Filters








2,825 Hits in 5.9 sec

Classification of amyloid-positivity in controls: Comparison of visual read and quantitative approaches

Ann D. Cohen, Wenzhu Mowrey, Lisa A. Weissfeld, Howard J. Aizenstein, Eric McDade, James M. Mountz, Robert D. Nebes, Judith A. Saxton, Beth Snitz, Steven DeKosky, Jeff Williamson, Oscar L. Lopez (+3 others)
2013 NeuroImage  
IO was developed using full-dynamic atrophy-corrected PiB PET data obtained from a group of control subjects with a fairly distinct separation between PiB-positive [PiB(+)] and PiB-negative [PiB(-)] subjects  ...  Developments in amyloid imaging since the initial report of IO have led us to re-examine the generalizability of this method.  ...  Acknowledgments Supported by: The National Institutes of Health grants: K01 AG037562, R01 AG033042, P50 AG005133, R37 AG025516, P01 AG025204.  ... 
doi:10.1016/j.neuroimage.2013.01.015 pmid:23353602 pmcid:PMC3605888 fatcat:d5pnduryyzfyjmt2sxoqskdtvm

Comparison of qualitative and quantitative imaging characteristics of [ 11 C]PiB and [ 18 F]flutemetamol in normal control and Alzheimer's subjects

James M. Mountz, Charles M. Laymon, Ann D. Cohen, Zheng Zhang, Julie C. Price, Sanaa Boudhar, Eric McDade, Howard J. Aizenstein, William E. Klunk, Chester A. Mathis
2015 NeuroImage: Clinical  
Both tracers performed similarly when a standardized visual read technique was used to classify scans as amyloid-positive or amyloid-negative and correlated well with SUVR classifications.  ...  We studied both normal and AD subjects to assess the uptake characteristics across a range of amyloid positivity. Blinded visual reads were conducted by five raters.  ...  Additional support, in part, from grants NIH P50 AG005133, P01 AG025204 and R37 AG025516 is acknowledged. We also greatly appreciate the recruitment efforts of Ms. Claire McConaha.  ... 
doi:10.1016/j.nicl.2015.10.007 pmid:26640770 pmcid:PMC4633837 fatcat:blg5ylwdnvfxxhqnnbf2wreami

Performance Characteristics of Amyloid PET with Florbetapir F 18 in Patients with Alzheimer's Disease and Cognitively Normal Subjects

A. D. Joshi, M. J. Pontecorvo, C. M. Clark, A. P. Carpenter, D. L. Jennings, C. H. Sadowsky, L. P. Adler, K. D. Kovnat, J. P. Seibyl, A. Arora, K. Saha, J. D. Burns (+3 others)
2012 Journal of Nuclear Medicine  
At both dose levels, visual ratings of amyloid burden identified 100% of AD subjects as Ab-positive and 100% of YHCs as Ab-negative.  ...  In a separate set of subjects (AD, n 5 10; YHCs, n 5 10), test-retest reliability was evaluated by comparing intrasubject visual read ratings and SUVrs for 2 PET images acquired within 4 wk of each other  ...  There was a high level of agreement between the visual read classification (b-amyloid-positive or b-amyloid-negative) for the test and retest images.  ... 
doi:10.2967/jnumed.111.090340 pmid:22331215 fatcat:inxz7hwq6rb2lpxoxmp3j5wcpu

Automated Quantification of 18F-Flutemetamol PET Activity for Categorizing Scans as Negative or Positive for Brain Amyloid: Concordance with Visual Image Reads

L. Thurfjell, J. Lilja, R. Lundqvist, C. Buckley, A. Smith, R. Vandenberghe, P. Sherwin
2014 Journal of Nuclear Medicine  
http://jnm.snmjournals.org/content/55/10/1623 This article and updated information are available at: http://jnm.snmjournals.org/site/subscriptions/online.xhtml Information about subscriptions to JNM can  ...  Comparison with visual read results showed that all falsepositive scans were positive also by visual read and 3 of 4 falsenegative scans were negative by visual read (Fig. 3) .  ...  The 3 false-positive were all positive by visual read, and 3 of the 4 false-negative were negative by visual read.  ... 
doi:10.2967/jnumed.114.142109 pmid:25146124 fatcat:whvmnfcnxvhx5l6zynhwqzyeue

Florbetapir (F18-AV-45) PET to assess amyloid burden in Alzheimer's disease dementia, mild cognitive impairment, and normal aging

Keith A. Johnson, Reisa A. Sperling, Christopher M. Gidicsin, Jeremy S. Carmasin, Jacqueline E. Maye, Ralph E. Coleman, Eric M. Reiman, Marwan N. Sabbagh, Carl H. Sadowsky, Adam S. Fleisher, P. Murali Doraiswamy, Alan P. Carpenter (+7 others)
2013 Alzheimer's & Dementia  
Results-Florbetapir PET was visually rated amyloid positive in 76% of AD, 38% of MCI and 14% of HC. 84% of AD, 42% of MCI, and 23% of HC were classified as amyloid positive using a quantitative threshold  ...  Amyloid burden was assessed visually and quantitatively and classified as positive or negative.  ...  DISCUSSION This phase 2 study of the amyloid PET agent Florbetapir F 18, used both qualitatively (visual read) and quantitatively derived definitions of amyloid positivity.  ... 
doi:10.1016/j.jalz.2012.10.007 pmid:23375563 pmcid:PMC3800236 fatcat:7wirifgrwnamxc5mj4m44ztv3i

Determining Amyloid-β positivity using [18F]AZD4694 PET imaging

Joseph Therriault, Andrea Benedet, Tharick Ali Pascoal, Melissa Savard, Nicholas Ashton, Mira Chamoun, Cecile Tissot, Firoza Lussier, Min Su (Peter) Kang, Gleb Bergin, Tina Wang, Jaime Fernandez-Arias (+8 others)
2020 Journal of Nuclear Medicine  
classification of CU elderly vs AD dementia, ROC curves based on visual Aβ+/Aβ- classification, Gaussian Mixture Modeling and comparison with cerebrospinal fluid measures of amyloid-β, specifically the  ...  While clinical use of amyloid-PET currently is made by visual inspection of scans, quantitative thresholds may be helpful to arbitrate disagreement among raters or in borderline cases.  ...  Defining quantitative thresholds may provide additional information to visual reads which may facilitate classification of visually borderline cases. 18F-AZD4694 is a high affinity [equilibrium dissociation  ... 
doi:10.2967/jnumed.120.245209 pmid:32737243 fatcat:op64nnhexvc5vh45tu7ga44nki

Binary classification of 18F-flutemetamol PET using machine learning: Comparison with visual reads and structural MRI

Rik Vandenberghe, Natalie Nelissen, Eric Salmon, Adrian Ivanoiu, Steen Hasselbalch, Allan Andersen, Alex Korner, Lennart Minthon, David J. Brooks, Koen Van Laere, Patrick Dupont
2013 NeuroImage  
In a leave-one-out approach, we trained the 18 F-flutemetamol based classifier by means of the visual reads and tested whether the classifier was able to reproduce the assignment based on visual reads  ...  The visual read-based binary classification of 18 F-flutemetamol scans can be replicated using SVM.  ...  RV is a senior clinical investigator of the Research Foundation Flanders (FWO), NN a postdoctoral fellow of the FWO.  ... 
doi:10.1016/j.neuroimage.2012.09.015 pmid:22982358 fatcat:byke6p6prvbp5dham3jnmu6pz4

Visual assessment of [18F]flutemetamol PET images can detect early amyloid pathology and grade its extent

Lyduine E Collij, Gemma Salvadó, Mahnaz Shekari, Isadora Lopes Alves, Juhan Reimand, Alle Meije Wink, Marissa Zwan, Aida Niñerola-Baizán, Andrés Perissinotti, Philip Scheltens, Milos D Ikonomovic, Adrian P L Smith (+8 others)
2021 European Journal of Nuclear Medicine and Molecular Imaging  
To investigate the sensitivity of visual read (VR) to detect early amyloid pathology and the overall utility of regional VR. [18F]Flutemetamol PET images of 497 subjects (ALFA+ N = 352; ADC N = 145) were  ...  VR is an appropriate method for assessing early amyloid pathology and that grading the extent of visual amyloid positivity could present clinical value.  ...  In future clinical routine, documenting the extent of amyloid burden could be a valuable asset in addition to the final read classification of amyloid negative/positive.  ... 
doi:10.1007/s00259-020-05174-2 pmid:33615397 fatcat:biqdowmykrdqtemplu6bjtn46m

A multisite analysis of the concordance between visual image interpretation and quantitative analysis of [18F]flutemetamol amyloid PET images

Marco Bucci, Irina Savitcheva, Gill Farrar, Gemma Salvadó, Lyduine Collij, Vincent Doré, Juan Domingo Gispert, Roger Gunn, Bernard Hanseeuw, Oskar Hansson, Mahnaz Shekari, Renaud Lhommel (+6 others)
2021 European Journal of Nuclear Medicine and Molecular Imaging  
Quantitation of amyloid PET shows a high agreement vs binary visual reading and also allows for a continuous measure that, in conjunction with possible discordant analysis, could be used in the future  ...  Quantitation is however fundamental to the practice of nuclear medicine and hence can be used to supplement amyloid reading methodology especially in unclear cases.  ...  between visual read and quantitation, the quantitation provides the positivity relevant to progression for AD.  ... 
doi:10.1007/s00259-021-05311-5 pmid:33844055 fatcat:4e6o4evoajf6lm3on7zsqc54qi

Classifying Alzheimer's disease, Lewy body dementia, and normal controls using 3D texture analysis in magnetic resonance images

Ketil Oppedal, Kjersti Engan, Trygve Eftestøl, Mona Beyer, Dag Aarsland
2017 Biomedical Signal Processing and Control  
NC classification problems for both the 2D-and 3D texture analysis approaches. In the AD vs.  ...  ), and normal controls (NC).  ...  NC classification problems for both the 2D-and 3D texture analysis approaches. In the AD vs.  ... 
doi:10.1016/j.bspc.2016.10.007 fatcat:5wzpvtujt5c7feyjki24s2npsi

Derivation of cutoffs for the Elecsys ® amyloid β (1–42) assay in Alzheimer's disease

Leslie M. Shaw, Teresa Waligorska, Leona Fields, Magdalena Korecka, Michal Figurski, John Q. Trojanowski, Udo Eichenlaub, Simone Wahl, Marian Quan, Michael J. Pontecorvo, D. Richard Lachno, Jayne A. Talbot (+3 others)
2018 Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring  
An Elecsys® Amyloid β (Aβ [1-42]) immunoassay cutoff for classification of patients with Alzheimer's disease was investigated.  ...  F 18 imaging (visual read: 1198 [998-1591] pg/mL; automated: 1198 [1051-1638] pg/mL).  ...  florbetapir F 18 imaging classifications according to visual read and SUVR outcomes.  ... 
doi:10.1016/j.dadm.2018.07.002 pmid:30426066 pmcid:PMC6222032 fatcat:vekmnjwenvc2bcc7um2hwjpnme

PET amyloid in normal aging: direct comparison of visual and automatic processing methods

Sven Haller, Marie-Louise Montandon, Johan Lilja, Cristelle Rodriguez, Valentina Garibotto, François R. Herrmann, Panteleimon Giannakopoulos
2020 Scientific Reports  
We directly compared in 155 elderly controls with extensive neuropsychological testing at baseline and 4.5 years follow-up three approaches: (i) operator-dependent standard visual reading, (ii) operator-independent  ...  Using visually-established amyloid positivity as the gold standard, the area under the receiver operating characteristic curve (ROC) was computed.  ...  The classification of discordant cases was made by a senior radiologist blind to the previous readings. Automatic spatial normalization and Aβ-index.  ... 
doi:10.1038/s41598-020-73673-1 pmid:33028945 fatcat:3gajdatj7rct3omyhzpdcyny64

Predicting amyloid status in corticobasal syndrome using modified clinical criteria, magnetic resonance imaging and fluorodeoxyglucose positron emission tomography

Sharon J Sha, Pia M Ghosh, Suzee E Lee, Chiara Corbetta-Rastelli, Willian J Jagust, John Kornak, Katherine P Rankin, Lea T Grinberg, Harry V Vinters, Mario F Mendez, Dennis W Dickson, William W Seeley (+5 others)
2015 Alzheimer's Research & Therapy  
Visual MRI reads had 73% sensitivity and 46% specificity for PIB+ status with moderate intra-rater reliability (Cohen's kappa = 0.42).  ...  Group comparisons demonstrate greater visuospatial and memory deficits and temporoparietal-predominant degeneration on neuroimaging in patients with corticobasal syndrome (CBS) found to have Alzheimer's  ...  of Neurology and Novartis Korea.  ... 
doi:10.1186/s13195-014-0093-y pmid:25733984 pmcid:PMC4346122 fatcat:ilzjwlzcvbdpjas3ufewkachaq

Neuroimaging Feature Terminology: A Controlled Terminology for the Annotation of Brain Imaging Features

Anandhi Iyappan, Erfan Younesi, Alberto Redolfi, Henri Vrooman, Shashank Khanna, Giovanni B. Frisoni, Martin Hofmann-Apitius
2017 Journal of Alzheimer's Disease  
Ontologies and terminologies are used for interoperability of knowledge and data in a standard manner among interdisciplinary research groups.  ...  In this paper, we demonstrate the systematic retrieval of measured indices from literature and how the extracted knowledge can be further used for disease modeling that integrates neuroimaging features  ...  Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense  ... 
doi:10.3233/jad-161148 pmid:28731430 pmcid:PMC5611802 fatcat:jb7h3ikqfrhddasmq6b2kymd4q

Heterogeneity of Amyloid Binding in Cognitively Impaired Patients Consecutively Recruited from a Memory Clinic: Evaluating the Utility of Quantitative 18F-Flutemetamol PET-CT in Discrimination of Mild Cognitive Impairment from Alzheimer's Disease and Other Dementias

Yi-Wen Bao, Anson C.M. Chau, Patrick Ka-Chun Chiu, Yat Fung Shea, Joseph S.K. Kwan, Felix Hon Wai Chan, Henry Ka-Fung Mak
2020 Journal of Alzheimer's Disease  
Aβ binding in SCD, MCI, and OD was heterogeneous, being 23%, 38.5%, and 42.9% respectively, as compared to 100% amyloid positivity in AD.  ...  Quantitative analysis of 16 region-of-interests made by Cortex ID software (GE Healthcare).  ...  The Group (no. of subjects) Subtype and no. of subjects Range % of positive % of positive amyloid % of positive amyloid of age amyloid scan scan by quantitative scan by quantitative by visually  ... 
doi:10.3233/jad-200890 pmid:33361593 fatcat:5abck3hbjfgl7pkcchs4jnud6u
« Previous Showing results 1 — 15 out of 2,825 results