CT-based volumetric measures obtained through deep learning: Association with biomarkers of neurodegeneration

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CT-based volumetric measures obtained through deep learning: Association with biomarkers of neurodegeneration

Srikrishna, Meera (author): University of Gothenburg,Gothenburg University,Göteborgs universitet,Wallenberg Centre for Molecular and Translational Medicine,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry

Ashton, Nicholas J. (author): University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Wallenberg Centre for Molecular and Translational Medicine,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry,King's College London

Rial, Alexis Moscoso (author): University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Wallenberg Centre for Molecular and Translational Medicine,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry

Pereira, Joana B. (author): Karolinska Institute,Lund University,Lunds universitet,Karolinska Institutet,Klinisk minnesforskning,Forskargrupper vid Lunds universitet,Clinical Memory Research,Lund University Research Groups

Heckemann, Rolf A. (author): Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för medicinsk strålningsvetenskap,Institute of Clinical Sciences, Department of Medical Radiation Sciences,Sahlgrenska Academy

van Westen, Danielle (author): Lund University,Lunds universitet,Diagnostisk radiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Neuroradiologi,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,LU profilområde: Proaktivt åldrande,Lunds universitets profilområden,Diagnostic Radiology, (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Neuroradiology,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments,LU Profile Area: Proactive Ageing,Lund University Profile areas,Skåne University Hospital

Volpe, Giovanni, 1979 (author): University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för fysik (GU),Department of Physics (GU)

Simrén, Joel, 1996 (author): University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry,Sahlgrenska University Hospital

Zettergren, Anna, 1978 (author): Gothenburg University,Göteborgs universitet,Centrum för åldrande och hälsa (AgeCap),Centre for Ageing and Health (Agecap),Sahlgrenska Academy

Kern, Silke (author): Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Centrum för åldrande och hälsa (AgeCap),Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry,Centre for Ageing and Health (Agecap),Sahlgrenska Academy,Sahlgrenska University Hospital

Wahlund, L. O. (author): Karolinska Institute,Karolinska Institutet

Gyanwali, B. (author): National University Health System,National University of Singapore

Hilal, S. (author): National University of Singapore,National University Health System

Ruifen, J. C. (author): National University of Singapore,National University Health System

Zetterberg, Henrik, 1973 (author): University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry,University College London,Sahlgrenska University Hospital,University of Wisconsin-Madison

Blennow, Kaj, 1958 (author): University of Gothenburg,Sahlgrenska University Hospital

Westman, E. (author): Karolinska Institute,Karolinska Institutet

Chen, C. S. P. (author)

Skoog, Ingmar, 1954 (author): Gothenburg University,Göteborgs universitet,Centrum för åldrande och hälsa (AgeCap),Centre for Ageing and Health (Agecap),Sahlgrenska Academy,Sahlgrenska University Hospital

Schöll, Michael, 1980 (author): University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Wallenberg Centre for Molecular and Translational Medicine,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry,University College London,Sahlgrenska University Hospital

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2024
2024
English.
In: Alzheimers & Dementia. - 1552-5260. ; 20:1, s. 629-640

Related links:: http://dx.doi.org/10... (free); show more...; https://gup.ub.gu.se...; https://doi.org/10.1...; http://kipublication...; https://lup.lub.lu.s...; show less...

Journal article (peer-reviewed)

Abstract Subject headings

INTRODUCTIONCranial computed tomography (CT) is an affordable and widely available imaging modality that is used to assess structural abnormalities, but not to quantify neurodegeneration. Previously we developed a deep-learning-based model that produced accurate and robust cranial CT tissue classification.MATERIALS AND METHODSWe analyzed 917 CT and 744 magnetic resonance (MR) scans from the Gothenburg H70 Birth Cohort, and 204 CT and 241 MR scans from participants of the Memory Clinic Cohort, Singapore. We tested associations between six CT-based volumetric measures (CTVMs) and existing clinical diagnoses, fluid and imaging biomarkers, and measures of cognition.RESULTSCTVMs differentiated cognitively healthy individuals from dementia and prodromal dementia patients with high accuracy levels comparable to MR-based measures. CTVMs were significantly associated with measures of cognition and biochemical markers of neurodegeneration.DISCUSSIONThese findings suggest the potential future use of CT-based volumetric measures as an informative first-line examination tool for neurodegenerative disease diagnostics after further validation.HIGHLIGHTSComputed tomography (CT)-based volumetric measures can distinguish between patients with neurodegenerative disease and healthy controls, as well as between patients with prodromal dementia and controls.CT-based volumetric measures associate well with relevant cognitive, biochemical, and neuroimaging markers of neurodegenerative diseases.Model performance, in terms of brain tissue classification, was consistent across two cohorts of diverse nature.Intermodality agreement between our automated CT-based and established magnetic resonance (MR)-based image segmentations was stronger than the agreement between visual CT and MR imaging assessment.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Neurologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Neurology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)

Keyword

brain segmentation
cognition
CSF biomarkers
CT
deep learning
dementia
plasma biomarkers
fluid neurofilament light
cerebrospinal-fluid
alzheimers-disease
brain atrophy
imaging biomarkers
mri
plasma
index
segmentation
dementia
Neurosciences & Neurology

Publication and Content Type

ref (subject category)
art (subject category)

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MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Clinical Medicin ...; and Neurology

MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Clinical Medicin ...; and Radiology Nuclea ...

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By the university: University of Gothenburg; Karolinska Institutet; Lund University

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