Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
48
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Hybrid 2-[ 18F] FDG PET/MRI in premanifest Huntington’s disease gene-expansion carriers: The significance of partial volume correction

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Huntington’s disease (HD) is an inherited, progressive neurodegenerative disease that has no cure. Striatal atrophy and hypometabolism has been described in HD as far as 15 years before clinical onset and therefore structural and functional imaging biomarkers are the most applied biomarker modalities which call for these to be exact; however, most studies are not considering the partial volume effect and thereby tend to overestimate metabolic reductions, which may bias imaging outcome measures of interventions.

          Objective

          Evaluation of partial volume effects in a cohort of premanifest HD gene-expansion carriers (HDGECs).

          Methods

          21 HDGECs and 17 controls had a hybrid 2-[ 18F]FDG PET/MRI scan performed. Volume measurements and striatal metabolism, both corrected and uncorrected for partial volume effect were correlated to an estimate of disease burden, the CAG age product scaled (CAP S).

          Results

          We found significantly reduced striatal metabolism in HDGECs, but not in striatal volume. There was a negative correlation between the CAP S and striatal metabolism, both corrected and uncorrected for the partial volume effect. The partial volume effect was largest in the smallest structures and increased the difference in metabolism between the HDGEC with high and low CAP S scores. Statistical parametric mapping confirmed the results.

          Conclusions

          A hybrid 2-[ 18F]FDG PET/MRI scan provides simultaneous information on structure and metabolism. Using this approach for the first time on HDGECs, we highlight the importance of partial volume effect correction in order not to underestimate the standardized uptake value and thereby the risk of overestimating the metabolic effect on the striatal structures, which potentially could bias studies determining imaging outcome measures of interventions in HDGECs and probably also symptomatic HD.

          Related collections

          Most cited references30

          • Record: found
          • Abstract: found
          • Article: not found

          pROC: an open-source package for R and S+ to analyze and compare ROC curves

          Background Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often reached through inconsistent use or insufficient statistical analysis. To support researchers in their ROC curves analysis we developed pROC, a package for R and S+ that contains a set of tools displaying, analyzing, smoothing and comparing ROC curves in a user-friendly, object-oriented and flexible interface. Results With data previously imported into the R or S+ environment, the pROC package builds ROC curves and includes functions for computing confidence intervals, statistical tests for comparing total or partial area under the curve or the operating points of different classifiers, and methods for smoothing ROC curves. Intermediary and final results are visualised in user-friendly interfaces. A case study based on published clinical and biomarker data shows how to perform a typical ROC analysis with pROC. Conclusions pROC is a package for R and S+ specifically dedicated to ROC analysis. It proposes multiple statistical tests to compare ROC curves, and in particular partial areas under the curve, allowing proper ROC interpretation. pROC is available in two versions: in the R programming language or with a graphical user interface in the S+ statistical software. It is accessible at http://expasy.org/tools/pROC/ under the GNU General Public License. It is also distributed through the CRAN and CSAN public repositories, facilitating its installation.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            FreeSurfer.

            FreeSurfer is a suite of tools for the analysis of neuroimaging data that provides an array of algorithms to quantify the functional, connectional and structural properties of the human brain. It has evolved from a package primarily aimed at generating surface representations of the cerebral cortex into one that automatically creates models of most macroscopically visible structures in the human brain given any reasonable T1-weighted input image. It is freely available, runs on a wide variety of hardware and software platforms, and is open source. Copyright © 2012 Elsevier Inc. All rights reserved.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Automated Talairach atlas labels for functional brain mapping.

              An automated coordinate-based system to retrieve brain labels from the 1988 Talairach Atlas, called the Talairach Daemon (TD), was previously introduced [Lancaster et al., 1997]. In the present study, the TD system and its 3-D database of labels for the 1988 Talairach atlas were tested for labeling of functional activation foci. TD system labels were compared with author-designated labels of activation coordinates from over 250 published functional brain-mapping studies and with manual atlas-derived labels from an expert group using a subset of these activation coordinates. Automated labeling by the TD system compared well with authors' labels, with a 70% or greater label match averaged over all locations. Author-label matching improved to greater than 90% within a search range of +/-5 mm for most sites. An adaptive grey matter (GM) range-search utility was evaluated using individual activations from the M1 mouth region (30 subjects, 52 sites). It provided an 87% label match to Brodmann area labels (BA 4 & BA 6) within a search range of +/-5 mm. Using the adaptive GM range search, the TD system's overall match with authors' labels (90%) was better than that of the expert group (80%). When used in concert with authors' deeper knowledge of an experiment, the TD system provides consistent and comprehensive labels for brain activation foci. Additional suggested applications of the TD system include interactive labeling, anatomical grouping of activation foci, lesion-deficit analysis, and neuroanatomy education.
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Writing – original draftRole: Writing – review & editing
                Role: SoftwareRole: Writing – original draft
                Role: Data curationRole: Formal analysisRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: SoftwareRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                11 June 2021
                2021
                : 16
                : 6
                : e0252683
                Affiliations
                [1 ] The Neurogenetics Clinic, Danish Dementia Research Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
                [2 ] Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
                [3 ] Department of Public Health, Section of Biostatistics, University of Copenhagen, Copenhagen, Denmark
                [4 ] Department of Radiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
                University of Minnesota Duluth, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-9026-1073
                Article
                PONE-D-21-01102
                10.1371/journal.pone.0252683
                8195345
                34115782
                4273f476-db40-453d-85c4-8a107da55f32
                © 2021 Hellem et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 12 January 2021
                : 19 May 2021
                Page count
                Figures: 3, Tables: 5, Pages: 13
                Funding
                Funded by: Danish Huntington's disease association Research foundation
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100005111, Rigshospitalet;
                Award ID: the research board at Rigshospitalet
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100009708, Novo Nordisk Fonden;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100006197, Fonden til Lægevidenskabens Fremme;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100010359, Læge Søren Segel og Hustru Johanne Wiibroe Segels Forskningsfond;
                Award Recipient :
                MNNH received funds from Danish Huntington's Disease Association Resaerch Foundation, http://huntingtons.dk/. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. MNNH received funding from The Research Board at Rigshospitalet, https://www.rigshospitalet.dk/english/Pages/default.aspx. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. MNNH received funding from A.P. Møller Foundation, https://www.apmollerfonde.dk/om-fonden/. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. MNNH received funding from The Søren Segel & Johanne Wiibro Segel’s Research Fund, https://www.legatbogen.dk/lge-sren-segel-og-hustru-johanne-wiibroe-segel-forskningsfond. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. JEN received funding from The Novo Nordisk Foundation, https://novonordiskfonden.dk/en/. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Diagnostic Medicine
                Diagnostic Radiology
                Magnetic Resonance Imaging
                Research and Analysis Methods
                Imaging Techniques
                Diagnostic Radiology
                Magnetic Resonance Imaging
                Medicine and Health Sciences
                Radiology and Imaging
                Diagnostic Radiology
                Magnetic Resonance Imaging
                Physical Sciences
                Chemistry
                Polymer Chemistry
                Macromolecules
                Polymers
                Polyvinyl Chloride
                Physical Sciences
                Materials Science
                Materials
                Polymers
                Polyvinyl Chloride
                Physical Sciences
                Chemistry
                Polymer Chemistry
                Polymers
                Polyvinyl Chloride
                Medicine and Health Sciences
                Medical Conditions
                Genetic Diseases
                Autosomal Dominant Diseases
                Huntington Disease
                Medicine and Health Sciences
                Clinical Genetics
                Genetic Diseases
                Autosomal Dominant Diseases
                Huntington Disease
                Medicine and Health Sciences
                Medical Conditions
                Neurodegenerative Diseases
                Huntington Disease
                Medicine and Health Sciences
                Neurology
                Neurodegenerative Diseases
                Huntington Disease
                Research and Analysis Methods
                Imaging Techniques
                Neuroimaging
                Positron Emission Tomography
                Biology and Life Sciences
                Neuroscience
                Neuroimaging
                Positron Emission Tomography
                Medicine and Health Sciences
                Diagnostic Medicine
                Diagnostic Radiology
                Tomography
                Positron Emission Tomography
                Research and Analysis Methods
                Imaging Techniques
                Diagnostic Radiology
                Tomography
                Positron Emission Tomography
                Medicine and Health Sciences
                Radiology and Imaging
                Diagnostic Radiology
                Tomography
                Positron Emission Tomography
                Biology and Life Sciences
                Biochemistry
                Metabolism
                Carbohydrate Metabolism
                Glucose Metabolism
                Biology and Life Sciences
                Anatomy
                Brain
                Neostriatum
                Medicine and Health Sciences
                Anatomy
                Brain
                Neostriatum
                Medicine and Health Sciences
                Clinical Medicine
                Signs and Symptoms
                Atrophy
                Biology and Life Sciences
                Anatomy
                Nervous System
                Central Nervous System
                Medicine and Health Sciences
                Anatomy
                Nervous System
                Central Nervous System
                Custom metadata
                Personal clinical data cannot be shared publicly because of GDPR rules. All relevant data are within the manuscript and its Supporting Information files. We will not be able to upload imaging raw data because of data size and GDPR limitations, as it will be possible to reconstruct facial features from high resolution MRI and deanonymized patients and thereby compromise participant privacy. Interested researchers may contact the department data access commitee for scientific collaborative purposes on the address below: Department of Clinical Physiology, Nuclear Medicine & PET Rigshospitalet, Section 3982 Blegdamsvej 9, DK 2100 Copenhagen Ø, Denmark Tel: +45 35453919 Mail: kfpet.rigshospitalet@ 123456regionh.dk .

                Uncategorized
                Uncategorized

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content312

                Cited by3

                Most referenced authors489