Abstract 151: Age‐Related Increases in Carotid Artery Calcification: Insights from NaF PET/CT Imaging Article Swipe
Eric M. Teichner
,
Robert C. Subtirelu
,
Tom Werner
,
Abass Alavi
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1161/svin.03.suppl_2.151
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1161/svin.03.suppl_2.151
Introduction Atherosclerosis, the hardening and narrowing of the arteries, occurs due to the buildup of plaque on the inner walls of the arteries which can result in reduced blood flow to the organs and tissues. Risk factors such as smoking, chronic kidney disease, and aging can contribute to plaque formation. The gradual loss of elasticity in arterial walls and the presence of other risk factors, such as high blood pressure and diabetes, contribute to the increased risk of cardiovascular disease (CVD) observed in aging populations. Early detection through sensitive and specific imaging methods is important for the detection and treatment of CVD. 18F‐Sodium Fluoride positron emission tomography/computerized tomography (NaF‐PET/CT) can be utilized to detect and quantify molecular calcification and therefore early atherosclerosis in patients with CVD. Research has shown a positive correlation between NaF uptake in the common carotid arteries/thoracic aorta and cardiovascular/thromboembolic risk. This study aims to assess the effect of aging on NaF uptake in the left common carotid artery (LCC) in subjects with known cardiovascular risk factors. Methods In total, 36 subjects (mean age 55.4 ± 12.3 years, 50% males) with known cardiovascular risk factors underwent FDG‐PET/CT. Participants were recruited from a group of patients with chest pain syndromes who were referred for coronary CT angiography. Individuals who were not taking any blood pressure medications and who had a greater than 1% increased risk of fatal CVD, estimated by the systematic coronary risk evaluation tool, were eligible for inclusion into the at‐risk for CVD group. NaF PET/CT was performed 90 min after the intravenous injection of 2.2 MBq of NaF/kg. NaF uptake in the LCC was quantitatively assessed by measuring the blood‐pool‐corrected maximum standardized uptake value (SUVmean) on each axial slice. Pearson’s R was calculated and evaluated for significance in all variables. The threshold for significance was set at P < 0.05. Results A significant association between age in patients with cardiovascular risk factors and NaF uptake in the LCC artery was found. Age positively correlated with NaF uptake (r=0.472, p= 0.004) across all 36 patients. Conclusion Our results demonstrate that NaF uptake increases in the LCC with age in subjects with known cardiovascular risk factors. The strong association between age and calcification of the carotid arteries within a population of individuals with unfavorable cardiovascular and thromboembolic risk profiles demonstrates the potential of NaF PET/CT. NaF PET/CT may allow physicians to evaluate effectiveness of treatment and determine a patient's risk for CVD. However, additional trials are needed to further evaluate the associations found in this study and determine relevance in a clinical setting.
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All OpenAlex metadata
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https://openalex.org/W4392461961Canonical identifier for this work in OpenAlex
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https://doi.org/10.1161/svin.03.suppl_2.151Digital Object Identifier
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Abstract 151: Age‐Related Increases in Carotid Artery Calcification: Insights from NaF PET/CT ImagingWork title
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articleOpenAlex work type
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enPrimary language
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2023Year of publication
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2023-11-01Full publication date if available
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Eric M. Teichner, Robert C. Subtirelu, Tom Werner, Abass AlaviList of authors in order
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https://doi.org/10.1161/svin.03.suppl_2.151Publisher landing page
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diamondOpen access status per OpenAlex
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https://doi.org/10.1161/svin.03.suppl_2.151Direct OA link when available
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Calcification, Medicine, Carotid arteries, Radiology, Nuclear medicine, Internal medicineTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.study | 145, 418 |
| abstract_inverted_index.tool, | 237 |
| abstract_inverted_index.value | 278 |
| abstract_inverted_index.walls | 19, 57 |
| abstract_inverted_index.which | 23 |
| abstract_inverted_index.0.004) | 334 |
| abstract_inverted_index.PET/CT | 249, 389 |
| abstract_inverted_index.across | 335 |
| abstract_inverted_index.artery | 161, 323 |
| abstract_inverted_index.assess | 148 |
| abstract_inverted_index.common | 137, 159 |
| abstract_inverted_index.detect | 113 |
| abstract_inverted_index.effect | 150 |
| abstract_inverted_index.found. | 325 |
| abstract_inverted_index.group. | 247 |
| abstract_inverted_index.kidney | 41 |
| abstract_inverted_index.males) | 182 |
| abstract_inverted_index.needed | 409 |
| abstract_inverted_index.occurs | 9 |
| abstract_inverted_index.organs | 32 |
| abstract_inverted_index.plaque | 15, 48 |
| abstract_inverted_index.result | 25 |
| abstract_inverted_index.slice. | 283 |
| abstract_inverted_index.strong | 360 |
| abstract_inverted_index.taking | 213 |
| abstract_inverted_index.total, | 172 |
| abstract_inverted_index.trials | 407 |
| abstract_inverted_index.uptake | 134, 155, 264, 277, 319, 331, 345 |
| abstract_inverted_index.within | 370 |
| abstract_inverted_index.years, | 180 |
| abstract_inverted_index.Methods | 170 |
| abstract_inverted_index.NaF/kg. | 262 |
| abstract_inverted_index.PET/CT. | 387 |
| abstract_inverted_index.Results | 305 |
| abstract_inverted_index.between | 132, 309, 362 |
| abstract_inverted_index.buildup | 13 |
| abstract_inverted_index.carotid | 138, 160, 368 |
| abstract_inverted_index.chronic | 40 |
| abstract_inverted_index.disease | 79 |
| abstract_inverted_index.factors | 36, 187, 316 |
| abstract_inverted_index.further | 411 |
| abstract_inverted_index.gradual | 51 |
| abstract_inverted_index.greater | 222 |
| abstract_inverted_index.imaging | 91 |
| abstract_inverted_index.maximum | 275 |
| abstract_inverted_index.methods | 92 |
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| abstract_inverted_index.results | 341 |
| abstract_inverted_index.through | 87 |
| abstract_inverted_index.Fluoride | 103 |
| abstract_inverted_index.However, | 405 |
| abstract_inverted_index.Research | 126 |
| abstract_inverted_index.arterial | 56 |
| abstract_inverted_index.arteries | 22, 369 |
| abstract_inverted_index.assessed | 270 |
| abstract_inverted_index.clinical | 424 |
| abstract_inverted_index.coronary | 206, 234 |
| abstract_inverted_index.disease, | 42 |
| abstract_inverted_index.eligible | 239 |
| abstract_inverted_index.emission | 105 |
| abstract_inverted_index.evaluate | 394, 412 |
| abstract_inverted_index.factors, | 64 |
| abstract_inverted_index.factors. | 169, 358 |
| abstract_inverted_index.observed | 81 |
| abstract_inverted_index.patients | 123, 197, 312 |
| abstract_inverted_index.positive | 130 |
| abstract_inverted_index.positron | 104 |
| abstract_inverted_index.presence | 60 |
| abstract_inverted_index.pressure | 69, 216 |
| abstract_inverted_index.profiles | 381 |
| abstract_inverted_index.quantify | 115 |
| abstract_inverted_index.referred | 204 |
| abstract_inverted_index.setting. | 425 |
| abstract_inverted_index.smoking, | 39 |
| abstract_inverted_index.specific | 90 |
| abstract_inverted_index.subjects | 164, 174, 353 |
| abstract_inverted_index.tissues. | 34 |
| abstract_inverted_index.utilized | 111 |
| abstract_inverted_index.(SUVmean) | 279 |
| abstract_inverted_index.(r=0.472, | 332 |
| abstract_inverted_index.arteries, | 8 |
| abstract_inverted_index.at‐risk | 244 |
| abstract_inverted_index.detection | 86, 97 |
| abstract_inverted_index.determine | 399, 420 |
| abstract_inverted_index.diabetes, | 71 |
| abstract_inverted_index.estimated | 230 |
| abstract_inverted_index.evaluated | 289 |
| abstract_inverted_index.hardening | 3 |
| abstract_inverted_index.important | 94 |
| abstract_inverted_index.inclusion | 241 |
| abstract_inverted_index.increased | 75, 225 |
| abstract_inverted_index.increases | 346 |
| abstract_inverted_index.injection | 257 |
| abstract_inverted_index.measuring | 272 |
| abstract_inverted_index.molecular | 116 |
| abstract_inverted_index.narrowing | 5 |
| abstract_inverted_index.patient's | 401 |
| abstract_inverted_index.patients. | 338 |
| abstract_inverted_index.performed | 251 |
| abstract_inverted_index.potential | 384 |
| abstract_inverted_index.recruited | 192 |
| abstract_inverted_index.relevance | 421 |
| abstract_inverted_index.sensitive | 88 |
| abstract_inverted_index.syndromes | 201 |
| abstract_inverted_index.therefore | 119 |
| abstract_inverted_index.threshold | 296 |
| abstract_inverted_index.treatment | 99, 397 |
| abstract_inverted_index.underwent | 188 |
| abstract_inverted_index.Conclusion | 339 |
| abstract_inverted_index.additional | 406 |
| abstract_inverted_index.calculated | 287 |
| abstract_inverted_index.contribute | 46, 72 |
| abstract_inverted_index.correlated | 328 |
| abstract_inverted_index.elasticity | 54 |
| abstract_inverted_index.evaluation | 236 |
| abstract_inverted_index.formation. | 49 |
| abstract_inverted_index.physicians | 392 |
| abstract_inverted_index.population | 372 |
| abstract_inverted_index.positively | 327 |
| abstract_inverted_index.systematic | 233 |
| abstract_inverted_index.tomography | 107 |
| abstract_inverted_index.variables. | 294 |
| abstract_inverted_index.Individuals | 209 |
| abstract_inverted_index.Pearson’s | 284 |
| abstract_inverted_index.association | 308, 361 |
| abstract_inverted_index.correlation | 131 |
| abstract_inverted_index.demonstrate | 342 |
| abstract_inverted_index.individuals | 374 |
| abstract_inverted_index.intravenous | 256 |
| abstract_inverted_index.medications | 217 |
| abstract_inverted_index.significant | 307 |
| abstract_inverted_index.unfavorable | 376 |
| abstract_inverted_index.18F‐Sodium | 102 |
| abstract_inverted_index.Introduction | 0 |
| abstract_inverted_index.Participants | 190 |
| abstract_inverted_index.angiography. | 208 |
| abstract_inverted_index.associations | 414 |
| abstract_inverted_index.demonstrates | 382 |
| abstract_inverted_index.populations. | 84 |
| abstract_inverted_index.significance | 291, 298 |
| abstract_inverted_index.standardized | 276 |
| abstract_inverted_index.FDG‐PET/CT. | 189 |
| abstract_inverted_index.calcification | 117, 365 |
| abstract_inverted_index.effectiveness | 395 |
| abstract_inverted_index.(NaF‐PET/CT) | 108 |
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| abstract_inverted_index.quantitatively | 269 |
| abstract_inverted_index.thromboembolic | 379 |
| abstract_inverted_index.atherosclerosis | 121 |
| abstract_inverted_index.Atherosclerosis, | 1 |
| abstract_inverted_index.arteries/thoracic | 139 |
| abstract_inverted_index.tomography/computerized | 106 |
| abstract_inverted_index.blood‐pool‐corrected | 274 |
| abstract_inverted_index.cardiovascular/thromboembolic | 142 |
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| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8700000047683716 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.41565887 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |