External evaluation of a deep learning-based approach for automated brain volumetry in patients with huntington's disease.

Journal: Scientific reports
PMID: 38649395

Abstract

A crucial step in the clinical adaptation of an AI-based tool is an external, independent validation. The aim of this study was to investigate brain atrophy in patients with confirmed, progressed Huntington's disease using a certified software for automated volumetry and to compare the results with the manual measurement methods used in clinical practice as well as volume calculations of the caudate nuclei based on manual segmentations. Twenty-two patients were included retrospectively, consisting of eleven patients with Huntington's disease and caudate nucleus atrophy and an age- and sex-matched control group. To quantify caudate head atrophy, the frontal horn width to intercaudate distance ratio and the intercaudate distance to inner table width ratio were obtained. The software mdbrain was used for automated volumetry. Manually measured ratios and automatically measured volumes of the groups were compared using two-sample t-tests. Pearson correlation analyses were performed. The relative difference between automatically and manually determined volumes of the caudate nuclei was calculated. Both ratios were significantly different between the groups. The automatically and manually determined volumes of the caudate nuclei showed a high level of agreement with a mean relative discrepancy of - 2.3 ± 5.5%. The Huntington's disease group showed significantly lower volumes in a variety of supratentorial brain structures. The highest degree of atrophy was shown for the caudate nucleus, putamen, and pallidum (all p < .0001). The caudate nucleus volume and the ratios were found to be strongly correlated in both groups. In conclusion, in patients with progressed Huntington's disease, it was shown that the automatically determined caudate nucleus volume correlates strongly with measured ratios commonly used in clinical practice. Both methods allowed clear differentiation between groups in this collective. The software additionally allows radiologists to more objectively assess the involvement of a variety of brain structures that are less accessible to standard semiquantitative methods.

Authors

  • Robert Haase
  • Nils Christian Lehnen
    Department of Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
  • Frederic Carsten Schmeel
    Department of Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
  • Katerina Deike
    From the German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany (K.D., A.D., K.F., O.K., F.J., Annika Spottke, N.R., M.W., S.R., M.T.H., F.B., Alfredo Ramirez, S.W., L.K., M.S., M.C.S., G.C.P., Anja Schneider, Alexander Radbruch); Department of Neuroradiology, University Hospital, Bonn, Germany (K.D., P.S., D.P., Alexander Radbruch); Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, University Hospital Bonn, Bonn, Germany (J.H., N.Z., K.F., M.W., Alfredo Ramirez, S.W., L.K., Anja Schneider); Department of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany (D.P.); German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany (O.P., S.D.F., J.P., E.S., S.A.); Institute of Psychiatry and Psychotherapy, Charité-Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany (O.P., S.D.F., L.-S.S., L.P.); Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany (J.P., E.S., S.A., A.L.); Department of Psychiatry and Psychotherapy, School of Medicine, Munich, Germany (J.P.); University of Edinburgh and UK DRI, Edinburgh, United Kingdom (J.P.); German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany (J.W.); Department of Psychiatry and Psychotherapy, University Medical Center, Goettingen, Germany (J.W., C.B., N.H.); Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal (J.W.); Department of Psychiatry, University of Cologne, Cologne, Germany (F.J., Ayda Rostamzadeh); Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases, University of Cologne, Cologne, Germany (F.J., Alfredo Ramirez); German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany (E.D., W.G., E.I.I., Michaela Butryn, L.D., R.Y.); Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany (E.D., W.G., E.I.I., Michaela Butryn); Department for Psychiatry and Psychotherapy, University Clinic Magdeburg, Magdeburg, Germany (E.I.I.); German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (K.B., M.E., R.P.); Institute for Stroke and Dementia Research, LMU Munich, Germany (K.B., D.J., M.E.); Department of Psychiatry and Psychotherapy, LMU Munich, Germany (R.P., B.-S.R.); Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (R.P.); Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, United Kingdom (R.P.); Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, United Kingdom (R.P., B.-S.R.); Department of Neuroradiology, University Hospital Munich, Munich, Germany (B.-S.R.); German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany (S.T., I.K., D.G.); Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany (S.T., I.K., D.G.); German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany (C.L., M.H.M.); Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, Tübingen, Germany (C.L.); Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen Germany (M.H.M.); Department of Neurology, University of Bonn, Bonn, Germany (Annika Spottke); Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Cologne, Germany (Alfredo Ramirez); Department of Psychiatry and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX (Alfredo Ramirez); Institute for Medical Biometry, Informatics, and Epidemiology, University Hospital Bonn, Bonn, Germany (M.C.S., Moritz Berger); Berlin Center for Advanced Neuroimaging, Charité-Universitätsmedizin, Berlin, Germany (S.H.); MR-Research in Neurosciences, Department of Cognitive Neurology, Göttingen, Germany (P.D.); Department for Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany (K.S.); Division of Vascular Neurology, Department of Neurology, University Hospital Bonn, Bonn, Germany (G.C.P.); and Institute for Applied Mathematics, University of Bonn, Bonn, Germany (A.E.).
  • Theodor Rüber
    Department of Epileptology, University Hospital Bonn, Bonn, Germany.
  • Alexander Radbruch
    Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany; Department of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Daniel Paech

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