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Srikrishna M, Seo W, Zettergren A, Kern S, Cantré D, Gessler F, Sotoudeh H, Seidlitz J, Bernstock JD, Wahlund LO, Westman E, Skoog I, Virhammar J, Fällmar D, Schöll M. Assessing CT-based Volumetric Analysis via Transfer Learning with MRI and Manual Labels for Idiopathic Normal Pressure Hydrocephalus. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.23.24309144. [PMID: 38978640 PMCID: PMC11230337 DOI: 10.1101/2024.06.23.24309144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Background Brain computed tomography (CT) is an accessible and commonly utilized technique for assessing brain structure. In cases of idiopathic normal pressure hydrocephalus (iNPH), the presence of ventriculomegaly is often neuroradiologically evaluated by visual rating and manually measuring each image. Previously, we have developed and tested a deep-learning-model that utilizes transfer learning from magnetic resonance imaging (MRI) for CT-based intracranial tissue segmentation. Accordingly, herein we aimed to enhance the segmentation of ventricular cerebrospinal fluid (VCSF) in brain CT scans and assess the performance of automated brain CT volumetrics in iNPH patient diagnostics. Methods The development of the model used a two-stage approach. Initially, a 2D U-Net model was trained to predict VCSF segmentations from CT scans, using paired MR-VCSF labels from healthy controls. This model was subsequently refined by incorporating manually segmented lateral CT-VCSF labels from iNPH patients, building on the features learned from the initial U-Net model. The training dataset included 734 CT datasets from healthy controls paired with T1-weighted MRI scans from the Gothenburg H70 Birth Cohort Studies and 62 CT scans from iNPH patients at Uppsala University Hospital. To validate the model's performance across diverse patient populations, external clinical images including scans of 11 iNPH patients from the Universitatsmedizin Rostock, Germany, and 30 iNPH patients from the University of Alabama at Birmingham, United States were used. Further, we obtained three CT-based volumetric measures (CTVMs) related to iNPH. Results Our analyses demonstrated strong volumetric correlations (ϱ=0.91, p<0.001) between automatically and manually derived CT-VCSF measurements in iNPH patients. The CTVMs exhibited high accuracy in differentiating iNPH patients from controls in external clinical datasets with an AUC of 0.97 and in the Uppsala University Hospital datasets with an AUC of 0.99. Discussion CTVMs derived through deep learning, show potential for assessing and quantifying morphological features in hydrocephalus. Critically, these measures performed comparably to gold-standard neuroradiology assessments in distinguishing iNPH from healthy controls, even in the presence of intraventricular shunt catheters. Accordingly, such an approach may serve to improve the radiological evaluation of iNPH diagnosis/monitoring (i.e., treatment responses). Since CT is much more widely available than MRI, our results have considerable clinical impact.
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Affiliation(s)
- Meera Srikrishna
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Physiology and Neuroscience, University of Gothenburg, Gothenburg, Sweden
| | - Woosung Seo
- Department of Surgical Sciences, Neuroradiology, Uppsala University, Uppsala, Sweden
| | - Anna Zettergren
- Neuropsychiatric Epidemiology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap), University of Gothenburg, Gothenburg, Sweden
| | - Silke Kern
- Neuropsychiatric Epidemiology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap), University of Gothenburg, Gothenburg, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Daniel Cantré
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, Rostock, Germany
| | - Florian Gessler
- Department of Neurosurgery, University Medicine of Rostock, 18057 Rostock, Germany
| | - Houman Sotoudeh
- Department of Neuroradiology, University of Alabama, Birmingham, AL, United States
| | - Jakob Seidlitz
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, United States
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, United States
| | - Joshua D. Bernstock
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Lars-Olof Wahlund
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Eric Westman
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap), University of Gothenburg, Gothenburg, Sweden
| | - Johan Virhammar
- Department of Medical Sciences, Neurology, Uppsala University, Uppsala, Sweden
| | - David Fällmar
- Department of Surgical Sciences, Neuroradiology, Uppsala University, Uppsala, Sweden
| | - Michael Schöll
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Physiology and Neuroscience, University of Gothenburg, Gothenburg, Sweden
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
- Department of Psychiatry, Cognition and Aging Psychiatry, Sahlgrenska University Hospital, Mölndal, Sweden
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Kadaba Sridhar S, Dysterheft Robb J, Gupta R, Cheong S, Kuang R, Samadani U. Structural neuroimaging markers of normal pressure hydrocephalus versus Alzheimer's dementia and Parkinson's disease, and hydrocephalus versus atrophy in chronic TBI-a narrative review. Front Neurol 2024; 15:1347200. [PMID: 38576534 PMCID: PMC10991762 DOI: 10.3389/fneur.2024.1347200] [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: 11/30/2023] [Accepted: 02/07/2024] [Indexed: 04/06/2024] Open
Abstract
Introduction Normal Pressure Hydrocephalus (NPH) is a prominent type of reversible dementia that may be treated with shunt surgery, and it is crucial to differentiate it from irreversible degeneration caused by its symptomatic mimics like Alzheimer's Dementia (AD) and Parkinson's Disease (PD). Similarly, it is important to distinguish between (normal pressure) hydrocephalus and irreversible atrophy/degeneration which are among the chronic effects of Traumatic Brain Injury (cTBI), as the former may be reversed through shunt placement. The purpose of this review is to elucidate the structural imaging markers which may be foundational to the development of accurate, noninvasive, and accessible solutions to this problem. Methods By searching the PubMed database for keywords related to NPH, AD, PD, and cTBI, we reviewed studies that examined the (1) distinct neuroanatomical markers of degeneration in NPH versus AD and PD, and atrophy versus hydrocephalus in cTBI and (2) computational methods for their (semi-) automatic assessment on Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) scans. Results Structural markers of NPH and those that can distinguish it from AD have been well studied, but only a few studies have explored its structural distinction between PD. The structural implications of cTBI over time have been studied. But neuroanatomical markers that can predict shunt response in patients with either symptomatic idiopathic NPH or post-traumatic hydrocephalus have not been reliably established. MRI-based markers dominate this field of investigation as compared to CT, which is also reflected in the disproportionate number of MRI-based computational methods for their automatic assessment. Conclusion Along with an up-to-date literature review on the structural neurodegeneration due to NPH versus AD/PD, and hydrocephalus versus atrophy in cTBI, this article sheds light on the potential of structural imaging markers as (differential) diagnostic aids for the timely recognition of patients with reversible (normal pressure) hydrocephalus, and opportunities to develop computational tools for their objective assessment.
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Affiliation(s)
- Sharada Kadaba Sridhar
- Department of Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, MN, United States
- Neurotrauma Research Lab, Center for Veterans Research and Education, Minneapolis, MN, United States
| | - Jen Dysterheft Robb
- Neurotrauma Research Lab, Center for Veterans Research and Education, Minneapolis, MN, United States
| | - Rishabh Gupta
- Neurotrauma Research Lab, Center for Veterans Research and Education, Minneapolis, MN, United States
- University of Minnesota Twin Cities Medical School, Minneapolis, MN, United States
| | - Scarlett Cheong
- Department of Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, MN, United States
- Neurotrauma Research Lab, Center for Veterans Research and Education, Minneapolis, MN, United States
| | - Rui Kuang
- Department of Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, MN, United States
- Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, United States
| | - Uzma Samadani
- Department of Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, MN, United States
- Neurotrauma Research Lab, Center for Veterans Research and Education, Minneapolis, MN, United States
- University of Minnesota Twin Cities Medical School, Minneapolis, MN, United States
- Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, United States
- Division of Neurosurgery, Department of Surgery, Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, United States
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Le Rhun E, Devos P, Seystahl K, Jongen JLM, Gramatzki D, Roth P, Van Den Bent MJ, Regli L, Brandsma D, Weller M. Prognostic Role of Ventricular Size and Its Dynamics in Patients With Leptomeningeal Metastasis From Solid Tumors. Neurology 2024; 102:e207959. [PMID: 38335471 PMCID: PMC10834142 DOI: 10.1212/wnl.0000000000207959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 09/11/2023] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Hydrocephalus is a common radiologic sign in patients with leptomeningeal metastasis (LM) from solid tumors which can be assessed using the Evans index (EI). Here, we explored the prognostic value of ventricular size in LM. METHODS We identified patients with LM from solid tumors by chart review at 3 academic hospitals to explore the prognostic associations of the EI at diagnosis, first follow-up, and progression. RESULTS We included 113 patients. The median age was 58.3 years (interquartile range [IQR] 46.1-65.8), 41 patients (36%) were male, and 72 patients (64%) were female. The most frequent cancers were lung cancer (n = 39), breast cancer (n = 36), and melanoma (n = 23). The median EI at baseline was 0.28 (IQR 0.26-0.31); the EI value was 0.27 or more in 67 patients (59%) and 0.30 or more in 37 patients (33%). Among patients with MRI follow-up, the EI increased by 0.01 or more in 16 of 31 patients (52%), including 8 of 30 patients (30%) without and 10 of 17 patients (59%) with LM progression at first follow-up. At LM progression, an increase of EI of 0.01 or more was noted in 18 of 34 patients (53%). The median survival was 2.9 months (IQR 1-7.2). Patients with a baseline EI below 0.27 had a longer survival than those with an EI of 0.27 or more (5.3 months, IQR 2.4-10.8, vs 1.3 months, IQR 0.6-4.1) (HR 1.70, 95% CI 1.135-2.534, p = 0.0099). The median survival was 3.7 months (IQR 1.4-8.3) with an EI below 0.30 vs 1.8 months (IQR 0.8-4.1) with an EI of 0.30 or more (HR 1.40, 95% CI 0.935-1.243, p = 0.1113). Among patients with follow-up scans available, the overall survival was 9.4 months (IQR 5.6-21.0) for patients with stable or decreased EI at first follow-up as opposed to 5.6 months (IQR 2.5-10.5) for those with an increase in the EI (HR 1.08, 95% CI 0.937-1.243; p = 0.300). DISCUSSION The EI at baseline is prognostic in LM. An increase of EI during follow-up may be associated with inferior LM progression-free survival. Independent validation cohorts with larger sample size and evaluation of confounding factors will help to better define the clinical utility of EI assessments in LM.
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Affiliation(s)
- Emilie Le Rhun
- From the Departments of Neurosurgery (E.L.R., L.R.) and Neurology (E.L.R., K.S., D.G., P.R., M.W.), University Hospital and University of Zurich, Switzerland; Lillometrics (P.D.), Univ. Lille - CHU Lille; Brain Tumor Center at Erasmus MC Cancer Institute (J.L.J., M.J.V.D.B.), Erasmus University Hospital Rotterdam, the Netherlands; and Department of Neuro-Oncology (D.B.), Netherlands Cancer Institute, Amsterdam
| | - Patrick Devos
- From the Departments of Neurosurgery (E.L.R., L.R.) and Neurology (E.L.R., K.S., D.G., P.R., M.W.), University Hospital and University of Zurich, Switzerland; Lillometrics (P.D.), Univ. Lille - CHU Lille; Brain Tumor Center at Erasmus MC Cancer Institute (J.L.J., M.J.V.D.B.), Erasmus University Hospital Rotterdam, the Netherlands; and Department of Neuro-Oncology (D.B.), Netherlands Cancer Institute, Amsterdam
| | - Katharina Seystahl
- From the Departments of Neurosurgery (E.L.R., L.R.) and Neurology (E.L.R., K.S., D.G., P.R., M.W.), University Hospital and University of Zurich, Switzerland; Lillometrics (P.D.), Univ. Lille - CHU Lille; Brain Tumor Center at Erasmus MC Cancer Institute (J.L.J., M.J.V.D.B.), Erasmus University Hospital Rotterdam, the Netherlands; and Department of Neuro-Oncology (D.B.), Netherlands Cancer Institute, Amsterdam
| | - Joost L M Jongen
- From the Departments of Neurosurgery (E.L.R., L.R.) and Neurology (E.L.R., K.S., D.G., P.R., M.W.), University Hospital and University of Zurich, Switzerland; Lillometrics (P.D.), Univ. Lille - CHU Lille; Brain Tumor Center at Erasmus MC Cancer Institute (J.L.J., M.J.V.D.B.), Erasmus University Hospital Rotterdam, the Netherlands; and Department of Neuro-Oncology (D.B.), Netherlands Cancer Institute, Amsterdam
| | - Dorothee Gramatzki
- From the Departments of Neurosurgery (E.L.R., L.R.) and Neurology (E.L.R., K.S., D.G., P.R., M.W.), University Hospital and University of Zurich, Switzerland; Lillometrics (P.D.), Univ. Lille - CHU Lille; Brain Tumor Center at Erasmus MC Cancer Institute (J.L.J., M.J.V.D.B.), Erasmus University Hospital Rotterdam, the Netherlands; and Department of Neuro-Oncology (D.B.), Netherlands Cancer Institute, Amsterdam
| | - Patrick Roth
- From the Departments of Neurosurgery (E.L.R., L.R.) and Neurology (E.L.R., K.S., D.G., P.R., M.W.), University Hospital and University of Zurich, Switzerland; Lillometrics (P.D.), Univ. Lille - CHU Lille; Brain Tumor Center at Erasmus MC Cancer Institute (J.L.J., M.J.V.D.B.), Erasmus University Hospital Rotterdam, the Netherlands; and Department of Neuro-Oncology (D.B.), Netherlands Cancer Institute, Amsterdam
| | - Martin J Van Den Bent
- From the Departments of Neurosurgery (E.L.R., L.R.) and Neurology (E.L.R., K.S., D.G., P.R., M.W.), University Hospital and University of Zurich, Switzerland; Lillometrics (P.D.), Univ. Lille - CHU Lille; Brain Tumor Center at Erasmus MC Cancer Institute (J.L.J., M.J.V.D.B.), Erasmus University Hospital Rotterdam, the Netherlands; and Department of Neuro-Oncology (D.B.), Netherlands Cancer Institute, Amsterdam
| | - Luca Regli
- From the Departments of Neurosurgery (E.L.R., L.R.) and Neurology (E.L.R., K.S., D.G., P.R., M.W.), University Hospital and University of Zurich, Switzerland; Lillometrics (P.D.), Univ. Lille - CHU Lille; Brain Tumor Center at Erasmus MC Cancer Institute (J.L.J., M.J.V.D.B.), Erasmus University Hospital Rotterdam, the Netherlands; and Department of Neuro-Oncology (D.B.), Netherlands Cancer Institute, Amsterdam
| | - Dieta Brandsma
- From the Departments of Neurosurgery (E.L.R., L.R.) and Neurology (E.L.R., K.S., D.G., P.R., M.W.), University Hospital and University of Zurich, Switzerland; Lillometrics (P.D.), Univ. Lille - CHU Lille; Brain Tumor Center at Erasmus MC Cancer Institute (J.L.J., M.J.V.D.B.), Erasmus University Hospital Rotterdam, the Netherlands; and Department of Neuro-Oncology (D.B.), Netherlands Cancer Institute, Amsterdam
| | - Michael Weller
- From the Departments of Neurosurgery (E.L.R., L.R.) and Neurology (E.L.R., K.S., D.G., P.R., M.W.), University Hospital and University of Zurich, Switzerland; Lillometrics (P.D.), Univ. Lille - CHU Lille; Brain Tumor Center at Erasmus MC Cancer Institute (J.L.J., M.J.V.D.B.), Erasmus University Hospital Rotterdam, the Netherlands; and Department of Neuro-Oncology (D.B.), Netherlands Cancer Institute, Amsterdam
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Yang Y, Yan M, Liu X, Li S, Lin G. Improve the diagnosis of idiopathic normal pressure hydrocephalus by combining abnormal cortical thickness and ventricular morphometry. Front Aging Neurosci 2024; 16:1338755. [PMID: 38486858 PMCID: PMC10937576 DOI: 10.3389/fnagi.2024.1338755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 02/20/2024] [Indexed: 03/17/2024] Open
Abstract
Background The primary imaging markers for idiopathic Normal Pressure Hydrocephalus (iNPH) emphasize morphological measurements within the ventricular system, with no attention given to alterations in brain parenchyma. This study aimed to investigate the potential effectiveness of combining ventricular morphometry and cortical structural measurements as diagnostic biomarkers for iNPH. Methods A total of 57 iNPH patients and 55 age-matched healthy controls (HC) were recruited in this study. Firstly, manual measurements of ventricular morphology, including Evans Index (EI), z-Evans Index (z-EI), Cella Media Width (CMW), Callosal Angle (CA), and Callosal Height (CH), were conducted based on MRI scans. Cortical thickness measurements were obtained, and statistical analyses were performed using surface-based morphometric analysis. Secondly, three distinct models were developed using machine learning algorithms, each based on a different input feature: a ventricular morphology model (LVM), a cortical thickness model (CT), and a fusion model (All) incorporating both features. Model performances were assessed using 10-fold cross validation and tested on an independent dataset. Model interpretation utilized Shapley Additive Interpretation (SHAP), providing a visualization of the contribution of each variable in the predictive model. Finally, Spearman correlation coefficients were calculated to evaluate the relationship between imaging biomarkers and clinical symptoms. Results iNPH patients exhibited notable differences in cortical thickness compared to HC. This included reduced thickness in the frontal, temporal, and cingulate cortices, along with increased thickness in the supracentral gyrus. The diagnostic performance of the fusion model (All) for iNPH surpassed that of the single-feature models, achieving an average accuracy of 90.43%, sensitivity of 90.00%, specificity of 90.91%, and Matthews correlation coefficient (MCC) of 81.03%. This improvement in accuracy (6.09%), sensitivity (11.67%), and MCC (11.25%) compared to the LVM strategy was significant. Shap analysis revealed the crucial role of cortical thickness in the right isthmus cingulate cortex, emerging as the most influential factor in distinguishing iNPH from HC. Additionally, significant correlations were observed between the typical triad symptoms of iNPH patients and cortical structural alterations. Conclusion This study emphasizes the significant role of cortical structure changes in the diagnosis of iNPH, providing a novel insights for assisting clinicians in improving the identification and detection of iNPH.
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Affiliation(s)
| | | | | | - Shihong Li
- Department of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Guangwu Lin
- Department of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
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Ziegelitz D, Hellström P, Björkman-Burtscher IM, Agerskov S, Stevens-Jones O, Farahmand D, Tullberg M. Evaluation of a Fully Automated Method for Ventricular Volume Segmentation Before and After Shunt Surgery in Idiopathic Normal Pressure Hydrocephalus. World Neurosurg 2024; 181:e303-e311. [PMID: 37838163 DOI: 10.1016/j.wneu.2023.10.045] [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: 09/27/2023] [Accepted: 10/07/2023] [Indexed: 10/16/2023]
Abstract
BACKGROUND Determination of the ventricle size in idiopathic normal pressure hydrocephalus (iNPH) is essential for diagnosis and follow-up of shunt results. Fully automated segmentation methods are anticipated to optimize the accuracy and time efficiency of ventricular volume measurements. We evaluated the accuracy of preoperative and postoperative ventricular volume measurements in iNPH by a magnetic resonance imaging (MRI)-based licensed software for fully automated quantitative assessment. METHODS Forty-eight patients diagnosed with iNPH were retrospectively analyzed. All patients received a ventriculoperitoneal shunt and had symptom grading and routine MRI preoperatively and 3-6 months postoperatively. Ventricular volumes, generated by fully automated T1-weighted imaging volume sequence segmentation, were compared with semiautomatic measurements and routine radiologic reports. The relation of postoperative ventricular size change to clinical response was evaluated. RESULTS Fully automated segmentation was achieved in 95% of the MRIs, but showed various rates of 8 minor segmentation errors. The correlation between both segmentation methods was very strong (r >0.9) and the agreement very good using Bland-Altman analyses. The ventricular volumes differed significantly between semiautomated and fully automated segmentations and between preoperative and postoperative MRI. The fully automated method systematically overestimated the ventricles by a median 15 mL preoperatively and 14 mL postoperatively; hence, the magnitudes of volume changes were equivalent. Routine radiologic reports of ventricular size changes were inaccurate in 51% and lacked association with treatment response. Objectively measured ventricular volume changes correlated moderately with postoperative clinical improvement. CONCLUSIONS A fully automated volumetric method permits reliable evaluation of preoperative ventriculomegaly and postoperative ventricular volume change in idiopathic normal pressure hydrocephalus.
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Affiliation(s)
- Doerthe Ziegelitz
- Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Per Hellström
- Department of Clinical Neuroscience, Hydrocephalus Research Unit, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Isabella M Björkman-Burtscher
- Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Simon Agerskov
- Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Oskar Stevens-Jones
- Department of Clinical Neuroscience, Hydrocephalus Research Unit, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Dan Farahmand
- Department of Clinical Neuroscience, Hydrocephalus Research Unit, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Mats Tullberg
- Department of Clinical Neuroscience, Hydrocephalus Research Unit, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden.
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Ziółkowski A, Kasprowicz M, Czosnyka M, Czosnyka Z. Brain blood flow pulse analysis may help to recognize individuals who suffer from hydrocephalus. Acta Neurochir (Wien) 2023; 165:4045-4054. [PMID: 37889335 PMCID: PMC10739525 DOI: 10.1007/s00701-023-05839-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 10/06/2023] [Indexed: 10/28/2023]
Abstract
BACKGROUND Normal pressure hydrocephalus (NPH) is often associated with altered cerebral blood flow. Recent research with the use of the ultrasonic method suggests specific changes in the shape of cardiac-related cerebral arterial blood volume (CaBV) pulses in NPH patients. Our study aims to provide a quantitative analysis of the shape of CaBV pulses, estimated based on transcranial Doppler ultrasonography (TCD) in NPH patients and healthy individuals. METHODS The CaBV pulses were estimated using TCD cerebral blood flow velocity signals recorded from probable NPH adults and age-matched healthy individuals at rest. The shape of the CaBV pulses was compared to a triangular shape with 27 similarity parameters calculated for every reliable CaBV pulse and compared between patients and volunteers. The diagnostic accuracy of the most prominent parameter for NPH classification was evaluated using the area under the receiver operating characteristic curve (AUC). RESULTS The similarity parameters were calculated for 31 probable NPH patients (age: 59 years (IQR: 47, 67 years), 14 females) and 23 healthy volunteers (age: 54 years (IQR: 43, 61 years), 18 females). Eighteen of 27 parameters were different between healthy individuals and NPH patients (p < 0.05). The most prominent differences were found for the ascending slope of the CaBV pulse with the AUC equal to 0.87 (95% confidence interval: 0.77, 0.97, p < 0.001). CONCLUSIONS The findings suggest that in NPH, the ascending slope of the CaBV pulse had a slower rise, was more like a straight line, and generally was less convex than in volunteers. Prospective research is required to verify the clinical utility of these findings.
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Affiliation(s)
- Arkadiusz Ziółkowski
- Department of Biomedical Engineering, Faculty of Fundamental Problems of Technology, Wrocław University of Science and Technology, Wrocław, Poland.
| | - Magdalena Kasprowicz
- Department of Biomedical Engineering, Faculty of Fundamental Problems of Technology, Wrocław University of Science and Technology, Wrocław, Poland
| | - Marek Czosnyka
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
- Institute of Electronic Systems, Faculty of Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland
| | - Zofia Czosnyka
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
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Petrella G, Ciarlo S, Elia S, Piaz RD, Nucera P, Pompucci A, Palmieri M, Pesce A. Idiopathic Normal Pressure Hydrocephalus: The Real Social and Economic Burden of a Possibly Enormous Underdiagnosis Problem. Tomography 2023; 9:2006-2015. [PMID: 37987343 PMCID: PMC10661316 DOI: 10.3390/tomography9060157] [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: 09/08/2023] [Revised: 10/20/2023] [Accepted: 10/23/2023] [Indexed: 11/22/2023] Open
Abstract
Normal Pressure Hydrocephalus (iNPH) typically affects the elderly and can cause cognitive decline, resulting in its differential diagnosis with other neurodegenerative conditions. Moreover, it is probably underdiagnosed; such under- and misdiagnosis prevents the patient from receiving the right treatment and significantly affects the quality of life and life expectancy. This investigation is an in-depth analysis of the actual incidence of iNPH in the population of the province served by our hospital (circa 580,000 individuals). The first phase of this study was conducted by visualizing a total of 1232 brain CT scans performed in the Emergency Departments of the four hospitals of our network on patients who were admitted for different complaints yet screened as suspicious for iNPH. Subsequently, corresponding Emergency Department medical records were investigated to understand the medical history of each patient in search of elements attributable to an alteration of CSF dynamics. The cohort of positive CT scans, according to the radiological and clinical inclusion criteria, included 192 patients. Among the reasons to require acute medical care, "Fall" was the most common. The cumulative incidence of CT scans suggestive of iNPH among the patients undergoing CT scans was as high as 15.58%, and the period prevalence calculated for the total amount of patients accessing the Emergency Departments was 1.084%. The real incidence of iNPH in the population may be underestimated, and the social burden linked to the assistance of patients suffering from such untreated conditions could be significantly relieved.
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Affiliation(s)
- Gianpaolo Petrella
- Neurosurgery Division, A.O. “Santa Maria Goretti” General Hospital, Via Guido Reni 1, 04100 Latina, Italy; (G.P.); (S.C.); (S.E.); (A.P.)
| | - Silvia Ciarlo
- Neurosurgery Division, A.O. “Santa Maria Goretti” General Hospital, Via Guido Reni 1, 04100 Latina, Italy; (G.P.); (S.C.); (S.E.); (A.P.)
| | - Stefania Elia
- Neurosurgery Division, A.O. “Santa Maria Goretti” General Hospital, Via Guido Reni 1, 04100 Latina, Italy; (G.P.); (S.C.); (S.E.); (A.P.)
| | - Rita Dal Piaz
- Emergency Department, A.O. “Santa Maria Goretti” General Hospital, Via Guido Reni 1, 04100 Latina, Italy;
| | - Paolo Nucera
- Emergency Department, A.O. “Dono Svizzero” General Hospital, Via Appia Lato Napoli, 04023 Formia, Italy;
| | - Angelo Pompucci
- Neurosurgery Division, A.O. “Santa Maria Goretti” General Hospital, Via Guido Reni 1, 04100 Latina, Italy; (G.P.); (S.C.); (S.E.); (A.P.)
| | - Mauro Palmieri
- Department of Human Neurosciences, Neurosurgery Division, Università “La Sapienza” di Roma, Viale del Policlinico 155, 00161 Roma, Italy;
| | - Alessandro Pesce
- Neurosurgery Division, A.O. “Santa Maria Goretti” General Hospital, Via Guido Reni 1, 04100 Latina, Italy; (G.P.); (S.C.); (S.E.); (A.P.)
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Pyrgelis ES, Velonakis G, Papageorgiou SG, Stefanis L, Kapaki E, Constantinides VC. Imaging Markers for Normal Pressure Hydrocephalus: An Overview. Biomedicines 2023; 11:biomedicines11051265. [PMID: 37238936 DOI: 10.3390/biomedicines11051265] [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: 03/28/2023] [Revised: 04/18/2023] [Accepted: 04/21/2023] [Indexed: 05/28/2023] Open
Abstract
Idiopathic bormal pressure hydrocephalus (iNPH) is a neurological syndrome that clinically presents with Hakim's triad, namely cognitive impairment, gait disturbances, and urinary incontinence. The fact that iNPH is potentially reversible makes its accurate and early diagnosis of paramount importance. Its main imaging characteristic is the dilation of the brain's ventricular system and the imaging parameters are also included in its diagnostic criteria along with clinical data. There is a variety of different modalities used and a great number of imaging markers that have been described while assessing iNPH patients. The present literature review attempts to describe the most important of these imaging markers and to shed some light on their role in diagnosis, differential diagnosis, and possibly prognosis of this potentially reversible neurological syndrome.
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Affiliation(s)
- Efstratios-Stylianos Pyrgelis
- 1st Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, Vass. Sophias Ave. 74, 11528 Athens, Greece
- Neurochemistry and Biological Markers Unit, 1st Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, Vass. Sophias Ave. 74, 11528 Athens, Greece
| | - Georgios Velonakis
- Research Unit of Radiology, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, "Attikon" University General Hospital, Rimini 1, Chaidari, 12462 Athens, Greece
| | - Sokratis G Papageorgiou
- 1st Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, Vass. Sophias Ave. 74, 11528 Athens, Greece
| | - Leonidas Stefanis
- 1st Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, Vass. Sophias Ave. 74, 11528 Athens, Greece
| | - Elisabeth Kapaki
- 1st Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, Vass. Sophias Ave. 74, 11528 Athens, Greece
- Neurochemistry and Biological Markers Unit, 1st Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, Vass. Sophias Ave. 74, 11528 Athens, Greece
| | - Vasilios C Constantinides
- 1st Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, Vass. Sophias Ave. 74, 11528 Athens, Greece
- Neurochemistry and Biological Markers Unit, 1st Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, Vass. Sophias Ave. 74, 11528 Athens, Greece
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Chen CH, Cheng YC, Huang CY, Chen HC, Chen WH, Chai JW. Accuracy of MRI derived cerebral aqueduct flow parameters in the diagnosis of idiopathic normal pressure hydrocephalus. J Clin Neurosci 2022; 105:9-15. [PMID: 36049363 DOI: 10.1016/j.jocn.2022.08.018] [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: 05/06/2022] [Revised: 08/18/2022] [Accepted: 08/22/2022] [Indexed: 10/31/2022]
Abstract
Idiopathic normal pressure hydrocephalus (iNPH) is a potentially reversible cause of dementia-like symptoms among the elderly. Current diagnostic guidelines for iNPH rely on clinical manifestations and ventricular morphology, which often lack accuracy. While magnetic resonance imaging (MRI) CSF flowmetry of the cerebral aqueduct provides a noninvasive aid to differential diagnosis, previous studies suffered from small sample sizes. This study compares the accuracy of different CSF flow parameters for iNPH diagnosis in a general patient population. From 2016 to 2018, a total of 216 subjects over 60 years of age were retrospectively enrolled, including 38 patients with iNPH and 178 patients with non-iNPH neurological conditions. All participants received phase-contrast MRI (PC-MRI) CSF flowmetry, with measurements performed independently by two radiologists. Flow parameters of iNPH and non-iNPH groups were compared along with their diagnostic accuracy. Absolute stroke volume (ABSV), forward flow, backward flow, mean flux and peak velocity were significantly higher in iNPH patients (P < 0.001, P < 0.001, P < 0.001, P = 0.008, P = 0.038, respectively). Backward flow had the highest diagnostic accuracy, followed by ABSV and forward flow. Net caudocranial aqueductal flow was observed in both groups, but with greater volume in the iNPH group. PC-MRI provides a non-invasive method of CSF flowmetry across the cerebral aqueduct and may aid in iNPH diagnosis. ABSV and its component flow values may provide better accuracy in identifying iNPH than other parameters.
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Affiliation(s)
- Chia-Hsin Chen
- Department of Radiology, Taichung Veterans General Hospital, 1650 Sect. 4 Taiwan, Boulevard, Taichung 40705, Taiwan, ROC
| | - Yun-Chung Cheng
- Department of Radiology, Taichung Veterans General Hospital, 1650 Sect. 4 Taiwan, Boulevard, Taichung 40705, Taiwan, ROC; Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung 407224, Taiwan, ROC.
| | - Chin-Yin Huang
- Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung 407224, Taiwan, ROC
| | - Hung-Chieh Chen
- Department of Radiology, Taichung Veterans General Hospital, 1650 Sect. 4 Taiwan, Boulevard, Taichung 40705, Taiwan, ROC; School of Medicine, National Yang-Ming Chiao-Tung University, Taipei, Taiwan, ROC
| | - Wen-Hsien Chen
- Department of Radiology, Taichung Veterans General Hospital, 1650 Sect. 4 Taiwan, Boulevard, Taichung 40705, Taiwan, ROC
| | - Jyh-Wen Chai
- Department of Radiology, Taichung Veterans General Hospital, 1650 Sect. 4 Taiwan, Boulevard, Taichung 40705, Taiwan, ROC
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Trovatelli M, Spediacci C, Castellano A, Bernardini A, Dini D, Malfassi L, Pieri V, Falini A, Ravasio G, Riva M, Bello L, Brizzola S, Zani DD. Morphometric study of the ventricular indexes in healthy ovine BRAIN using MRI. BMC Vet Res 2022; 18:97. [PMID: 35277171 PMCID: PMC8915498 DOI: 10.1186/s12917-022-03180-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 02/21/2022] [Indexed: 11/19/2022] Open
Abstract
Background Sheep (Ovis aries) have been largely used as animal models in a multitude of specialties in biomedical research. The similarity to human brain anatomy in terms of brain size, skull features, and gyrification index, gives to ovine as a large animal model a better translational value than small animal models in neuroscience. Despite this evidence and the availability of advanced imaging techniques, morphometric brain studies are lacking. We herein present the morphometric ovine brain indexes and anatomical measures developed by two observers in a double-blinded study and validated via an intra- and inter-observer analysis. Results For this retrospective study, T1-weighted Magnetic Resonance Imaging (MRI) scans were performed at 1.5 T on 15 sheep, under general anaesthesia. The animals were female Ovis aries, in the age of 18-24 months. Two observers assessed the scans, twice time each. The statistical analysis of intra-observer and inter-observer agreement was obtained via the Bland-Altman plot and Spearman rank correlation test. The results are as follows (mean ± Standard deviation): Indexes: Bifrontal 0,338 ± 0,032 cm; Bicaudate 0,080 ± 0,012 cm; Evans’ 0,218 ± 0,035 cm; Ventricular 0,241 ± 0,039 cm; Huckman 1693 ± 0,174 cm; Cella Media 0,096 ± 0,037 cm; Third ventricle ratio 0,040 ± 0,007 cm. Anatomical measures: Fourth ventricle length 0,295 ± 0,073 cm; Fourth ventricle width 0,344 ± 0,074 cm; Left lateral ventricle 4175 ± 0,275 cm; Right lateral ventricle 4182 ± 0,269 cm; Frontal horn length 1795 ± 0,303 cm; Interventricular foramen left 1794 ± 0,301 cm; Interventricular foramen right 1,78 ± 0,317 cm. Conclusions The present study provides baseline values of linear indexes of the ventricles in the ovine models. The acquisition of these data contributes to filling the knowledge void on important anatomical and morphological features of the sheep brain.
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11
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Davis A, Gulyani S, Manthripragada L, Luciano M, Moghekar A, Yasar S. Evaluation of the effect comorbid Parkinson syndrome on normal pressure hydrocephalus assessment. Clin Neurol Neurosurg 2021; 207:106810. [PMID: 34280677 DOI: 10.1016/j.clineuro.2021.106810] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 07/06/2021] [Accepted: 07/06/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE The primary aim of the study was to assess the effect comorbid Parkinson syndromes have on results of CSF tap test (TT) and shunt outcomes for patients presenting with Normal Pressure Hydrocephalus (NPH). We hypothesized that patients with possible NPH and comorbid Parkinson syndromes with Positive DaT scans will not respond to CSF TT at the same rate as patients without comorbid Parkinson syndromes. Additionally, we followed a small number of patients with positive DaT scans who were shunted to assess long term outcome of comorbid Parkinson syndromes. METHODS Medical records and neurological exams of 251 patients were reviewed. In our analysis 101 patients with no parkinsonian symptoms and no DaT scans were included as a control group, there were 52 patients with DaT scans, 31 patients were positive (DaT-P). Gait measures were assessed before and after CSF TT using the Wilcoxon matched-pairs signed-rank test or paired t-tests were used. To compare the effect of DaT-P and Control, we used an ANCOVA controlling for age, sex, assistive device used, and past medical history effecting gait. RESULTS There was not a significant difference in response between Control and DaT-P group. The Control group improved on timed up and go (TUG) by 14.82%, DualTUG 16.35%, 10-meter Walk Test (10MWT) 18.13%, MiniBEST 15.91%, and 6-minute Walk Test (6MWT) 13.96%, while the DaT-P group improved on TUG by 14.93%, DualTUG 17.24%, 10MWT 22.68%, MiniBEST 18.07%, and 6MWT 16.06%. CONCLUSION Our findings suggest that patients with possible NPH and suspected comorbid movement disorder, showed similar improvement after diagnostic CSF TT compared to participants with no parkinsonian symptoms present on exam. DATA AVAILABILITY STATEMENT Data relevant to the study will be made available from the corresponding author upon a reasonable request.
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Affiliation(s)
- Alexander Davis
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Seema Gulyani
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Lacie Manthripragada
- Lacie Manthripragada, Advent Health Pediatric Neurosurgery, Orlando, FL, USA; Department of Neurosurgery, Johns Hopkins University Baltimore, MD, USA
| | - Mark Luciano
- Department of Neurosurgery, Johns Hopkins University Baltimore, MD, USA
| | - Abhay Moghekar
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sevil Yasar
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Kim M, Park SW, Lee JY, Kim H, Rhim JH, Park S, Lee JY, Son H, Kim YK, Lee SH. Differences in Brain Morphology between Hydrocephalus Ex Vacuo and Idiopathic Normal Pressure Hydrocephalus. Psychiatry Investig 2021; 18:628-635. [PMID: 34265199 PMCID: PMC8328827 DOI: 10.30773/pi.2020.0352] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 04/10/2021] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVE The distinction between idiopathic normal pressure hydrocephalus (iNPH) and hydrocephalus ex vacuo caused by encephalic volume loss remains to be established. This study aims to investigate radiological parameters as clinically useful tools to discriminate iNPH from hydrocephalus ex vacuo caused by Alzheimer's disease (AD). METHODS A total of 54 patients with ventriculomegaly (iNPH, 25; hydrocephalus ex vacuo, 29) were recruited in this study. Consequently, nine radiological parameters were compared between iNPH and hydrocephalus ex vacuo using magnetic resonance imaging (MRI). RESULTS A small callosal angle (CA), the Sylvian fissure dilatation, and absence of narrowing of superior parietal sulci discriminated the iNPH group from the hydrocephalus ex vacuo group (p<0.05). The final binary logistic regression model included narrowing of superior parietal sulci, degrees of the CA, and height of the Sylvian fissure after controlling for age and global Clinical Dementia Rating (CDR). The composite score made from these three indicators (narrowing of superior parietal sulci, degrees of the CA, and height of the Sylvian fissure) was statistically different between iNPH and hydrocephalus ex vacuo. CONCLUSION The narrowing of the CA, dilatation of the Sylvain fissure, and narrowing of superior parietal sulci may be used as radiological key indices and noninvasive tools for the differential diagnosis of iNPH from hydrocephalus ex vacuo.
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Affiliation(s)
- Minkyung Kim
- Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sun-Won Park
- Department of Radiology, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jun-Young Lee
- Department of Psychiatry, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Hongrae Kim
- Department of Psychiatry, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Jung Hyo Rhim
- Department of Radiology, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Soowon Park
- Department of Teacher Education, College of Liberal Arts and Interdisciplinary Studies, Kyonggi University, Suwon, Republic of Korea
| | - Jee-Young Lee
- Department of Neurology, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Hwancheol Son
- Department of Urology, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Yu Kyeong Kim
- Department of Nuclear Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Sang Hyung Lee
- Department of Neurosurgery, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
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Ryska P, Slezak O, Eklund A, Salzer J, Malm J, Zizka J. Variability of Normal Pressure Hydrocephalus Imaging Biomarkers with Respect to Section Plane Angulation: How Wrong a Radiologist Can Be? AJNR Am J Neuroradiol 2021; 42:1201-1207. [PMID: 33888457 DOI: 10.3174/ajnr.a7095] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 01/13/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Systematic analysis of angulation-related variability of idiopathic normal pressure hydrocephalus imaging biomarkers has not been published yet. Our aim was to evaluate the variability of these radiologic biomarkers with respect to imaging plane angulation. MATERIALS AND METHODS Eighty subjects (35 with clinically confirmed idiopathic normal pressure hydrocephalus and 45 age- and sex-matched healthy controls) were prospectively enrolled in a 3T brain MR imaging study. Two independent readers assessed 12 radiologic idiopathic normal pressure hydrocephalus biomarkers on sections aligned parallel or perpendicular to the bicallosal, bicommissural, hypophysis-fastigium, and brain stem vertical lines, respectively. RESULTS Disproportionately enlarged subarachnoid space hydrocephalus, simplified callosal angle, frontal horn diameter, z-Evans Index, and cella media vertical width did not show significant systematic differences in any of 6 section plane combinations studied. The remaining 7 biomarkers (including the Evans Index and callosal angle) showed significant differences in up to 4 of 6 mutually compared section plane combinations. The values obtained from sections aligned with the brain stem vertical line (parallel to the posterior brain stem margin) showed the most deviating results from other section angulations. CONCLUSIONS Seven of 12 idiopathic normal pressure hydrocephalus biomarkers including the frequently used Evans Index and callosal angle showed statistically significant deviations when measured on sections whose angulations differed or did not comply with the proper section definition published in the original literature. Strict adherence to the methodology of idiopathic normal pressure hydrocephalus biomarker assessment is, therefore, essential to avoid an incorrect diagnosis. Increased radiologic and clinical attention should be paid to the biomarkers showing low angulation-related variability yet high specificity for idiopathic normal pressure hydrocephalus-related morphologic changes such as the z-Evans Index, frontal horn diameter, or disproportionately enlarged subarachnoid space hydrocephalus.
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Affiliation(s)
- P Ryska
- From the Department of Diagnostic Radiology (P.R., O.S.), University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - O Slezak
- From the Department of Diagnostic Radiology (P.R., O.S.), University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
- Department of Diagnostic Radiology (O.S.), Charles University, Faculty of Medicine in Hradec Kralove and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - A Eklund
- Departments of Radiation Sciences (A.E.)
| | - J Salzer
- Pharmacology and Clinical Neuroscience (J.S., J.M.), Section of Neurology
| | - J Malm
- Pharmacology and Clinical Neuroscience (J.S., J.M.), Section of Neurology
| | - J Zizka
- Imaging and Functional Medicine (J.Z.), University Hospital of Umeå, Umeå, Sweden
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14
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Lalou AD, Czosnyka M, Placek MM, Smielewski P, Nabbanja E, Czosnyka Z. CSF Dynamics for Shunt Prognostication and Revision in Normal Pressure Hydrocephalus. J Clin Med 2021; 10:jcm10081711. [PMID: 33921142 PMCID: PMC8071572 DOI: 10.3390/jcm10081711] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 04/09/2021] [Accepted: 04/12/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Despite the quantitative information derived from testing of the CSF circulation, there is still no consensus on what the best approach could be in defining criteria for shunting and predicting response to CSF diversion in normal pressure hydrocephalus (NPH). OBJECTIVE We aimed to review the lessons learned from assessment of CSF dynamics in our center and summarize our findings to date. We have focused on reporting the objective perspective of CSF dynamics testing, without further inferences to individual patient management. DISCUSSION No single parameter from the CSF infusion study has so far been able to serve as an unquestionable outcome predictor. Resistance to CSF outflow (Rout) is an important biological marker of CSF circulation. It should not, however, be used as a single predictor for improvement after shunting. Testing of CSF dynamics provides information on hydrodynamic properties of the cerebrospinal compartment: the system which is being modified by a shunt. Our experience of nearly 30 years of studying CSF dynamics in patients requiring shunting and/or shunt revision, combined with all the recent progress made in producing evidence on the clinical utility of CSF dynamics, has led to reconsidering the relationship between CSF circulation testing and clinical improvement. CONCLUSIONS Despite many open questions and limitations, testing of CSF dynamics provides unique perspectives for the clinician. We have found value in understanding shunt function and potentially shunt response through shunt testing in vivo. In the absence of infusion tests, further methods that provide a clear description of the pre and post-shunting CSF circulation, and potentially cerebral blood flow, should be developed and adapted to the bed-space.
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Affiliation(s)
- Afroditi Despina Lalou
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK; (M.C.); (M.M.P.); (P.S.); (E.N.); (Z.C.)
- Correspondence: ; Tel.: +44-774-3567-585
| | - Marek Czosnyka
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK; (M.C.); (M.M.P.); (P.S.); (E.N.); (Z.C.)
- Institute of Electronic Systems, Faculty of Electronics and Information Sciences, Warsaw University of Technology, 00-661 Warsaw, Poland
| | - Michal M. Placek
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK; (M.C.); (M.M.P.); (P.S.); (E.N.); (Z.C.)
| | - Peter Smielewski
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK; (M.C.); (M.M.P.); (P.S.); (E.N.); (Z.C.)
| | - Eva Nabbanja
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK; (M.C.); (M.M.P.); (P.S.); (E.N.); (Z.C.)
| | - Zofia Czosnyka
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK; (M.C.); (M.M.P.); (P.S.); (E.N.); (Z.C.)
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Park HY, Kim M, Suh CH, Lee DH, Shim WH, Kim SJ. Diagnostic performance and interobserver agreement of the callosal angle and Evans' index in idiopathic normal pressure hydrocephalus: a systematic review and meta-analysis. Eur Radiol 2021; 31:5300-5311. [PMID: 33409775 DOI: 10.1007/s00330-020-07555-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Revised: 10/04/2020] [Accepted: 11/19/2020] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To evaluate the diagnostic performance and interobserver agreement of the callosal angle and Evans' index in idiopathic normal pressure hydrocephalus (iNPH). METHODS A systematic search of MEDLINE and EMBASE was performed to find studies assessing the diagnostic performance or interobserver agreement of the callosal angle and Evans' index in iNPH. Pooled sensitivity and specificity of the two radiologic indices were calculated. The area under the curve (AUC) was obtained based on a hierarchical summary receiver operating characteristic curve. The diagnostic performances of both radiologic indices were compared in subgroup analysis. To evaluate interobserver agreement, the pooled correlation coefficient was calculated. RESULTS Ten original articles (874 patients) were included. The pooled sensitivity and specificity of the callosal angle in the diagnosis of iNPH were 91% (95% CI, 86-94%) and 93% (95% CI, 89-96%), respectively. The pooled sensitivity and specificity of Evans' index were 96% (95% CI, 47-100%) and 83% (95% CI, 77-88%), respectively. Subgroup analysis demonstrated a significant higher specificity of the callosal angle than that of Evans' index (p < 0.01). The AUC of the callosal angle and Evans' index were 0.97 (95% CI, 0.95-0.98) and 0.87 (95% CI, 0.84-0.90), respectively. The pooled correlation coefficients for the callosal angle and Evans' index were 0.92 (95% CI, 0.82-0.96) and 0.92 (95% CI, 0.83-0.97), respectively. CONCLUSIONS Our meta-analysis demonstrated a high performance of the callosal angle in the diagnosis of iNPH. Evans' index showed reasonable diagnostic performance with high sensitivity but low specificity. Interobserver agreements were excellent in both radiologic indices. KEY POINTS • Callosal angle showed high diagnostic performance in idiopathic normal pressure hydrocephalus. • Evans' index showed reasonable diagnostic performance with high sensitivity but low specificity. • Interobserver agreements were excellent in both callosal angle and Evans' index.
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Affiliation(s)
- Ho Young Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Olympic-ro 33, Seoul, 05505, Republic of Korea
| | - Minjae Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Olympic-ro 33, Seoul, 05505, Republic of Korea
| | - Chong Hyun Suh
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Olympic-ro 33, Seoul, 05505, Republic of Korea.
| | - Da Hyun Lee
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Olympic-ro 33, Seoul, 05505, Republic of Korea
| | - Woo Hyun Shim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Olympic-ro 33, Seoul, 05505, Republic of Korea
| | - Sang Joon Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Olympic-ro 33, Seoul, 05505, Republic of Korea
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