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Applicability of in vivo staging of regional amyloid burden in a cognitively normal cohort with subjective memory complaints: the INSIGHT-preAD study

Fatemah A. Sakr, Michel J. Grothe, Enrica Cavedo, Irina Jelistratova, Marie-Odile Habert, Martin Dyrba, Gabriel Gonzalez-Escamilla, Hugo Bertin, Maxime Locatelli, Stephane Lehericy, Stefan Teipel, Bruno Dubois (+1 others)
<span title="2019-01-31">2019</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mvbrssyf7fcebaalpjhndnvzqa" style="color: black;">Alzheimer&#39;s Research &amp; Therapy</a> </i> &nbsp;
Current methods of amyloid PET interpretation based on the binary classification of global amyloid signal fail to identify early phases of amyloid deposition.  ...  A recent analysis of 18F-florbetapir PET data from the Alzheimer's disease Neuroimaging Initiative cohort suggested a hierarchical four-stage model of regional amyloid deposition that resembles neuropathologic  ...  Currently, the majority of studies use a binary classification of global amyloid signal into positive and negative categories.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13195-019-0466-3">doi:10.1186/s13195-019-0466-3</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30704537">pmid:30704537</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6357385/">pmcid:PMC6357385</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/euv3g5smijevferdb7ffmxqzw4">fatcat:euv3g5smijevferdb7ffmxqzw4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190429020332/https://alzres.biomedcentral.com/track/pdf/10.1186/s13195-019-0466-3" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/23/67/23670e340fdf2dae791215411781198e198c37c2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13195-019-0466-3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6357385" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Improved beta-amyloid PET reproducibility using two-phase acquisition and grey matter delineation

Otakar Belohlavek, Monika Jaruskova, Magdalena Skopalova, Gabriela Szarazova, Katerina Simonova
<span title="2018-08-29">2018</span> <i title="Springer Nature America, Inc"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5i3tlebejzfxfoahy2rzxggcz4" style="color: black;">European Journal of Nuclear Medicine and Molecular Imaging</a> </i> &nbsp;
A five-point scale was used to express the degree of amyloid positivity, and a binary classification (positive/negative) was used in combination with subjective confidence (five-point scale).  ...  The binary classification was concordant among all five physicians in 80.8% of the scans using the STD method and in 91.6% of the scans using the GM-EDGE method (p = 0.016).  ...  scale for subjective confidence in the binary classification of amyloid positivity.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00259-018-4140-y">doi:10.1007/s00259-018-4140-y</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30159586">pmid:30159586</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gf5cc2yymbhndoczohgyeyr3qy">fatcat:gf5cc2yymbhndoczohgyeyr3qy</a> </span>
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Ordinal Ranking for Detecting Mild Cognitive Impairment and Alzheimer's Disease Based on Multimodal Neuroimages and CSF Biomarkers [chapter]

Yong Fan
<span title="">2011</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
inherent ordinal severity of brain damage caused by normal aging, MCI, and AD, rather than formulating the classification as a multi-class classification problem.  ...  In this paper, we propose an ordinal ranking based classification method for distinguishing CN, MCI non-converter (MCI-NC), MCI converter (MCI-C), and AD at an individual level, taking into account the  ...  This study was partially supported by the National Science Foundation of China (No. 30970770) and the Hundred Talents Program of the Chinese Academy of Sciences.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-24446-9_6">doi:10.1007/978-3-642-24446-9_6</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2hpn6nmv3fgnteyw4c4pmjg7su">fatcat:2hpn6nmv3fgnteyw4c4pmjg7su</a> </span>
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A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers

Clifford R. Jack, David A. Bennett, Kaj Blennow, Maria C. Carrillo, Howard H. Feldman, Giovanni B. Frisoni, Harald Hampel, William J. Jagust, Keith A. Johnson, David S. Knopman, Ronald C. Petersen, Philip Scheltens (+2 others)
<span title="2016-07-01">2016</span> <i title="Ovid Technologies (Wolters Kluwer Health)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dogs2nidlzdtxigbzvv6d2bbc4" style="color: black;">Neurology</a> </i> &nbsp;
For example, an individual designated as A may well have amyloid plaques in the brain, but not at a sufficient level to cross the in vivo detection threshold of amyloid PET.  ...  We emphasize that binary, 1/2 categorization does not imply that individuals who fall below the cutpoint for a particular biomarker have no pathology in the brain.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1212/wnl.0000000000002923">doi:10.1212/wnl.0000000000002923</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27371494">pmid:27371494</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4970664/">pmcid:PMC4970664</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lajgcjg5fbfvdbpq36qmjevege">fatcat:lajgcjg5fbfvdbpq36qmjevege</a> </span>
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Neuroimaging in Alzheimer's disease: current role in clinical practice and potential future applications

Luiz Kobuti Ferreira, Geraldo F. Busatto
<span title="">2011</span> <i title="FapUNIFESP (SciELO)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ojfpveijtbflvbzx5op6khb3ha" style="color: black;">Clinics</a> </i> &nbsp;
Amyloid imaging is a non-invasive technique that uses positron emission tomography technology to investigate the accumulation of the b-amyloid peptide in the brain, which is a hallmark of Alzheimer's disease  ...  features for the diagnosis.  ...  biomarkers for brain amyloid deposition would be to rule out the presence of significant levels of b-amyloid in the brain.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1590/s1807-59322011001300003">doi:10.1590/s1807-59322011001300003</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/21779719">pmid:21779719</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3118433/">pmcid:PMC3118433</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ynikvwgkszfpnkgu64wn7pa474">fatcat:ynikvwgkszfpnkgu64wn7pa474</a> </span>
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Neuroimaging Modality Fusion in Alzheimer's Classification Using Convolutional Neural Networks [article]

Arjun Punjabi, Adam Martersteck, Yanran Wang, Todd B. Parrish, Aggelos K. Katsaggelos, the Alzheimer's Disease Neuroimaging Initiative
<span title="2018-11-13">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Automated methods for Alzheimer's disease (AD) classification have the potential for great clinical benefits and may provide insight for combating the disease.  ...  These algorithms often use neurological imaging data such as MRI and PET, but a comprehensive and balanced comparison of these modalities has not been performed.  ...  Non-parametric non-uniform intensity normalization (N3) [26] is a robust and well-established approach for removing this bias field.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.05105v1">arXiv:1811.05105v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/znxpebpmdjc6jjiutrldrac63u">fatcat:znxpebpmdjc6jjiutrldrac63u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201001035913/https://arxiv.org/pdf/1811.05105v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7a/8d/7a8d7e5a981e05506debb0da42bbd490afd4fa8c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.05105v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Amyloid imaging in cognitively normal older adults: comparison between 18F-flutemetamol and 11C-Pittsburgh compound B

Katarzyna Adamczuk, Jolien Schaeverbeke, Natalie Nelissen, Veerle Neyens, Mathieu Vandenbulcke, Karolien Goffin, Johan Lilja, Kelly Hilven, Patrick Dupont, Koen Van Laere, Rik Vandenberghe
<span title="2015-08-12">2015</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5i3tlebejzfxfoahy2rzxggcz4" style="color: black;">European Journal of Nuclear Medicine and Molecular Imaging</a> </i> &nbsp;
Results: Binary classification based on semiquantitative assessment was concordant between 18 F-flutemetamol and 11 C-PIB in 94% of cases.  ...  Concordance of blinded binary visual reads between tracers was 84%.  ...  Acknowledgements We would like to thank the staff of Nuclear Medicine, Neurology, and Radiology at the University Hospitals Leuven.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00259-015-3156-9">doi:10.1007/s00259-015-3156-9</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26260650">pmid:26260650</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5gb4rdy55fbe5lhp2zh53pmb7u">fatcat:5gb4rdy55fbe5lhp2zh53pmb7u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171127115021/https://core.ac.uk/download/pdf/34645422.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9e/13/9e1335dd02c46e6210d7f8613c7f09628291facb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00259-015-3156-9"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Using CT Data to Improve the Quantitative Analysis of 18F-FBB PET Neuroimages

Fermín Segovia, Raquel Sánchez-Vañó, Juan M. Górriz, Javier Ramírez, Pablo Sopena-Novales, Nathalie Testart Dardel, Antonio Rodríguez-Fernández, Manuel Gómez-Río
<span title="2018-06-07">2018</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xyafp6gbr5et3ghi4kqddnyolm" style="color: black;">Frontiers in Aging Neuroscience</a> </i> &nbsp;
This approach allows assessing potential brain amyloid deposits along with the gray matter loss and takes advantage of the structural information provided by most of the scanners used for PET examination  ...  18 F-FBB PET is a neuroimaging modality that is been increasingly used to assess brain amyloid deposits in potential patients with Alzheimer's disease (AD).  ...  For the approach using all the voxels in brain images, the intensity of the voxels was referenced to the mean uptake of the whole cerebellum.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnagi.2018.00158">doi:10.3389/fnagi.2018.00158</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29930505">pmid:29930505</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6001114/">pmcid:PMC6001114</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kleelfmljfgxvoguhi7d4dlft4">fatcat:kleelfmljfgxvoguhi7d4dlft4</a> </span>
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Neuroimaging modality fusion in Alzheimer's classification using convolutional neural networks

Arjun Punjabi, Adam Martersteck, Yanran Wang, Todd B. Parrish, Aggelos K. Katsaggelos, and the Alzheimer's Disease Neuroimaging Initiative, Stephen D Ginsberg
<span title="2019-12-05">2019</span> <i title="Public Library of Science (PLoS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s3gm7274mfe6fcs7e3jterqlri" style="color: black;">PLoS ONE</a> </i> &nbsp;
These algorithms often use neurological imaging data such as MRI and FDG PET, but a comprehensive and balanced comparison of the MRI and amyloid PET modalities has not been performed.  ...  Automated methods for Alzheimer's disease (AD) classification have the potential for great clinical benefits and may provide insight for combating the disease.  ...  The authors would also like to thank the QUEST High Performance Computing Cluster at Northwestern University for computational resources.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0225759">doi:10.1371/journal.pone.0225759</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31805160">pmid:31805160</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6894831/">pmcid:PMC6894831</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/any5f2ag7feslneve4jeo6zh4y">fatcat:any5f2ag7feslneve4jeo6zh4y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191208132742/https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0225759&amp;type=printable" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fb/64/fb64ac563daba3499b189e7239e62464f5c190cf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0225759"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894831" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Effect of age, ethnicity, sex, cognitive status and APOE genotype on amyloid load and the threshold for amyloid positivity

R. Duara, D.A. Loewenstein, G. Lizarraga, M. Adjouadi, W.W. Barker, M.T. Greig-Custo, M. Rosselli, A. Penate, Y.F. Shea, R. Behar, A. Ollarves, C. Robayo (+8 others)
<span title="2019-03-27">2019</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/47gmsc3hojdm5kdlgbg4peyvyi" style="color: black;">NeuroImage: Clinical</a> </i> &nbsp;
We calculated quantitative amyloid load, measured as Standardized Uptake Value Ratios (SUVRs) using [18-F]florbetaben PET scans, for 159 Hispanic and non-Hispanic participants, who had been classified  ...  The threshold for amyloid positivity by visual assessment on PET has been validated by comparison to amyloid load measured histopathologically and biochemically at post mortem.  ...  Duara has received consulting fees from Medical Learning Group for the Speaker's Bureau for Eli Lilly and Company. Dr. De Santi is an employee of Life Molecular Imaging Inc.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.nicl.2019.101800">doi:10.1016/j.nicl.2019.101800</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30991618">pmid:30991618</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6447735/">pmcid:PMC6447735</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6nucud7w7vf2vn74b7vwp3hlli">fatcat:6nucud7w7vf2vn74b7vwp3hlli</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200504173958/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC6447735&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/31/c2/31c296294584d51e157e91d4bfd6c291b4e55354.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.nicl.2019.101800"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447735" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

In vivo staging of regional amyloid deposition

Michel J. Grothe, Henryk Barthel, Jorge Sepulcre, Martin Dyrba, Osama Sabri, Stefan J. Teipel
<span title="2017-10-18">2017</span> <i title="Ovid Technologies (Wolters Kluwer Health)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dogs2nidlzdtxigbzvv6d2bbc4" style="color: black;">Neurology</a> </i> &nbsp;
The earliest in vivo amyloid stages were mostly missed by conventional dichotomous classification approaches based on global florbetapir-PET signal, but were associated with significantly reduced CSF Ab42  ...  Objectives: To estimate a regional progression pattern of amyloid deposition from cross-sectional amyloid-sensitive PET data and evaluate its potential for in vivo staging of an individual's amyloid pathology  ...  This cutoff lies in between the 2 most commonly used cutoffs of SUVR Cer 5 1.10 and SUVR Cer 5 1.17 for establishing amyloid positivity based on the global cortical signal 10, [25] [26] [27] in non-PVE-corrected  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1212/wnl.0000000000004643">doi:10.1212/wnl.0000000000004643</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29046362">pmid:29046362</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5711511/">pmcid:PMC5711511</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2xzm6g6ptrgntnickehvx43clu">fatcat:2xzm6g6ptrgntnickehvx43clu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190217232432/http://pdfs.semanticscholar.org/07fa/0dfd1f8acbc42651cbb646102dbe14d7aaec.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/07/fa/07fa0dfd1f8acbc42651cbb646102dbe14d7aaec.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1212/wnl.0000000000004643"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711511" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

In vivo staging of regional amyloid progression in healthy middle-aged to older people at risk of Alzheimer's disease

Fedor Levin, Irina Jelistratova, Tobey J. Betthauser, Ozioma Okonkwo, Sterling C. Johnson, Stefan J. Teipel, Michel J. Grothe
<span title="2021-10-21">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mvbrssyf7fcebaalpjhndnvzqa" style="color: black;">Alzheimer&#39;s Research &amp; Therapy</a> </i> &nbsp;
Background We investigated regional amyloid staging characteristics in 11C-PiB-PET data from middle-aged to older participants at elevated risk for AD enrolled in the Wisconsin Registry for Alzheimer's  ...  Conclusions Overall, the 11C-PiB-PET-based staging model was generally consistent with previously derived models from 18F-labeled amyloid PET scans and a longitudinal course of amyloid accumulation.  ...  In both studies, amyloid staging identified early stages of amyloid accumulation that were not detected by the conventional binary classification approach based on global PET signal.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13195-021-00918-0">doi:10.1186/s13195-021-00918-0</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34674764">pmid:34674764</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8532333/">pmcid:PMC8532333</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iqfcpsrzmrczppi2cbyg3lbuci">fatcat:iqfcpsrzmrczppi2cbyg3lbuci</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220206190110/https://alzres.biomedcentral.com/track/pdf/10.1186/s13195-021-00918-0.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f9/8d/f98d5b82d47f3edc8d6ea4d9e35d4de9384e5b64.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13195-021-00918-0"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8532333" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI [article]

Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative
<span title="2020-08-10">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Positron Emission Tomography (PET) is now regarded as the gold standard for the diagnosis of Alzheimer's Disease (AD).  ...  The proposed network architecture and training regime show state-of-the-art performance for three- and four- class AD classification tasks.  ...  Acknowledgement The authors would like to thank Seonjoo Lee of Columbia University Medical Center for the discussion and help in data pre-processing.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.04396v1">arXiv:2008.04396v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hcpcxjwbjzgtvizdh2gq7iuhvq">fatcat:hcpcxjwbjzgtvizdh2gq7iuhvq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200813134237/https://arxiv.org/pdf/2008.04396v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.04396v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease

Joseph Giorgio, Susan Landau, William Jagust, Peter Tino, Zoe Kourtzi
<span title="2020-01-26">2020</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/47gmsc3hojdm5kdlgbg4peyvyi" style="color: black;">NeuroImage: Clinical</a> </i> &nbsp;
Extending beyond binary classifications, we develop and implement a trajectory modelling approach that shows significantly better performance in predicting individualised rate of future cognitive decline  ...  Training the model to perform the same binary classification on biological data (mean cortical β-amyloid burden, grey matter density, APOE 4) results in similar prediction accuracy (81.9%).  ...  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 award  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.nicl.2020.102199">doi:10.1016/j.nicl.2020.102199</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32106025">pmid:32106025</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7044529/">pmcid:PMC7044529</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ook3fyrikbchpcehtxrof7phvi">fatcat:ook3fyrikbchpcehtxrof7phvi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210427105909/https://research.birmingham.ac.uk/portal/files/94159434/1_s2.0_S221315822030036X_main.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9f/cf/9fcf8f9b9e71f114d7571f263d7a8a98dd44fb83.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.nicl.2020.102199"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044529" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Neural Network Training with Highly Incomplete Datasets [article]

Yu-Wei Chang and Laura Natali and Oveis Jamialahmadi and Stefano Romeo and Joana B. Pereira and Giovanni Volpe
<span title="2021-07-01">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
First, the dataset is split into subsets of samples containing all values for a certain cluster of features. Then, these subsets are used to train individual neural networks.  ...  Alas, both approaches are inadequate when a large portion of the data is missing. Here, we introduce GapNet, an alternative deep-learning training approach that can use highly incomplete datasets.  ...  For amyloid-PET, we include the mean amyloid standard uptake value ratio (SUVR) values from the same brain regions included in MRI.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.00429v1">arXiv:2107.00429v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ylodefovmrerdjgkiz4fbvl74a">fatcat:ylodefovmrerdjgkiz4fbvl74a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210715065305/https://arxiv.org/pdf/2107.00429v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e4/3d/e43d4cdccd48c15800aa0aa45cd12c132f401b9d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.00429v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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