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18FDG PET/CT & arterial inflammation: predicting cardiovascular events in lung cancer.

dc.contributor.authorVillena-Garcia, A C
dc.contributor.author Gutierrez-Cardo, A
dc.contributor.authorHidalgo, C M
dc.contributor.authorPalomo, L
dc.contributor.authorLillo, E
dc.contributor.authorEspildora, J
dc.contributor.authorTrigo, J Manuel
dc.contributor.author Sanchez-Chaparro, M A
dc.contributor.authorValdivielso, P
dc.date.accessioned2023-01-25T10:29:52Z
dc.date.available2023-01-25T10:29:52Z
dc.date.issued2019-06
dc.description.abstract18F-FDG PET/CT predicts cardiovascular disease. To analyze the predictive value of cardiovascular events from inflammation and arterial calcification in patients who underwent an 18F-FDG PET/CT for lung cancer. A retrospective study of 274 patients with primary lung neoplasia. We determined: (i) TBR (target-to-background ratio), and (ii) the calcium score, at eight common arterial segments. We took as arteriosclerosis, a TBR ≥1.6 and ≥15 Calcium Score sum. We registered cardiovascular risk factors, comorbidities, histology, stage, treatment, status at the last clinical review, cause of death and cardiovascular event during the follow-up. The territory presenting the greatest uptake of 18F-FDG, was the thoracic aorta with an average of 1.77 (± 0.27 TBR) in the aortic arch, while the greatest degree of calcification was obtained in the abdominal aorta (52% with a Calcium Score ≥ 3). 24% of the patients presented a sum Calcium Score ≥15, and 17% a TBR ≥1.6. Patients with high TBR, (17%), had not a higher frequency of cardiovascular comorbidities beforehand, nor did they in the follow-up. However, those with a sum Calcium Score ≥15 (24%), were older, had more cardiovascular risk factors and ischemic events during follow-up. The calcium score, but not the TBR, predicted the emergence of a cardiovascular event (HR 4.9 IC95% 2.1-9.1, P In our cohort, a high Calcium Score was an independent predictor for developing cardiovascular events.
dc.description.versionSi
dc.identifier.citationVillena García AC, Cardo AG, Hidalgo CM, Palomo L, Lillo E, Espíldora J, et al. 18FDG PET/CT & arterial inflammation: predicting cardiovascular events in lung cancer. QJM. 2019 Jun 1;112(6):401-407.
dc.identifier.doi10.1093/qjmed/hcz036
dc.identifier.essn1460-2393
dc.identifier.pmid30715503
dc.identifier.unpaywallURLhttps://academic.oup.com/qjmed/article-pdf/112/6/401/28758743/hcz036.pdf
dc.identifier.urihttp://hdl.handle.net/10668/13506
dc.issue.number6
dc.journal.titleQJM : monthly journal of the Association of Physicians
dc.journal.titleabbreviationQJM
dc.language.isoen
dc.organizationHospital Universitario Virgen de la Victoria
dc.organizationInstituto de Investigación Biomédica de Málaga-IBIMA
dc.page.number401-407
dc.provenanceRealizada la curación de contenido 04/08/2025.
dc.publisherOxford University Press
dc.pubmedtypeJournal Article
dc.relation.publisherversionhttps://academic.oup.com/qjmed/article-lookup/doi/10.1093/qjmed/hcz036
dc.rights.accessRightsRestricted Access
dc.subjectCardiovascular Risk Assessment
dc.subjectArterial Calcification
dc.subjectVascular Inflammation
dc.subjectAtherosclerotic Plaque
dc.subjectCalcium Scoring
dc.subject18F-FDG Uptake
dc.subjectPredictive Imaging
dc.subject.decsTomografía por emisión de positrones
dc.subject.decsFluorodesoxiglucosa F18
dc.subject.decsNeoplasias pulmonares
dc.subject.decsArteriosclerosis
dc.subject.decsCalcificación
dc.subject.decsEnfermedades cardiovasculares
dc.subject.decsFactores de riesgo
dc.subject.meshAged
dc.subject.meshAorta, Abdominal
dc.subject.meshAorta, Thoracic
dc.subject.meshArteritis
dc.subject.meshAtherosclerosis
dc.subject.meshCalcinosis
dc.subject.meshCardiovascular Diseases
dc.subject.meshFemale
dc.subject.meshFluorodeoxyglucose F18
dc.subject.meshHumans
dc.subject.meshLung Neoplasms
dc.subject.meshMale
dc.subject.meshMiddle Aged
dc.subject.meshPositron Emission Tomography Computed Tomography
dc.subject.meshProportional Hazards Models
dc.subject.meshRetrospective Studies
dc.subject.meshRisk Factors
dc.title18FDG PET/CT & arterial inflammation: predicting cardiovascular events in lung cancer.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number112
dspace.entity.typePublication

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