Tags

Type your tag names separated by a space and hit enter

T1rho MRI and CSF biomarkers in diagnosis of Alzheimer's disease.
Neuroimage Clin. 2015; 7:598-604.NC

Abstract

In the current study, we have evaluated the performance of magnetic resonance (MR) T1rho (T1ρ) imaging and CSF biomarkers (T-tau, P-tau and Aβ-42) in characterization of Alzheimer's disease (AD) patients from mild cognitive impairment (MCI) and control subjects. With informed consent, AD (n = 27), MCI (n = 17) and control (n = 17) subjects underwent a standardized clinical assessment and brain MRI on a 1.5-T clinical-scanner. T1ρ images were obtained at four different spin-lock pulse duration (10, 20, 30 and 40 ms). T1ρ maps were generated by pixel-wise fitting of signal intensity as a function of the spin-lock pulse duration. T1ρ values from gray matter (GM) and white matter (WM) of medial temporal lobe were calculated. The binary logistic regression using T1ρ and CSF biomarkers as variables was performed to classify each group. T1ρ was able to predict 77.3% controls and 40.0% MCI while CSF biomarkers predicted 81.8% controls and 46.7% MCI. T1ρ and CSF biomarkers in combination predicted 86.4% controls and 66.7% MCI. When comparing controls with AD, T1ρ predicted 68.2% controls and 73.9% AD, while CSF biomarkers predicted 77.3% controls and 78.3% for AD. Combination of T1ρ and CSF biomarkers improved the prediction rate to 81.8% for controls and 82.6% for AD. Similarly, on comparing MCI with AD, T1ρ predicted 35.3% MCI and 81.9% AD, whereas CSF biomarkers predicted 53.3% MCI and 83.0% AD. Collectively CSF biomarkers and T1ρ were able to predict 59.3% MCI and 84.6% AD. On receiver operating characteristic analysis T1ρ showed higher sensitivity while CSF biomarkers showed greater specificity in delineating MCI and AD from controls. No significant correlation between T1ρ and CSF biomarkers, between T1ρ and age, and between CSF biomarkers and age was observed. The combined use of T1ρ and CSF biomarkers have promise to improve the early and specific diagnosis of AD. Furthermore, disease progression form MCI to AD might be easily tracked using these two parameters in combination.

Links

PMC Free PDF

Authors+Show Affiliations

Haris M
Research Branch, Sidra Medical and Research Center, Doha, Qatar ; Center for Magnetic Resonance and Optical Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
Yadav SK
Research Branch, Sidra Medical and Research Center, Doha, Qatar.
Rizwan A
All India Institute of Medical Science, Ansari Nagar East, New Delhi, Delhi 110029, India.
Singh A
Center for Magnetic Resonance and Optical Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA ; Center for Biomedical Engineering, Indian institute of Technology, New Delhi, India.
Cai K
Center for Magnetic Resonance and Optical Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA ; Center for Magnetic Resonance Research, Radiology Department, University of Illinois at Chicago, IL, USA.
Kaura D
Research Branch, Sidra Medical and Research Center, Doha, Qatar.
Wang E
Research Branch, Sidra Medical and Research Center, Doha, Qatar.
Davatzikos C
Section of Biomedical Image Analysis, University of Pennsylvania, Philadelphia, PA, USA.
Trojanowski JQ
Department of Pathology & Lab Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Melhem ER
Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
Marincola FM
Research Branch, Sidra Medical and Research Center, Doha, Qatar.
Borthakur A
Center for Magnetic Resonance and Optical Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.

MeSH

AgedAlzheimer DiseaseAmyloid beta-PeptidesArea Under CurveBiomarkersCognitive DysfunctionFemaleHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleNeuropsychological TestsROC CurveSensitivity and Specificitytau Proteins

Pub Type(s)

Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

25844314

Citation

Haris, Mohammad, et al. "T1rho MRI and CSF Biomarkers in Diagnosis of Alzheimer's Disease." NeuroImage. Clinical, vol. 7, 2015, pp. 598-604.
Haris M, Yadav SK, Rizwan A, et al. T1rho MRI and CSF biomarkers in diagnosis of Alzheimer's disease. Neuroimage Clin. 2015;7:598-604.
Haris, M., Yadav, S. K., Rizwan, A., Singh, A., Cai, K., Kaura, D., Wang, E., Davatzikos, C., Trojanowski, J. Q., Melhem, E. R., Marincola, F. M., & Borthakur, A. (2015). T1rho MRI and CSF biomarkers in diagnosis of Alzheimer's disease. NeuroImage. Clinical, 7, 598-604. https://doi.org/10.1016/j.nicl.2015.02.016
Haris M, et al. T1rho MRI and CSF Biomarkers in Diagnosis of Alzheimer's Disease. Neuroimage Clin. 2015;7:598-604. PubMed PMID: 25844314.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - T1rho MRI and CSF biomarkers in diagnosis of Alzheimer's disease. AU - Haris,Mohammad, AU - Yadav,Santosh K, AU - Rizwan,Arshi, AU - Singh,Anup, AU - Cai,Kejia, AU - Kaura,Deepak, AU - Wang,Ena, AU - Davatzikos,Christos, AU - Trojanowski,John Q, AU - Melhem,Elias R, AU - Marincola,Francesco M, AU - Borthakur,Arijitt, Y1 - 2015/02/26/ PY - 2014/09/29/received PY - 2015/02/22/revised PY - 2015/02/23/accepted PY - 2015/4/7/entrez PY - 2015/4/7/pubmed PY - 2016/1/15/medline KW - AD, Alzheimer's disease KW - Alzheimer's disease KW - Aβ1-42, amyloid beta 42 KW - CSF biomarkers KW - CSF, cerebrospinal fluid KW - FOV, field of view KW - GM, gray matter KW - MCI, mild cognitive impairment KW - MMSE, Mini-Mental State Examination KW - MPRAGE, magnetization prepared rapid acquisition gradient-echo KW - MRI, magnetic resonance imaging KW - MTL, medial temporal lobe KW - Medial temporal lobe KW - Mild cognitive impairment KW - PET, positron emission tomography KW - ROC, receiver operating characteristic. KW - T-tau, total tau KW - T1rho KW - T1ρ, T1rho KW - TE, echo time KW - TI, inversion time KW - TR, repetition time KW - TSL, total spin lock KW - WM, white matter SP - 598 EP - 604 JF - NeuroImage. Clinical JO - Neuroimage Clin VL - 7 N2 - In the current study, we have evaluated the performance of magnetic resonance (MR) T1rho (T1ρ) imaging and CSF biomarkers (T-tau, P-tau and Aβ-42) in characterization of Alzheimer's disease (AD) patients from mild cognitive impairment (MCI) and control subjects. With informed consent, AD (n = 27), MCI (n = 17) and control (n = 17) subjects underwent a standardized clinical assessment and brain MRI on a 1.5-T clinical-scanner. T1ρ images were obtained at four different spin-lock pulse duration (10, 20, 30 and 40 ms). T1ρ maps were generated by pixel-wise fitting of signal intensity as a function of the spin-lock pulse duration. T1ρ values from gray matter (GM) and white matter (WM) of medial temporal lobe were calculated. The binary logistic regression using T1ρ and CSF biomarkers as variables was performed to classify each group. T1ρ was able to predict 77.3% controls and 40.0% MCI while CSF biomarkers predicted 81.8% controls and 46.7% MCI. T1ρ and CSF biomarkers in combination predicted 86.4% controls and 66.7% MCI. When comparing controls with AD, T1ρ predicted 68.2% controls and 73.9% AD, while CSF biomarkers predicted 77.3% controls and 78.3% for AD. Combination of T1ρ and CSF biomarkers improved the prediction rate to 81.8% for controls and 82.6% for AD. Similarly, on comparing MCI with AD, T1ρ predicted 35.3% MCI and 81.9% AD, whereas CSF biomarkers predicted 53.3% MCI and 83.0% AD. Collectively CSF biomarkers and T1ρ were able to predict 59.3% MCI and 84.6% AD. On receiver operating characteristic analysis T1ρ showed higher sensitivity while CSF biomarkers showed greater specificity in delineating MCI and AD from controls. No significant correlation between T1ρ and CSF biomarkers, between T1ρ and age, and between CSF biomarkers and age was observed. The combined use of T1ρ and CSF biomarkers have promise to improve the early and specific diagnosis of AD. Furthermore, disease progression form MCI to AD might be easily tracked using these two parameters in combination. SN - 2213-1582 UR - https://www.unboundmedicine.com/medline/citation/25844314/T1rho_MRI_and_CSF_biomarkers_in_diagnosis_of_Alzheimer's_disease_ DB - PRIME DP - Unbound Medicine ER -