Literature DB >> 22033599

Sensitivity and specificity of neuroimaging for the diagnosis of Alzheimer's disease.

Daniel E Wollman1, Isak Prohovnik.   

Abstract

Alzheimer's disease (AD) is one of the most devastating and cosily disorders affecting the aging population. Structural imaging (computed tomography [CT] and magnetic resonance imaging [MRI]) and functional imaging (single photon emission computed tomography [SPECT] and positron emission tomography [PET]) have been evaluated for their roles in the imaqinq diagnosis of AD. We have reviewed the recent literature to determine the capabilities of these neuroimaging techniques in comparison to current standards of clinical diagnosis. Our results indicate that there is wide variability in the accuracy of clinical assessments, in contrast to a more limited ranqe of variability of the accuracy of neuroimaqinq measurements. These results suggest that neuroimaging may serve an adjunctive role in raising this lower bound of diagnostic accuracy. Furthermore, we suggest that neuroimaging should be considered: (I) when clinical expertise is insufficient; (il) as a complement to specific likelihood ratios; and (iii) in specific types of patients, for whom clinical evaluation is inappropriate or inadequate.

Entities:  

Keywords:  Alzheimer's disease; CT; MRI; PET; SPECT; dementia; diagnosis; neuroimaging; sensitivity; specificity

Year:  2003        PMID: 22033599      PMCID: PMC3181708     

Source DB:  PubMed          Journal:  Dialogues Clin Neurosci        ISSN: 1294-8322            Impact factor:   5.986


  44 in total

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Journal:  Exp Neurol       Date:  2000-04       Impact factor: 5.330

2.  The clinical diagnosis of Alzheimer's disease.

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4.  Brain blood flow in the dementias: SPECT with histopathologic correlation in 54 patients.

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Journal:  Radiology       Date:  1997-03       Impact factor: 11.105

5.  Clinico-neuropathological correlation of Alzheimer's disease in a community-based case series.

Authors:  A Lim; D Tsuang; W Kukull; D Nochlin; J Leverenz; W McCormick; J Bowen; L Teri; J Thompson; E R Peskind; M Raskind; E B Larson
Journal:  J Am Geriatr Soc       Date:  1999-05       Impact factor: 5.562

6.  FDG PET imaging in patients with pathologically verified dementia.

Authors:  J M Hoffman; K A Welsh-Bohmer; M Hanson; B Crain; C Hulette; N Earl; R E Coleman
Journal:  J Nucl Med       Date:  2000-11       Impact factor: 10.057

7.  Statins and the risk of dementia.

Authors:  H Jick; G L Zornberg; S S Jick; S Seshadri; D A Drachman
Journal:  Lancet       Date:  2000-11-11       Impact factor: 79.321

8.  CT measurement of medial temporal lobe atrophy in Alzheimer's disease, vascular dementia, depression and paraphrenia.

Authors:  A Denihan; G Wilson; C Cunningham; D Coakley; B A Lawlor
Journal:  Int J Geriatr Psychiatry       Date:  2000-04       Impact factor: 3.485

9.  Clinicopathologic correlates in Alzheimer disease: assessment of clinical and pathologic diagnostic criteria.

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Journal:  Alzheimer Dis Assoc Disord       Date:  1993       Impact factor: 2.703

10.  Validity of clinical diagnosis in dementia: a prospective clinicopathological study.

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Journal:  J Neurol Neurosurg Psychiatry       Date:  1985-11       Impact factor: 10.154

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  9 in total

1.  Validation of olfactory deficit as a biomarker of Alzheimer disease.

Authors:  Matthew R Woodward; Chaitanya V Amrutkar; Harshit C Shah; Ralph H B Benedict; Sanjanaa Rajakrishnan; Rachelle S Doody; Li Yan; Kinga Szigeti
Journal:  Neurol Clin Pract       Date:  2017-02

2.  Synthetic MRI for Clinical Neuroimaging: Results of the Magnetic Resonance Image Compilation (MAGiC) Prospective, Multicenter, Multireader Trial.

Authors:  L N Tanenbaum; A J Tsiouris; A N Johnson; T P Naidich; M C DeLano; E R Melhem; P Quarterman; S X Parameswaran; A Shankaranarayanan; M Goyen; A S Field
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-27       Impact factor: 3.825

Review 3.  The appropriate use of neuroimaging in the diagnostic work-up of dementia: an evidence-based analysis.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2014-02-01

Review 4.  Increasing Precision of Clinical Diagnosis of Alzheimer's Disease Using a Combined Algorithm Incorporating Clinical and Novel Biomarker Data.

Authors:  Marwan N Sabbagh; Lih-Fen Lue; Daniel Fayard; Jiong Shi
Journal:  Neurol Ther       Date:  2017-07-21

5.  Age-Specific Cutoff Scores on a T1-Weighted Axial Medial Temporal-Lobe Atrophy Visual Rating Scale in Alzheimer's Disease Using Clinical Research Center for Dementia of South Korea Data.

Authors:  Gyeong Seon Choi; Geon Ha Kim; Ji Hyun Choi; Jihye Hwang; Eunjin Kwon; Seung Ah Lee; Kyoung Ae Kong; Hee Jin Kang; Bora Yoon; Byeong C Kim; Dong Wno Yang; Duk L Na; Eun Joo Kim; Hae Ri Na; Hyun Jeong Han; Jae Hong Lee; Jong Hun Kim; Kang Youn Lee; Kee Hyung Park; Kyung Won Park; SangYun Kim; Seol Heui Han; Seong Yoon Kim; Soo Jin Yoon; So Young Moon; Young Chul Youn; Seong Hye Choi; Jee Hyang Jeong
Journal:  J Clin Neurol       Date:  2018-07       Impact factor: 3.077

6.  Improved Diagnostic Accuracy of Alzheimer's Disease by Combining Regional Cortical Thickness and Default Mode Network Functional Connectivity: Validated in the Alzheimer's Disease Neuroimaging Initiative Set.

Authors:  Ji Eun Park; Bumwoo Park; Sang Joon Kim; Ho Sung Kim; Choong Gon Choi; Seung Chai Jung; Joo Young Oh; Jae-Hong Lee; Jee Hoon Roh; Woo Hyun Shim
Journal:  Korean J Radiol       Date:  2017-09-21       Impact factor: 3.500

Review 7.  Neurosonological Examination: A Non-Invasive Approach for the Detection of Cerebrovascular Impairment in AD.

Authors:  Barbora Urbanova; Ales Tomek; Robert Mikulik; Hana Magerova; Daniel Horinek; Jakub Hort
Journal:  Front Behav Neurosci       Date:  2014-01-21       Impact factor: 3.558

8.  A similarity-based approach to leverage multi-cohort medical data on the diagnosis and prognosis of Alzheimer's disease.

Authors:  Hongjiu Zhang; Fan Zhu; Hiroko H Dodge; Gerald A Higgins; Gilbert S Omenn; Yuanfang Guan
Journal:  Gigascience       Date:  2018-07-01       Impact factor: 6.524

9.  Select Atrophied Regions in Alzheimer disease (SARA): An improved volumetric model for identifying Alzheimer disease dementia.

Authors:  Lauren N Koenig; Gregory S Day; Amber Salter; Sarah Keefe; Laura M Marple; Justin Long; Pamela LaMontagne; Parinaz Massoumzadeh; B Joy Snider; Manasa Kanthamneni; Cyrus A Raji; Nupur Ghoshal; Brian A Gordon; Michelle Miller-Thomas; John C Morris; Joshua S Shimony; Tammie L S Benzinger
Journal:  Neuroimage Clin       Date:  2020-03-16       Impact factor: 4.881

  9 in total

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