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AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

OtherSPECIAL REPORT

A National Neuroimaging Database: A Call to Action

David M. Yousem, R. Nick Bryan, Norman J. Beauchamp and Alice M. Arnold
American Journal of Neuroradiology June 2004, 25 (6) 908-909;
David M. Yousem
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R. Nick Bryan
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Norman J. Beauchamp Jr.
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Alice M. Arnold
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The Cardiovascular Health Study (CHS) was funded by the National Heart, Lung, and Blood Institute (NHLBI) in 1989 to assess risk factors for myocardial infarction, stroke, and other cardiovascular diseases. Participants aged 65 and older were recruited from random samples of Medicare eligibility lists in four communities: Sacramento County, California; Washington County, Maryland; Forsyth County, North Carolina; and Pittsburgh, Pennsylvania. MR imaging was performed between 1991–1994 and then again between 1997–1999. Imaging examinations included sagittal T1-weighted, axial dual-echo proton density–weighted and T2-weighted, and axial T1-weighted sequences at 5-mm intervals with no intersection gaps. Patients who underwent MR examination during the second imaging period (1997–1999) also underwent 3D axial spoiled gradient echo imaging at 1.5-mm intervals to obtain high-quality volumetric images. There were 3660 participants during the initial MR imaging period, and 2317 underwent imaging during the second period; 2116 participants were imaged during both periods. Thus, the database includes 5977 images obtained in 3861 participants. The investigators of the CHS would like to invite neuroscience researchers to make use of the MR images and summary data collected from the participants in the CHS study.

An original cohort of 5201 participants was enrolled between 1989–1990 and a second cohort of 687 African American participants was enrolled 3 years later. The combined cohort of 5888 comprised 58% female and 16% African American participants. Average age at enrollment was 73 years. Details of study design and recruitment have been published previously and are available for review (1, 2). Participants underwent an extensive clinical examination at baseline that included recording of medical history and medication, venipuncture, blood pressure measurement, physical examination, electrocardiography, and sonography of the carotid arteries. Components of the examination were repeated annually through May 30, 1999. New cardiovascular events were reported by participants during semi-annual interviews, and medical records were obtained and events adjudicated by committee (3).

MR imaging findings were interpreted by two readers for the presence of infarcts, white matter ischemic changes, and parenchymal volume loss. Infarcts were graded for size and location and lesions classified on the basis of 23 anatomic locations. The degree of white matter ischemic change, sulcal prominence, and ventricular prominence were assessed by use of a 10-point scale from zero to nine (zero, least advanced; nine, most advanced). Assessment was based on a pattern-matching approach comparing participant images to a library of template images. The reproducibility of the scores within one grade was high.

The data from this study have recently been archived in a central database that can be queried electronically according to demographic information or study time. The CHS Executive Committee has elected to offer data to interested parties to maximize the potential benefit of this longitudinal study of atherosclerosis and aging. Interested researchers are referred to the CHS website (http://chs-nhlbi.org) for information on proposing an original investigation or ancillary study that makes use of the CHS MR imaging data. The Johns Hopkins Reading Center, under the direction of David M. Yousem, MD, MBA, will be coordinating the dissemination of this protected, confidential imaging database, while the main study center at the University of Washington will provide clinical information. Requests for ratings without raw image data will be handled by the University of Washington Coordinating Center.

The mechanism for submitting ancillary studies (as in RO1s) to the main grant is available through the main CHS center, and requests for a limited-access dataset may be submitted to the NHLBI as described at http://www.nhlbi.nih.gov/resources/deca/directry.html. The limited-access dataset contains clinical data and MR imaging summary variables for CHS participants who consented to general use of their imaging findings. Electronic files of the images reside at the MRI Reading Center with Dr. Yousem.

CHS investigators have published articles on the association of MR imaging abnormalities with cardiovascular (4–9), disease and cognitive impairment with aging (10–18). Investigators have correlated the presence of MR-demonstrated infarctions on T2-weighted images and clinical history of transient ischemic attacks (19), homocysteine levels (20), diabetes and stroke (4, 6, 8, 21), sonographically demonstrated carotid atherosclerosis and stroke (9, 22), incidence of white matter foci (4, 8, 10, 11) and many vascular risk factors (4, 5), sex (12), and age (15, 23) have been published. Others have used volumetric pulse sequences to analyze relationships of brain size with age or educational level (24). Current studies in progress include evaluations of change in MR imaging measurements between two studies and their associations with cognitive function, risk factors, and outcomes. More work and creative ideas are needed in all of these areas to maximize this resource. Exploring associations with laboratory, clinical, echocardiographic, or electrocardiographic data are also possible. For example, an investigator wishing to correlate apolipoprotein E allelic type with rate of temporal lobe volume loss between two time points could use CHS data to his or her advantage. If one wanted to correlate depression with orbitofrontal ischemic changes, CHS could supply age- and sex-adjusted scales for both. The wealth of data present in this material is astounding, because both imaging and clinical-laboratory data are of excellent quality.

Now that this resource has become electronically available, the onus is on the members of the neurosciences community not to squander this opportunity. This invitation to participate is initially extended to neuroradiologic and general radiologic researchers to partake of the fruits of many years’ labor. The database will also be of interest to our clinical colleagues, and subsequent editorials and promotional advertisements will appear in clinical journals and websites.

Who within the neuroradiologic community will take advantage of this opportunity?

Footnotes

  • Supported by NIH NO1HC15103, M13. Cardiovascular Health Study, MRI Reading Center.

References

  1. Tell GS, Fried LP, Hermanson B, Manolio TA, Newman AB, Borhani NO. Recruitment of adults 65 years and older as participants in the Cardiovascular Health Study. Ann Epidemiol 1993;3:358–366
  2. Fried LP, Borhani NO, Enright P, et al. The Cardiovascular Health Study: design and rationale. Ann Epidemiol 1991;1:263–276
  3. Ives DG, Fitzpatrick AL, Bild DE, et al. Surveillance and ascertainment of cardiovascular events. The Cardiovascular Health Study. Ann Epidemiol 1995;5:278–285
  4. Kuller LH, Velentgas P, Barzilay J, Beauchamp NJ, O’Leary DH, Savage PJ. Diabetes mellitus: subclinical cardiovascular disease and risk of incident cardiovascular disease and all-cause mortality. Arterioscler Thromb Vasc Biol 2000;20:823–829
  5. Psaty BM, Furberg CD, Kuller LH, et al. Association between blood pressure level and the risk of myocardial infarction, stroke, and total mortality: the cardiovascular health study. Arch Intern Med 2001;161:1183–1192
  6. Manolio TA, Kronmal RA, Burke GL, et al. Magnetic resonance abnormalities and cardiovascular disease in older adults. The Cardiovascular Health Study. Stroke 1994;25:318–327
  7. Brian RN, Cai J, Burke G, et al. Prevalence and anatomic characteristics of infarct-like lesions on MR images of middle-aged adults: the atherosclerosis risk in communities study. AJNR Am J Neuroradiol 1999;20:1273–1280
  8. Longstreth WT, Jr., Bernick C, Manolio TA, Bryan N, Jungreis CA, Price TR. Lacunar infarcts defined by magnetic resonance imaging of 3660 elderly people: the Cardiovascular Health Study. Arch Neurol 1998;55:1217–1225
  9. Longstreth WT, Jr., Shemanski L, Lefkowitz D, O’Leary DH, Polak JF, Wolfson SK, Jr. Asymptomatic internal carotid artery stenosis defined by ultrasound and the risk of subsequent stroke in the elderly: the Cardiovascular Health Study. Stroke 1998;29:2371–2376
  10. Longstreth WT, Jr., Arnold AM, Manolio TA, et al. Clinical correlates of ventricular and sulcal size on cranial magnetic resonance imaging of 3,301 elderly people. The Cardiovascular Health Study. Collaborative Research Group Neuroepidemiology 2000;19:30–42
  11. Longstreth WT, Jr. Brain abnormalities in the elderly: frequency and predictors in the United States (the Cardiovascular Health Study). Cardiovascular Health Study Collaborative Research Group. J Neural Transm Suppl 1998;53:9–16
  12. Coffey CE, Lucke JF, Saxton JA, et al. Sex differences in brain aging: a quantitative magnetic resonance imaging study. Arch Neurol 1998;55:169–179
  13. Longstreth WT, Jr., Diehr P, Manolio TA, Beauchamp NJ, Jungreis CA, Lefkowitz D. Cluster analysis and patterns of findings on cranial magnetic resonance imaging of the elderly: the Cardiovascular Health Study. Arch Neurol 2001;58:635–640
  14. Longstreth WT, Jr., Dulberg C, Manolio TA, et al. Incidence, manifestations, and predictors of brain infarcts defined by serial cranial magnetic resonance imaging in the elderly: the Cardiovascular Health Study. Stroke 2002;33:2376–2382
  15. Yue NC, Arnold AM, Longstreth WT, Jr., et al. Sulcal, ventricular, and white matter changes at MR imaging in the aging brain: data from the cardiovascular health study. Radiology 1997;202:33–39
  16. Kuller LH. Risk factors for dementia in the Cardiovascular Health Study cognition study. Rev Neurol 2003;37:122–126
  17. Lopez OL, Kuller LH, Fitzpatrick A, Ives D, Becker JT, Beauchamp N. Evaluation of dementia in the cardiovascular health cognition study. Neuroepidemiology 2003;22:1–12
  18. Lopez OL, Jagust WJ, Dulberg C, et al. Risk factors for mild cognitive impairment in the Cardiovascular Health Study Cognition Study: part 2. Arch Neurol 2003;60:1394–1399
  19. Bhadelia RA, Anderson M, Polak JF, et al. Prevalence and associations of MRI-demonstrated brain infarcts in elderly subjects with a history of transient ischemic attack. The Cardiovascular Health Study. Stroke 1999;30:383–388
  20. Longstreth WT, Jr., Katz R, Olson J, et al. Plasma total homocysteine levels and cranial magnetic resonance imaging findings in elderly persons: the Cardiovascular Health Study. Arch Neurol 2004;61:67–72
  21. Howard G, Manolio TA, Burke GL, Wolfson SK, O’Leary DH. Does the association of risk factors and atherosclerosis change with age? An analysis of the combined ARIC and CHS cohorts. The Atherosclerosis Risk in Communities (ARIC) and Cardiovascular Health Study (CHS) investigators. Stroke 1997;28:1693–1701
  22. Manolio TA, Burke GL, O’Leary DH, et al. Relationships of cerebral MRI findings to ultrasonographic carotid atherosclerosis in older adults: the Cardiovascular Health Study. CHS Collaborative Research Group. Arterioscler Thromb Vasc Biol 1999;19:356–365
  23. Longstreth WT, Jr., Diehr P, Beauchamp NJ, Manolio TA. Patterns on cranial magnetic resonance imaging in elderly people and vascular disease outcomes. Arch Neurol 2001;58:2074
  24. Coffey CE, Saxton JA, Ratcliff G, Bryan RN, Lucke JF. Relation of education to brain size in normal aging: implications for the reserve hypothesis. Neurology 1999;53:189–196
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