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Bruun M, Frederiksen KS, Rhodius-Meester HFM, Baroni M, Gjerum L, Koikkalainen J, Urhemaa T, Tolonen A, van Gils M, Tong T, Guerrero R, Rueckert D, Dyremose N, Andersen BB, Simonsen AH, Lemstra A, Hallikainen M, Kurl S, Herukka SK, Remes AM, Waldemar G, Soininen H, Mecocci P, van der Flier WM, Lötjönen J, Hasselbalch SG. Impact of a Clinical Decision Support Tool on Dementia Diagnostics in Memory Clinics: The PredictND Validation Study. Curr Alzheimer Res 2020; 16:91-101. [PMID: 30605060 DOI: 10.2174/1567205016666190103152425] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 12/04/2018] [Accepted: 12/13/2018] [Indexed: 11/22/2022]
Abstract
BACKGROUND Determining the underlying etiology of dementia can be challenging. Computer- based Clinical Decision Support Systems (CDSS) have the potential to provide an objective comparison of data and assist clinicians. OBJECTIVES To assess the diagnostic impact of a CDSS, the PredictND tool, for differential diagnosis of dementia in memory clinics. METHODS In this prospective multicenter study, we recruited 779 patients with either subjective cognitive decline (n=252), mild cognitive impairment (n=219) or any type of dementia (n=274) and followed them for minimum 12 months. Based on all available patient baseline data (demographics, neuropsychological tests, cerebrospinal fluid biomarkers, and MRI visual and computed ratings), the PredictND tool provides a comprehensive overview and analysis of the data with a likelihood index for five diagnostic groups; Alzheimer´s disease, vascular dementia, dementia with Lewy bodies, frontotemporal dementia and subjective cognitive decline. At baseline, a clinician defined an etiological diagnosis and confidence in the diagnosis, first without and subsequently with the PredictND tool. The follow-up diagnosis was used as the reference diagnosis. RESULTS In total, 747 patients completed the follow-up visits (53% female, 69±10 years). The etiological diagnosis changed in 13% of all cases when using the PredictND tool, but the diagnostic accuracy did not change significantly. Confidence in the diagnosis, measured by a visual analogue scale (VAS, 0-100%) increased (ΔVAS=3.0%, p<0.0001), especially in correctly changed diagnoses (ΔVAS=7.2%, p=0.0011). CONCLUSION Adding the PredictND tool to the diagnostic evaluation affected the diagnosis and increased clinicians' confidence in the diagnosis indicating that CDSSs could aid clinicians in the differential diagnosis of dementia.
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Affiliation(s)
- Marie Bruun
- Department of Neurology, Danish Dementia Research Centre, University of Copenhagen, Rigshospitalet, Denmark
| | - Kristian S Frederiksen
- Department of Neurology, Danish Dementia Research Centre, University of Copenhagen, Rigshospitalet, Denmark
| | | | - Marta Baroni
- Institute of Gerontology and Geriatrics, University of Perugia, Perugia, Italy
| | - Le Gjerum
- Department of Neurology, Danish Dementia Research Centre, University of Copenhagen, Rigshospitalet, Denmark
| | | | - Timo Urhemaa
- VTT Technical Research Centre of Finland Ltd., Tampere, Finland
| | - Antti Tolonen
- VTT Technical Research Centre of Finland Ltd., Tampere, Finland
| | - Mark van Gils
- VTT Technical Research Centre of Finland Ltd., Tampere, Finland
| | - Tong Tong
- Institutes of Neurology and Healthcare Engineering, University College London, London, United Kingdom
| | - Ricardo Guerrero
- Institutes of Neurology and Healthcare Engineering, University College London, London, United Kingdom
| | - Daniel Rueckert
- Institutes of Neurology and Healthcare Engineering, University College London, London, United Kingdom
| | - Nadia Dyremose
- Department of Neurology, Danish Dementia Research Centre, University of Copenhagen, Rigshospitalet, Denmark
| | - Birgitte Bo Andersen
- Department of Neurology, Danish Dementia Research Centre, University of Copenhagen, Rigshospitalet, Denmark
| | - Anja H Simonsen
- Department of Neurology, Danish Dementia Research Centre, University of Copenhagen, Rigshospitalet, Denmark
| | - Afina Lemstra
- Alzheimer Center, VU University Medical Center, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Merja Hallikainen
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Sudhir Kurl
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Sanna-Kaisa Herukka
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Anne M Remes
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland.,Medical Research Center, Oulu University Hospital, Oulu, Finland and Unit of Clinical Neuroscience, Neurology, University of Oulu, Oulu, Finland
| | - Gunhild Waldemar
- Department of Neurology, Danish Dementia Research Centre, University of Copenhagen, Rigshospitalet, Denmark
| | - Hilkka Soininen
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Patrizia Mecocci
- Institute of Gerontology and Geriatrics, University of Perugia, Perugia, Italy
| | - Wiesje M van der Flier
- Alzheimer Center, VU University Medical Center, Amsterdam Neuroscience, Amsterdam, Netherlands.,Department of Epidemiology and Biostatistics, VU University Medical Centre, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | | | - Steen G Hasselbalch
- Department of Neurology, Danish Dementia Research Centre, University of Copenhagen, Rigshospitalet, Denmark
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Bruun M, Frederiksen KS, Rhodius-Meester HFM, Baroni M, Gjerum L, Koikkalainen J, Urhemaa T, Tolonen A, van Gils M, Rueckert D, Dyremose N, Andersen BB, Lemstra AW, Hallikainen M, Kurl S, Herukka SK, Remes AM, Waldemar G, Soininen H, Mecocci P, van der Flier WM, Lötjönen J, Hasselbalch SG. Impact of a clinical decision support tool on prediction of progression in early-stage dementia: a prospective validation study. Alzheimers Res Ther 2019; 11:25. [PMID: 30894218 PMCID: PMC6425602 DOI: 10.1186/s13195-019-0482-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Accepted: 03/11/2019] [Indexed: 12/19/2022]
Abstract
Background In clinical practice, it is often difficult to predict which patients with cognitive complaints or impairment will progress or remain stable. We assessed the impact of using a clinical decision support system, the PredictND tool, to predict progression in patients with subjective cognitive decline (SCD) and mild cognitive impairment (MCI) in memory clinics. Methods In this prospective multicenter study, we included 429 patients with SCD (n = 230) and MCI (n = 199) (female 54%, age 67 ± 9, MMSE 28 ± 2) and followed them for at least 12 months. Based on all available patient baseline data (demographics, cognitive tests, cerebrospinal fluid biomarkers, and MRI), the PredictND tool provides a comprehensive overview of the data and a classification defining the likelihood of progression. At baseline, a clinician defined an expected follow-up diagnosis and estimated the level of confidence in their prediction using a visual analogue scale (VAS, 0–100%), first without and subsequently with the PredictND tool. As outcome measure, we defined clinical progression as progression from SCD to MCI or dementia, and from MCI to dementia. Correspondence between the expected and the actual clinical progression at follow-up defined the prognostic accuracy. Results After a mean follow-up time of 1.7 ± 0.4 years, 21 (9%) SCD and 63 (32%) MCI had progressed. When using the PredictND tool, the overall prognostic accuracy was unaffected (0.4%, 95%CI − 3.0%; + 3.9%; p = 0.79). However, restricting the analysis to patients with more certain classifications (n = 203), we found an increase of 3% in the accuracy (95%CI − 0.6%; + 6.5%; p = 0.11). Furthermore, for this subgroup, the tool alone showed a statistically significant increase in the prognostic accuracy compared to the evaluation without tool (6.4%, 95%CI 2.1%; 10.7%; p = 0.004). Specifically, the negative predictive value was high. Moreover, confidence in the prediction increased significantly (∆VAS = 4%, p < .0001). Conclusions Adding the PredictND tool to the clinical evaluation increased clinicians’ confidence. Furthermore, the results indicate that the tool has the potential to improve prediction of progression for patients with more certain classifications. Electronic supplementary material The online version of this article (10.1186/s13195-019-0482-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Marie Bruun
- Danish Dementia Research Centre, Neuroscience Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen, Denmark.
| | - Kristian S Frederiksen
- Danish Dementia Research Centre, Neuroscience Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen, Denmark
| | - Hanneke F M Rhodius-Meester
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Marta Baroni
- Institute of Gerontology and Geriatrics, University of Perugia, Perugia, Italy
| | - Le Gjerum
- Danish Dementia Research Centre, Neuroscience Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen, Denmark
| | | | - Timo Urhemaa
- VTT Technical Research Centre of Finland Ltd, Tampere, Finland
| | - Antti Tolonen
- VTT Technical Research Centre of Finland Ltd, Tampere, Finland
| | - Mark van Gils
- VTT Technical Research Centre of Finland Ltd, Tampere, Finland
| | - Daniel Rueckert
- Department of Computing, Imperial College London, London, UK
| | - Nadia Dyremose
- Danish Dementia Research Centre, Neuroscience Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen, Denmark
| | - Birgitte B Andersen
- Danish Dementia Research Centre, Neuroscience Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen, Denmark
| | - Afina W Lemstra
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Merja Hallikainen
- Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Medical Research Center, Oulu University Hospital, Oulu, Finland
| | - Sudhir Kurl
- Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Medical Research Center, Oulu University Hospital, Oulu, Finland
| | - Sanna-Kaisa Herukka
- Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Medical Research Center, Oulu University Hospital, Oulu, Finland
| | - Anne M Remes
- Neurology, Neuro Center, Kuopio University Hospital, Kuopio, Finland.,Neurology, Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland
| | - Gunhild Waldemar
- Danish Dementia Research Centre, Neuroscience Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen, Denmark
| | - Hilkka Soininen
- Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Medical Research Center, Oulu University Hospital, Oulu, Finland
| | - Patrizia Mecocci
- Institute of Gerontology and Geriatrics, University of Perugia, Perugia, Italy
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | | | - Steen G Hasselbalch
- Danish Dementia Research Centre, Neuroscience Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen, Denmark
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3
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Bruun M, Rhodius-Meester HFM, Koikkalainen J, Baroni M, Gjerum L, Lemstra AW, Barkhof F, Remes AM, Urhemaa T, Tolonen A, Rueckert D, van Gils M, Frederiksen KS, Waldemar G, Scheltens P, Mecocci P, Soininen H, Lötjönen J, Hasselbalch SG, van der Flier WM. Evaluating combinations of diagnostic tests to discriminate different dementia types. Alzheimers Dement (Amst) 2018; 10:509-518. [PMID: 30320203 PMCID: PMC6180596 DOI: 10.1016/j.dadm.2018.07.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Introduction We studied, using a data-driven approach, how different combinations of diagnostic tests contribute to the differential diagnosis of dementia. Methods In this multicenter study, we included 356 patients with Alzheimer's disease, 87 frontotemporal dementia, 61 dementia with Lewy bodies, 38 vascular dementia, and 302 controls. We used a classifier to assess accuracy for individual performance and combinations of cognitive tests, cerebrospinal fluid biomarkers, and automated magnetic resonance imaging features for pairwise differentiation between dementia types. Results Cognitive tests had good performance in separating any type of dementia from controls. Cerebrospinal fluid optimally contributed to identifying Alzheimer's disease, whereas magnetic resonance imaging features aided in separating vascular dementia, dementia with Lewy bodies, and frontotemporal dementia. Combining diagnostic tests increased the accuracy, with balanced accuracies ranging from 78% to 97%. Discussion Different diagnostic tests have their distinct roles in differential diagnostics of dementias. Our results indicate that combining different diagnostic tests may increase the accuracy further.
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Affiliation(s)
- Marie Bruun
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Hanneke F M Rhodius-Meester
- Alzheimer Center, Department of Neurology, VU University Medical Center, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | | | - Marta Baroni
- Institute of Gerontology and Geriatrics, University of Perugia, Perugia, Italy
| | - Le Gjerum
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Afina W Lemstra
- Alzheimer Center, Department of Neurology, VU University Medical Center, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, VU University Medical Centre, Amsterdam Neuroscience, Amsterdam, the Netherlands.,UCL Institutes of Neurology and Healthcare Engineering, London, United Kingdom
| | - Anne M Remes
- Medical Research Center, Oulu University Hospital, Oulu, Finland.,Unit of Clinical Neuroscience, Neurology, University of Oulu, Oulu, Finland
| | - Timo Urhemaa
- VTT Technical Research Center of Finland Ltd, Tampere, Finland
| | - Antti Tolonen
- VTT Technical Research Center of Finland Ltd, Tampere, Finland
| | - Daniel Rueckert
- Department of Computing, Imperial College, London, United Kingdom
| | - Mark van Gils
- VTT Technical Research Center of Finland Ltd, Tampere, Finland
| | - Kristian S Frederiksen
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Gunhild Waldemar
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Philip Scheltens
- Alzheimer Center, Department of Neurology, VU University Medical Center, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Patrizia Mecocci
- Institute of Gerontology and Geriatrics, University of Perugia, Perugia, Italy
| | - Hilkka Soininen
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland
| | | | - Steen G Hasselbalch
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Wiesje M van der Flier
- Alzheimer Center, Department of Neurology, VU University Medical Center, Amsterdam Neuroscience, Amsterdam, the Netherlands.,Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam Neuroscience, Amsterdam, the Netherlands
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Rhodius- Meester HFM, Bruun M, Baroni M, Gjerum L, Remes A, Urhemaa T, Tolonen A, Rueckert D, Gils M, Lemstra E, Barkhof F, Frederiksen KS, Waldemar G, Scheltens P, Soininen H, Mecocci P, Koikkalainen J, Lotjonen J, Hasselbalch SG, Flier WM. P2‐349: DIFFERENT COMBINATIONS OF DIAGNOSTIC TESTS DISCRIMINATE SPECIFIC SUBTYPES OF DEMENTIA. Alzheimers Dement 2018. [DOI: 10.1016/j.jalz.2018.06.1039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Hanneke FM. Rhodius- Meester
- Alzheimer Center and Department of Neurology Amsterdam NeuroscienceVU University Medical CenterAmsterdamNetherlands
| | - Marie Bruun
- Danish Dementia Research CentreRigshospitaletCopenhagenDenmark
| | - Marta Baroni
- Institute of Gerontology and Geriatrics, Department of MedicineUniversity of PerugiaPerugiaItaly
| | - Le Gjerum
- Danish Dementia Research CentreRigshospitaletCopenhagenDenmark
| | - Anne Remes
- Institute of Clinical Medicine/NeurologyUniversity of Eastern FinlandKuopioFinland
| | - Timo Urhemaa
- VTT Technical Research Centre of Finland LtdTampereFinland
| | - Antti Tolonen
- VTT Technical Research Centre of Finland LtdTampereFinland
| | | | - Mark Gils
- VTT Technical Research Centre of Finland LtdTampereFinland
| | - Evelien Lemstra
- Alzheimer Center and Department of Neurology Amsterdam NeuroscienceVU University Medical CenterAmsterdamNetherlands
| | - Frederik Barkhof
- Radiology and Nuclear MedicineVU University Medical CenterAmsterdamNetherlands
| | | | | | - Philip Scheltens
- VU University Medical Center, Alzheimer CenterAmsterdam NeuroscienceAmsterdamNetherlands
| | | | - Patrizia Mecocci
- Institute of Gerontology and Geriatrics, Department of MedicineUniversity of PerugiaPerugiaItaly
| | | | | | | | - Wiesje M. Flier
- Alzheimer Center and Department of Neurology Amsterdam NeuroscienceVU University Medical CenterAmsterdamNetherlands
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Cajanus A, Hall A, Koikkalainen J, Solje E, Tolonen A, Urhemaa T, Liu Y, Haanpää RM, Hartikainen P, Helisalmi S, Korhonen V, Rueckert D, Hasselbalch S, Waldemar G, Mecocci P, Vanninen R, van Gils M, Soininen H, Lötjönen J, Remes AM. Automatic MRI Quantifying Methods in Behavioral-Variant Frontotemporal Dementia Diagnosis. Dement Geriatr Cogn Dis Extra 2018; 8:51-59. [PMID: 29606954 PMCID: PMC5869565 DOI: 10.1159/000486849] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 01/15/2018] [Indexed: 12/11/2022] Open
Abstract
Aims We assessed the value of automated MRI quantification methods in the differential diagnosis of behavioral-variant frontotemporal dementia (bvFTD) from Alzheimer disease (AD), Lewy body dementia (LBD), and subjective memory complaints (SMC). We also examined the role of the C9ORF72-related genetic status in the differentiation sensitivity. Methods The MRI scans of 50 patients with bvFTD (17 C9ORF72 expansion carriers) were analyzed using 6 quantification methods as follows: voxel-based morphometry (VBM), tensor-based morphometry, volumetry (VOL), manifold learning, grading, and white-matter hyperintensities. Each patient was then individually compared to an independent reference group in order to attain diagnostic suggestions. Results Only VBM and VOL showed utility in correctly identifying bvFTD from our set of data. The overall classification sensitivity of bvFTD with VOL + VBM achieved a total sensitivity of 60%. Using VOL + VBM, 32% were misclassified as having LBD. There was a trend of higher values for classification sensitivity of the C9ORF72 expansion carriers than noncarriers. Conclusion VOL, VBM, and their combination are effective in differential diagnostics between bvFTD and AD or SMC. However, MRI atrophy profiles for bvFTD and LBD are too similar for a reliable differentiation with the quantification methods tested in this study.
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Affiliation(s)
- Antti Cajanus
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland.,Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Anette Hall
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | | | - Eino Solje
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland.,Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Antti Tolonen
- VTT Technical Research Centre of Finland Ltd., Tampere, Finland
| | - Timo Urhemaa
- VTT Technical Research Centre of Finland Ltd., Tampere, Finland
| | - Yawu Liu
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland.,Department of Radiology, Kuopio University Hospital, Kuopio, Finland
| | - Ramona M Haanpää
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Päivi Hartikainen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland.,Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Seppo Helisalmi
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Ville Korhonen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland.,Neurocenter, Neurosurgery, Kuopio University Hospital, Kuopio, Finland
| | - Daniel Rueckert
- Department of Computing, Imperial College London, London, United Kingdom
| | - Steen Hasselbalch
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Gunhild Waldemar
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Patrizia Mecocci
- Section of Gerontology and Geriatrics, University of Perugia, Perugia, Italy
| | - Ritva Vanninen
- Department of Radiology, Kuopio University Hospital, Kuopio, Finland
| | - Mark van Gils
- VTT Technical Research Centre of Finland Ltd., Tampere, Finland
| | - Hilkka Soininen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland.,Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
| | | | - Anne M Remes
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland.,Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland.,Medical Research Center, Oulu University Hospital, Oulu, Finland.,Unit of Clinical Neuroscience, Neurology, University of Oulu, Oulu, Finland
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Bruun M, Frederiksen KS, Waldemar G, Soininen H, Flier WM, Mecocci P, Rhodius-Meester HF, Herukka SK, Baroni M, Remes A, Urhemaa T, Mattila J, Lötjönen J, Hasselbalch SG. P1‐166: A prospective validation study of the predictnd tool: A diagnostic decision support tool—rationale and design of the study. Alzheimers Dement 2015. [DOI: 10.1016/j.jalz.2015.06.365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Marie Bruun
- RigshospitaletCopenhagen University HospitalCopenhagenDenmark
| | | | - Gunhild Waldemar
- Danish Dementia Research Centre, RigshospitaletCopenhagen University HospitalCopenhagenDenmark
| | | | | | | | | | | | - Marta Baroni
- University of Perugia Medical FacultyPerugiaItaly
| | - Anne Remes
- University of Eastern FinlandKuopioFinland
| | - Timo Urhemaa
- VTT Technical Research Centre of FinlandTampereFinland
| | - Jussi Mattila
- VTT Technical Research Centre of FinlandTampereFinland
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