4.5 Article

Magnetic resonance imaging texture predicts progression to dementia due to Alzheimer disease earlier than hippocampal volume

期刊

JOURNAL OF PSYCHIATRY & NEUROSCIENCE
卷 45, 期 1, 页码 7-14

出版社

CMA-CANADIAN MEDICAL ASSOC
DOI: 10.1503/jpn.180171

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资金

  1. Korean Health Technology R&D Project, Ministry of Health, Welfare, Republic of Korea [HI09C1379 [A092077]]
  2. Alzheimer's Disease Neuroimaging Initiative (ADNI
  3. National Institutes of Health) [U01 AG024904]
  4. DOD ADNI (Department of Defense) [W81XWH-12-2-0012]
  5. National Institute on Aging
  6. National Institute of Biomedical Imaging and Bioengineering
  7. AbbVie
  8. Alzheimer's Association
  9. Alzheimer's Drug Discovery Foundation
  10. Araclon Biotech
  11. BioClinica, Inc.
  12. Biogen
  13. Bristol-Myers Squibb Company
  14. CereSpir, Inc.
  15. Cogstate
  16. Eisai Inc.
  17. Elan Pharmaceuticals, Inc.
  18. Eli Lilly and Company
  19. EuroImmun
  20. F. Hoffmann--La Roche Ltd
  21. Genentech, Inc.
  22. Fujirebio
  23. GE Healthcare
  24. IXICO Ltd.
  25. Janssen Alzheimer Immunotherapy Research & Development, LLC.
  26. Johnson & Johnson Pharmaceutical -Research & Development LLC.
  27. Lumosity
  28. Lundbeck
  29. Merck Co., Inc.
  30. Meso Scale Diagnostics, LLC.
  31. NeuroRx Research
  32. Neurotrack Technologies
  33. Novartis Pharmaceuticals Corporation
  34. Pfizer Inc.
  35. Piramal Imaging
  36. Servier
  37. Takeda Pharmaceutical Company
  38. Transition Therapeutics
  39. Canadian Institutes of Health Research

向作者/读者索取更多资源

Background: Early identification of people at risk of imminent progression to dementia due to Alzheimer disease is crucial for timely intervention and treatment. We investigated whether the texture of MRI brain scans could predict the progression of mild cognitive impairment (MCI) to Alzheimer disease earlier than volume. Methods: We constructed a development data set (121 people who were cognitively normal and 145 who had mild Alzheimer disease) and a validation data set (113 patients with stable MCI who did not progress to Alzheimer disease for 3 years; 40 with early MCI who progressed to Alzheimer disease after 12-36 months; and 41 with late MCI who progressed to Alzheimer disease within 12 months) from the Alzheimer's Disease Neuroimaging Initiative. We analyzed the texture of the hippocampus, precuneus and posterior cingulate cortex using a grey-level co-occurrence matrix. We constructed texture and volume indices from the development data set using logistic regression. Using area under the curve (AUC) of receiver operator characteristics, we compared the accuracy of hippocampal volume, hippocampal texture and the composite texture of the hippocampus, precuneus and posterior cingulate cortex in predicting conversion from MCI to Alzheimer disease in the validation data set. Results: Compared with hippocampal volume, hippocampal texture (0.790 v. 0.739, p = 0.047) and composite texture (0.811 v. 0.739, p = 0.007) showed larger AUCs for conversion to Alzheimer disease from both early and late MCI. Hippocampal texture showed a marginally larger AUC than hippocampal volume in early MCI (0.795 v. 0.726, p = 0.060). Composite texture showed a larger AUC for conversion to Alzheimer disease than hippocampal volume in both early (0.817 v. 0.726, p = 0.027) and late MCI (0.805 v. 0.753, p = 0.019). Limitations: This study was limited by the absence of histological data, and the pathology reflected by the texture measures remains to be validated. Conclusion: Textures of the hippocampus, precuneus and posterior cingulate cortex predicted conversion from MCI to Alzheimer disease at an earlier time point and with higher accuracy than hippocampal volume.

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