{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T05:53:42Z","timestamp":1768802022258,"version":"3.49.0"},"reference-count":48,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2021,7,30]],"date-time":"2021-07-30T00:00:00Z","timestamp":1627603200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Dynamic early-phase PET images acquired with radiotracers binding to fibrillar amyloid-beta (A\u03b2) have shown to correlate with [18F]fluorodeoxyglucose (FDG) PET images and provide perfusion-like information. Perfusion information of static PET scans acquired during the first minute after radiotracer injection (FMF, first-minute-frame) is compared to [18F]FDG PET images. FMFs of 60 patients acquired with [18F]florbetapir (FBP), [18F]flutemetamol (FMM), and [18F]florbetaben (FBB) are compared to [18F]FDG PET images. Regional standardized uptake value ratios (SUVR) are directly compared and intrapatient Pearson\u2019s correlation coefficients are calculated to evaluate the correlation of FMFs to their corresponding [18F]FDG PET images. Additionally, regional interpatient correlations are calculated. The intensity profiles of mean SUVRs among the study cohort (r = 0.98, p &lt; 0.001) and intrapatient analyses show strong correlations between FMFs and [18F]FDG PET images (r = 0.93 \u00b1 0.05). Regional VOI-based analyses also result in high correlation coefficients. The FMF shows similar information to the cerebral metabolic patterns obtained by [18F]FDG PET imaging. Therefore, it could be an alternative to the dynamic imaging of early phase amyloid PET and be used as an additional neurodegeneration biomarker in amyloid PET studies in routine clinical practice while being acquired at the same time as amyloid PET images.<\/jats:p>","DOI":"10.3390\/s21155182","type":"journal-article","created":{"date-parts":[[2021,8,1]],"date-time":"2021-08-01T21:44:32Z","timestamp":1627854272000},"page":"5182","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["High Correlation of Static First-Minute-Frame (FMF) PET Imaging after 18F-Labeled Amyloid Tracer Injection with [18F]FDG PET Imaging"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7274-244X","authenticated-orcid":false,"given":"Alexander P.","family":"Seiffert","sequence":"first","affiliation":[{"name":"Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicaci\u00f3n, Center for Biomedical Technology, Universidad Polit\u00e9cnica de Madrid, 28040 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7925-8826","authenticated-orcid":false,"given":"Adolfo","family":"G\u00f3mez-Grande","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain"},{"name":"Facultad de Medicina, Universidad Complutense de Madrid, 28040 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6834-7620","authenticated-orcid":false,"given":"Alberto","family":"Villarejo-Galende","sequence":"additional","affiliation":[{"name":"Facultad de Medicina, Universidad Complutense de Madrid, 28040 Madrid, Spain"},{"name":"Department of Neurology, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain"},{"name":"Group of Neurodegenerative Diseases, Hospital 12 de Octubre Research Institute (imas12), 28041 Madrid, Spain"},{"name":"Biomedical Research Networking Center in Neurodegenerative Diseases (CIBERNED), 28029 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9155-1438","authenticated-orcid":false,"given":"Marta","family":"Gonz\u00e1lez-S\u00e1nchez","sequence":"additional","affiliation":[{"name":"Department of Neurology, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain"},{"name":"Group of Neurodegenerative Diseases, Hospital 12 de Octubre Research Institute (imas12), 28041 Madrid, Spain"},{"name":"Biomedical Research Networking Center in Neurodegenerative Diseases (CIBERNED), 28029 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0277-7596","authenticated-orcid":false,"given":"H\u00e9ctor","family":"Bueno","sequence":"additional","affiliation":[{"name":"Facultad de Medicina, Universidad Complutense de Madrid, 28040 Madrid, Spain"},{"name":"Department of Cardiology and Instituto de Investigaci\u00f3n Sanitaria (imas12), Hospital Universitario 12 de Octubre, 28041 Madrid, Spain"},{"name":"Centro Nacional de Investigaciones Cardiovasculares (CNIC), 28029 Madrid, Spain"},{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red de Enfermedades Cardiovasculares (CIBERCV), 28029 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6998-1407","authenticated-orcid":false,"given":"Enrique J.","family":"G\u00f3mez","sequence":"additional","affiliation":[{"name":"Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicaci\u00f3n, Center for Biomedical Technology, Universidad Polit\u00e9cnica de Madrid, 28040 Madrid, Spain"},{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red de Bioingenier\u00eda, Biomateriales y Nanomedicina (CIBER-BBN), 28029 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9871-0884","authenticated-orcid":false,"given":"Patricia","family":"S\u00e1nchez-Gonz\u00e1lez","sequence":"additional","affiliation":[{"name":"Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicaci\u00f3n, Center for Biomedical Technology, Universidad Polit\u00e9cnica de Madrid, 28040 Madrid, Spain"},{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red de Bioingenier\u00eda, Biomateriales y Nanomedicina (CIBER-BBN), 28029 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,7,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1016\/j.jalz.2018.02.018","article-title":"NIA-AA Research Framework: Toward a biological definition of Alzheimer\u2019s disease","volume":"14","author":"Jack","year":"2018","journal-title":"Alzheimer\u2019s Dement."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1205","DOI":"10.1038\/aps.2017.28","article-title":"Amyloid beta: Structure, biology and structure-based therapeutic development","volume":"38","author":"Chen","year":"2017","journal-title":"Acta Pharmacol. Sin."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1630","DOI":"10.1093\/brain\/awn016","article-title":"Post-mortem correlates of in vivo PiB-PET amyloid imaging in a typical case of Alzheimer\u2019s disease","volume":"131","author":"Ikonomovic","year":"2008","journal-title":"Brain"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1016\/S1474-4422(12)70142-4","article-title":"Cerebral PET with florbetapir compared with neuropathology at autopsy for detection of neuritic amyloid-\u03b2 plaques: A prospective cohort study","volume":"11","author":"Clark","year":"2012","journal-title":"Lancet Neurol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"964","DOI":"10.1016\/j.jalz.2015.02.004","article-title":"Florbetaben PET imaging to detect amyloid beta plaques in Alzheimer\u2019s disease: Phase 3 study","volume":"11","author":"Sabri","year":"2015","journal-title":"Alzheimer\u2019s Dement."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1001\/jamaneurol.2014.4144","article-title":"Phase 3 trial of flutemetamol labeled with radioactive fluorine 18 imaging and neuritic plaque density","volume":"72","author":"Curtis","year":"2015","journal-title":"JAMA Neurol."},{"key":"ref_7","first-page":"2311","article-title":"Relationships among local functional activity, energy metabolism, and blood flow in the central nervous system","volume":"40","author":"Sokoloff","year":"1981","journal-title":"Fed. Proc."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1186\/s41181-019-0070-7","article-title":"Current radiotracers to image neurodegenerative diseases","volume":"4","author":"Tiepolt","year":"2019","journal-title":"EJNMMI Radiopharm. Chem."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"393","DOI":"10.2967\/jnumed.110.083683","article-title":"Dual-biomarker imaging of regional cerebral amyloid load and neuronal activity in dementia with PET and 11C-Labeled Pittsburgh compound B","volume":"52","author":"Meyer","year":"2011","journal-title":"J. Nucl. Med."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"173","DOI":"10.2967\/jnumed.110.082057","article-title":"Early 11C-PIB frames and 18F-FDG PET measures are comparable: A study validated in a cohort of AD and FTLD patients","volume":"52","author":"Rostomian","year":"2011","journal-title":"J. Nucl. Med."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Peretti, D.E., V\u00e1llez Garc\u00eda, D., Reesink, F.E., van der Goot, T., De Deyn, P.P., de Jong, B.M., Dierckx, R.A.J.O., and Boellaard, R. (2019). Relative cerebral flow from dynamic PIB scans as an alternative for FDG scans in Alzheimer\u2019s disease PET studies. PLoS ONE, 14.","DOI":"10.1371\/journal.pone.0211000"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"89","DOI":"10.3233\/JAD-180274","article-title":"Can 11C-PiB-PET relative delivery R1 or 11C-PiB-PET perfusion replace 18F-FDG-PET in the assessment of brain neurodegeneration?","volume":"65","author":"Oliveira","year":"2018","journal-title":"J. Alzheimer\u2019s Dis."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1111\/jon.12582","article-title":"Early Phase PIB-PET as a Surrogate for Global and Regional Cerebral Blood Flow Measures","volume":"29","author":"Ponto","year":"2019","journal-title":"J. Neuroimaging"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1016\/j.bbadis.2011.11.006","article-title":"The use of PIB-PET as a dual pathological and functional biomarker in AD","volume":"1822","author":"Forsberg","year":"2012","journal-title":"Biochim. Biophys. Acta Mol. Basis Dis."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2800","DOI":"10.1007\/s00330-014-3311-x","article-title":"Comparison of dual-biomarker PIB-PET and dual-tracer PET in AD diagnosis","volume":"24","author":"Fu","year":"2014","journal-title":"Eur. Radiol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1199","DOI":"10.2967\/jnumed.114.152405","article-title":"Relative 11C-PiB delivery as a proxy of relative CBF: Quantitative evaluation using single-session 15o-water and 11C-PiB PET","volume":"56","author":"Chen","year":"2015","journal-title":"J. Nucl. Med."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Farid, K., Hong, Y.T., Aigbirhio, F.I., Fryer, T.D., Menon, D.K., Warburton, E.A., and Baron, J.-C. (2015). Early-Phase 11C-PiB PET in Amyloid Angiopathy-Related Symptomatic Cerebral Hemorrhage: Potential Diagnostic Value?. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0139926"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1619","DOI":"10.1016\/j.neurobiolaging.2014.12.036","article-title":"Regional cerebral blood flow estimated by early PiB uptake is reduced in mild cognitive impairment and associated with age in an amyloid-dependent manner","volume":"36","author":"Gietl","year":"2015","journal-title":"Neurobiol. Aging"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1700","DOI":"10.1007\/s00259-016-3353-1","article-title":"Early [18F]Florbetaben and [11C]PiB PET images are a surrogate biomarker of neuronal injury in Alzheimer\u2019s disease","volume":"43","author":"Tiepolt","year":"2016","journal-title":"Eur. J. Nucl. Med. Mol. Imaging"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1071","DOI":"10.2967\/jnumed.115.168732","article-title":"Comparison of early-phase 11C-Deuterium-L-Deprenyl and 11C-Pittsburgh Compound B PET for Assessing Brain Perfusion in Alzheimer Disease","volume":"57","author":"Carter","year":"2016","journal-title":"J. Nucl. Med."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"740","DOI":"10.1177\/0271678X16645593","article-title":"Comparability of [18F]THK5317 and [11C] PIB blood flow proxy images with [18F]FDG positron emission tomography in Alzheimer\u2019s disease","volume":"37","author":"Leuzy","year":"2017","journal-title":"J. Cereb. Blood Flow Metab."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1007\/s00259-011-2051-2","article-title":"Correlation of early-phase 18F-florbetapir (AV-45\/Amyvid) PET images to FDG images: Preliminary studies","volume":"39","author":"Hsiao","year":"2012","journal-title":"Eur. J. Nucl. Med. Mol. Imaging"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1304","DOI":"10.1007\/s00259-016-3359-8","article-title":"Imaging characteristic of dual-phase 18F-florbetapir (AV-45\/Amyvid) PET for the concomitant detection of perfusion deficits and beta-amyloid deposition in Alzheimer\u2019s disease and mild cognitive impairment","volume":"43","author":"Lin","year":"2016","journal-title":"Eur. J. Nucl. Med. Mol. Imaging"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"964","DOI":"10.1016\/j.jfma.2017.03.003","article-title":"Dual-phase 18F-florbetapir positron emission tomography in patients with primary progressive aphasia, Alzheimer\u2019s disease, and healthy controls: A preliminary study","volume":"116","author":"Kuo","year":"2017","journal-title":"J. Formos. Med. Assoc."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"304","DOI":"10.1007\/s00259-018-4238-2","article-title":"Dual-phase [18F] florbetapir in frontotemporal dementia","volume":"46","author":"Asghar","year":"2019","journal-title":"Eur. J. Nucl. Med. Mol. Imaging"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1172","DOI":"10.1016\/j.jalz.2019.05.010","article-title":"18F-FDG PET, the early phases and the delivery rate of 18F-AV45 PET as proxies of cerebral blood flow in Alzheimer\u2019s disease: Validation against 15O-H2O PET","volume":"15","author":"Ottoy","year":"2019","journal-title":"Alzheimer\u2019s Dement."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"e040232","DOI":"10.1002\/alz.040232","article-title":"Optimization of early-phase florbetapir as a surrogate of FDG-PET in ageing and Alzheimer\u2019s clinical syndrome","volume":"16","author":"Vanhoutte","year":"2020","journal-title":"Alzheimer\u2019s Dement."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.nicl.2016.10.005","article-title":"Evaluation of early-phase [18F]-florbetaben PET acquisition in clinical routine cases","volume":"14","author":"Daerr","year":"2017","journal-title":"NeuroImage Clin."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"765","DOI":"10.3233\/JAD-180232","article-title":"Usefulness of dual-point amyloid PET scans in appropriate use criteria: A multicenter study","volume":"65","author":"Segovia","year":"2018","journal-title":"J. Alzheimer\u2019s Dis."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1105","DOI":"10.3233\/JAD-180522","article-title":"Dual Time-Point [18F]Florbetaben PET Delivers Dual Biomarker Information in Mild Cognitive Impairment and Alzheimer\u2019s Disease","volume":"66","author":"Florek","year":"2018","journal-title":"J. Alzheimer\u2019s Dis."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1097\/RLU.0000000000002768","article-title":"Early-Phase 18F-Florbetaben PET as an Alternative Modality for 18F-FDG PET","volume":"45","author":"Son","year":"2020","journal-title":"Clin. Nucl. Med."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1186\/s13550-019-0499-4","article-title":"Optimized dual-time-window protocols for quantitative [18F]flutemetamol and [18F]florbetaben PET studies","volume":"9","author":"Heeman","year":"2019","journal-title":"EJNMMI Res."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"12297","DOI":"10.1038\/s41598-021-91891-z","article-title":"Early-phase 18F-FP-CIT and 18F-flutemetamol PET were significantly correlated","volume":"11","author":"An","year":"2021","journal-title":"Sci. Rep."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2103","DOI":"10.1007\/s00259-009-1264-0","article-title":"EANM procedure guidelines for PET brain imaging using [18F]FDG, version 2","volume":"36","author":"Varrone","year":"2009","journal-title":"Eur. J. Nucl. Med. Mol. Imaging"},{"key":"ref_35","unstructured":"Waxman, A., Herholz, K., Lewis, D., Herscovitch, P., Minoshima, S., Ichise, M., Drzezga, A., Devous, M., and Mountz, J. (2009). Society of Nuclear Medicine Procedure Guideline for FDG PET Brain Imaging Version 1.0, Society of Nuclear Medicine."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1316","DOI":"10.2967\/jnumed.116.174615","article-title":"SNMMI procedure standard\/EANM practice guideline for amyloid PET imaging of the brain 1.0","volume":"57","author":"Minoshima","year":"2016","journal-title":"J. Nucl. Med."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2395","DOI":"10.1002\/mds.23291","article-title":"Typical cerebral metabolic patterns in neurodegenerative brain diseases","volume":"25","author":"Teune","year":"2010","journal-title":"Mov. Disord."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"684","DOI":"10.1148\/rg.343135065","article-title":"Brain PET in suspected dementia: Patterns of altered FDG metabolism","volume":"34","author":"Brown","year":"2014","journal-title":"Radiographics"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Yoo, S.-W., Ha, S., Yoon, H., Yoo, J.-Y., Lee, K.-S., and Kim, J.-S. (2021). Paradoxical Cerebral Perfusion in Parkinson\u2019s Disease Patients with Orthostatic Hypotension: A Dual-Phase 18F-Florbetaben Positron Emission Tomography Study. J. Parkinsons. Dis., pre-press.","DOI":"10.3233\/JPD-212596"},{"key":"ref_40","unstructured":"Friston, K.J., Ashburner, J., Kiebel, S., Nichols, T., and Penny, W.D. (2006). Statistical Parametric Mapping: The Analysis of Funtional Brain Images, Elsevier Academic Press. [1st ed.]."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.nicl.2018.07.013","article-title":"Low-dose CT for the spatial normalization of PET images: A validation procedure for amyloid-PET semi-quantification","volume":"20","author":"Presotto","year":"2018","journal-title":"NeuroImage Clin."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1006\/nimg.2001.0978","article-title":"Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain","volume":"15","author":"Landeau","year":"2002","journal-title":"Neuroimage"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neuroimage.2015.07.075","article-title":"Implementation of a new parcellation of the orbitofrontal cortex in the automated anatomical labeling atlas","volume":"122","author":"Rolls","year":"2015","journal-title":"Neuroimage"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1236","DOI":"10.1111\/j.1468-1331.2010.03040.x","article-title":"EFNS guidelines for the diagnosis and management of Alzheimer\u2019s disease","volume":"17","author":"Hort","year":"2010","journal-title":"Eur. J. Neurol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1007\/s00259-019-04559-2","article-title":"Brain metabolic signatures across the Alzheimer\u2019s disease spectrum","volume":"47","author":"Sala","year":"2020","journal-title":"Eur. J. Nucl. Med. Mol. Imaging"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1193","DOI":"10.1006\/nimg.2002.1259","article-title":"Statistical parametric mapping of 99mTc-HMPAO-SPECT images for the diagnosis of Alzheimer\u2019s disease: Normalizing to cerebellar tracer uptake","volume":"17","author":"Soonawala","year":"2002","journal-title":"Neuroimage"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/j.jalz.2011.03.005","article-title":"The diagnosis of dementia due to Alzheimer\u2019s disease: Recommendations from the National Institute on Aging-Alzheimer\u2019s Association workgroups on diagnostic guidelines for Alzheimer\u2019s disease","volume":"7","author":"McKhann","year":"2011","journal-title":"Alzheimer\u2019s Dement."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.nicl.2014.11.007","article-title":"Volume of interest-based [18F]fluorodeoxyglucose PET discriminates MCI converting to Alzheimer\u2019s disease from healthy controls. A European Alzheimer\u2019s Disease Consortium (EADC) study","volume":"7","author":"Pagani","year":"2015","journal-title":"NeuroImage Clin."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/15\/5182\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:37:29Z","timestamp":1760164649000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/15\/5182"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,30]]},"references-count":48,"journal-issue":{"issue":"15","published-online":{"date-parts":[[2021,8]]}},"alternative-id":["s21155182"],"URL":"https:\/\/doi.org\/10.3390\/s21155182","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,7,30]]}}}