NEUROLOGY 2007;68:828-836
© 2007 American Academy of Neurology
Hippocampal and entorhinal atrophy in mild cognitive impairmentPrediction of Alzheimer disease
D. P. Devanand, MD,
G. Pradhaban, MBBS,
X. Liu, PhD,
A. Khandji, MD,
S. De Santi, PhD,
S. Segal, MD,
H. Rusinek, PhD,
G. H. Pelton, MD,
L. S. Honig, MD, PhD,
R. Mayeux, MD,
Y. Stern, PhD,
M. H. Tabert, PhD and
M. J. de Leon, EdD
From the Department of Biological Psychiatry, New York State Psychiatric Institute, College of Physicians and Surgeons, Columbia University (D.P.D., G.P., S.S., G.H.P., R.M., Y.S., M.H.T.); Gertrude H. Sergievsky Center and the Departments of Neurology (D.P.D., G.H.P., L.S.H., R.M., Y.S.) and Radiology (A.K.), College of Physicians and Surgeons, Columbia University; Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University (D.P.D., L.S.H., R.M., Y.S.); Department of Biostatistics, Columbia University, New York, NY (X.L.); Center for Brain Health, Department of Psychiatry, New York University School of Medicine, New York, NY (S.D.S., S.S., H.R., M.J.d.L.); and the Nathan Kline Institute, Orangeburg, NY (S.D.S., H.R., M.J.d.L.).
Address correspondence and reprint requests to Dr Devanand, New York State Psychiatric Institute, College of Physicians and Surgeons, Columbia University, 1051 Riverside Drive, Unit 126, New York, NY 10032; e-mail: dpd3{at}columbia.edu
Objective: To evaluate the utility of MRI hippocampal and entorhinal cortex atrophy in predicting conversion from mild cognitive impairment (MCI) to Alzheimer disease (AD).
Methods: Baseline brain MRI was performed in 139 patients with MCI, broadly defined, and 63 healthy controls followed for an average of 5 years (range 1 to 9 years).
Results: Hippocampal and entorhinal cortex volumes were each largest in controls, intermediate in MCI nonconverters, and smallest in MCI converters to AD (37 of 139 patients converted to AD). In separate Cox proportional hazards models, covarying for intracranial volume, smaller hippocampal volume (risk ratio [RR] 3.62, 95% CI 1.93 to 6.80, p < 0.0001), and entorhinal cortex volume (RR 2.43, 95% CI 1.56 to 3.79, p < 0.0001) each predicted time to conversion to AD. Similar results were obtained for hippocampal and entorhinal cortex volume in patients with MCI with Mini-Mental State Examination (MMSE) scores 27 out of 30 (21% converted to AD) and in the subset of patients with amnestic MCI (35% converted to AD). In the total patient sample, when both hippocampal and entorhinal volume were entered into an age-stratified Cox model with sex, MMSE, education, and intracranial volume, smaller hippocampal volume (RR 2.21, 95% CI 1.14 to 4.29, p < 0.02) and entorhinal cortex volume (RR 2.48, 95% CI 1.54 to 3.97, p < 0.0002) predicted time to conversion to AD. Similar results were obtained in a Cox model that also included Selective Reminding Test (SRT) delayed recall and Wechsler Adult Intelligence Scale-Revised (WAIS-R) Digit Symbol as predictors. Based on logistic regression models in the 3-year follow-up sample, for a fixed specificity of 80%, the sensitivities for MCI conversion to AD were as follows: age 43.3%, MMSE 43.3%, age + MMSE 63.7%, age + MMSE + SRT delayed recall + WAIS-R Digit Symbol 80.6% (79.6% correctly classified), hippocampus + entorhinal cortex 66.7%, age + MMSE + hippocampus + entorhinal cortex 76.7% (85% correctly classified), age + MMSE + SRT delayed recall + WAIS-R Digit Symbol + hippocampus + entorhinal cortex 83.3% (86.8% correctly classified).
Conclusions: Smaller hippocampal and entorhinal cortex volumes each contribute to the prediction of conversion to Alzheimer disease. Age and cognitive variables also contribute to prediction, and the added value of hippocampal and entorhinal cortex volumes is small. Nonetheless, combining these MRI volumes with age and cognitive measures leads to high levels of predictive accuracy that may have potential clinical application.
Supported in part by grants AG17761, AG12101, MH55735, MH35636, MH55646, P50 AG08702, and P30 AG08051 from the National Institute on Aging and the National Institute of Mental Health.
Disclosure: The authors report no conflicts of interest.
Received April 4, 2006. Accepted in final form November 10, 2006.
This article has been cited by other articles:

|
 |

|
 |
 
D. Holland, J. B. Brewer, D. J. Hagler, C. Fenema-Notestine, A. M. Dale, and the Alzheimer's Disease Neuroimaging Initiative
Subregional neuroanatomical change as a biomarker for Alzheimer's disease
PNAS,
December 8, 2009;
106(49):
20954 - 20959.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
C. Reitz, A. M. Brickman, T. R. Brown, J. Manly, C. DeCarli, S. A. Small, and R. Mayeux
Linking Hippocampal Structure and Function to Memory Performance in an Aging Population
Arch Neurol,
November 1, 2009;
66(11):
1385 - 1392.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
O. Querbes, F. Aubry, J. Pariente, J.-A. Lotterie, J.-F. Demonet, V. Duret, M. Puel, I. Berry, J.-C. Fort, P. Celsis, et al.
Early diagnosis of Alzheimer's disease using cortical thickness: impact of cognitive reserve
Brain,
August 1, 2009;
132(8):
2036 - 2047.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
R. S. Desikan, H. J. Cabral, C. P. Hess, W. P. Dillon, C. M. Glastonbury, M. W. Weiner, N. J. Schmansky, D. N. Greve, D. H. Salat, R. L. Buckner, et al.
Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer's disease
Brain,
August 1, 2009;
132(8):
2048 - 2057.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
P. Vemuri, H. J. Wiste, S. D. Weigand, L. M. Shaw, J. Q. Trojanowski, M. W. Weiner, D. S. Knopman, R. C. Petersen, C. R. Jack Jr, and On behalf of the Alzheimer's Disease Neuroimaging
MRI and CSF biomarkers in normal, MCI, and AD subjects: Predicting future clinical change
Neurology,
July 28, 2009;
73(4):
294 - 301.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
L. K. McEvoy, C. Fennema-Notestine, J. C. Roddey, D. J. Hagler Jr, D. Holland, D. S. Karow, C. J. Pung, J. B. Brewer, and A. M. Dale
Alzheimer Disease: Quantitative Structural Neuroimaging for Detection and Prediction of Clinical and Structural Changes in Mild Cognitive Impairment
Radiology,
April 1, 2009;
251(1):
195 - 205.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
A. Bakkour, J. C. Morris, and B. C. Dickerson
The cortical signature of prodromal AD: Regional thinning predicts mild AD dementia
Neurology,
March 24, 2009;
72(12):
1048 - 1055.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
W.J.P. Henneman, J. D. Sluimer, J. Barnes, W. M. van der Flier, I. C. Sluimer, N. C. Fox, P. Scheltens, H. Vrenken, and F. Barkhof
Hippocampal atrophy rates in Alzheimer disease: Added value over whole brain volume measures
Neurology,
March 17, 2009;
72(11):
999 - 1007.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
R.S. Desikan, H.J. Cabral, B. Fischl, C.R.G. Guttmann, D. Blacker, B.T. Hyman, M.S. Albert, and R.J. Killiany
Temporoparietal MR Imaging Measures of Atrophy in Subjects with Mild Cognitive Impairment That Predict Subsequent Diagnosis of Alzheimer Disease
AJNR Am. J. Neuroradiol.,
March 1, 2009;
30(3):
532 - 538.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
J.B. Brewer, S. Magda, C. Airriess, and M.E. Smith
Fully-Automated Quantification of Regional Brain Volumes for Improved Detection of Focal Atrophy in Alzheimer Disease
AJNR Am. J. Neuroradiol.,
March 1, 2009;
30(3):
578 - 580.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
Y. Yuan, Z.-X. Gu, and W.-S. Wei
Fluorodeoxyglucose-Positron-Emission Tomography, Single-Photon Emission Tomography, and Structural MR Imaging for Prediction of Rapid Conversion to Alzheimer Disease in Patients with Mild Cognitive Impairment: A Meta-Analysis
AJNR Am. J. Neuroradiol.,
February 1, 2009;
30(2):
404 - 410.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
A J Mitchell and M Shiri-Feshki
Temporal trends in the long term risk of progression of mild cognitive impairment: a pooled analysis
J. Neurol. Neurosurg. Psychiatry,
December 1, 2008;
79(12):
1386 - 1391.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. M. Nestor, R. Rupsingh, M. Borrie, M. Smith, V. Accomazzi, J. L. Wells, J. Fogarty, R. Bartha, and the Alzheimer's Disease Neuroimaging Initiative
Ventricular enlargement as a possible measure of Alzheimer's disease progression validated using the Alzheimer's disease neuroimaging initiative database
Brain,
September 1, 2008;
131(9):
2443 - 2454.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. Bombois, S. Debette, A. Bruandet, X. Delbeuck, C. Delmaire, D. Leys, and F. Pasquier
Vascular Subcortical Hyperintensities Predict Conversion to Vascular and Mixed Dementia in MCI Patients
Stroke,
July 1, 2008;
39(7):
2046 - 2051.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
O. Colliot, G. Chetelat, M. Chupin, B. Desgranges, B. Magnin, H. Benali, B. Dubois, L. Garnero, F. Eustache, and S. Lehericy
Discrimination between Alzheimer Disease, Mild Cognitive Impairment, and Normal Aging by Using Automated Segmentation of the Hippocampus
Radiology,
July 1, 2008;
248(1):
194 - 201.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
G. Karas, J. Sluimer, R. Goekoop, W. van der Flier, S.A.R.B. Rombouts, H. Vrenken, P. Scheltens, N. Fox, and F. Barkhof
Amnestic Mild Cognitive Impairment: Structural MR Imaging Findings Predictive of Conversion to Alzheimer Disease
AJNR Am. J. Neuroradiol.,
May 1, 2008;
29(5):
944 - 949.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
J. C. M. Brust
A 74-Year-Old Man With Memory Loss and Neuropathy Who Enjoys Alcoholic Beverages
JAMA,
March 5, 2008;
299(9):
1046 - 1054.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
A. S. Fleisher, S. Sun, C. Taylor, C. P. Ward, A. C. Gamst, R. C. Petersen, C. R. Jack Jr, P. S. Aisen, L. J. Thal, and For the Alzheimer's Disease Cooperative Study
Volumetric MRI vs clinical predictors of Alzheimer disease in mild cognitive impairment
Neurology,
January 15, 2008;
70(3):
191 - 199.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
N SCHUFF and X P ZHU
Imaging of mild cognitive impairment and early dementia
Br. J. Radiol.,
December 1, 2007;
80(Special_Issue_2):
S109 - S114.
[Abstract]
[Full Text]
[PDF]
|
 |
|
|