The value of neutrophil-to-lymphocyte ratio combined with the thyroid imaging reporting and data system in the diagnosis of the nature of thyroid nodules.
combined diagnosis
inflammation
neutrophil-lymphocyte ratio
thyroid imaging reporting and data system
thyroid nodules
Journal
Journal of clinical laboratory analysis
ISSN: 1098-2825
Titre abrégé: J Clin Lab Anal
Pays: United States
ID NLM: 8801384
Informations de publication
Date de publication:
May 2022
May 2022
Historique:
revised:
27
03
2022
received:
03
03
2022
accepted:
04
04
2022
pubmed:
12
4
2022
medline:
18
5
2022
entrez:
11
4
2022
Statut:
ppublish
Résumé
The aim of this study was to investigate the diagnostic value of peripheral blood neutrophil-to-lymphocyte ratio (NLR) combined with the thyroid imaging reporting and data system (TIRADS) for benign and malignant thyroid nodules. A total of 585 adults were enrolled in the study. The receiver operating characteristic curves were used to determine the optimal cut-off values for NLR and Kwak TIRADS (K-TIRADS) grades, which were 1.87 and 4a, respectively. Thyroid nodules were scored as follows: NLR-K-TIRADS score is 2 (both elevated K-TIRADS grade and NLR), NLR-K-TIRADS score is 1 (one of these was elevated) and NLR-k-TIRADS score is 0 (neither were elevated). The proportions of malignant nodules with NLR-K-TIRADS scores of 2, 1 and 0 were 98.59%, 69.62% and 10.19%, and the difference was statistically significant (p < 0.001). In terms of the sensitivity of diagnosis of malignant nodules, NLR-K-TIRADS 1 tends to increase relative to K-TIRADS grades ≥ 4a; in terms of specificity and positive predictive value for the diagnosis of malignant nodules, NLR-K-TIRADS 2 was significantly higher than K-TIRADS grades ≥ 4a (all p < 0.05). NLR combined with K-TIRADS grades may be a novel method for screening benign and malignant thyroid nodules.
Identifiants
pubmed: 35403307
doi: 10.1002/jcla.24429
pmc: PMC9102493
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e24429Subventions
Organisme : National Natural Science Foundation of China
ID : 81760168
Organisme : Natural Science Program of Jiangxi Province
ID : 20192BAB205031
Organisme : the Key Research and Development Programs by Science and Technology Department of JiangXi Province
ID : 20201BBG71006
Informations de copyright
© 2022 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC.
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