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Scaravilli A, Negroni D, Senatore C, Ugga L, Cosottini M, Ricca I, Bender B, Traschütz A, Başak AN, Vural A, van de Warrenburg BP, Durr A, La Piana R, Timmann D, Schüle R, Synofzik M, Santorelli FM, Cocozza S. MRI-ARSACS: An Imaging Index for Autosomal Recessive Spastic Ataxia of Charlevoix-Saguenay (ARSACS) Identification Based on the Multicenter PROSPAX Study. Mov Disord 2024; 39:1343-1351. [PMID: 38847051 DOI: 10.1002/mds.29871] [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: 02/13/2024] [Revised: 04/22/2024] [Accepted: 05/13/2024] [Indexed: 08/23/2024] Open
Abstract
BACKGROUND Autosomal recessive spastic ataxia of Charlevoix-Saguenay (ARSACS) and hereditary spastic paraplegia type 7 (SPG7) represent the most common genotypes of spastic ataxia (SPAX). To date, their magnetic resonance imaging (MRI) features have only been described qualitatively, and a pure neuroradiological differential diagnosis between these two conditions is difficult to achieve. OBJECTIVES To test the performance of MRI measures to discriminate between ARSACS and SPG7 (as an index of common SPAX disease). METHODS In this prospective multicenter study, 3D-T1-weighted images of 59 ARSACS (35.4 ± 10.3 years, M/F = 33/26) and 78 SPG7 (54.8 ± 10.3 years, M/F = 51/27) patients of the PROSPAX Consortium were analyzed, together with 30 controls (45.9 ± 16.9 years, M/F = 15/15). Different linear and surface measures were evaluated. A receiver operating characteristic analysis was performed, calculating area under the curve (AUC) and corresponding diagnostic accuracy parameters. RESULTS The pons area proved to be the only metric increased exclusively in ARSACS patients (P = 0.02). Other different measures were reduced in ARSACS and SPG7 compared with controls (all with P ≤ 0.005). A cut-off value equal to 1.67 of the pons-to-superior vermis area ratio proved to have the highest AUC (0.98, diagnostic accuracy 93%, sensitivity 97%) in discriminating between ARSACS and SPG7. CONCLUSIONS Evaluation of the pons-to-superior vermis area ratio can discriminate ARSACS from other SPAX patients, as exemplified here by SPG7. Hence, we hereby propose this ratio as the Magnetic Resonance Index for the Assessment and Recognition of patients harboring SACS mutations (MRI-ARSACS), a novel diagnostic tool able to identify ARSACS patients and useful for discriminating ARSACS from other SPAX patients undergoing MRI. © 2024 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Alessandra Scaravilli
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Davide Negroni
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Claudio Senatore
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Lorenzo Ugga
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Mirco Cosottini
- Department of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Ivana Ricca
- Department of Molecular Medicine, IRCCS Stella Maris Foundation, Pisa, Italy
| | - Benjamin Bender
- Department of Diagnostic and Interventional Neuroradiology, University of Tübingen, Germany
| | - Andreas Traschütz
- Division Translational Genomics of Neurodegenerative Diseases, Center for Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Ayşe Nazli Başak
- Translational Medicine Research Center, KUTTAM-NDAL, Koç University, Istanbul, Turkey
| | - Atay Vural
- Department of Neurology, Koç University, Istanbul, Turkey
| | - Bart P van de Warrenburg
- Department of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Alexandra Durr
- ICM, Inserm, CNRS, AP-HP, Paris Brain Institute, Sorbonne University, Paris, France
| | - Roberta La Piana
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
- Department of Diagnostic Radiology, McGill University, Montreal, Quebec, Canada
| | - Dagmar Timmann
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, Essen, Germany
| | - Rebecca Schüle
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Division of Neurodegenerative Diseases, Department of Neurology, Heidelberg University Hospital and Faculty of Medicine, Heidelberg, Germany
- Center for Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Matthis Synofzik
- Division Translational Genomics of Neurodegenerative Diseases, Center for Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | | | - Sirio Cocozza
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
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Takenoshita S, Terada S, Kojima K, Nishikawa N, Miki T, Yokota O, Fujiwara M, Takaki M. Potential dopaminergic deficit in patients with geriatric psychiatric disorders as revealed by DAT-SPECT: a cross-sectional study. BMJ MENTAL HEALTH 2024; 27:e301042. [PMID: 39079888 PMCID: PMC11293386 DOI: 10.1136/bmjment-2024-301042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 06/05/2024] [Indexed: 08/03/2024]
Abstract
BACKGROUND It has been reported that patients with geriatric psychiatric disorders include many cases of the prodromal stages of neurodegenerative diseases. Abnormal 123I-2β-carbomethoxy-3β-(4-iodophenyl)-N-(3-fluoropropyl) nortropane dopamine transporter single-photon emission computed tomography (DAT-SPECT) reveals a nigrostriatal dopaminergic deficit and is considered useful to detect dementia with Lewy bodies and Parkinson's disease as well as progressive supranuclear palsy and corticobasal degeneration. We aimed to determine the proportion of cases that are abnormal on DAT-SPECT in patients with geriatric psychiatric disorders and to identify their clinical profile. METHODS The design is a cross-sectional study. Clinical findings of 61 inpatients aged 60 years or older who underwent DAT-SPECT and had been diagnosed with psychiatric disorders, but not neurodegenerative disease or dementia were analysed. RESULTS 36 of 61 (59%) had abnormal results on DAT-SPECT. 54 of 61 patients who had DAT-SPECT (89%) had undergone 123I-metaiodobenzylguanidine myocardial scintigraphy (123I-MIBG scintigraphy); 12 of the 54 patients (22.2%) had abnormal findings on 123I-MIBG scintigraphy. There were no cases that were normal on DAT-SPECT and abnormal on 123I-MIBG scintigraphy. DAT-SPECT abnormalities were more frequent in patients with late-onset (55 years and older) psychiatric disorders (69.0%) and depressive disorder (75.7%), especially late-onset depressive disorder (79.3%). CONCLUSION Patients with geriatric psychiatric disorders include many cases showing abnormalities on DAT-SPECT. It is suggested that these cases are at high risk of developing neurodegenerative diseases characterised by a dopaminergic deficit. It is possible that patients with geriatric psychiatric disorders with abnormal findings on DAT-SPECT tend to show abnormalities on DAT-SPECT first rather than on 123I-MIBG scintigraphy.
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Affiliation(s)
| | - Seishi Terada
- Department of Neuropsychiatry, Okayama University Faculty of Medicine Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Katsuhide Kojima
- Department of Radiology, Okayama University Hospital, Okayama, Japan
| | - Naoto Nishikawa
- Department of Neuropsychiatry, Okayama University Hospital, Okayama, Japan
| | - Tomoko Miki
- Department of Neuropsychiatry, Okayama University Hospital, Okayama, Japan
| | - Osamu Yokota
- Department of Neuropsychiatry, Okayama University Faculty of Medicine Dentistry and Pharmaceutical Sciences, Okayama, Japan
- Department of Psychiatry, Kinoko Espoir Hospital, Kasaoka, Okayama, Japan
| | - Masaki Fujiwara
- Department of Neuropsychiatry, Okayama University Hospital, Okayama, Japan
| | - Manabu Takaki
- Department of Neuropsychiatry, Okayama University Faculty of Medicine Dentistry and Pharmaceutical Sciences, Okayama, Japan
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Kaneko Y, Furui E, Isono H. Progressive Supranuclear Palsy Diagnosed After a Severe Fall Trauma in a Patient Who Experienced Episodes of Easy Falling. Cureus 2024; 16:e59643. [PMID: 38832160 PMCID: PMC11146658 DOI: 10.7759/cureus.59643] [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] [Accepted: 05/04/2024] [Indexed: 06/05/2024] Open
Abstract
Progressive supranuclear palsy (PSP) is characterized by parkinsonism, downward gaze disorder, and a tendency to fall due to degeneration of the basal ganglia, the brain stem, and the cerebellum. We report a case of PSP that was diagnosed following a traumatic hemopneumothorax caused by a fall while descending stairs. A 79-year-old man experienced lightheadedness and frequent falls for two years. He fell on stairs at home and was transferred to our hospital due to mobility issues. He was hospitalized and treated for traumatic hemopneumothorax. Neurological examination revealed vertical ocular motility disorder, positive Myerson's sign, increased muscle stiffness, and increased limb tendon reflexes. Brain MRI showed a hummingbird sign. In this case, a midbrain area of 58.1 mm2 was consistent with PSP. He had no medication history that could have caused falls. He was diagnosed with PSP based on clinical and imaging findings, and treatment with levodopa was initiated. Two months later, walking showed limited improvement, and living at home became difficult. He was discharged to a care facility. PSP is a risk factor for frequent falls in the elderly. PSP usually requires three to four years for diagnosis, although falls appear earlier than in other forms of degenerative parkinsonism. Additionally, PSP often results in repeated dynamic falls due to a decreased perception of danger associated with reduced frontal lobe function. As a result, the severity of trauma from falls in PSP tends to be higher than in other neurodegenerative diseases. Therefore, early diagnosis of PSP may help improve patients' quality of life and prevent trauma. Despite frequent falls over two years, the cause was not thoroughly investigated until the patient experienced severe trauma. The lesson from this case is the importance of a thorough neurological examination and sagittal MRI for elderly patients experiencing repeated falls, to consider the possibility of PSP. Furthermore, quantitative evaluation of MRI enhances the diagnostic accuracy of PSP.
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Affiliation(s)
- Yuji Kaneko
- Medicine, Hokkaido University School, Hokkaido, JPN
| | | | - Hiroki Isono
- General Medicine, HITO Medical Center, Ehime, JPN
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Nigro S, Filardi M, Tafuri B, Nicolardi M, De Blasi R, Giugno A, Gnoni V, Milella G, Urso D, Zoccolella S, Logroscino G. Deep Learning-based Approach for Brainstem and Ventricular MR Planimetry: Application in Patients with Progressive Supranuclear Palsy. Radiol Artif Intell 2024; 6:e230151. [PMID: 38506619 PMCID: PMC11140505 DOI: 10.1148/ryai.230151] [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: 05/05/2023] [Revised: 02/01/2024] [Accepted: 03/06/2024] [Indexed: 03/21/2024]
Abstract
Purpose To develop a fast and fully automated deep learning (DL)-based method for the MRI planimetric segmentation and measurement of the brainstem and ventricular structures most affected in patients with progressive supranuclear palsy (PSP). Materials and Methods In this retrospective study, T1-weighted MR images in healthy controls (n = 84) were used to train DL models for segmenting the midbrain, pons, middle cerebellar peduncle (MCP), superior cerebellar peduncle (SCP), third ventricle, and frontal horns (FHs). Internal, external, and clinical test datasets (n = 305) were used to assess segmentation model reliability. DL masks from test datasets were used to automatically extract midbrain and pons areas and the width of MCP, SCP, third ventricle, and FHs. Automated measurements were compared with those manually performed by an expert radiologist. Finally, these measures were combined to calculate the midbrain to pons area ratio, MR parkinsonism index (MRPI), and MRPI 2.0, which were used to differentiate patients with PSP (n = 71) from those with Parkinson disease (PD) (n = 129). Results Dice coefficients above 0.85 were found for all brain regions when comparing manual and DL-based segmentations. A strong correlation was observed between automated and manual measurements (Spearman ρ > 0.80, P < .001). DL-based measurements showed excellent performance in differentiating patients with PSP from those with PD, with an area under the receiver operating characteristic curve above 0.92. Conclusion The automated approach successfully segmented and measured the brainstem and ventricular structures. DL-based models may represent a useful approach to support the diagnosis of PSP and potentially other conditions associated with brainstem and ventricular alterations. Keywords: MR Imaging, Brain/Brain Stem, Segmentation, Quantification, Diagnosis, Convolutional Neural Network Supplemental material is available for this article. © RSNA, 2024 See also the commentary by Mohajer in this issue.
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Affiliation(s)
- Salvatore Nigro
- From the Center for Neurodegenerative Diseases and the Aging Brain, University of Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, 73039 Tricase, Italy (S.N., M.F., B.T., A.G., V.G., D.U., G.L.); Department of Translational Biomedicine and Neuroscience (DiBraiN), University of Bari Aldo Moro, Bari, Italy (M.F., B.T., G.M., G.L.); Department of Radiology, Pia Fondazione Cardinale G. Panico, Tricase, Italy (M.N., R.D.B.); Department of Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England (D.U.); and Operative Unit of Neurology, San Paolo Hospital, ASL Bari, Bari, Italy (S.Z.)
| | - Marco Filardi
- From the Center for Neurodegenerative Diseases and the Aging Brain, University of Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, 73039 Tricase, Italy (S.N., M.F., B.T., A.G., V.G., D.U., G.L.); Department of Translational Biomedicine and Neuroscience (DiBraiN), University of Bari Aldo Moro, Bari, Italy (M.F., B.T., G.M., G.L.); Department of Radiology, Pia Fondazione Cardinale G. Panico, Tricase, Italy (M.N., R.D.B.); Department of Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England (D.U.); and Operative Unit of Neurology, San Paolo Hospital, ASL Bari, Bari, Italy (S.Z.)
| | - Benedetta Tafuri
- From the Center for Neurodegenerative Diseases and the Aging Brain, University of Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, 73039 Tricase, Italy (S.N., M.F., B.T., A.G., V.G., D.U., G.L.); Department of Translational Biomedicine and Neuroscience (DiBraiN), University of Bari Aldo Moro, Bari, Italy (M.F., B.T., G.M., G.L.); Department of Radiology, Pia Fondazione Cardinale G. Panico, Tricase, Italy (M.N., R.D.B.); Department of Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England (D.U.); and Operative Unit of Neurology, San Paolo Hospital, ASL Bari, Bari, Italy (S.Z.)
| | - Martina Nicolardi
- From the Center for Neurodegenerative Diseases and the Aging Brain, University of Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, 73039 Tricase, Italy (S.N., M.F., B.T., A.G., V.G., D.U., G.L.); Department of Translational Biomedicine and Neuroscience (DiBraiN), University of Bari Aldo Moro, Bari, Italy (M.F., B.T., G.M., G.L.); Department of Radiology, Pia Fondazione Cardinale G. Panico, Tricase, Italy (M.N., R.D.B.); Department of Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England (D.U.); and Operative Unit of Neurology, San Paolo Hospital, ASL Bari, Bari, Italy (S.Z.)
| | - Roberto De Blasi
- From the Center for Neurodegenerative Diseases and the Aging Brain, University of Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, 73039 Tricase, Italy (S.N., M.F., B.T., A.G., V.G., D.U., G.L.); Department of Translational Biomedicine and Neuroscience (DiBraiN), University of Bari Aldo Moro, Bari, Italy (M.F., B.T., G.M., G.L.); Department of Radiology, Pia Fondazione Cardinale G. Panico, Tricase, Italy (M.N., R.D.B.); Department of Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England (D.U.); and Operative Unit of Neurology, San Paolo Hospital, ASL Bari, Bari, Italy (S.Z.)
| | - Alessia Giugno
- From the Center for Neurodegenerative Diseases and the Aging Brain, University of Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, 73039 Tricase, Italy (S.N., M.F., B.T., A.G., V.G., D.U., G.L.); Department of Translational Biomedicine and Neuroscience (DiBraiN), University of Bari Aldo Moro, Bari, Italy (M.F., B.T., G.M., G.L.); Department of Radiology, Pia Fondazione Cardinale G. Panico, Tricase, Italy (M.N., R.D.B.); Department of Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England (D.U.); and Operative Unit of Neurology, San Paolo Hospital, ASL Bari, Bari, Italy (S.Z.)
| | - Valentina Gnoni
- From the Center for Neurodegenerative Diseases and the Aging Brain, University of Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, 73039 Tricase, Italy (S.N., M.F., B.T., A.G., V.G., D.U., G.L.); Department of Translational Biomedicine and Neuroscience (DiBraiN), University of Bari Aldo Moro, Bari, Italy (M.F., B.T., G.M., G.L.); Department of Radiology, Pia Fondazione Cardinale G. Panico, Tricase, Italy (M.N., R.D.B.); Department of Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England (D.U.); and Operative Unit of Neurology, San Paolo Hospital, ASL Bari, Bari, Italy (S.Z.)
| | - Giammarco Milella
- From the Center for Neurodegenerative Diseases and the Aging Brain, University of Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, 73039 Tricase, Italy (S.N., M.F., B.T., A.G., V.G., D.U., G.L.); Department of Translational Biomedicine and Neuroscience (DiBraiN), University of Bari Aldo Moro, Bari, Italy (M.F., B.T., G.M., G.L.); Department of Radiology, Pia Fondazione Cardinale G. Panico, Tricase, Italy (M.N., R.D.B.); Department of Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England (D.U.); and Operative Unit of Neurology, San Paolo Hospital, ASL Bari, Bari, Italy (S.Z.)
| | - Daniele Urso
- From the Center for Neurodegenerative Diseases and the Aging Brain, University of Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, 73039 Tricase, Italy (S.N., M.F., B.T., A.G., V.G., D.U., G.L.); Department of Translational Biomedicine and Neuroscience (DiBraiN), University of Bari Aldo Moro, Bari, Italy (M.F., B.T., G.M., G.L.); Department of Radiology, Pia Fondazione Cardinale G. Panico, Tricase, Italy (M.N., R.D.B.); Department of Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England (D.U.); and Operative Unit of Neurology, San Paolo Hospital, ASL Bari, Bari, Italy (S.Z.)
| | - Stefano Zoccolella
- From the Center for Neurodegenerative Diseases and the Aging Brain, University of Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, 73039 Tricase, Italy (S.N., M.F., B.T., A.G., V.G., D.U., G.L.); Department of Translational Biomedicine and Neuroscience (DiBraiN), University of Bari Aldo Moro, Bari, Italy (M.F., B.T., G.M., G.L.); Department of Radiology, Pia Fondazione Cardinale G. Panico, Tricase, Italy (M.N., R.D.B.); Department of Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England (D.U.); and Operative Unit of Neurology, San Paolo Hospital, ASL Bari, Bari, Italy (S.Z.)
| | - Giancarlo Logroscino
- From the Center for Neurodegenerative Diseases and the Aging Brain, University of Bari Aldo Moro, Pia Fondazione Cardinale G. Panico, 73039 Tricase, Italy (S.N., M.F., B.T., A.G., V.G., D.U., G.L.); Department of Translational Biomedicine and Neuroscience (DiBraiN), University of Bari Aldo Moro, Bari, Italy (M.F., B.T., G.M., G.L.); Department of Radiology, Pia Fondazione Cardinale G. Panico, Tricase, Italy (M.N., R.D.B.); Department of Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England (D.U.); and Operative Unit of Neurology, San Paolo Hospital, ASL Bari, Bari, Italy (S.Z.)
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Koizumi R, Akagi A, Riku Y, Miyahara H, Sone J, Tanaka F, Yoshida M, Iwasaki Y. Correlation between clinical and neuropathological subtypes of progressive supranuclear palsy. Parkinsonism Relat Disord 2024:106076. [PMID: 38494398 DOI: 10.1016/j.parkreldis.2024.106076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 02/24/2024] [Accepted: 02/27/2024] [Indexed: 03/19/2024]
Abstract
INTRODUCTION Progressive supranuclear palsy (PSP) is characterized by pathology prominently in the basal ganglia, the tegmentum of the brainstem, and the frontal cortex. However, pathology varies according to clinical features. This study aimed to statistically verify the correspondence between the clinical and pathological subtypes of PSP. METHODS We identified patients with a pathological diagnosis of PSP and classified the eight clinical subtypes of the Movement Disorders Society criteria for the clinical diagnosis of PSP (MDS-PSP criteria) into the Richardson, Akinesia, and Cognitive groups. We used anti-phosphorylated tau antibody immunostaining to semi-quantitatively evaluate neurofibrillary tangles (NFTs) and coiled bodies/threads (CB/Ths) in the globus pallidus, subthalamic nucleus, and midbrain tegmentum. In the frontal cortex, tufted astrocytes (TAs) and CB/Ths were assessed on a 3-point scale. We compared the pathology among the three groups, recorded the phenotypes ranked the second and lower in the multiple allocation extinction rule and examined whether the pathology changed depending on applying each phenotype. RESULTS The Richardson group exhibited severe NFTs and CB/Ths in the midbrain tegmentum. The Akinesia group showed severe NFTs in the globus pallidus. The Cognitive group had severe TAs and CB/Ths in the frontal cortex. TAs and CB/Ths in the frontal cortex correspond to behavioral variant frontotemporal dementia, and supranuclear vertical oculomotor palsy. CONCLUSION These clinical symptoms may reflect the distribution of tau pathologies in PSP.
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Affiliation(s)
- Ryuichi Koizumi
- Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, 1-1 Yazako Karimata, Nagakute City, Aichi prefecture, 480-1103, Japan; Department of Neurology and Stroke Medicine, Graduate School of Medicine, Yokohama City University, 3-9 Fukura, Kanazawa Ward, Yokohama City, Kanagawa prefecture, 236-0004, Japan.
| | - Akio Akagi
- Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, 1-1 Yazako Karimata, Nagakute City, Aichi prefecture, 480-1103, Japan.
| | - Yuichi Riku
- Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, 1-1 Yazako Karimata, Nagakute City, Aichi prefecture, 480-1103, Japan.
| | - Hiroaki Miyahara
- Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, 1-1 Yazako Karimata, Nagakute City, Aichi prefecture, 480-1103, Japan.
| | - Jun Sone
- Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, 1-1 Yazako Karimata, Nagakute City, Aichi prefecture, 480-1103, Japan.
| | - Fumiaki Tanaka
- Department of Neurology and Stroke Medicine, Graduate School of Medicine, Yokohama City University, 3-9 Fukura, Kanazawa Ward, Yokohama City, Kanagawa prefecture, 236-0004, Japan.
| | - Mari Yoshida
- Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, 1-1 Yazako Karimata, Nagakute City, Aichi prefecture, 480-1103, Japan.
| | - Yasushi Iwasaki
- Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, 1-1 Yazako Karimata, Nagakute City, Aichi prefecture, 480-1103, Japan.
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Brinia ME, Kapsali I, Giagkou N, Constantinides VC. Planimetric and Volumetric Brainstem MRI Markers in Progressive Supranuclear Palsy, Multiple System Atrophy, and Corticobasal Syndrome. A Systematic Review and Meta-Analysis. Neurol Int 2023; 16:1-19. [PMID: 38392951 PMCID: PMC10892270 DOI: 10.3390/neurolint16010001] [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: 11/12/2023] [Revised: 12/13/2023] [Accepted: 12/13/2023] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Various MRI markers-including midbrain and pons areas (Marea, Parea) and volumes (Mvol, Pvol), ratios (M/Parea, M/Pvol), and composite markers (magnetic resonance imaging Parkinsonism Indices 1,2; MRPI 1,2)-have been proposed as imaging markers of Richardson's syndrome (RS) and multiple system atrophy-Parkinsonism (MSA-P). A systematic review/meta-analysis of relevant studies aiming to compare the diagnostic accuracy of these imaging markers is lacking. METHODS Pubmed and Scopus were searched for studies with >10 patients (RS, MSA-P or CBS) and >10 controls with data on Marea, Parea, Mvol, Pvol, M/Parea, M/Pvol, MRPI 1, and MRPI 2. Cohen's d, as a measure of effect size, was calculated for all markers in RS, MSA-P, and CBS. RESULTS Twenty-five studies on RS, five studies on MSA-P, and four studies on CBS were included. Midbrain area provided the greatest effect size for differentiating RS from controls (Cohen's d = -3.10; p < 0.001), followed by M/Parea and MRPI 1. MSA-P had decreased midbrain and pontine areas. Included studies exhibited high heterogeneity, whereas publication bias was low. CONCLUSIONS Midbrain area is the optimal MRI marker for RS, and pons area is optimal for MSA-P. M/Parea and MRPIs produce smaller effect sizes for differentiating RS from controls.
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Affiliation(s)
| | | | | | - Vasilios C. Constantinides
- First Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece; (M.-E.B.); (I.K.)
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Kim J, Young GS, Willett AS, Pitaro AT, Crotty GF, Mesidor M, Jones KA, Bay C, Zhang M, Feany MB, Xu X, Qin L, Khurana V. Toward More Accessible Fully Automated 3D Volumetric MRI Decision Trees for the Differential Diagnosis of Multiple System Atrophy, Related Disorders, and Age-Matched Healthy Subjects. CEREBELLUM (LONDON, ENGLAND) 2023; 22:1098-1108. [PMID: 36156185 PMCID: PMC10657274 DOI: 10.1007/s12311-022-01472-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/27/2022] [Indexed: 06/16/2023]
Abstract
Differentiating multiple system atrophy (MSA) from related neurodegenerative movement disorders (NMD) is challenging. MRI is widely available and automated decision-tree analysis is simple, transparent, and resistant to overfitting. Using a retrospective cohort of heterogeneous clinical MRIs broadly sourced from a tertiary hospital system, we aimed to develop readily translatable and fully automated volumetric diagnostic decision-trees to facilitate early and accurate differential diagnosis of NMDs. 3DT1 MRI from 171 NMD patients (72 MSA, 49 PSP, 50 PD) and 171 matched healthy subjects were automatically segmented using Freesurfer6.0 with brainstem module. Decision trees employing substructure volumes and a novel volumetric pons-to-midbrain ratio (3D-PMR) were produced and tenfold cross-validation performed. The optimal tree separating NMD from healthy subjects selected cerebellar white matter, thalamus, putamen, striatum, and midbrain volumes as nodes. Its sensitivity was 84%, specificity 94%, accuracy 84%, and kappa 0.69 in cross-validation. The optimal tree restricted to NMD patients selected 3D-PMR, thalamus, superior cerebellar peduncle (SCP), midbrain, pons, and putamen as nodes. It yielded sensitivities/specificities of 94/84% for MSA, 72/96% for PSP, and 73/92% PD, with 79% accuracy and 0.62 kappa. There was correct classification of 16/17 MSA, 5/8 PSP, 6/8 PD autopsy-confirmed patients, and 6/8 MRIs that preceded motor symptom onset. Fully automated decision trees utilizing volumetric MRI data distinguished NMD patients from healthy subjects and MSA from other NMDs with promising accuracy, including autopsy-confirmed and pre-symptomatic subsets. Our open-source methodology is well-suited for widespread clinical translation. Assessment in even more heterogeneous retrospective and prospective cohorts is indicated.
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Affiliation(s)
- Jisoo Kim
- Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Geoffrey S Young
- Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Andrew S Willett
- Division of Movement Disorders, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Ariana T Pitaro
- Division of Movement Disorders, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Grace F Crotty
- Division of Movement Disorders, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
| | - Merlyne Mesidor
- Division of Movement Disorders, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Kristie A Jones
- Division of Movement Disorders, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Camden Bay
- Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Min Zhang
- Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Mel B Feany
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Xiaoyin Xu
- Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Lei Qin
- Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
- Department of Imaging, Dana-Farber Cancer Institute, Boston, MA, 02115, USA
| | - Vikram Khurana
- Division of Movement Disorders, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Boston, MA, 02115, USA.
- Hale Building for Transformative Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA.
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8
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Seada SA, van der Eerden AW, Boon AJW, Hernandez-Tamames JA. Quantitative MRI protocol and decision model for a 'one stop shop' early-stage Parkinsonism diagnosis: Study design. Neuroimage Clin 2023; 39:103506. [PMID: 37696098 PMCID: PMC10500558 DOI: 10.1016/j.nicl.2023.103506] [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: 03/30/2023] [Revised: 06/21/2023] [Accepted: 09/04/2023] [Indexed: 09/13/2023]
Abstract
Differentiating among early-stage parkinsonisms is a challenge in clinical practice. Quantitative MRI can aid the diagnostic process, but studies with singular MRI techniques have had limited success thus far. Our objective is to develop a multi-modal MRI method for this purpose. In this review we describe existing methods and present a dedicated quantitative MRI protocol, a decision model and a study design to validate our approach ahead of a pilot study. We present example imaging data from patients and a healthy control, which resemble related literature.
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Affiliation(s)
- Samy Abo Seada
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Anke W van der Eerden
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Agnita J W Boon
- Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
| | - Juan A Hernandez-Tamames
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Imaging Physics, TU Delft, The Netherlands.
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9
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Wen Y, Yang Q, Jiao B, Zhang W, Lin J, Zhu Y, Xu Q, Zhou H, Weng L, Liao X, Zhou Y, Wang J, Guo J, Yan X, Jiang H, Tang B, Shen L. Clinical features of progressive supranuclear palsy. Front Aging Neurosci 2023; 15:1229491. [PMID: 37711994 PMCID: PMC10498458 DOI: 10.3389/fnagi.2023.1229491] [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: 05/26/2023] [Accepted: 08/18/2023] [Indexed: 09/16/2023] Open
Abstract
Background Progressive supranuclear palsy (PSP) is a clinically heterogenous atypical parkinsonian syndrome. Therefore, early recognition and correct diagnosis of PSP is challenging but essential. This study aims to characterize the clinical manifestations, magnetic resonance imaging (MRI), and longitudinal MRI changes of PSP in China. Method Clinical and MRI presentations were compared among 150 cases with PSP. Then the longitudinal MRI changes among 20 patients with PSP were further explored. Additionally, a series of midbrain-based MRI parameters was compared between PSP-P and PD. Results Throughout the course of the disease, there were differences in the symptoms of the fall and hand tremor between the PSP-RS and PSP-P. There were significant differences in the six midbrain-based MRI parameters between the PSP-RS and the PSP-P, including hummingbird sign, midbrain diameter, midbrain to pons ratio (MTPR), midbrain area, midbrain area to pons area ratio (Ma/Pa), and midbrain tegmental length (MBTegm). Longitudinal MRI studies revealed that the annual rel.ΔMTPR and rel.Δ (Ma/Pa) for PSP were 5.55 and 6.52%, respectively; additionally, PSP-RS presented a higher decline rate than PSP-P. Moreover, MTPR ≤0.56, midbrain diameter ≤ 0.92, midbrain area ≤ 1.00, and third ventricle width ≤ 0.75 could identify PSP-P from PD. Conclusion PSP-P differs from PSP-RS regarding clinical manifestations, MRI, and longitudinal MRI changes. MRI parameters could be potential imaging markers to identify PSP-P from PD.
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Affiliation(s)
- Yafei Wen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Qijie Yang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Bin Jiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Weiwei Zhang
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
| | - Jingyi Lin
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
| | - Yuan Zhu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Qian Xu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
| | - Hui Zhou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Ling Weng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
| | - Xinxin Liao
- Department of Geriatrics Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Yafang Zhou
- Department of Geriatrics Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Junling Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Jifeng Guo
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Xinxiang Yan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Hong Jiang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Beisha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Lu Shen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
- Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Changsha, China
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10
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Kutyłowski M, Alster P, Madetko-Alster N, Migda AM, Królicki L, Migda B. The Role of the Evans Index and the Maximal Width of the Frontal Horns of the Lateral Ventricles in the Diagnostic Imaging of Progressive Supranuclear Palsy and Multiple-System Atrophy. Diagnostics (Basel) 2023; 13:2711. [PMID: 37627970 PMCID: PMC10453144 DOI: 10.3390/diagnostics13162711] [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: 06/30/2023] [Revised: 08/12/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023] Open
Abstract
Progressive Supranuclear Palsy and Multiple-System Atrophy are entities within the spectrum of atypical parkinsonism. The role of imaging methods in the diagnosis and differentiation between PSP and MSA is limited and Magnetic Resonance Imaging (MRI) is currently used as a reference modality. In this study, the authors examined a group of patients with atypical parkinsonism using a 1.5 T MRI system and aimed to find simple and repeatable measurements that may be useful to distinguish between these diseases. The results of the study indicate that the maximal width of the frontal horns of the lateral ventricles and Evans' Index may, to some extent, be useful as basic and simple measurements in the diagnostic imaging of patients with atypical parkinsonism.
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Affiliation(s)
- Michał Kutyłowski
- Department of Radiology, Mazovian Brodnowski Hospital, 03-242 Warsaw, Poland
| | - Piotr Alster
- Department of Neurology, Medical University of Warsaw, 03-242 Warsaw, Poland; (P.A.); (N.M.-A.)
| | - Natalia Madetko-Alster
- Department of Neurology, Medical University of Warsaw, 03-242 Warsaw, Poland; (P.A.); (N.M.-A.)
| | - Anna Marta Migda
- Department of Internal Medicine and Endocrinology, Medical University of Warsaw, 03-242 Warsaw, Poland;
| | - Leszek Królicki
- Department of Nuclear Medicine, Mazovian Brodnowski Hospital, 03-242 Warsaw, Poland;
- Department of Nuclear Medicine, Medical University of Warsaw, 02-097 Warsaw, Poland
| | - Bartosz Migda
- Diagnostic Ultrasound Lab., Department of Pediatric Radiology, Medical Faculty, Medical University of Warsaw, 03-242 Warsaw, Poland;
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11
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Alphonce B, Komanya F, Bitesigilwe M, Meda JR, Nyundo A. Magnetic resonance imaging in the diagnosis of progressive supranuclear palsy: A case report and review of literature. Clin Case Rep 2023; 11:e7792. [PMID: 37593343 PMCID: PMC10427753 DOI: 10.1002/ccr3.7792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 07/20/2023] [Accepted: 07/26/2023] [Indexed: 08/19/2023] Open
Abstract
Key Clinical Message Progressive supranuclear palsy (PSP) has many clinical features overlapping with other Parkinson syndromes and differentiation on clinical ground is difficult. This case highlights how a brain MRI can help diagnose PSP in settings with limited resources where histological diagnosis is difficult. Abstract Progressive supranuclear palsy (PSP) may be challenging to diagnose due to its widely acknowledged clinical complexity and challenges with diagnosis confirmation, particularly in resource-poor settings where the ability to obtain confirmatory tests is highly complicated, leading to an inaccurate or incomplete diagnosis of PSP. This paper discusses using brain magnetic resonance imaging (MRI) to diagnose PSP, and a review of relevant literature addresses the diagnostic value of MRI in PSP.
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Affiliation(s)
- Baraka Alphonce
- Department of Internal MedicineBenjamin Mkapa HospitalDodomaTanzania
| | - Francisca Komanya
- Department of Internal MedicineBenjamin Mkapa HospitalDodomaTanzania
| | | | - John R. Meda
- Department of Internal Medicine, School of MedicineUniversity of DodomaDodomaTanzania
| | - Azan Nyundo
- Department of Psychiatry and Mental Health, School of MedicineUniversity of DodomaDodomaTanzania
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12
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Shir D, Pham NTT, Botha H, Koga S, Kouri N, Ali F, Knopman DS, Petersen RC, Boeve BF, Kremers WK, Nguyen AT, Murray ME, Reichard RR, Dickson DW, Graff-Radford N, Josephs KA, Whitwell J, Graff-Radford J. Clinicoradiologic and Neuropathologic Evaluation of Corticobasal Syndrome. Neurology 2023; 101:e289-e299. [PMID: 37268436 PMCID: PMC10382268 DOI: 10.1212/wnl.0000000000207397] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 03/23/2023] [Indexed: 06/04/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Corticobasal syndrome (CBS) is a clinical phenotype characterized by asymmetric parkinsonism, rigidity, myoclonus, and apraxia. Originally believed secondary to corticobasal degeneration (CBD), mounting clinicopathologic studies have revealed heterogenous neuropathologies. The objectives of this study were to determine the pathologic heterogeneity of CBS, the clinicoradiologic findings associated with different underlying pathologies causing CBS, and the positive predictive value (PPV) of current diagnostic criteria for CBD among patients with a CBS. METHODS Clinical data, brain MRI, and neuropathologic data of patients followed at Mayo Clinic and diagnosed with CBS antemortem were reviewed according to neuropathology category at autopsy. RESULTS The cohort consisted of 113 patients with CBS, 61 (54%) female patients. Mean ± SD disease duration was 7 ± 3.7 years; mean ± SD age at death was 70.5 ± 9.1 years. The primary neuropathologic diagnoses were 43 (38%) CBD, 27 (24%) progressive supranuclear palsy (PSP), 17 (15%) Alzheimer disease (AD), 10 (9%) frontotemporal lobar degeneration (FTLD) with TAR DNA-binding protein 43 (TDP) inclusions, 7 (6%) diffuse Lewy body disease (DLBD)/AD, and 9 (8%) with other diagnoses. Patients with CBS-AD or CBS-DLBD/AD were youngest at death (median [interquartile range]: 64 [13], 64 [11] years) while CBS-PSP were oldest (77 [12.5] years, p = 0.024). Patients with CBS-DLBD/AD had the longest disease duration (9 [6] years), while CBS-other had the shortest (3 [4.25] years, p = 0.04). Posterior cortical signs and myoclonus were more characteristic of patients with CBS-AD and patients with CBS-DLBD/AD. Patients with CBS-DLBD/AD displayed more features of Lewy body dementia. Voxel-based morphometry revealed widespread cortical gray matter loss characteristic of CBS-AD, while CBS-CBD and CBS-PSP predominantly involved premotor regions with greater amount of white matter loss. Patients with CBS-DLBD/AD showed atrophy in a focal parieto-occipital region, and patients with CBS-FTLD-TDP had predominant prefrontal cortical loss. Patients with CBS-PSP had the lowest midbrain/pons ratio (p = 0.012). Of 67 cases meeting clinical criteria for possible CBD at presentation, 27 were pathology-proven CBD, yielding a PPV of 40%. DISCUSSION A variety of neurodegenerative disorders can be identified in patients with CBS, but clinical and regional imaging differences aid in predicting underlying neuropathology. PPV analysis of the current CBD diagnostic criteria revealed suboptimal performance. Biomarkers adequately sensitive and specific for CBD are needed.
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Affiliation(s)
- Dror Shir
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Nha Trang Thu Pham
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Hugo Botha
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Shunsuke Koga
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Naomi Kouri
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Farwa Ali
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - David S Knopman
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Ronald C Petersen
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Brad F Boeve
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Walter K Kremers
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Aivi T Nguyen
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Melissa E Murray
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - R Ross Reichard
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Dennis W Dickson
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Neill Graff-Radford
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL.
| | - Keith Anthony Josephs
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Jennifer Whitwell
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL
| | - Jonathan Graff-Radford
- From the Department of Neurology (D.S., H.B., F.A., D.S.K., R.C.P., B.F.B., K.A.J., J.G.-R.), and Department of Radiology (N.T.T.P., J.W.), Mayo Clinic, Rochester, MN; Department of Neuroscience (S.K., N.K., M.E.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Department of Quantitative Health Sciences (R.C.P., W.K.K.), and Department of Laboratory Medicine and Pathology (A.T.N., R.R.R.), Mayo Clinic, Rochester, MN; and Department of Neurology (N.G.-R.), Mayo Clinic, Jacksonville, FL.
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13
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Carlos AF, Josephs KA. The Role of Clinical Assessment in the Era of Biomarkers. Neurotherapeutics 2023; 20:1001-1018. [PMID: 37594658 PMCID: PMC10457273 DOI: 10.1007/s13311-023-01410-3] [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] [Accepted: 07/14/2023] [Indexed: 08/19/2023] Open
Abstract
Hippocratic Medicine revolved around the three main principles of patient, disease, and physician and promoted the systematic observation of patients, rational reasoning, and interpretation of collected information. Although these remain the cardinal features of clinical assessment today, Medicine has evolved from a more physician-centered to a more patient-centered approach. Clinical assessment allows physicians to encounter, observe, evaluate, and connect with patients. This establishes the patient-physician relationship and facilitates a better understanding of the patient-disease relationship, as the ultimate goal is to diagnose, prognosticate, and treat. Biomarkers are at the core of the more disease-centered approach that is currently revolutionizing Medicine as they provide insight into the underlying disease pathomechanisms and biological changes. Genetic, biochemical, radiographic, and clinical biomarkers are currently used. Here, we define a seven-level theoretical construct for the utility of biomarkers in neurodegenerative diseases. Level 1-3 biomarkers are considered supportive of clinical assessment, capable of detecting susceptibility or risk factors, non-specific neurodegeneration or dysfunction, and/or changes at the individual level which help increase clinical diagnostic accuracy and confidence. Level 4-7 biomarkers have the potential to surpass the utility of clinical assessment through detection of early disease stages and prediction of underlying pathology. In neurodegenerative diseases, biomarkers can potentiate, but cannot substitute, clinical assessment. In this current era, aside from adding to the discovery, evaluation/validation, and implementation of more biomarkers, clinical assessment remains crucial to maintaining the personal, humanistic, and sociocultural aspects of patient care. We would argue that clinical assessment is a custom that should never go obsolete.
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Affiliation(s)
- Arenn F Carlos
- Department of Neurology, Mayo Clinic, 200 1st St. S.W., Rochester, MN, 55905, USA.
| | - Keith A Josephs
- Department of Neurology, Mayo Clinic, 200 1st St. S.W., Rochester, MN, 55905, USA
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14
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Lupascu N, Lupescu IC, Caloianu I, Naftanaila F, Glogojeanu RR, Sirbu CA, Mitrica M. Imaging Criteria for the Diagnosis of Progressive Supranuclear Palsy: Supportive or Mandatory? Diagnostics (Basel) 2023; 13:diagnostics13111967. [PMID: 37296819 DOI: 10.3390/diagnostics13111967] [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: 05/02/2023] [Revised: 05/31/2023] [Accepted: 06/03/2023] [Indexed: 06/12/2023] Open
Abstract
We present the case of a 54-year-old male, without any significant medical history, who insidiously developed speech disturbances and walking difficulties, accompanied by backward falls. The symptoms progressively worsened over time. The patient was initially diagnosed with Parkinson's disease; however, he failed to respond to standard therapy with Levodopa. He came to our attention for worsening postural instability and binocular diplopia. A neurological exam was highly suggestive of a Parkinson-plus disease, most likely progressive supranuclear gaze palsy. Brain MRI was performed and revealed moderate midbrain atrophy with the characteristic "hummingbird" and "Mickey mouse" signs. An increased MR parkinsonism index was also noted. Based on all clinical and paraclinical data, a diagnosis of probable progressive supranuclear palsy was established. We review the main imaging features of this disease and their current role in diagnosis.
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Affiliation(s)
- Nicoleta Lupascu
- Department of Neurology, "Dr. Carol Davila" Central Military Emergency University Hospital, 010242 Bucharest, Romania
| | - Ioan Cristian Lupescu
- Clinical Neurosciences Department, University of Medicine and Pharmacy "Carol Davila" Bucharest, 050474 Bucharest, Romania
- Department of Neurology, Fundeni Clinical Institute, 022328 Bucharest, Romania
| | - Ionuț Caloianu
- Department of Neurology, "Dr. Carol Davila" Central Military Emergency University Hospital, 010242 Bucharest, Romania
| | - Florin Naftanaila
- Radiology and Medical Imaging Department, "Dr. Carol Davila" Central Military Emergency University Hospital, 010242 Bucharest, Romania
| | - Remus Relu Glogojeanu
- Department of Special Motricity and Medical Recovery, The National University of Physical Education and Sports, 060057 Bucharest, Romania
| | - Carmen Adella Sirbu
- Clinical Neurosciences Department, University of Medicine and Pharmacy "Carol Davila" Bucharest, 050474 Bucharest, Romania
- Center for Cognitive Research in Neuropsychiatric Pathology (Neuropsy-Cog), Department of Neurology, Faculty of Medicine, "Victor Babeș" University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Marian Mitrica
- Clinical Neurosciences Department, University of Medicine and Pharmacy "Carol Davila" Bucharest, 050474 Bucharest, Romania
- Department of Neurosurgery, "Dr. Carol Davila" Central Military Emergency University Hospital, 010242 Bucharest, Romania
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15
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Miyata M, Kakeda S, Yoneda T, Ide S, Okada K, Adachi H, Korogi Y. Superior cerebellar peduncle atrophy of progressive supranuclear palsy on phase difference enhanced imaging: a comparison with Parkinson's disease. Neuroradiology 2023; 65:719-727. [PMID: 36670276 DOI: 10.1007/s00234-023-03119-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 01/12/2023] [Indexed: 01/21/2023]
Abstract
PURPOSE Phase difference enhanced (PADRE) imaging can enhance myelin density and delineate the superior cerebellar peduncle (SCP). We aimed to determine if SCP atrophy was distinguishable on PADRE imaging and evaluate its diagnostic performance compared with previous MRI progressive supranuclear palsy (PSP) findings. METHODS Two reviewers measured the SCP widths on PADRE in 20 PSP and 31 Parkinson's disease (PD) patients. The SCP and middle cerebellar peduncle (MCP) widths and the pons and midbrain areas were measured on 3D-T1WI, and the ratio of the area of the pons to the area of the midbrain, the MCP/SCP ratio, and the magnetic resonance parkinsonism index (MRPI) were calculated. We used the Steel-Dwass test to compare PSP, PD, and HS, and receiver operating characteristic curve (ROC) analyses to assess the sensitivity and specificity for diagnosing PSP from PD. A comparison of ROC curves was performed between the SCP on PADRE and these 3D-T1WI parameters. RESULTS In radiologist 1, the SCP on PADRE in PSP (1.1 ± 0.3 mm) was significantly smaller than those in PD (2.4 ± 0.4 mm) (P < 0.001); the area under the curve (AUC) was 0.97. At a 1.75-mm cutoff value, the diagnostic sensitivity and specificity for differentiating PSP from PD were 93.5% and 100%, respectively. The AUC of the SCP on PADRE was significantly higher than the 3D-T1WI parameters (the SCP, MCP, pons area, MCP/SCP ratio, and MRPI). CONCLUSION Assessing SCP with PADRE imaging may yield high diagnostic accuracy for discriminating PSP from PD.
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Affiliation(s)
- Mari Miyata
- Department of Radiology, University of Occupational and Environmental Health, School of Medicine, 1-1 Iseigaoka, Yahatanishi-Ku, Kitakyushu, Fukuoka, 807-8555, Japan.
| | - Shingo Kakeda
- Department of Radiology, Hirosaki University Graduate School of Medicine, Aomori, Japan
| | - Tetsuya Yoneda
- Department of Medical Physics in Advanced Biomedical Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Satoru Ide
- Department of Radiology, University of Occupational and Environmental Health, School of Medicine, 1-1 Iseigaoka, Yahatanishi-Ku, Kitakyushu, Fukuoka, 807-8555, Japan
| | - Kazumasa Okada
- Department of Neurology, University of Occupational and Environmental Health, School of Medicine, Kitakyushu, Japan
| | - Hiroaki Adachi
- Department of Neurology, University of Occupational and Environmental Health, School of Medicine, Kitakyushu, Japan
| | - Yukunori Korogi
- Department of Radiology, University of Occupational and Environmental Health, School of Medicine, 1-1 Iseigaoka, Yahatanishi-Ku, Kitakyushu, Fukuoka, 807-8555, Japan
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16
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Wen G, Shim V, Holdsworth SJ, Fernandez J, Qiao M, Kasabov N, Wang A. Machine Learning for Brain MRI Data Harmonisation: A Systematic Review. Bioengineering (Basel) 2023; 10:bioengineering10040397. [PMID: 37106584 PMCID: PMC10135601 DOI: 10.3390/bioengineering10040397] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 03/16/2023] [Accepted: 03/21/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND Magnetic Resonance Imaging (MRI) data collected from multiple centres can be heterogeneous due to factors such as the scanner used and the site location. To reduce this heterogeneity, the data needs to be harmonised. In recent years, machine learning (ML) has been used to solve different types of problems related to MRI data, showing great promise. OBJECTIVE This study explores how well various ML algorithms perform in harmonising MRI data, both implicitly and explicitly, by summarising the findings in relevant peer-reviewed articles. Furthermore, it provides guidelines for the use of current methods and identifies potential future research directions. METHOD This review covers articles published through PubMed, Web of Science, and IEEE databases through June 2022. Data from studies were analysed based on the criteria of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Quality assessment questions were derived to assess the quality of the included publications. RESULTS a total of 41 articles published between 2015 and 2022 were identified and analysed. In the review, MRI data has been found to be harmonised either in an implicit (n = 21) or an explicit (n = 20) way. Three MRI modalities were identified: structural MRI (n = 28), diffusion MRI (n = 7) and functional MRI (n = 6). CONCLUSION Various ML techniques have been employed to harmonise different types of MRI data. There is currently a lack of consistent evaluation methods and metrics used across studies, and it is recommended that the issue be addressed in future studies. Harmonisation of MRI data using ML shows promises in improving performance for ML downstream tasks, while caution should be exercised when using ML-harmonised data for direct interpretation.
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Affiliation(s)
- Grace Wen
- Auckland Bioengineering Institute, University of Auckland, Auckland 1142, New Zealand
| | - Vickie Shim
- Auckland Bioengineering Institute, University of Auckland, Auckland 1142, New Zealand
- Centre for Brain Research, University of Auckland, Auckland 1142, New Zealand
| | - Samantha Jane Holdsworth
- Centre for Brain Research, University of Auckland, Auckland 1142, New Zealand
- Mātai Medical Research Institute, Tairāwhiti-Gisborne 4010, New Zealand
- Department of Anatomy & Medical Imaging, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1142, New Zealand
| | - Justin Fernandez
- Auckland Bioengineering Institute, University of Auckland, Auckland 1142, New Zealand
| | - Miao Qiao
- Department of Computer Science, University of Auckland, Auckland 1142, New Zealand
| | - Nikola Kasabov
- Auckland Bioengineering Institute, University of Auckland, Auckland 1142, New Zealand
- Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland 1010, New Zealand
- Intelligent Systems Research Centre, Ulster University, Londonderry BT52 1SA, UK
- Institute for Information and Communication Technologies, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
| | - Alan Wang
- Auckland Bioengineering Institute, University of Auckland, Auckland 1142, New Zealand
- Centre for Brain Research, University of Auckland, Auckland 1142, New Zealand
- Department of Anatomy & Medical Imaging, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1142, New Zealand
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Müller SJ, Khadhraoui E, Hansen N, Jamous A, Langer P, Wiltfang J, Riedel CH, Bouter C, van Riesen C, Maass F, Bartl M, Lange C, Ernst M. Brainstem atrophy in dementia with Lewy bodies compared with progressive supranuclear palsy and Parkinson's disease on MRI. BMC Neurol 2023; 23:114. [PMID: 36944914 PMCID: PMC10029226 DOI: 10.1186/s12883-023-03151-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 03/08/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND Although Dementia with Lewy bodies (DLB) is the second most common form of dementia in elderly patients, it remains underdiagnosed compared with Alzheimer's (AD) and Parkinson's diseases (PD). This may be explained by overlapping clinical symptoms, e.g. Parkinsonism. While current MRI research focuses primarily on atrophy patterns of the frontal and temporal lobes, we focus on brainstem characteristics of DLB. In particular, we focused on brainstem atrophy patterns distinguishing DLB from Progressive Supranuclear Palsy (PSP) and PD based as the most common differential diagnoses. METHODS We identified patients diagnosed with DLB, PD, PSP, and a control group (CTRL) in our psychiatric and neurological archives. All patients with competing diagnoses and without a high-quality T1 MPRAGE 3D dataset were excluded. We assessed atrophy patterns in all patients (1) manually and (2) using FastSurfer's segmentation algorithm in combination with FreeSurfer's brainstem volumetric calculations. We compared classical measurement methods and ratios with automated volumetric approaches. RESULTS One hundred two patients were enrolled and evaluated in this study. Patients with DLB (n = 37) showed on average less atrophy of the brainstem than patients with PSP (n = 21), but a significantly more pronounced atrophy than patients with PD (n = 36) and the control group (CTRL, n = 8). The mean measured sagittal diameters of the midbrain were 8.17 ± 1.06 mm (mean ± standard deviation) for PSP, 9.45 ± 0.95 mm for DLB, 10.37 ± 0.99 mm for PD and 10.74 ± 0.70 for CTRL. The mean measured areas of the midbrain were 81 ± 18 mm2 for PSP, 105 ± 17 mm2 for DLB, 130 ± 26 mm2 for PD and 135 ± 23 mm2 for CTRL. The mean segmented volumes of the midbrain were 5595 ± 680 mm3 for PSP, 6051 ± 566 mm3 for DLB, 6646 ± 802 mm3 for PD and 6882 ± 844 mm3 for CTRL. The calculated midbrain pons ratios did not show superiority over the absolute measurements of the midbrain for distinguishing PSP from DLB. Because of the relatively uniform atrophy throughout the brainstem, the ratios were not suitable for distinguishing DLB from PD. CONCLUSIONS DLB patients exhibit homogenous atrophy of the brainstem and can be distinguished from patients with PSP and PD by both manual measurement methods and automated volume segmentation using absolute values or ratios.
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Affiliation(s)
- Sebastian Johannes Müller
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen (UMG), Georg-August-University Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Germany
| | - Eya Khadhraoui
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen (UMG), Georg-August-University Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Germany
| | - Niels Hansen
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen (UMG), Georg-August-University, Göttingen, Germany
| | - Ala Jamous
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen (UMG), Georg-August-University Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Germany
| | - Philip Langer
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen (UMG), Georg-August-University Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen (UMG), Georg-August-University, Göttingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Department of Medical Sciences, Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal
| | - Christian Heiner Riedel
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen (UMG), Georg-August-University Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Germany
| | - Caroline Bouter
- Department of Nuclear Medicine, University Medical Center Göttingen (UMG), Georg-August-University, Göttingen, Germany
| | - Christoph van Riesen
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Department of Neurology, University Medical Center Göttingen (UMG), Georg-August-University, Göttingen, Germany
| | - Fabian Maass
- Department of Neurology, University Medical Center Göttingen (UMG), Georg-August-University, Göttingen, Germany
| | - Michael Bartl
- Department of Neurology, University Medical Center Göttingen (UMG), Georg-August-University, Göttingen, Germany
| | - Claudia Lange
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen (UMG), Georg-August-University, Göttingen, Germany
| | - Marielle Ernst
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen (UMG), Georg-August-University Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Germany.
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Comparative validation of AI and non-AI methods in MRI volumetry to diagnose Parkinsonian syndromes. Sci Rep 2023; 13:3439. [PMID: 36859498 PMCID: PMC10156821 DOI: 10.1038/s41598-023-30381-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 02/21/2023] [Indexed: 03/03/2023] Open
Abstract
Automated segmentation and volumetry of brain magnetic resonance imaging (MRI) scans are essential for the diagnosis of Parkinson's disease (PD) and Parkinson's plus syndromes (P-plus). To enhance the diagnostic performance, we adopt deep learning (DL) models in brain MRI segmentation and compared their performance with the gold-standard non-DL method. We collected brain MRI scans of healthy controls ([Formula: see text]) and patients with PD ([Formula: see text]), multiple systemic atrophy ([Formula: see text]), and progressive supranuclear palsy ([Formula: see text]) at Samsung Medical Center from January 2017 to December 2020. Using the gold-standard non-DL model, FreeSurfer (FS), we segmented six brain structures: midbrain, pons, caudate, putamen, pallidum, and third ventricle, and considered them as annotated data for DL models, the representative convolutional neural network (CNN) and vision transformer (ViT)-based models. Dice scores and the area under the curve (AUC) for differentiating normal, PD, and P-plus cases were calculated to determine the measure to which FS performance can be reproduced as-is while increasing speed by the DL approaches. The segmentation times of CNN and ViT for the six brain structures per patient were 51.26 ± 2.50 and 1101.82 ± 22.31 s, respectively, being 14 to 300 times faster than FS (15,735 ± 1.07 s). Dice scores of both DL models were sufficiently high (> 0.85) so their AUCs for disease classification were not inferior to that of FS. For classification of normal vs. P-plus and PD vs. P-plus (except multiple systemic atrophy - Parkinsonian type) based on all brain parts, the DL models and FS showed AUCs above 0.8, demonstrating the clinical value of DL models in addition to FS. DL significantly reduces the analysis time without compromising the performance of brain segmentation and differential diagnosis. Our findings may contribute to the adoption of DL brain MRI segmentation in clinical settings and advance brain research.
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Lampe L, Huppertz HJ, Anderl-Straub S, Albrecht F, Ballarini T, Bisenius S, Mueller K, Niehaus S, Fassbender K, Fliessbach K, Jahn H, Kornhuber J, Lauer M, Prudlo J, Schneider A, Synofzik M, Kassubek J, Danek A, Villringer A, Diehl-Schmid J, Otto M, Schroeter ML. Multiclass prediction of different dementia syndromes based on multi-centric volumetric MRI imaging. Neuroimage Clin 2023; 37:103320. [PMID: 36623349 PMCID: PMC9850041 DOI: 10.1016/j.nicl.2023.103320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 11/23/2022] [Accepted: 01/04/2023] [Indexed: 01/07/2023]
Abstract
INTRODUCTION Dementia syndromes can be difficult to diagnose. We aimed at building a classifier for multiple dementia syndromes using magnetic resonance imaging (MRI). METHODS Atlas-based volumetry was performed on T1-weighted MRI data of 426 patients and 51 controls from the multi-centric German Research Consortium of Frontotemporal Lobar Degeneration including patients with behavioral variant frontotemporal dementia, Alzheimer's disease, the three subtypes of primary progressive aphasia, i.e., semantic, logopenic and nonfluent-agrammatic variant, and the atypical parkinsonian syndromes progressive supranuclear palsy and corticobasal syndrome. Support vector machine classification was used to classify each patient group against controls (binary classification) and all seven diagnostic groups against each other in a multi-syndrome classifier (multiclass classification). RESULTS The binary classification models reached high prediction accuracies between 71 and 95% with a chance level of 50%. Feature importance reflected disease-specific atrophy patterns. The multi-syndrome model reached accuracies of more than three times higher than chance level but was far from 100%. Multi-syndrome model performance was not homogenous across dementia syndromes, with better performance in syndromes characterized by regionally specific atrophy patterns. Whereas diseases generally could be classified vs controls more correctly with increasing severity and duration, differentiation between diseases was optimal in disease-specific windows of severity and duration. DISCUSSION Results suggest that automated methods applied to MR imaging data can support physicians in diagnosis of dementia syndromes. It is particularly relevant for orphan diseases beside frequent syndromes such as Alzheimer's disease.
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Affiliation(s)
- Leonie Lampe
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Clinic for Cognitive Neurology, University Clinic Leipzig, Germany
| | | | | | - Franziska Albrecht
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Tommaso Ballarini
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Sandrine Bisenius
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Karsten Mueller
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Sebastian Niehaus
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | | | - Klaus Fliessbach
- Clinic for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, and German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Holger Jahn
- Clinic for Psychiatry and Psychotherapy, University Hospital Hamburg-Eppendorf, Germany
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen, Germany
| | - Martin Lauer
- Department of Psychiatry and Psychotherapy, University Wuerzburg, Germany
| | - Johannes Prudlo
- Department of Neurology, University of Rostock, and DZNE, Rostock, Germany
| | - Anja Schneider
- Clinic for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, and German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department of Psychiatry and Psychotherapy, University of Goettingen, Germany
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases, Centre for Neurology & Hertie-lnstitute for Clinical Brain Research, University of Tuebingen, Germany & DZNE, Tuebingen, Germany
| | - Jan Kassubek
- Department of Neurology, University of Ulm, Germany
| | - Adrian Danek
- Department of Neurology, Ludwig-Maximilians-Universität Munich, München, Germany
| | - Arno Villringer
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Clinic for Cognitive Neurology, University Clinic Leipzig, Germany
| | - Janine Diehl-Schmid
- Department of Psychiatry and Psychotherapy, Technical University of Munich, Germany
| | - Markus Otto
- Department of Neurology, University of Ulm, Germany; Department of Neurology, University of Halle, Germany
| | - Matthias L Schroeter
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Clinic for Cognitive Neurology, University Clinic Leipzig, Germany.
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Tinaz S. Magnetic resonance imaging modalities aid in the differential diagnosis of atypical parkinsonian syndromes. Front Neurol 2023; 14:1082060. [PMID: 36816565 PMCID: PMC9932598 DOI: 10.3389/fneur.2023.1082060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 01/16/2023] [Indexed: 02/05/2023] Open
Abstract
Accurate and timely diagnosis of atypical parkinsonian syndromes (APS) remains a challenge. Especially early in the disease course, the clinical manifestations of the APS overlap with each other and with those of idiopathic Parkinson's disease (PD). Recent advances in magnetic resonance imaging (MRI) technology have introduced promising imaging modalities to aid in the diagnosis of APS. Some of these MRI modalities are also included in the updated diagnostic criteria of APS. Importantly, MRI is safe for repeated use and more affordable and accessible compared to nuclear imaging. These advantages make MRI tools more appealing for diagnostic purposes. As the MRI field continues to advance, the diagnostic use of these techniques in APS, alone or in combination, are expected to become commonplace in clinical practice.
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Affiliation(s)
- Sule Tinaz
- Division of Movement Disorders, Department of Neurology, Yale School of Medicine, New Haven, CT, United States
- Department of Neurology, Clinical Neurosciences Imaging Center, Yale School of Medicine, New Haven, CT, United States
- *Correspondence: Sule Tinaz ✉
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21
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Naito R, Watanabe Y, Naito A, Sugasawa K, Nakata Y, Kamiyama T, Okiyama R, Yokochi F, Isozaki E, Yamasoba T, Takahashi K. Visual fixation suppression of caloric nystagmus in progressive supranuclear palsy - A comparison with Parkinson's disease. J Vestib Res 2023; 33:385-401. [PMID: 37599554 DOI: 10.3233/ves-210147] [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] [Indexed: 08/22/2023]
Abstract
BACKGROUND Impairment of visual fixation suppression (VS) in progressive supranuclear palsy (PSP) is not well documented. OBJECTIVE To evaluate the usefulness of impaired VS of caloric nystagmus as an index for differential diagnosis between PSP and Parkinson's disease (PD), which is often difficult, especially in the early stage. METHODS Subjects comprised 26 PSP patients and 26 PD patients clinically diagnosed at Tokyo Metropolitan Neurological Hospital. We retrospectively investigated VS of caloric nystagmus, horizontal pursuit, saccades, and horizontal optokinetic nystagmus recorded on direct-current-electronystagmography, and neuroradiological findings. RESULTS The median of the average VS% was 0% and 50.0% in PSP and PD patients, respectively. In PSP, VS was impaired even in the early stage of disease. We found a significant correlation between VS and velocity of saccades or maximum slow phase velocity of optokinetic nystagmus only in PSP patients. PSP patients with atrophy of the subthalamic nucleus or with decreased blood flow in the frontal lobe showed significantly more severe impairment of VS. CONCLUSIONS VS may be a useful biomarker to differentiate patients with PSP from those with PD. Cerebellar networks that connect with the cerebral cortex and basal ganglia may contribute to impaired VS of caloric nystagmus in PSP.
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Affiliation(s)
- Rie Naito
- Department of Neuro-Otology, Tokyo Metropolitan Neurological Hospital, Fuchu, Tokyo, Japan
| | - Yuki Watanabe
- Department of Neuro-Otology, Tokyo Metropolitan Neurological Hospital, Fuchu, Tokyo, Japan
| | - Akira Naito
- Department of Neuro-Otology, Tokyo Metropolitan Neurological Hospital, Fuchu, Tokyo, Japan
| | - Keiko Sugasawa
- Department of Neuro-Otology, Tokyo Metropolitan Neurological Hospital, Fuchu, Tokyo, Japan
| | - Yasuhiro Nakata
- Department of Neuro-Radiology, Tokyo Metropolitan Neurological Hospital, Fuchu, Tokyo, Japan
| | - Tsutomu Kamiyama
- Department of Neuro-Radiology, Tokyo Metropolitan Neurological Hospital, Fuchu, Tokyo, Japan
| | - Ryoichi Okiyama
- Department of Neurology, Tokyo Metropolitan Neurological Hospital, Fuchu, Tokyo, Japan
| | - Fusako Yokochi
- Department of Neurology, Tokyo Metropolitan Neurological Hospital, Fuchu, Tokyo, Japan
| | - Eiji Isozaki
- Department of Neurology, Tokyo Metropolitan Neurological Hospital, Fuchu, Tokyo, Japan
| | - Tatsuya Yamasoba
- Department of Otolaryngology and Head and Neck Surgery, Graduate School of Medicines, University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Kazushi Takahashi
- Department of Neurology, Tokyo Metropolitan Neurological Hospital, Fuchu, Tokyo, Japan
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22
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Hosapatna M, Aparna Verma, Antony Sylvan D’Souza, L. C. P. The role of width of pars compacta of substantia nigra and the midbrain area in patients with Parkinson’s disease and progressive supranuclear palsy with healthy aged individuals. Biomedicine (Taipei) 2022. [DOI: 10.51248/.v42i4.1180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Introduction and Aim: Though numerous image processing software exists to analyse the images, measurement of substantia nigra width and midbrain area are simple yet definite tools to distinguish and diagnose the Parkinson’s disease (PD) and progressive supranuclear palsy (PSP) when complimented with clinical findings. Comparing the brainstem parameters in healthy, (neurodegenerative) diseased, and during the treatment helps us to assess the disease monitoring i.e., severity and progress of the disease, and formulate the best treatment strategies. This study aimed at comparison of the thickness of substantia nigra (SN) in Parkinson's disease (PD) and progressive supranuclear palsy (PSP) with aged healthy individuals by magnetic resonance (MR) imaging.
Material and Methods: This observational study includes the evaluation of MR images of 50 aged healthy individuals with no obvious neurological diseases, 35 classical PD, and 15 PSP patients from the Department of Radiology. Quantitative planimetric evaluation of midbrain area was calculated and the width of substantia nigra (SN) was evaluated as per standard reference criteria with computer assisted image analysis and interpretation program.
Results: The parameters like means of midbrain area and the pars compacta thickness on both right and left sides were compared both in PD and PSP patients with healthy individuals. MR image analysis showed significant decrease in the thickness of pars compacta of SN in PD patients than in PSP patients when compared with age matched healthy aged individuals.
Conclusion: Parkinsonian diseases are always associated with the neuronal loss leading to volume alterations by causing midbrain atrophy. Magnetic resonance imaging of the thickness of SN is simple and reliable imaging markers to differentiate PD and PSP when combined with clinical symptomatology.
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23
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Magnetic Resonance Planimetry in the Differential Diagnosis between Parkinson’s Disease and Progressive Supranuclear Palsy. Brain Sci 2022; 12:brainsci12070949. [PMID: 35884755 PMCID: PMC9313181 DOI: 10.3390/brainsci12070949] [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: 06/19/2022] [Revised: 07/12/2022] [Accepted: 07/14/2022] [Indexed: 12/10/2022] Open
Abstract
The clinical differential diagnosis between Parkinson’s disease (PD) and progressive supranuclear palsy (PSP) is often challenging. The description of milder PSP phenotypes strongly resembling PD, such as PSP-Parkinsonism, further increased the diagnostic challenge and the need for reliable neuroimaging biomarkers to enhance the diagnostic certainty. This review aims to summarize the contribution of a relatively simple and widely available imaging technique such as MR planimetry in the differential diagnosis between PD and PSP, focusing on the recent advancements in this field. The development of accurate MR planimetric biomarkers, together with the implementation of automated algorithms, led to robust and objective measures for the differential diagnosis of PSP and PD at the individual level. Evidence from longitudinal studies also suggests a role of MR planimetry in predicting the development of the PSP clinical signs, allowing to identify PSP patients before they meet diagnostic criteria when their clinical phenotype can be indistinguishable from PD. Finally, promising evidence exists on the possible association between MR planimetric measures and the underlying pathology, with important implications for trials with new disease-modifying target therapies.
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24
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Zhu Y, Ruan G, Cheng Z, Zou S, Zhu X. Lateralization of the crossed cerebellar diaschisis-associated metabolic connectivities in cortico-ponto-cerebellar and cortico-rubral pathways. Neuroimage 2022; 260:119487. [PMID: 35850160 DOI: 10.1016/j.neuroimage.2022.119487] [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: 11/29/2021] [Revised: 06/21/2022] [Accepted: 07/14/2022] [Indexed: 11/16/2022] Open
Abstract
This study aimed to explore the glucose metabolic profile of extrapyramidal system in patients with crossed cerebellar diaschisis (CCD). Furthermore, the metabolic connectivities in cortico-ponto-cerebellar and cortico-rubral pathways associated with CCD were also investigated. A total of 130 CCD positive (CCD+) and 424 CCD negative (CCD-) patients with unilateral cerebral hemisphere hypometabolism on 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) were enrolled. Besides, the control group consisted of 56 subjects without any brain structural and metabolic abnormalities. Apart from the "autocorrelation", metabolic connectivity pattern of right or left affected cerebellar hemisphere involved unilateral (left or right, respectively) caudate, pallidum, putamen, thalamus and red nucleus, in CCD+ patients with left or right supratentorial lesions, respectively (Puncorrected < 0.001, cluster size > 200). CCD+ group had significantly lower asymmetry index (AI) in cortico-ponto-cerebellar pathway (including ipsilateral cerebral white matter, ipsilateral pons, contralateral cerebellum white matter and contralateral cerebellum exterior cortex) and cortico-rubral pathway (including ipsilateral caudate, thalamus proper, pallidum, putamen, ventral diencephalon and red nucleus) than those of both CCD- and control groups (all P < 0.05). AI in contralateral cerebellum exterior cortex was significantly positively correlated with that in ipsilateral caudate, putamen, pallidum, thalamus proper, ventral diencephalon, red nucleus and pons among CCD+ group (all P < 0.01), but only with that in ipsilateral caudate and putamen among CCD- group (both P < 0.001). These results provide additional insight into the involvement of both cortico-ponto-cerebellar and cortico-rubral pathways in the presence of CCD, underlining the need for further investigation about the role of their aberrant metabolic connectivities in the associated symptoms of CCD.
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Affiliation(s)
- Yuankai Zhu
- Department of Nuclear Medicine and PET Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Ave, Wuhan 430030, China
| | - Ge Ruan
- Department of Radiology, Hospital, Hubei University, Wuhan 430062, China
| | - Zhaoting Cheng
- Department of Nuclear Medicine and PET Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Ave, Wuhan 430030, China
| | - Sijuan Zou
- Department of Nuclear Medicine and PET Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Ave, Wuhan 430030, China
| | - Xiaohua Zhu
- Department of Nuclear Medicine and PET Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Ave, Wuhan 430030, China.
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25
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Mazzucchi S, Del Prete E, Costagli M, Frosini D, Paoli D, Migaleddu G, Cecchi P, Donatelli G, Morganti R, Siciliano G, Cosottini M, Ceravolo R. Morphometric imaging and quantitative susceptibility mapping as complementary tools in the diagnosis of parkinsonisms. Eur J Neurol 2022; 29:2944-2955. [PMID: 35700041 PMCID: PMC9545010 DOI: 10.1111/ene.15447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 06/02/2022] [Accepted: 06/09/2022] [Indexed: 11/26/2022]
Abstract
Background and purpose In the quest for in vivo diagnostic biomarkers to discriminate Parkinson's disease (PD) from progressive supranuclear palsy (PSP) and multiple system atrophy (MSA, mainly p phenotype), many advanced magnetic resonance imaging (MRI) techniques have been studied. Morphometric indices, such as the Magnetic Resonance Parkinsonism Index (MRPI), demonstrated high diagnostic value in the comparison between PD and PSP. The potential of quantitative susceptibility mapping (QSM) was hypothesized, as increased magnetic susceptibility (Δχ) was reported in the red nucleus (RN) and medial part of the substantia nigra (SNImed) of PSP patients and in the putamen of MSA patients. However, disease‐specific susceptibility values for relevant regions of interest are yet to be identified. The aims of the study were to evaluate the diagnostic potential of a multimodal MRI protocol combining morphometric and QSM imaging in patients with determined parkinsonisms and to explore its value in a population of undetermined cases. Method Patients with suspected degenerative parkinsonism underwent clinical evaluation, 3 T brain MRI and clinical follow‐up. The MRPI was manually calculated on T1‐weighted images. QSM maps were generated from 3D multi‐echo T2*‐weighted sequences. Results In determined cases the morphometric evaluation confirmed optimal diagnostic accuracy in the comparison between PD and PSP but failed to discriminate PD from MSA‐p. Significant nigral and extranigral differences were found with QSM. RN Δχ showed excellent diagnostic accuracy in the comparison between PD and PSP and good accuracy in the comparison of PD and MSA‐p. Optimal susceptibility cut‐off values of RN and SNImed were tested in undetermined cases in addition to MRPI. Conclusions A combined use of morphometric imaging and QSM could improve the diagnostic phase of degenerative parkinsonisms.
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Affiliation(s)
- Sonia Mazzucchi
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Eleonora Del Prete
- Neurology Unit, Department of Medical Specialties, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
| | - Mauro Costagli
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Sciences (DINOGMI), University of Genoa, Genoa, Italy.,Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris Foundation, Pisa, Italy
| | - Daniela Frosini
- Neurology Unit, Department of Medical Specialties, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
| | - Davide Paoli
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Paolo Cecchi
- Neuroradiology Unit, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
| | - Graziella Donatelli
- Neuroradiology Unit, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.,Imago7 Research Foundation, Pisa, Italy
| | | | - Gabriele Siciliano
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Mirco Cosottini
- Imago7 Research Foundation, Pisa, Italy.,Neuroradiology Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Roberto Ceravolo
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.,Centre for Neurodegenerative Diseases, Parkinson's Disease and Movement Disorders, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
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26
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Ruiz ST, Bakklund RV, Håberg AK, Berntsen EM. Normative Data for Brainstem Structures, the Midbrain-to-Pons Ratio, and the Magnetic Resonance Parkinsonism Index. AJNR Am J Neuroradiol 2022; 43:707-714. [PMID: 35393362 PMCID: PMC9089261 DOI: 10.3174/ajnr.a7485] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 02/11/2022] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND PURPOSE Imaging biomarkers derived from different brainstem structures are suggested to differentiate among parkinsonian disorders, but clinical implementation requires normative data. The main objective was to establish high-quality, sex-specific data for relevant brainstem structures derived from MR imaging in healthy subjects from the general population in their sixth and seventh decades of life. MATERIALS AND METHODS 3D T1WI acquired on the same 1.5T scanner of 996 individuals (527 women) between 50 and 66 years of age from a prospective population study was used. The area of the midbrain and pons and the widths of the middle cerebellar peduncles and superior cerebellar peduncles were measured, from which the midbrain-to-pons ratio and Magnetic Resonance Parkinsonism Index [MRPI = (Pons Area / Midbrain Area) × (Middle Cerebellar Peduncles / Superior Cerebellar Peduncles)] were calculated. Sex differences in brainstem measures and correlations to age, height, weight, and body mass index were investigated. RESULTS Inter- and intrareliability for measuring the different brainstem structures showed good-to-excellent reliability (intraclass correlation coefficient = 0.785-0.988). There were significant sex differences for the pons area, width of the middle cerebellar peduncles and superior cerebellar peduncles, midbrain-to-pons ratio, and MRPI (all, P < .001; Cohen D = 0.44-0.98), but not for the midbrain area (P = .985). There were significant very weak-to-weak correlations between several of the brainstem measures and age, height, weight, and body mass index in both sexes. However, no systematic difference in distribution caused by these variables was found, and because age had the highest and most consistent correlations, age-/sex-specific percentiles for the brainstem measures were created. CONCLUSIONS We present high-quality, sex-specific data and age-/sex-specific percentiles for the mentioned brainstem measures. These normative data can be implemented in the neuroradiologic work-up of patients with suspected brainstem atrophy to avoid the risk of misdiagnosis.
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Affiliation(s)
- S T Ruiz
- From the Department of Circulation and Medical Imaging (S.T.R., R.V.B., E.M.B.)
| | - R V Bakklund
- From the Department of Circulation and Medical Imaging (S.T.R., R.V.B., E.M.B.)
| | - A K Håberg
- Faculty of Medicine and Health Sciences, and Neuromedicine and Movement Sciences (A.K.H.), Norwegian University of Science and Technology, Trondheim, Norway.,Department of Radiology and Nuclear Medicine (A.K.H., E.M.B.), St. Olavs University Hospital, Trondheim, Norway
| | - E M Berntsen
- From the Department of Circulation and Medical Imaging (S.T.R., R.V.B., E.M.B.) .,Department of Radiology and Nuclear Medicine (A.K.H., E.M.B.), St. Olavs University Hospital, Trondheim, Norway
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27
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Fang J, Lv G, Wang D, Liu R. The Distance Between the Cranial Nerve IX-X Root Entry/Exit Zone and the Pontomedullary Sulcus: MR Imaging Study in Patients With Hemifacial Spasm. Front Neurol 2022; 13:819488. [PMID: 35265027 PMCID: PMC8899112 DOI: 10.3389/fneur.2022.819488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 01/27/2022] [Indexed: 11/24/2022] Open
Abstract
Subject To quantitatively describe the distance between the cranial nerve (CN) IX-X root entry/exit zone (REZ) and the pontomedullary sulcus in patients with hemifacial spasm (HFS). Methods A total of 215 outpatients with HFS were recruited. Finally, 108 patients who yielded high-quality images were enrolled in the study. MRIs were reconstructed to measure the distance between the bilateral CN IX-X REZs and the corresponding pontomedullary sulcus. Results Among the 108 patients, the ratio of males to females was 39/69, and the mean age was 57.9 ± 6.5 years. The ratio of left to right HFS involvement was 47/61. The average height was 1.62 ± 0.07 m, and the average body mass index (BMI) was 24.65 ± 2.97 kg/m2. The distance between the cephalic end of the CN IX-X REZ and the pontomedullary sulcus was 2.7 ± 0.9 mm. The distance between the caudal end of the CN IX-X REZ and the pontomedullary sulcus was 7.6 ± 1.1 mm. No monotonic relationship was found between distance and height or BMI in the scatter diagrams. Conclusions The CN IX-X REZ is closely related to the pontomedullary sulcus in patients with HFS, and there is no difference between the left and right sides. The distances were not correlated with height or BMI in patients with HFS.
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Affiliation(s)
- Jixia Fang
- Department of Neurosurgery, Peking University People's Hospital, Beijing, China
| | - Gaoquan Lv
- Department of Radiology, Peking University People's Hospital, Beijing, China
| | - Dongliang Wang
- Department of Neurosurgery, Peking University People's Hospital, Beijing, China
| | - Ruen Liu
- Department of Neurosurgery, Peking University People's Hospital, Beijing, China
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28
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Fearon C, Rawal S, Olszewska D, Alcaide‐Leon P, Kern DS, Sharma S, Jaiswal SK, Murthy JM, Ha AD, Schwartz RS, Fung VS, Spears C, Tholanikunnel T, Almeida L, Hatano T, Oji Y, Hattori N, Shubham S, Kumar H, Bhidayasiri R, Laohathai C, Lang AE. Neuroimaging Pearls from the MDS Congress Video Challenge. Part 2: Acquired Disorders. Mov Disord Clin Pract 2022; 9:311-325. [PMID: 35402651 PMCID: PMC8974867 DOI: 10.1002/mdc3.13415] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 12/28/2021] [Accepted: 12/30/2021] [Indexed: 02/05/2023] Open
Abstract
The MDS Video Challenge continues to be the one of most widely attended sessions at the International Congress. Although the primary focus of this event is the presentation of complex and challenging cases through videos, a number of cases over the years have also presented an unusual or important neuroimaging finding related to the case. We reviewed the previous Video Challenge cases and present here a selection of those cases which incorporated such imaging findings. We have compiled these "imaging pearls" into two anthologies. The first focuses on pearls where the underlying diagnosis was a genetic condition. This second anthology focuses on imaging pearls in cases where the underlying condition was acquired. For each case we present brief clinical details along with neuroimaging findings, the characteristic imaging findings of that disorder and, finally, the differential diagnosis for the imaging findings seen.
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Affiliation(s)
- Conor Fearon
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital–UHN, Division of NeurologyUniversity of TorontoTorontoOntarioCanada
| | - Sapna Rawal
- Division of Neuroradiology, Joint Department of Medical Imaging, Toronto Western HospitalUniversity Health NetworkTorontoOntarioCanada
| | - Diana Olszewska
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital–UHN, Division of NeurologyUniversity of TorontoTorontoOntarioCanada
| | - Paula Alcaide‐Leon
- Division of Neuroradiology, Joint Department of Medical Imaging, Toronto Western HospitalUniversity Health NetworkTorontoOntarioCanada
| | - Drew S. Kern
- Department of Neurology and NeurosurgeryUniversity of Colorado School of MedicineAuroraColoradoUSA
| | - Soumya Sharma
- Department of Clinical Neurological Sciences, London Health Sciences CentreWestern UniversityLondonOntarioCanada
| | | | | | - Ainhi D. Ha
- Movement Disorders UnitWestmead HospitalWestmeadNew South WalesAustralia
| | - Raymond S. Schwartz
- Southern NeurologyKoharahNew South WalesAustralia,Sydney Medical SchoolThe University of SydneyCamperdownNew South WalesAustralia
| | - Victor S.C. Fung
- Movement Disorders UnitWestmead HospitalWestmeadNew South WalesAustralia,Sydney Medical SchoolThe University of SydneyCamperdownNew South WalesAustralia
| | - Chauncey Spears
- Department of NeurologyUniversity of MichiganAnn ArborMichiganUSA
| | - Tracy Tholanikunnel
- Department of Neurology, Normal Fixel Institute for Neurological DiseasesUniversity of FloridaGainesvilleFloridaUSA
| | - Leonardo Almeida
- Department of Neurology, Normal Fixel Institute for Neurological DiseasesUniversity of FloridaGainesvilleFloridaUSA
| | - Taku Hatano
- Department of Neurology, Faculty of Medicine, Juntendo UniversityTokyoJapan
| | - Yutaka Oji
- Department of Neurology, Faculty of Medicine, Juntendo UniversityTokyoJapan
| | - Nobutaka Hattori
- Department of Neurology, Faculty of Medicine, Juntendo UniversityTokyoJapan
| | | | | | - Roongroj Bhidayasiri
- Chulalongkorn Centre of Excellence for Parkinson's Disease & Related Disorders, Department of Medicine, Faculty of MedicineChulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross SocietyBangkokThailand,The Academy of Science, The Royal Society of ThailandBangkokThailand
| | | | - Anthony E. Lang
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital–UHN, Division of NeurologyUniversity of TorontoTorontoOntarioCanada
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29
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Alster P, Nieciecki M, Migda B, Kutyłowski M, Madetko N, Duszyńska-Wąs K, Charzyńska I, Koziorowski D, Królicki L, Friedman A. The Strengths and Obstacles in the Differential Diagnosis of Progressive Supranuclear Palsy—Parkinsonism Predominant (PSP-P) and Multiple System Atrophy (MSA) Using Magnetic Resonance Imaging (MRI) and Perfusion Single Photon Emission Computed Tomography (SPECT). Diagnostics (Basel) 2022; 12:diagnostics12020385. [PMID: 35204476 PMCID: PMC8871165 DOI: 10.3390/diagnostics12020385] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 01/28/2022] [Accepted: 01/31/2022] [Indexed: 11/16/2022] Open
Abstract
Multiple System Atrophy—Parkinsonism Predominant (MSA-P) and Progressive Supranuclear Palsy—Parkinsonism Predominant (PSP-P) are the clinical manifestations of atypical parkinsonism. Currently, there are no efficient in vivo methods available relating to neuroimaging or biochemical analysis in the examination of these entities. Among the advanced methods available, using positron emission tomography is constrained by high cost and low accessibility. In this study the authors examined patients with two types of atypical parkinsonism—MSA-P and PSP-P, which are difficult to differentiate, especially in the early years of their development. The aim of this study was to assess whether the examination of patients in the period following the early years (3–6-year duration of symptoms) could be enhanced by perfusion single photon emission computed tomography (SPECT), magnetic resonance imaging (MRI) or evaluation of cognitive abilities. Extended examination using MRI and perfusion SPECT showed that the evaluation of the mesencephalon/pons ratio, mesencephalic volume decrease, the Magnetic Resonance Parkinsonism Index (MRPI) and frontal perfusion should be considered more feasible than screening cognitive evaluation in MSA-P and PSP-P with a 3–6-year duration of symptoms.
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Affiliation(s)
- Piotr Alster
- Department of Neurology, Medical University of Warsaw, 03-242 Warsaw, Poland; (N.M.); (K.D.-W.); (D.K.); (A.F.)
- Correspondence:
| | - Michał Nieciecki
- Department of Nuclear Medicine, Children’s Memorial Health Institute, 04-730 Warsaw, Poland;
| | - Bartosz Migda
- Diagnostic Ultrasound Lab, Department of Pediatric Radiology, Medical Faculty, Medical University of Warsaw, 03-242 Warsaw, Poland;
| | - Michał Kutyłowski
- Department of Radiology, Mazovian Brodnowski Hospital, 03-242 Warsaw, Poland;
| | - Natalia Madetko
- Department of Neurology, Medical University of Warsaw, 03-242 Warsaw, Poland; (N.M.); (K.D.-W.); (D.K.); (A.F.)
| | - Karolina Duszyńska-Wąs
- Department of Neurology, Medical University of Warsaw, 03-242 Warsaw, Poland; (N.M.); (K.D.-W.); (D.K.); (A.F.)
| | - Ingeborga Charzyńska
- Department of Nuclear Medicine, Mazovian Brodno Hospital, 03-242 Warsaw, Poland; (I.C.); (L.K.)
| | - Dariusz Koziorowski
- Department of Neurology, Medical University of Warsaw, 03-242 Warsaw, Poland; (N.M.); (K.D.-W.); (D.K.); (A.F.)
| | - Leszek Królicki
- Department of Nuclear Medicine, Mazovian Brodno Hospital, 03-242 Warsaw, Poland; (I.C.); (L.K.)
- Department of Nuclear Medicine, Medical University of Warsaw, 02-097 Warsaw, Poland
| | - Andrzej Friedman
- Department of Neurology, Medical University of Warsaw, 03-242 Warsaw, Poland; (N.M.); (K.D.-W.); (D.K.); (A.F.)
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30
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Gamma camera imaging in movement disorders. Nucl Med Mol Imaging 2022. [DOI: 10.1016/b978-0-12-822960-6.00193-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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31
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Grijalva RM, Pham NTT, Huang Q, Martin PR, Ali F, Clark HM, Duffy JR, Utianski RL, Botha H, Machulda MM, Weigand SD, Ahlskog JE, Dickson DW, Josephs KA, Whitwell JL. Brainstem Biomarkers of Clinical Variant and Pathology in Progressive Supranuclear Palsy. Mov Disord 2021; 37:702-712. [PMID: 34970796 DOI: 10.1002/mds.28901] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 12/06/2021] [Accepted: 12/13/2021] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Magnetic resonance brainstem measurements are useful structural biomarkers in the Richardson's syndrome variant of progressive supranuclear palsy (PSP). However, it is unclear how these biomarkers differ across the phenotypic spectrum of PSP and how they relate to underlying pathology. OBJECTIVE The aim of this study was to compare brainstem imaging measures across clinical variants of PSP and determine sensitivity and specificity based on pathologically diagnosed cases. METHODS A total of 153 patients with PSP who represented eight clinical variants were recruited at Mayo Clinic (Rochester, MN, USA) and underwent structural magnetic resonance imaging (MRI). Midbrain and pons area and superior and middle cerebellar peduncle width measurements were performed, and midbrain/pons ratio and Magnetic Resonance Parkinsonism Index (MRPI) were calculated. Among the 43 patients who later died, PSP pathology was confirmed in 29, whereas 14 had other pathology. RESULTS Brainstem measurements varied across PSP clinical variants and were most abnormal in PSP-Richardson's syndrome and frontal variants, followed by PSP-corticobasal, PSP-speech/language, and PSP-parkinsonism variants. All these variants showed abnormalities compared with controls. The PSP-gait freezing variant and patients with prominent corticospinal tract signs showed normal brainstem measures. Among cases with confirmed PSP pathology, the midbrain area, midbrain/pons ratio, and MRPI were all more abnormal compared to those with other pathologies, with best differentiation obtained with the MRPI (sensitivity = 83%; specificity = 85%). CONCLUSIONS MRI brainstem measures show utility as diagnostic biomarkers across PSP clinical variants and have the potential to be useful in predicting underlying pathology. © 2021 International Parkinson and Movement Disorder Society.
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Affiliation(s)
| | | | - Qiao Huang
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Peter R Martin
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Farwa Ali
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Heather M Clark
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Joseph R Duffy
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Rene L Utianski
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Stephen D Weigand
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - J Eric Ahlskog
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Keith A Josephs
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
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Quek YE, Fung YL, Cheung MWL, Vogrin SJ, Collins SJ, Bowden SC. Agreement Between Automated and Manual MRI Volumetry in Alzheimer's Disease: A Systematic Review and Meta-Analysis. J Magn Reson Imaging 2021; 56:490-507. [PMID: 34964531 DOI: 10.1002/jmri.28037] [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: 10/28/2021] [Revised: 12/09/2021] [Accepted: 12/09/2021] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Automated magnetic resonance imaging (MRI) volumetry is a promising tool to evaluate regional brain volumes in dementia and especially Alzheimer's disease (AD). PURPOSE To compare automated methods and the gold standard manual segmentation in measuring regional brain volumes on MRI across healthy controls, patients with mild cognitive impairment, and patients with dementia due to AD. STUDY TYPE Systematic review and meta-analysis. DATA SOURCES MEDLINE, Embase, and PsycINFO were searched through October 2021. FIELD STRENGTH 1.0 T, 1.5 T, or 3.0 T. ASSESSMENT Two review authors independently identified studies for inclusion and extracted data. Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2). STATISTICAL TESTS Standardized mean differences (SMD; Hedges' g) were pooled using random-effects meta-analysis with robust variance estimation. Subgroup analyses were undertaken to explore potential sources of heterogeneity. Sensitivity analyses were conducted to examine the impact of the within-study correlation between effect estimates on the meta-analysis results. RESULTS Seventeen studies provided sufficient data to evaluate the hippocampus, lateral ventricles, and parahippocampal gyrus. The pooled SMD for the hippocampus, lateral ventricles, and parahippocampal gyrus were 0.22 (95% CI -0.50 to 0.93), 0.12 (95% CI -0.13 to 0.37), and -0.48 (95% CI -1.37 to 0.41), respectively. For the hippocampal data, subgroup analyses suggested that the pooled SMD was invariant across clinical diagnosis and field strength. Subgroup analyses could not be conducted on the lateral ventricles data and the parahippocampal gyrus data due to insufficient data. The results were robust to the selected within-study correlation value. DATA CONCLUSION While automated methods are generally comparable to manual segmentation for measuring hippocampal, lateral ventricle, and parahippocampal gyrus volumes, wide 95% CIs and large heterogeneity suggest that there is substantial uncontrolled variance. Thus, automated methods may be used to measure these regions in patients with AD but should be used with caution. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Yi-En Quek
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria, Australia
| | - Yi Leng Fung
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria, Australia
| | - Mike W-L Cheung
- Department of Psychology, Faculty of Arts and Social Sciences, National University of Singapore, Singapore
| | - Simon J Vogrin
- Department of Clinical Neurosciences, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Steven J Collins
- Department of Clinical Neurosciences, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Stephen C Bowden
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria, Australia.,Department of Clinical Neurosciences, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
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Diagnostic Performance of the Magnetic Resonance Parkinsonism Index in Differentiating Progressive Supranuclear Palsy from Parkinson's Disease: An Updated Systematic Review and Meta-Analysis. Diagnostics (Basel) 2021; 12:diagnostics12010012. [PMID: 35054178 PMCID: PMC8774886 DOI: 10.3390/diagnostics12010012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 12/13/2021] [Accepted: 12/20/2021] [Indexed: 12/17/2022] Open
Abstract
Progressive supranuclear palsy (PSP) and Parkinson's disease (PD) are difficult to differentiate especially in the early stages. We aimed to investigate the diagnostic performance of the magnetic resonance parkinsonism index (MRPI) in differentiating PSP from PD. A systematic literature search of PubMed-MEDLINE and EMBASE was performed to identify original articles evaluating the diagnostic performance of the MRPI in differentiating PSP from PD published up to 20 February 2021. The pooled sensitivity, specificity, and 95% CI were calculated using the bivariate random-effects model. The area under the curve (AUC) was calculated using a hierarchical summary receiver operating characteristic (HSROC) model. Meta-regression was performed to explain the effects of heterogeneity. A total of 14 original articles involving 484 PSP patients and 1243 PD patients were included. In all studies, T1-weighted images were used to calculate the MRPI. Among the 14 studies, nine studies used 3D T1-weighted images. The pooled sensitivity and specificity for the diagnostic performance of the MRPI in differentiating PSP from PD were 96% (95% CI, 87-99%) and 98% (95% CI, 91-100%), respectively. The area under the HSROC curve was 0.99 (95% CI, 0.98-1.00). Heterogeneity was present (sensitivity: I2 = 97.29%; specificity: I2 = 98.82%). Meta-regression showed the association of the magnet field strength with heterogeneity. Studies using 3 T MRI showed significantly higher sensitivity (100%) and specificity (100%) than those of studies using 1.5 T MRI (sensitivity of 98% and specificity of 97%) (p < 0.01). Thus, the MRPI could accurately differentiate PSP from PD and support the implementation of appropriate management strategies for patients with PSP.
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Pontocerebellar atrophy is the hallmark neuroradiological finding in late-onset Tay-Sachs disease. Neurol Sci 2021; 43:3273-3281. [PMID: 34800199 DOI: 10.1007/s10072-021-05757-3] [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: 07/19/2021] [Accepted: 11/15/2021] [Indexed: 10/19/2022]
Abstract
PURPOSE Late-onset Tay-Sachs disease (LOTS) is a form of GM2 gangliosidosis, an autosomal recessive neurodegenerative disorder characterized by slowly progressive cerebellar ataxia, lower motor neuron disease, and psychiatric impairment due to mutations in the HEXA gene. The aim of our work was to identify the characteristic brain MRI findings in this presumably underdiagnosed disease. METHODS Clinical data and MRI findings from 16 patients (10F/6 M) with LOTS from two centers were independently assessed by two readers and compared to 16 age- and sex-related controls. RESULTS Lower motor neuron disease (94%), psychiatric symptoms-psychosis (31%), cognitive impairment (38%) and depression (25%)-and symptoms of cerebellar impairment including dysarthria (94%), ataxia (81%) and tremor (69%), were the most common clinical features. On MRI, pontocerebellar atrophy was a constant finding. Compared to controls, LOTS patients had smaller mean middle cerebellar peduncle diameter (p < 0.0001), mean superior cerebellar peduncle diameter (p = 0.0002), mesencephalon sagittal area (p = 0.0002), pons sagittal area (p < 0.0001), and larger 4th ventricle transversal diameter (p < 0.0001). Mild corpus callosum thinning (37.5%), mild cortical atrophy (18.8%), and white matter T2 hyperintensities (12.5%) were also present. CONCLUSION Given the characteristic clinical course and MRI findings of the pontocerebellar atrophy, late-onset Tay-Sachs disease should be considered in the differential diagnosis of adult-onset cerebellar ataxias.
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Ebrahimi-Fakhari D, Alecu JE, Ziegler M, Geisel G, Jordan C, D'Amore A, Yeh RC, Akula SK, Saffari A, Prabhu SP, Sahin M, Yang E. Systematic Analysis of Brain MRI Findings in Adaptor Protein Complex 4-Associated Hereditary Spastic Paraplegia. Neurology 2021; 97:e1942-e1954. [PMID: 34544818 DOI: 10.1212/wnl.0000000000012836] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 08/23/2021] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND AND OBJECTIVES AP-4-associated hereditary spastic paraplegia (AP-4-HSP: SPG47, SPG50, SPG51, SPG52) is an emerging cause of childhood-onset hereditary spastic paraplegia and mimic of cerebral palsy. This study aims to define the spectrum of brain MRI findings in AP-4-HSP and to investigate radioclinical correlations. METHODS We performed a systematic qualitative and quantitative analysis of 107 brain MRI studies from 76 individuals with genetically confirmed AP-4-HSP and correlation with clinical findings including surrogates of disease severity. RESULTS We define AP-4-HSP as a disorder of gray and white matter and demonstrate that abnormal myelination is common and that metrics of reduced white matter volume correlate with severity of motor symptoms. We identify a common diagnostic imaging signature consisting of (1) a thin splenium of the corpus callosum, (2) an absent or thin anterior commissure, (3) characteristic signal abnormalities of the forceps minor ("ears of the grizzly sign"), and (4) periventricular white matter abnormalities. The presence of 2 or more of these findings has a sensitivity of ∼99% for detecting AP-4-HSP; the combination of all 4 is found in ∼45% of cases. Compared to other HSPs with a thin corpus callosum, the absent anterior commissure appears to be specific to AP-4-HSP. Our analysis identified a subset of patients with polymicrogyria, underscoring the role of AP-4 in early brain development. These patients displayed a higher prevalence of seizures and status epilepticus, many at a young age. DISCUSSION Our findings define the MRI spectrum of AP-4-HSP, providing opportunities for early diagnosis, identification of individuals at risk for complications, and a window into the role of the AP-4 complex in brain development and neurodegeneration.
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Affiliation(s)
- Darius Ebrahimi-Fakhari
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA.
| | - Julian E Alecu
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Marvin Ziegler
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Gregory Geisel
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Catherine Jordan
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Angelica D'Amore
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Rebecca C Yeh
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Shyam K Akula
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Afshin Saffari
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Sanjay P Prabhu
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Mustafa Sahin
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Edward Yang
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
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Sobański M, Zacharzewska-Gondek A, Waliszewska-Prosół M, Sąsiadek MJ, Zimny A, Bladowska J. A Review of Neuroimaging in Rare Neurodegenerative Diseases. Dement Geriatr Cogn Disord 2021; 49:544-556. [PMID: 33508841 DOI: 10.1159/000512543] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 10/23/2020] [Indexed: 11/19/2022] Open
Abstract
PURPOSE Due to the variety of clinical symptoms that occur in rare neurodegenerative diseases and difficulties in the correct diagnosis, there is a need to learn their characteristic imaging findings by using conventional MRI. That knowledge helps to determine the appropriate differential diagnosis and avoid misdiagnosis. The aim of this review is to present the typical neuroimaging signs of the selected neurodegenerative disorders and to create a practical approach to imaging findings useful in everyday clinical practice. Images: Images of progressive supranuclear palsy (PSP), multiple system atrophy (MSA), corticobasal degeneration (CBD), Creutzfeldt-Jakob disease (CJD), Wilson's disease (WD), and cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) are provided to visualize and distinguish the typical features of those diseases and therefore to assist neurologists and neuroradiologists in decision-making process. CONCLUSIONS It is important to know the characteristic MRI features of rare neurodegenerative diseases and to use them in everyday clinical practice. MRI is a valuable tool when considering the initial diagnosis because it is proven to be very useful in the differentiation of more advanced stages of the rare neurodegenerative diseases but also from other neurodegenerative disorders.
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Affiliation(s)
- Michał Sobański
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Wroclaw, Poland
| | - Anna Zacharzewska-Gondek
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Wroclaw, Poland,
| | | | - Marek Jan Sąsiadek
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Wroclaw, Poland
| | - Anna Zimny
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Wroclaw, Poland
| | - Joanna Bladowska
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Wroclaw, Poland
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Virhammar J, Blohmé H, Nyholm D, Georgiopoulos C, Fällmar D. Midbrain area and the hummingbird sign from brain MRI in progressive supranuclear palsy and idiopathic normal pressure hydrocephalus. J Neuroimaging 2021; 32:90-96. [PMID: 34520581 DOI: 10.1111/jon.12932] [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: 07/25/2021] [Revised: 08/27/2021] [Accepted: 08/27/2021] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND AND PURPOSE The main radiological finding in progressive supranuclear palsy (PSP) is reduced midbrain volume. Both qualitative (e.g., hummingbird sign) and quantitative (e.g., area measurements) markers have been noted. Recent studies have shown a similar reduction also in idiopathic normal pressure hydrocephalus (iNPH). The purpose was to investigate the reliability and accuracy of these markers in discriminating PSP from iNPH and controls. METHODS Eight neuroradiologists viewed sagittal MR images of the midbrain from 104 subjects: 26 PSP patients, 40 iNPH patients, and 38 healthy controls. They visually assessed whether the hummingbird sign was present or not, grading their confidence from 1 to 5. Assessments were translated into a score between +5 and -5: from maximum confidence of presence to maximum confidence of absence. A positive median score was considered to indicate hummingbird sign. Sagittal midbrain area was manually measured in each subject. RESULTS Seventy-seven percent of PSP patients, 65% of iNPH, and 3% of controls were visually assessed as having the hummingbird sign. Manually measured midbrain area also showed overlap between PSP and iNPH. Regarding discrimination of PSP patients, midbrain area measurements, using a cutoff of 90 mm2 , yielded a higher area under the curve (AUC = 0.86) than visual assessment scores (AUC = 0.83), and higher reliability. CONCLUSIONS Measuring sagittal midbrain area is more accurate and reliable than visual assessment. Due to significant overlap in appearance, a midbrain with a hummingbird sign or reduced sagittal area should raise the suspicion of PSP only after other signs of iNPH have been considered.
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Affiliation(s)
- Johan Virhammar
- Department of Neuroscience, Neurology, Uppsala University, Uppsala, Sweden
| | - Harald Blohmé
- Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden
| | - Dag Nyholm
- Department of Neuroscience, Neurology, Uppsala University, Uppsala, Sweden
| | - Charalampos Georgiopoulos
- Department of Radiology, Linköping University, Linköping, Sweden.,Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - David Fällmar
- Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden
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Caregiver strain in progressive supranuclear palsy and corticobasal syndromes. J Neural Transm (Vienna) 2021; 128:1611-1621. [PMID: 34296340 PMCID: PMC8528777 DOI: 10.1007/s00702-021-02379-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 07/01/2021] [Indexed: 12/04/2022]
Abstract
Progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS) progress relentlessly and lead to a need for care. Caregiving is often burdensome. Little is known about the course of caregiver burden (CB) in PSP and CBS patients. Longitudinal analysis of CB in family members caring for PSP and CBS patients. Single-center longitudinal pilot study in 68 newly diagnosed patients with probable PSP and CBS (52 Richardson’s syndrome; 1 progressive gait freezing of PSP; 15 CBS). Demographic, educational, occupational parameters, family status, motor functions (UPDRSIII, Hoehn and Yahr Score, Tinetti) and neuropsychological performance (CERAD Plus, Frontal Assessment Battery) were assessed, as well as behavioral and neuropsychiatric impairments (Frontal Behavioral Inventory, Neuropsychiatric Inventory), activities of daily living (ADL) and caregiver burden using the Caregiver Strain Index (CSI), in most patients also the Zarit Burden Interview (ZBI). Patients were followed up every 6 months for up to 2 years. Caregivers reported mild to moderate CB at baseline, which increased by 25–30% in 2 years and was significantly greater in PSP than in CBS. Risk for mental health problems increased over time, especially in female caregivers (depression). Important patient-related factors were apathy, aspontaneity, depression, irritability, disorganization, poor judgment, impairment of language, impairments in ADL, a high educational level of the patient and close family relationship. Behavioral symptoms and impaired ADL are the main patient-related factors of CB in PSP and CBS. CB can be severe and needs to be assessed repeatedly from the time of diagnosis to provide comprehensive support.
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Heim B, Krismer F, Seppi K. Differentiating PSP from MSA using MR planimetric measurements: a systematic review and meta-analysis. J Neural Transm (Vienna) 2021; 128:1497-1505. [PMID: 34105000 PMCID: PMC8528799 DOI: 10.1007/s00702-021-02362-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 05/31/2021] [Indexed: 10/29/2022]
Abstract
Differential diagnosis of parkinsonian syndromes is considered one of the most challenging in neurology. Quantitative MR planimetric measurements were reported to discriminate between progressive supranuclear palsy (PSP) and non-PSP-parkinsonism. Several studies have used midbrain to pons ratio (M/P) and the Magnetic Resonance Parkinsonism Index (MRPI) in distinguishing PSP patients from those with Parkinson's disease. The current meta-analysis aimed to compare the performance of these measures in discriminating PSP from multiple system atrophy (MSA). A systematic MEDLINE review identified 59 out of 2984 studies allowing a calculation of sensitivity and specificity using the MRPI or M/P. Meta-analyses of results were carried out using random effects modelling. To assess study quality and risk of bias, the QUADAS-2 tool was used. Eight studies were suitable for analysis. The meta-analysis showed a pooled sensitivity and specificity for the MRPI of PSP versus MSA of 79.2% (95% CI 72.7-84.4%) and 91.2% (95% CI 79.5-96.5%), and 84.1% (95% CI 77.2-89.2%) and 89.2% (95% CI 81.8-93.8%), respectively, for the M/P. The QUADAS-2 toolbox revealed a high risk of bias regarding the methodological quality of patient selection and index test, as all patients were seen in a specialized outpatient department without avoiding case control design and no predefined threshold was given regarding MRPI or M/P cut-offs. Planimetric brainstem measurements, in special the MRPI and M/P, yield high diagnostic accuracy for the discrimination of PSP from MSA. However, there is an urgent need for well-designed, prospective validation studies to ameliorate the concerns regarding the risk of bias.
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Affiliation(s)
- Beatrice Heim
- Department of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Florian Krismer
- Department of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
| | - Klaus Seppi
- Department of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
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Update on neuroimaging for categorization of Parkinson's disease and atypical parkinsonism. Curr Opin Neurol 2021; 34:514-524. [PMID: 34010220 DOI: 10.1097/wco.0000000000000957] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
PURPOSE OF REVIEW Differential diagnosis of Parkinsonism may be difficult. The objective of this review is to present the work of the last three years in the field of imaging for diagnostic categorization of parkinsonian syndromes focusing on progressive supranuclear palsy (PSP) and multiple system atrophy (MSA). RECENT FINDINGS Two main complementary approaches are being pursued. The first seeks to develop and validate manual qualitative or semi-quantitative imaging markers that can be easily used in clinical practice. The second is based on quantitative measurements of magnetic resonance imaging abnormalities integrated in a multimodal approach and in automatic categorization machine learning tools. SUMMARY These two complementary approaches obtained high diagnostic around 90% and above in the classical Richardson form of PSP and probable MSA. Future work will determine if these techniques can improve diagnosis in other PSP variants and early forms of the diseases when all clinical criteria are not fully met.
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Matsuura K, Ii Y, Maeda M, Tabei KI, Satoh M, Umino M, Miyashita K, Ishikawa H, Shindo A, Tomimoto H. Neuromelanin-sensitive magnetic resonance imaging in disease differentiation for parkinsonism or neurodegenerative disease affecting the basal ganglia. Parkinsonism Relat Disord 2021; 87:75-81. [PMID: 34000497 DOI: 10.1016/j.parkreldis.2021.05.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 04/05/2021] [Accepted: 05/04/2021] [Indexed: 10/21/2022]
Abstract
INTRODUCTION Several reports have shown that neuromelanin-sensitive magnetic resonance imaging (NMI) using 3T magnetic resonance imaging is useful for the differential diagnosis of Parkinson's disease (PD), progressive supranuclear palsy (PSP), and other neurological diseases. However, the number of cases in previous studies has been insufficient. We aimed to determine the relationship between NMI and severity of PD and related disorders, and thereby establish the diagnostic utility of NMI for diagnosing neurological diseases. METHODS We enrolled 591 patients (531 subjects after removal of duplicates) with parkinsonism who underwent NMI. The contrast ratio of the locus coeruleus (LC-CR) and the area of the substantia nigra pars compacta (SNc) were analyzed in each patient. RESULTS The patients' clinical diagnoses were as follows: 11 patients in the disease control group (DCG), 244 patients with PD, 49 patients with PSP, and 19 patients with multiple system atrophy with predominant parkinsonism. Additionally, some patients were diagnosed with dementia with Lewy bodies, vascular parkinsonism, and drug-induced parkinsonism. SNc in the patients with PD and PSP was significantly smaller than that in DCG. LC-CR in the patients with PD was lower than that in DCG; furthermore, LC-CR in the patients with PD was significantly lower than that in the patients with PSP. We found that an area under the receiver-operating characteristic curve, indicating diagnostic efficacy, of 0.85 for LC-CR is a promising biomarker for differentiating PD from PSP. CONCLUSION NMI effectively contributes to differentiating neurodegenerative diseases, such as PD and PSP.
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Affiliation(s)
- Keita Matsuura
- Department of Neurology, Graduate School of Medicine, Mie University, Mie, 514-8507, Japan.
| | - Yuichiro Ii
- Department of Neurology, Graduate School of Medicine, Mie University, Mie, 514-8507, Japan
| | - Masayuki Maeda
- Department of Neuroradiology, Graduate School of Medicine, Mie University, Mie, 514-8507, Japan
| | - Ken-Ichi Tabei
- Master Program of Industrial Technology, Advanced Institute of Industrial Technology, Tokyo Metropolitan Public University Corporation, Tokyo, 140-0011, Japan
| | - Masayuki Satoh
- Dementia Prevention and Therapeutics, Mie University, Mie, 514-8507, Japan
| | - Maki Umino
- Department of Radiology, Graduate School of Medicine, Mie University, Mie, 514-8507, Japan
| | - Koichi Miyashita
- Department of Neurology, Graduate School of Medicine, Mie University, Mie, 514-8507, Japan
| | - Hidehiro Ishikawa
- Department of Neurology, Graduate School of Medicine, Mie University, Mie, 514-8507, Japan
| | - Akihiro Shindo
- Department of Neurology, Graduate School of Medicine, Mie University, Mie, 514-8507, Japan
| | - Hidekazu Tomimoto
- Department of Neurology, Graduate School of Medicine, Mie University, Mie, 514-8507, Japan
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Safin SM, Derevyanko HP, Blinova NM. [Progressive supranuclear paralysis with levodopa-induced dyskinesia]. Zh Nevrol Psikhiatr Im S S Korsakova 2021; 121:110-115. [PMID: 33834727 DOI: 10.17116/jnevro2021121031110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Progressive supranuclear palsy (PNP) is a neurodegenerative disease characterized by a combination of progressive akinetic-rigid syndrome, postural instability with frequent falls, supranuclear ophthalmoplegia, pseudobulbar syndrome and frontal dementia. The disease usually develops after the sixth decade of life, and has a progressive course. An own description of the clinical case of progressive supranuclear palsy in a 79-year-old patient with oromandibular hyperkinesis while taking levodopa is presented.
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Affiliation(s)
- Sh M Safin
- Bashkir State Medical University, Ufa, Russia
| | | | - N M Blinova
- Bashkir State Medical University, Ufa, Russia
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Norioka R, Sugaya K, Murayama A, Kawazoe T, Tobisawa S, Kawata A, Takahashi K. Midbrain atrophy related to parkinsonism in a non-coding repeat expansion disorder: five cases of spinocerebellar ataxia type 31 with nigrostriatal dopaminergic dysfunction. CEREBELLUM & ATAXIAS 2021; 8:11. [PMID: 33785066 PMCID: PMC8010976 DOI: 10.1186/s40673-021-00134-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 03/18/2021] [Indexed: 02/06/2023]
Abstract
Background Spinocerebellar ataxia type 31 (SCA31) is caused by non-coding pentanucleotide repeat expansions in the BEAN1 gene. Clinically, SCA31 is characterized by late adult-onset, pure cerebellar ataxia. To explore the association between parkinsonism and SCA31, five patients with SCA31 with concomitant nigrostriatal dopaminergic dysfunction (NSDD) development, including three cases of L-DOPA responsive parkinsonism, were analyzed. Methods To assess regional brain atrophy, cross-sectional and longitudinal imaging analyses were retrospectively performed using magnetic resonance imaging (MRI) planimetry. The midbrain-to-pons (M/P) area ratio and cerebellar area were measured on midsagittal T1-weighted MRI in five patients with SCA31 with concomitant NSDD (NSDD(+)), 14 patients with SCA31 without NSDD (NSDD(−)), 32 patients with Parkinson’s disease (PD), and 15 patients with progressive supranuclear palsy (PSP). Longitudinal changes in the M/P area ratio were assessed by serial MRI of NSDD(+) (n = 5) and NSDD(−) (n = 9). Results The clinical characteristics assessed in the five patients with NSDD were as follows: the mean age at NSDD onset (72.0 ± 10.8 years), prominence of bradykinesia/akinesia (5/5), rigidity (4/5), tremor (2/5), dysautonomia (0/5), vertical gaze limitation (1/5), and abnormalities on 123I-ioflupane dopamine transporter scintigraphy (3/3) and 3-Tesla neuromelanin MRI (4/4). A clear reduction in the midbrain area and the M/P area ratio was observed in the NSDD(+) group (p < 0.05) while there was no significant difference in disease duration or in the pons area among the NSDD(+), NSDD(−), and PD groups. There was also a significant difference in the midbrain and pons area between NSDD(+) and PSP (p < 0.05). Thus, mild but significant midbrain atrophy was observed in NSDD(+). A faster rate of decline in the midbrain area and the M/P area ratio was evident in NSDD(+) (p < 0.05). Conclusion The clinical characteristics of the five patients with SCA31 with concomitant NSDD, together with the topographical pattern of atrophy, were inconsistent with PD, PSP, and multiple system atrophy, suggesting that SCA31 may manifest NSDD in association with the pathomechanisms underlying SCA31. Supplementary Information The online version contains supplementary material available at 10.1186/s40673-021-00134-4.
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Affiliation(s)
- Ryohei Norioka
- Department of Neurology, Tokyo Metropolitan Neurological Hospital, 2-6-1 Musashidai, Fuchu, Tokyo, 183-0042, Japan
| | - Keizo Sugaya
- Department of Neurology, Tokyo Metropolitan Neurological Hospital, 2-6-1 Musashidai, Fuchu, Tokyo, 183-0042, Japan.
| | - Aki Murayama
- Department of Neurology, Tokyo Metropolitan Neurological Hospital, 2-6-1 Musashidai, Fuchu, Tokyo, 183-0042, Japan
| | - Tomoya Kawazoe
- Department of Neurology, Tokyo Metropolitan Neurological Hospital, 2-6-1 Musashidai, Fuchu, Tokyo, 183-0042, Japan
| | - Shinsuke Tobisawa
- Department of Neurology, Tokyo Metropolitan Neurological Hospital, 2-6-1 Musashidai, Fuchu, Tokyo, 183-0042, Japan
| | - Akihiro Kawata
- Department of Neurology, Tokyo Metropolitan Neurological Hospital, 2-6-1 Musashidai, Fuchu, Tokyo, 183-0042, Japan
| | - Kazushi Takahashi
- Department of Neurology, Tokyo Metropolitan Neurological Hospital, 2-6-1 Musashidai, Fuchu, Tokyo, 183-0042, Japan
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Metwally MI, Basha MAA, AbdelHamid GA, Nada MG, Ali RR, Frere RAF, Elshetry ASF. Neuroanatomical MRI study: reference values for the measurements of brainstem, cerebellar vermis, and peduncles. Br J Radiol 2021; 94:20201353. [PMID: 33571018 DOI: 10.1259/bjr.20201353] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVES To set age-specific normal reference values for brainstem, cerebellar vermis, and peduncles measurements and characterize values' variations according to gender, age, and age by gender interaction. METHODS 565 normal brain magnetic resonance examinations with normal anatomy and signal intensity of the supra- and infratentorial structures were categorized into six age groups (infant, child, adolescent, young adult, middle-age adult, and old aged adults). Patients with congenital malformations, gross pathology of the supra- or infratentorial brain, brain volume loss, developmental delay, metabolic disorders, and neuropsychological disorders (n = 2.839) were excluded. On midsagittal T1 weighted and axial T2 weighted images specific linear diameters and ratios of the brainstem, cerebellar vermis, and peduncles were attained. Two observers assessed a random sample of 100 subjects to evaluate the inter- and intraobserver reproducibility. Intraclass correlation coefficients, means ± standard deviation, one and two-way analysis of variance tests were used in the statistical analysis. RESULTS Good to excellent inter- and intraobserver measurements' reproducibility were observed, except for the transverse diameter of the midbrain, the anteroposterior diameter of the medulla oblongata at the pontomedullary and cervicomedullary junctions, cerebellar vermis anteroposterior diameter, and thickness of the superior cerebellar peduncle. Age-specific mean values of the investigated measurements were established. A significant gender-related variation was recorded in the anteroposterior diameter of the basis pontis (p = 0.044), the anteroposterior diameter of the medulla oblongata at the cervicomedullary junction (p = 0.044), and cerebellar vermis height (p = 0.018). A significant age-related change was detected in all measurements except the tectal ratio. Age by gender interaction had a statistically significant effect on the tectal ratio, inferior, and middle cerebellar peduncles' thickness (p = 0.001, 0.022, and 0.028, respectively). CONCLUSION This study provides age-specific normal mean values for various linear dimensions and ratios of the posterior fossa structures with documentation of measurements' variability according to gender, age, and their interaction. ADVANCES IN KNOWLEDGE It provides a valuable reference in the clinical practice for easier differentiation between physiological and pathological conditions of the posterior fossa structures especially various neurodegenerative diseases and congenital anomalies.
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Affiliation(s)
| | | | | | - Mohamad Gamal Nada
- Department of Radio-diagnosis, Zagazig University, Zagazig, AlSharkia, Egypt
| | - Reham Ramadan Ali
- Department of Radio-diagnosis, Zagazig University, Zagazig, AlSharkia, Egypt
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Kannenberg S, Caspers J, Dinkelbach L, Moldovan AS, Ferrea S, Südmeyer M, Butz M, Schnitzler A, Hartmann CJ. Investigating the 1-year decline in midbrain-to-pons ratio in the differential diagnosis of PSP and IPD. J Neurol 2020; 268:1526-1532. [PMID: 33277666 PMCID: PMC7990839 DOI: 10.1007/s00415-020-10327-2] [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: 06/18/2020] [Revised: 11/10/2020] [Accepted: 11/19/2020] [Indexed: 11/03/2022]
Abstract
Background A reliable measure of PSP-specific midbrain atrophy, the midbrain-to-pons ratio (MTPR) has been reported to support the differential diagnosis of progressive supranuclear palsy (PSP) from idiopathic Parkinson’s disease (IPD). Since longitudinal analyses are lacking so far, the present study aimed to evaluate the diagnostic value of the relative change of MTPR (relΔt_MTPR) over a 1-year period in patients with PSP, IPD, and healthy controls (HC). Methods Midsagittal individual MRIs of patients with PSP (n = 15), IPD (n = 15), and healthy controls (HC; n = 15) were assessed and the MTPR at baseline and after 1 year were defined. The diagnostic accuracy of the MTPR and its relative change were evaluated using ROC curve analyses. Results PSP-patients had a significantly lower MTPR at baseline (M = 0.45 ± 0.06), compared to both non-PSP groups (F (2, 41) = 62.82, p < 0.001), with an overall predictive accuracy of 95.6% for an MTPR ≤ 0.54. PSP-patients also presented a significantly stronger 1-year decline in MTPR compared to IPD (p < 0.001). Though predictive accuracy of relΔt_MTPR for PSP (M = − 4.74% ± 4.48) from IPD (M = + 1.29 ± 3.77) was good (76.6%), ROC analysis did not reveal a significant improvement of diagnostic accuracy by combining the MTPR and relΔt_MTPR (p = 0.670). Still, specificity for PSP increased, though not significantly (p = 0.500). Conclusion The present results indicate that the relΔt_MTPR is a potentially useful tool to support the differential diagnosis of PSP from IPD. For its relative 1-year change, still, more evaluation is needed.
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Affiliation(s)
- Silja Kannenberg
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Universitätsstraße 1, 40225, Düsseldorf, Germany
| | - Julian Caspers
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Hospital Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
| | - Lars Dinkelbach
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Universitätsstraße 1, 40225, Düsseldorf, Germany
| | - Alexia-S Moldovan
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Universitätsstraße 1, 40225, Düsseldorf, Germany.,Department of Neurology, Medical Faculty, University Hospital Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Stefano Ferrea
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Universitätsstraße 1, 40225, Düsseldorf, Germany
| | - Martin Südmeyer
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Universitätsstraße 1, 40225, Düsseldorf, Germany.,Department of Neurology, Ernst Von Bergmann Hospital, Charlottenstraße 72, 14467, Potsdam, Germany
| | - Markus Butz
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Universitätsstraße 1, 40225, Düsseldorf, Germany
| | - Alfons Schnitzler
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Universitätsstraße 1, 40225, Düsseldorf, Germany
| | - Christian J Hartmann
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Universitätsstraße 1, 40225, Düsseldorf, Germany.,Department of Neurology, Medical Faculty, University Hospital Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
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Diagnostic Performance of 123I-FPCIT SPECT Specific Binding Ratio in Progressive Supranuclear Palsy: Use of Core Clinical Features and MRI for Comparison. AJR Am J Roentgenol 2020; 215:1443-1448. [PMID: 33021833 DOI: 10.2214/ajr.19.22436] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE. Progressive supranuclear palsy (PSP) is listed as a core clinical feature in the Movement Disorder Society 2017 criteria, along with ocular motor dysfunction, postural instability, akinesia, and cognitive dysfunction. Imaging evidence shows predominant mid-brain atrophy and postsynaptic striatal dopaminergic degeneration as two supportive features. The purpose of this study was to investigate the diagnostic performance of 123I-N- ω-fluoropropyl-2β-carbomethoxy-3β-(4-iodophenyl) nortropane (123I-FP-CIT) SPECT by comparing it with evaluation of core clinical features and MRI in the diagnosis of PSP. MATERIALS AND METHODS. The study included 53 patients with clinically suspected PSP who had undergone 123I-FP-CIT SPECT and MRI examinations. MR parkinsonism index (MRPI) was used as the MRI index. For the 123I-FP-CIT SPECT index, specific binding ratio (SBR) was calculated as the average of the right and left SBRs. RESULTS. In regard to core clinical features, ocular motor dysfunction was present in 15 of 20 (75.0%) patients with the diagnosis of probable PSP (p < 0.0001). Calculation of the diagnostic performance of the imaging parameters showed that MRPI (cutoff > 11.6) had 85.0% sensitivity, 100% specificity, and 94.3% accuracy. SBR (cutoff < 3.7) had 95.0% sensitivity, 36.4% specificity, and 58.5% accuracy. CONCLUSION. Iodine-123-labeled FP-CIT SPECT has high sensitivity, and MRI has high specificity in the diagnosis of PSP. Because these tools have complementary roles, reach ing a more confident clinical diagnosis of PSP may be possible when both are used.
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Sjöström H, Granberg T, Hashim F, Westman E, Svenningsson P. Automated brainstem volumetry can aid in the diagnostics of parkinsonian disorders. Parkinsonism Relat Disord 2020; 79:18-25. [DOI: 10.1016/j.parkreldis.2020.08.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Revised: 06/30/2020] [Accepted: 08/04/2020] [Indexed: 12/14/2022]
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Reimão S, Guerreiro C, Seppi K, Ferreira JJ, Poewe W. A Standardized MR Imaging Protocol for Parkinsonism. Mov Disord 2020; 35:1745-1750. [PMID: 32914459 DOI: 10.1002/mds.28204] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 06/08/2020] [Accepted: 06/15/2020] [Indexed: 12/11/2022] Open
Affiliation(s)
- Sofia Reimão
- Neuroimaging Department, Hospital de Santa Maria, Centro Hospitalar Lisboa Norte, Lisbon, Portugal.,Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.,Laboratory of Clinical Pharmacology and Therapeutics, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Carla Guerreiro
- Neuroimaging Department, Hospital de Santa Maria, Centro Hospitalar Lisboa Norte, Lisbon, Portugal.,Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.,Laboratory of Clinical Pharmacology and Therapeutics, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Klaus Seppi
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Joaquim J Ferreira
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.,Laboratory of Clinical Pharmacology and Therapeutics, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.,CNS - Campus Neurológico Sénior, Torres Vedras, Portugal
| | - Werner Poewe
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
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Chougar L, Pyatigorskaya N, Degos B, Grabli D, Lehéricy S. The Role of Magnetic Resonance Imaging for the Diagnosis of Atypical Parkinsonism. Front Neurol 2020; 11:665. [PMID: 32765399 PMCID: PMC7380089 DOI: 10.3389/fneur.2020.00665] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 06/03/2020] [Indexed: 12/14/2022] Open
Abstract
The diagnosis of Parkinson's disease and atypical Parkinsonism remains clinically difficult, especially at the early stage of the disease, since there is a significant overlap of symptoms. Multimodal MRI has significantly improved diagnostic accuracy and understanding of the pathophysiology of Parkinsonian disorders. Structural and quantitative MRI sequences provide biomarkers sensitive to different tissue properties that detect abnormalities specific to each disease and contribute to the diagnosis. Machine learning techniques using these MRI biomarkers can effectively differentiate atypical Parkinsonian syndromes. Such approaches could be implemented in a clinical environment and improve the management of Parkinsonian patients. This review presents different structural and quantitative MRI techniques, their contribution to the differential diagnosis of atypical Parkinsonian disorders and their interest for individual-level diagnosis.
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Affiliation(s)
- Lydia Chougar
- Institut du Cerveau et de la Moelle épinière-ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, UPMC Univ Paris 06, UMRS 1127, CNRS UMR 7225, Paris, France.,ICM, "Movement Investigations and Therapeutics" Team (MOV'IT), Paris, France.,ICM, Centre de NeuroImagerie de Recherche-CENIR, Paris, France.,Service de Neuroradiologie, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Nadya Pyatigorskaya
- Institut du Cerveau et de la Moelle épinière-ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, UPMC Univ Paris 06, UMRS 1127, CNRS UMR 7225, Paris, France.,ICM, "Movement Investigations and Therapeutics" Team (MOV'IT), Paris, France.,ICM, Centre de NeuroImagerie de Recherche-CENIR, Paris, France.,Service de Neuroradiologie, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Bertrand Degos
- Dynamics and Pathophysiology of Neuronal Networks Team, Center for Interdisciplinary Research in Biology, Collège de France, CNRS UMR7241/INSERM U1050, MemoLife Labex, Paris, France.,Department of Neurology, Avicenne University Hospital, Sorbonne Paris Nord University, Bobigny, France
| | - David Grabli
- Département des Maladies du Système Nerveux, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Stéphane Lehéricy
- Institut du Cerveau et de la Moelle épinière-ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, UPMC Univ Paris 06, UMRS 1127, CNRS UMR 7225, Paris, France.,ICM, "Movement Investigations and Therapeutics" Team (MOV'IT), Paris, France.,ICM, Centre de NeuroImagerie de Recherche-CENIR, Paris, France.,Service de Neuroradiologie, Hôpital Pitié-Salpêtrière, APHP, Paris, France
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50
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Dovjak GO, Diogo MC, Brugger PC, Gruber GM, Weber M, Glatter S, Seidl R, Bettelheim D, Prayer D, Kasprian GJ. Quantitative fetal magnetic resonance imaging assessment of cystic posterior fossa malformations. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2020; 56:78-85. [PMID: 31595598 PMCID: PMC7384051 DOI: 10.1002/uog.21890] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 09/18/2019] [Accepted: 09/19/2019] [Indexed: 05/05/2023]
Abstract
OBJECTIVE Normal cognitive development usually requires a structurally intact and complete cerebellar vermis. The aim of this study was to evaluate whether quantification by fetal magnetic resonance imaging (MRI) of vermis- and brainstem-specific imaging markers improves the definition of cystic posterior fossa malformations (cPFM). METHODS Fetuses diagnosed with cPFM that had an available midsagittal plane on T2-weighted MRI were identified retrospectively and compared with gestational-age (GA) matched brain-normal controls. Fetuses with cPFM were assigned to three groups, according to standard criteria (vermian size and brainstem-vermis (BV) angle): normal vermian area and BV angle < 25° (Group 1); reduced vermian area and/or BV angle of 25-45° (Group 2); and reduced vermian area and BV angle > 45° (Group 3; Dandy-Walker malformation (DWM) group). The number of differentiable vermian lobules and the areas of the vermis, mesencephalon, pons and medulla oblongata were quantified, correlated with and controlled for GA, and compared between the study groups. RESULTS In total, 142 cases of cPFM were included, with a mean GA of 25.20 ± 5.11 weeks. Cases comprised Blake's pouch cyst (n = 46), arachnoid cyst (n = 12), inferior vermian hypoplasia (n = 5), megacisterna magna (n = 35) and classic DWM (n = 44). In the control group, 148 fetuses were included, with a mean GA of 25.26 ± 4.12 weeks. All quantified areas and the number of differentiable vermian lobules had a significant positive correlation with GA. The number of vermian lobules and the areas of all quantified regions, except for that of the medulla oblongata, differed significantly between the study groups (P ≤ 0.015 for all). The control group had the highest number of differentiable vermian lobules and the DWM group had the lowest (P < 0.01). CONCLUSIONS Prenatal MRI assessment of vermian lobules is a useful addition to standard neuroradiological and neurosonographic techniques. The quantification of vermian lobules using fetal MRI allows further differentiation of cPFM into subgroups and thereby improves the classification of hindbrain malformations. © 2019 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of the International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- G. O. Dovjak
- Department of Biomedical Imaging and Image‐Guided TherapyMedical University of ViennaViennaAustria
| | - M. C. Diogo
- Department of Biomedical Imaging and Image‐Guided TherapyMedical University of ViennaViennaAustria
| | - P. C. Brugger
- Department of Anatomy and BiomechanicsKarl Landsteiner University of Health SciencesKremsAustria
| | - G. M. Gruber
- Department of Anatomy and BiomechanicsKarl Landsteiner University of Health SciencesKremsAustria
| | - M. Weber
- Department of Biomedical Imaging and Image‐Guided TherapyMedical University of ViennaViennaAustria
| | - S. Glatter
- Department of Pediatrics and Adolescent MedicineMedical University of ViennaViennaAustria
| | - R. Seidl
- Department of Pediatrics and Adolescent MedicineMedical University of ViennaViennaAustria
| | - D. Bettelheim
- Department of Obstetrics and Feto‐Maternal MedicineMedical University of ViennaViennaAustria
| | - D. Prayer
- Department of Biomedical Imaging and Image‐Guided TherapyMedical University of ViennaViennaAustria
| | - G. J. Kasprian
- Department of Biomedical Imaging and Image‐Guided TherapyMedical University of ViennaViennaAustria
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