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Halmela A, Saari E, Raitanen J, Koivisto T, Auvinen A, Frösen J. Trends in the incidence of newly diagnosed cerebral cavernous malformations in Finland: a population-based retrospective cohort study. THE LANCET REGIONAL HEALTH. EUROPE 2024; 46:101072. [PMID: 39399443 PMCID: PMC11470181 DOI: 10.1016/j.lanepe.2024.101072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 08/26/2024] [Accepted: 09/03/2024] [Indexed: 10/15/2024]
Abstract
Background The few previous studies that have estimated the incidence of cerebral cavernous malformations (cavernomas) have reported incidence rates of 0.2-1.9/100,000 for diagnosed cavernomas. Our aim was to describe incidence trends of cavernomas by clinical presentation. Methods We conducted a retrospective cohort study of cavernomas diagnosed at two university hospitals in Finland (Kuopio University Hospital, KUH and Tampere University Hospital, TAUH). Cavernoma diagnoses during 2004-2020 were identified from the KUH and TAUH Care registry databases and verified from medical records and diagnostic imaging studies. We calculated the age-standardized incidence rates using the European standard population and analysed incidence trend and changes in trend by sex, age group, and calendar year using Poisson regression. Findings A total of 669 cavernoma diagnoses were identified during 2004-2020 in the combined KUH and TAUH population. The age-standardized incidence rate was 2.01/100,000 (95% confidence interval (CI) 1.85-2.16) for all cavernoma diagnoses, 1.25/100,000 (1.13-1.37) for asymptomatic, 0.75/100,000 (0.66-0.85) for symptomatic, and 0.46/100,000 (0.39-0.53) for ruptured cavernomas. No significant difference in the incidence of cavernoma diagnoses was seen between the KUH and TAUH populations or between the sexes. Incidence of cavernomas was highest at ages 40-59 years and low in those under 20 or over 80 years of age. Incidence of diagnosed cavernomas, especially asymptomatic, increased during the study period. Interpretation In our population-based study, incidence of cavernomas was higher than previously reported and increased during the study period. The burden imposed by cavernomas on healthcare system is considerable and increasing. Funding The Research Council of Finland, Kuopio University Hospital, Tampere University Hospital, and Wellbeing services county of Pirkanmaa.
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Affiliation(s)
- Aleksi Halmela
- Dept of Epidemiology, Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Emilia Saari
- Hemorrhagic Brain Pathology Research Group, Tampere University, Tampere, Finland
| | - Jani Raitanen
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland
- UKK Institute for Health Promotion, Tampere, Finland
| | - Timo Koivisto
- Dept of Neurosurgery, Kuopio University Hospital, Kuopio, Finland
| | - Anssi Auvinen
- Dept of Epidemiology, Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Juhana Frösen
- Hemorrhagic Brain Pathology Research Group, Tampere University, Tampere, Finland
- Dept of Neurosurgery, Tampere University Hospital, Tampere, Finland
- Tays Research Services, Wellbeing Services County of Pirkanmaa, Tampere University Hospital, Tampere, Finland
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Näslund O, Strand PS, Solheim O, Al Masri M, Rapi O, Thurin E, Jakola AS. Incidence, management, and outcome of incidental meningioma: what has happened in 10 years? J Neurooncol 2023; 165:291-299. [PMID: 37938444 PMCID: PMC10689551 DOI: 10.1007/s11060-023-04482-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 10/17/2023] [Indexed: 11/09/2023]
Abstract
PURPOSE The aim of this study was to study the use of brain scanning, and the subsequent findings of presumed incidental meningioma in two time periods, and to study differences in follow-up, treatment, and outcome. METHODS Records of all performed CT and MRI of the brain during two time periods were retrospectively reviewed in search of patients with presumed incidental meningioma. These patients were further analyzed using medical health records, with the purpose to study clinical handling and outcome during a 3 year follow up. RESULTS An identical number of unique patients underwent brain imaging during the two time periods (n = 22 259 vs. 22 013). In 2018-2019, 25% more incidental meningiomas were diagnosed compared to 2008-2009 (n = 161 vs. 129, p = 0.052). MRI was used more often in 2018-2019 (26.1 vs. 12.4%, p = 0.004), and the use of contrast enhancement, irrespective of modality, also increased (26.8 vs. 12.2%, p < 0.001). In the most recent cohort, patients were older (median 79 years vs. 73 years, p = 0.03). Indications showed a significant increase of cancer without known metastases among scanned patients. 29.5 and 35.4% of patients in the cohorts were deceased 3 years after diagnosis for causes unrelated to their meningioma. CONCLUSIONS Despite the same number of unique patients undergoing brain scans in the time periods, there was a trend towards more patients diagnosed with an incidental asymptomatic meningioma in the more recent years. This difference may be attributed to more contrast enhanced scans and more scans among the elderly but needs to be further studied. Patients in the cohort from 2018 to 2019 more often had non-metastatic cancer, with their cause of scan screening for metastases. There was no significant difference in management decision at diagnosis, but within 3 years of follow up significantly more patients in the latter cohort had been re-scanned. Almost a third of all patients were deceased within 3 years after diagnosis, due to causes other than their meningioma.
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Affiliation(s)
- Olivia Näslund
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
- Department of Surgery, Sahlgrenska University Hospital, Östra, Gothenburg, Sweden.
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, Blå stråket 7, 41345, Gothenburg, Sweden.
| | - Per Sveino Strand
- Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ole Solheim
- Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Mohammad Al Masri
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Okizeva Rapi
- Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Erik Thurin
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Asgeir S Jakola
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg, Sweden
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Pineyro MM, Sosa N, Rivero F, Tripodi D, Negrotto M, Lima R. Strikingly low prevalence of pituitary incidentalomas in a teaching hospital in Uruguay. Front Endocrinol (Lausanne) 2023; 14:1254180. [PMID: 37829684 PMCID: PMC10565029 DOI: 10.3389/fendo.2023.1254180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 09/07/2023] [Indexed: 10/14/2023] Open
Abstract
Background Pituitary incidentalomas are an occurrence documented in 10.6% of post-mortem examinations, 4%-20% of computed tomography (CT) scans, and 10%-38% of magnetic resonance imaging (MRI) cases, primarily consisting of microincidentalomas (<1 cm in size). However, the prevalence of pituitary incidentalomas in Uruguay remains unexplored. This study aimed to ascertain the prevalence of pituitary incidentalomas at our hospital. Methods In this investigation, we retrospectively identified patients who underwent brain CT and MRI at our hospital over a 1-year span due to conditions other than suspected or known pituitary disorders. The time frame covered was from 1 January to 31 December 2017. Our analysis encompassed all scans, and we conducted interviews with patients discovered to have pituitary incidentalomas. Furthermore, we conducted biochemical assessments in accordance with clinical and imaging traits. Results During the study period, a total of 3,894 patients underwent imaging procedures. Of these, 1,146 patients underwent MRI scans, and 2,748 underwent CT scans. The mean age was 53.1 ± 19 years, with a relatively even distribution between genders (50.6% women). The majority of imaging requisitions originated from the emergency department (43%), followed by outpatient clinics (29%), and inpatient wards (28%). Common reasons for imaging requests included trauma (20.4%), headaches (11.3%), and stroke (10.9%). Among these cases, two pituitary incidentalomas were detected, resulting in a prevalence of 5 cases per 10,000 individuals annually (0.051%). Both of these cases were initially identified through CT scans, with subsequent MRI scans performed for further assessment. The final diagnoses were a vascular aneurysm and a sellar meningioma, with the latter patient also exhibiting secondary hypothyroidism. Notably, no instances of pituitary adenomas were encountered. Conclusions The prevalence of pituitary incidentalomas within our hospital was notably low. Further research is necessary to more comprehensively investigate the occurrence of pituitary incidentalomas in our country.
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Affiliation(s)
- Maria M. Pineyro
- Clínica de Endocrinología y Metabolismo, Hospital de Clínicas, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
| | - Natalia Sosa
- Clínica de Endocrinología y Metabolismo, Hospital de Clínicas, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
| | - Florencia Rivero
- Clínica de Endocrinología y Metabolismo, Hospital de Clínicas, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
| | - Diego Tripodi
- Departamento Clínico de Imagenología, Hospital de Clínicas, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
| | - Matias Negrotto
- Departamento Clínico de Imagenología, Hospital de Clínicas, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
| | - Ramiro Lima
- Neurocirugía, Hospital de Clínicas, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
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Gillespie CS, Alnaham KE, Richardson GE, Mustafa MA, Taweel BA, Islim AI, Hannan CJ, Chavredakis E. Predictors of future haemorrhage from cerebral cavernous malformations: a retrospective cohort study. Neurosurg Rev 2023; 46:52. [PMID: 36763222 PMCID: PMC9918566 DOI: 10.1007/s10143-023-01949-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 12/17/2022] [Accepted: 01/20/2023] [Indexed: 02/11/2023]
Abstract
Cerebral cavernous malformations (CCMs) are commonly diagnosed, with a low reported rate of haemorrhage on long-term follow-up. The identification of factors predictive of future haemorrhage risk would assist in guiding the management of patients with CCM. The aim of this study was to identify variables associated with haemorrhage, and calculate haemorrhage risk in CCM. We conducted a retrospective study of patients diagnosed with a CCM, managed at a specialist tertiary neuroscience centre (2007-2019). The primary outcome was symptomatic haemorrhage, and secondary outcomes were variables associated with increased risk of haemorrhage, using multivariable Cox regression analysis. Included were 545 patients, with 734 confirmed cavernomas. Median age at diagnosis was 47 (interquartile range [IQR] 35-60), with a median follow-up duration after diagnosis of 46 months (IQR 19-85). Of the patients, 15.0% had multiple lesions (N = 82/545). Symptomatic presentation was observed in 52.5% of patients (N = 286/545). The annual haemorrhage rate was 1.00% per lesion-year (25 events in 2512 lesion-years), and higher in those with symptoms at presentation (1.50% per lesion-year, 22 events vs 0.29%, 3 events, P < 0.001). The variables associated with symptomatic haemorrhage were increased size (hazard ratio [HR] 1.04, 95% confidence interval [CI] 1.01-1.07, P = 0.004), eloquent location (HR 2.63, 95% CI 1.12-6.16, P = 0.026), and symptomatic haemorrhage at presentation (HR 5.37, 95% CI 2.40-11.99, P < 0.001). This study demonstrated that CCMs have a low haemorrhage rate. Increased size, eloquent location, and haemorrhage at presentation appear to be predictive of a higher risk of haemorrhage, and could be used to stratify management protocols.
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Affiliation(s)
- Conor S Gillespie
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, L69 7BE, UK.
- The Walton Centre NHS Foundation Trust, Liverpool, UK.
| | | | - George E Richardson
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, L69 7BE, UK
- The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Mohammad A Mustafa
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, L69 7BE, UK
- The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Basel A Taweel
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, L69 7BE, UK
- The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Abdurrahman I Islim
- The Walton Centre NHS Foundation Trust, Liverpool, UK
- Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Cathal John Hannan
- The Walton Centre NHS Foundation Trust, Liverpool, UK
- Academic Health Science Centre, University of Manchester, Manchester, UK
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Wangaryattawanich P, Rutman AM, Petcharunpaisan S, Mossa-Basha M. Incidental findings on brain magnetic resonance imaging (MRI) in adults: a review of imaging spectrum, clinical significance, and management. Br J Radiol 2023; 96:20220108. [PMID: 35522780 PMCID: PMC9975529 DOI: 10.1259/bjr.20220108] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 04/19/2022] [Accepted: 04/29/2022] [Indexed: 01/27/2023] Open
Abstract
Utilization of brain MRI has dramatically increased in recent decades due to rapid advancement in imaging technology and improving accessibility. As a result, radiologists increasingly encounter findings incidentally discovered on brain MRIs which are performed for unrelated indications. Some of these findings are clinically significant, necessitating further investigation or treatment and resulting in increased costs to healthcare systems as well as increased patient anxiety. Moreover, management of these incidental findings poses a significant challenge for referring physicians. Therefore, it is important for interpreting radiologists to know the prevalence, clinical consequences, and appropriate management of these findings. There is a wide spectrum of incidental findings on brain MRI such as asymptomatic brain infarct, age-related white matter changes, microhemorrhages, intracranial tumors, intracranial cystic lesions, and anatomic variants. This article provides a narrative review of important incidental findings encountered on brain MRI in adults with a focus on prevalence, clinical implications, and recommendations on management of these findings based on current available data.
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Affiliation(s)
| | | | | | - Mahmud Mossa-Basha
- Department of Radiology, University of North Carolina, Chapel Hill, NC, United States
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Tahara S, Hattori Y, Suzuki K, Ishisaka E, Teramoto S, Morita A. An Overview of Pituitary Incidentalomas: Diagnosis, Clinical Features, and Management. Cancers (Basel) 2022; 14:cancers14174324. [PMID: 36077858 PMCID: PMC9454484 DOI: 10.3390/cancers14174324] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 08/30/2022] [Accepted: 08/31/2022] [Indexed: 11/21/2022] Open
Abstract
Simple Summary A pituitary incidentaloma is a pituitary tumor or mass that is incidentally discovered in imaging studies which have been performed for reasons other than the symptoms of pituitary lesions. The majority of pituitary incidentalomas are pituitary neuroendocrine tumors (PitNETs) and Rathke cleft cysts. PitNETs have received attention because of their distinction from pituitary adenoma in the new World Health Organization (WHO) classification. The natural history of PitNETs is partially known, and the management of pituitary incidentalomas has been determined based on this history; however, the pathology of PitNETs has significantly changed with the new WHO classification, and studies with a high level of evidence are required to consider treatment guidelines for pituitary incidentalomas. Abstract Pituitary incidentalomas are tumors or mass lesions of the pituitary gland. These are incidentally discovered during imaging studies for symptoms that are not causally related to pituitary diseases. The most common symptom that triggers an examination is headache, and the most common type of pituitary incidentalomas are pituitary neuroendocrine tumors (PitNETs) and Rathke cleft cysts. The existing treatment strategy is controversial; however, surgical resection is recommended in cases of clinically non-functioning PitNETs with optic chiasm compression. In contrast, cystic lesions, such as Rathke cleft cysts, should be followed if the patients are asymptomatic. In this case, MRI and pituitary function tests are recommended every six months to one year; if there is no change, the follow-up period should be extended. The natural history of PitNET is partially known, and the management of pituitary incidentalomas is determined by this history. However, the pathogenesis of PitNET has significantly changed with the new World Health Organization classification, and follow-up is important based on this new classification. Therefore, a high level of evidence-based research is needed to consider treatment guidelines for pituitary incidentalomas in the future.
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Affiliation(s)
- Shigeyuki Tahara
- Department of Neurological Surgery, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-ku, Tokyo 113-8603, Japan
- Correspondence:
| | - Yujiro Hattori
- Department of Neurological Surgery, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-ku, Tokyo 113-8603, Japan
- Department of Anatomy and Neurobiology, Graduate School of Medicine, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-ku, Tokyo 113-8602, Japan
| | - Koji Suzuki
- Department of Neurological Surgery, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-ku, Tokyo 113-8603, Japan
| | - Eitaro Ishisaka
- Department of Neurological Surgery, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-ku, Tokyo 113-8603, Japan
| | - Shinichiro Teramoto
- Department of Neurosurgery, Juntendo University School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo 113-8431, Japan
| | - Akio Morita
- Department of Neurological Surgery, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-ku, Tokyo 113-8603, Japan
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Francis CM, Futschik ME, Huang J, Bai W, Sargurupremraj M, Teumer A, Breteler MMB, Petretto E, Ho ASR, Amouyel P, Engelter ST, Bülow R, Völker U, Völzke H, Dörr M, Imtiaz MA, Aziz NA, Lohner V, Ware JS, Debette S, Elliott P, Dehghan A, Matthews PM. Genome-wide associations of aortic distensibility suggest causality for aortic aneurysms and brain white matter hyperintensities. Nat Commun 2022; 13:4505. [PMID: 35922433 PMCID: PMC9349177 DOI: 10.1038/s41467-022-32219-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 07/20/2022] [Indexed: 12/13/2022] Open
Abstract
Aortic dimensions and distensibility are key risk factors for aortic aneurysms and dissections, as well as for other cardiovascular and cerebrovascular diseases. We present genome-wide associations of ascending and descending aortic distensibility and area derived from cardiac magnetic resonance imaging (MRI) data of up to 32,590 Caucasian individuals in UK Biobank. We identify 102 loci (including 27 novel associations) tagging genes related to cardiovascular development, extracellular matrix production, smooth muscle cell contraction and heritable aortic diseases. Functional analyses highlight four signalling pathways associated with aortic distensibility (TGF-β, IGF, VEGF and PDGF). We identify distinct sex-specific associations with aortic traits. We develop co-expression networks associated with aortic traits and apply phenome-wide Mendelian randomization (MR-PheWAS), generating evidence for a causal role for aortic distensibility in development of aortic aneurysms. Multivariable MR suggests a causal relationship between aortic distensibility and cerebral white matter hyperintensities, mechanistically linking aortic traits and brain small vessel disease.
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Affiliation(s)
- Catherine M Francis
- National Heart and Lung Institute, Imperial College London, Programme in Cardiovascular Genetics and Genomics, London, UK
- Royal Brompton & Harefield Hospitals, Guy's and St. Thomas' NHS Foundation Trust, London, SW3 6NP, UK
| | - Matthias E Futschik
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- MRC London Institute of Medical Sciences (LMS), Imperial College London, London, W12 0NN, UK
| | - Jian Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Wenjia Bai
- Department of Brain Sciences, Imperial College London, London, UK
- Department of Computing, Imperial College London, London, UK
| | - Muralidharan Sargurupremraj
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, 78229, USA
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, Bialystok, Poland
| | - Monique M B Breteler
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Enrico Petretto
- Programme in Cardiovascular & Metabolic Disorders and Centre for Computational Biology, Duke-NUS Medical School, Singapore, 169857, Republic of Singapore
- Institute of Big Data and Artificial Intelligence, China Pharmaceutical University (CPU), 211198, Nanjing, China
- Computational Biology Programme, Faculty of Science, National University of Singapore, Singapore, Singapore
| | - Amanda S R Ho
- Computational Biology Programme, Faculty of Science, National University of Singapore, Singapore, Singapore
| | - Philippe Amouyel
- LabEx DISTALZ-U1167, RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, University of Lille, Lille, France
- Inserm, U1167, Lille, France
- Centre Hospitalier Universitaire Lille, Lille, France
- Institut Pasteur de Lille, Lille, France
| | - Stefan T Engelter
- Department of Neurology and Stroke Center, University Hospital and University of Basel, Petersgraben 4, CH - 4031, Basel, Switzerland
- Department of Clinical Neurology and Neurorehabilitation, University Department of Geriatric Medicine FELIX PLATTER, University of Basel, Basel, Switzerland
| | - Robin Bülow
- Department of Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Uwe Völker
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
| | - Marcus Dörr
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Mohammed-Aslam Imtiaz
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - N Ahmad Aziz
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Valerie Lohner
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - James S Ware
- National Heart and Lung Institute, Imperial College London, Programme in Cardiovascular Genetics and Genomics, London, UK
- Royal Brompton & Harefield Hospitals, Guy's and St. Thomas' NHS Foundation Trust, London, SW3 6NP, UK
- MRC London Institute of Medical Sciences (LMS), Imperial College London, London, W12 0NN, UK
| | - Stephanie Debette
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
- Department of Neurology, Institute for Neurodegenerative Diseases, Bordeaux University Hospital - CHU Bordeaux, 33000, Bordeaux, France
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- UK Dementia Research Institute at Imperial College London, London, UK
- Health Data Research (HDR) UK London at Imperial College London, London, UK
- Britsh Heart Foundation Centre of Research Excellence at Imperial College London, London, UK
- National Institute for Health Research Imperial Biomedical Research Centre, Imperial College London, London, UK
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Abbas Dehghan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
- UK Dementia Research Institute at Imperial College London, London, UK.
| | - Paul M Matthews
- Department of Brain Sciences, Imperial College London, London, UK.
- UK Dementia Research Institute at Imperial College London, London, UK.
- National Institute for Health Research Imperial Biomedical Research Centre, Imperial College London, London, UK.
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Meinel TR, Roten L, Wardlaw J, Fischer U. Letter by Meinel et al. regarding article, "Incidental findings on 3 T neuroimaging: cross‑sectional observations from the population‑based Rhineland Study". Neuroradiology 2022; 64:429-430. [PMID: 34997856 DOI: 10.1007/s00234-022-02893-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 01/03/2022] [Indexed: 10/19/2022]
Affiliation(s)
- Thomas Raphael Meinel
- Department of Neurology, University Hospital Bern, Inselspital, University of Bern, Stroke Research Center Bern, Freiburgstrasse 8, CH-3010, Bern, Switzerland.
| | - Laurent Roten
- Department of Cardiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Joanna Wardlaw
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Institute Centre at the University of Edinburgh, Edinburgh, UK
| | - Urs Fischer
- Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland
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