation spectroscopy. J Neurosurg 2022:1-10. [PMID: 36683191 DOI: 10.3171/2022.9.jns221203] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 09/20/2022] [Indexed: 11/19/2022]
Abstract
OBJECTIVE Intracranial pressure (ICP) is an important therapeutic target in many critical neuropathologies. The current tools for ICP measurements are invasive; hence, these are only selectively applied in critical cases where the benefits surpass the risks. To address the need for low-risk ICP monitoring, the authors developed a noninvasive alternative. METHODS The authors recently demonstrated noninvasive quantification of ICP in an animal model by using morphological analysis of microvascular cerebral blood flow (CBF) measured with diffuse correlation spectroscopy (DCS). The current prospective observational study expanded on this preclinical study by translating the method to pediatric patients. Here, the CBF features, along with mean arterial pressure (MAP) and heart rate (HR) data, were used to build a random decision forest, machine learning model for estimation of ICP; the results of this model were compared with those of invasive monitoring. RESULTS Fifteen patients (mean age ± SD [range] 9.8 ± 5.1 [0.3-17.5] years; median age [interquartile range] 11 [7.4] years; 10 males and 5 females) who underwent invasive neuromonitoring for any purpose were enrolled. Estimated ICP (ICPest) very closely matched invasive ICP (ICPinv), with a root mean square error (RMSE) of 1.01 mm Hg and 95% limit of agreement of ≤ 1.99 mm Hg for ICPinv 0.01-41.25 mm Hg. When the ICP range (ICPinv 0.01-29.05 mm Hg) was narrowed on the basis of the sample population, both RMSE and limit of agreement improved to 0.81 mm Hg and ≤ 1.6 mm Hg, respectively. In addition, 0.3% of the test samples for ICPinv ≤ 20 mm Hg and 5.4% of the test samples for ICPinv > 20 mm Hg had a limit of agreement > 5 mm Hg, which may be considered the acceptable limit of agreement for clinical validity of ICP sensing. For the narrower case, 0.1% of test samples for ICPinv ≤ 20 mm Hg and 1.1% of the test samples for ICPinv > 20 mm Hg had a limit of agreement > 5 mm Hg. Although the CBF features were crucial, the best prediction accuracy was achieved when these features were combined with MAP and HR data. Lastly, preliminary leave-one-out analysis showed model accuracy with an RMSE of 6 mm Hg and limit of agreement of ≤ 7 mm Hg. CONCLUSIONS The authors have shown that DCS may enable ICP monitoring with additional clinical validation. The lower risk of such monitoring would allow ICP to be estimated for a wide spectrum of indications, thereby both reducing the use of invasive monitors and increasing the types of patients who may benefit from ICP-directed therapies.
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Affiliation(s)
- Syeda Tabassum
- 1Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh
| | - Alexander Ruesch
- 1Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh.,4Neuroscience Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania
| | - Deepshikha Acharya
- 1Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh
| | - Jason Yang
- 1Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh
| | - Filip A J Relander
- 1Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh
| | - Bradley Scammon
- 1Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh
| | - Michael S Wolf
- 2Division of Pediatric Critical Care Medicine, Department of Critical Care Medicine, UPMC Children's Hospital of Pittsburgh, Pittsburgh
| | - Jaskaran Rakkar
- 2Division of Pediatric Critical Care Medicine, Department of Critical Care Medicine, UPMC Children's Hospital of Pittsburgh, Pittsburgh
| | - Robert S B Clark
- 2Division of Pediatric Critical Care Medicine, Department of Critical Care Medicine, UPMC Children's Hospital of Pittsburgh, Pittsburgh
| | - Michael M McDowell
- 3Division of Neurological Surgery, UPMC Children's Hospital of Pittsburgh, Pittsburgh; and
| | - Jana M Kainerstorfer
- 1Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh.,4Neuroscience Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania
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Abdul-Rahman A, Morgan W, Yu DY. A machine learning approach in the non-invasive prediction of intracranial pressure using Modified Photoplethysmography. PLoS One 2022; 17:e0275417. [PMID: 36174066 PMCID: PMC9521929 DOI: 10.1371/journal.pone.0275417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Accepted: 09/16/2022] [Indexed: 11/19/2022] Open
Abstract
The ideal Intracranial pressure (ICP) estimation method should be accurate, reliable, cost-effective, compact, and associated with minimal morbidity/mortality. To this end several described non-invasive methods in ICP estimation have yielded promising results, however the reliability of these techniques have yet to supersede invasive methods of ICP measurement. Over several publications, we described a novel imaging method of Modified Photoplethysmography in the evaluation of the retinal vascular pulse parameters decomposed in the Fourier domain, which enables computationally efficient information filtering of the retinal vascular pulse wave. We applied this method in a population of 21 subjects undergoing lumbar puncture manometry. A regression model was derived by applying an Extreme Gradient Boost (XGB) machine learning algorithm using retinal vascular pulse harmonic regression waveform amplitude (HRWa), first and second harmonic cosine and sine coefficients (an1,2, bn1,2) among other features. Gain and SHapley Additive exPlanation (SHAP) values ranked feature importance in the model. Agreement between the predicted ICP mean, median and peak density with measured ICP was assessed using Bland-Altman bias±standard error. Feature gain of intraocular pressure (IOPi) (arterial = 0.6092, venous = 0.5476), and of the Fourier coefficients, an1 (arterial = 0.1000, venous = 0.1024) ranked highest in the XGB model for both vascular systems. The arterial model SHAP values demonstrated the importance of the laterality of the tested eye (1.2477), which was less prominent in the venous model (0.8710). External validation was achieved using seven hold-out test cases, where the median venous predicted ICP showed better agreement with measured ICP. Although the Bland-Altman bias from the venous model (0.034±1.8013 cm water (p<0.99)) was lower compared to that of the arterial model (0.139±1.6545 cm water (p<0.94)), the arterial model provided a potential avenue for internal validation of the prediction. This approach can potentially be integrated into a neurological clinical decision algorithm to evaluate the indication for lumbar puncture.
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Affiliation(s)
- Anmar Abdul-Rahman
- Department of Ophthalmology, Counties Manukau District Health Board, Auckland, New Zealand
- * E-mail:
| | - William Morgan
- Centre for Ophthalmology and Visual Science, The University of Western Australia, Perth, Australia
- Lions Eye Institute, University of Western Australia, Perth, Australia
| | - Dao-Yi Yu
- Centre for Ophthalmology and Visual Science, The University of Western Australia, Perth, Australia
- Lions Eye Institute, University of Western Australia, Perth, Australia
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