Routine Blood Tests as Predictive Tools for Differentiating Follicular Thyroid Carcinoma From Follicular Adenoma DOI Creative Commons
Jiaxi Wang, Jingwei Wang, Hanqing Liu

et al.

International Journal of General Medicine, Journal Year: 2025, Volume and Issue: Volume 18, P. 733 - 744

Published: Feb. 1, 2025

Background: Thyroid cancer is the most common endocrine malignancy, with an increasing incidence rate, particularly among adolescents. Follicular thyroid carcinoma (FTC), though less than papillary (PTC), presents greater diagnostic challenges, especially when differentiating from follicular adenoma (FA). Current methods lack specificity, underscoring need for a simple, cost-effective predictive model FTC.This study aimed to develop scoring system based on routine blood biomarkers distinguish between FTC and FA, facilitating early diagnosis treatment. Methods: A retrospective, single-center case-control was conducted patients diagnosed FA at Renmin Hospital of Wuhan University 2016 2022. Patients' demographic, clinicopathological characteristics, preoperative biomarker data were analyzed. Statistical tests, including chi-square, t-tests, Mann–Whitney U -tests, used compare biomarkers. Significant variables included in univariate multivariate logistic regression analyses, leading development system. The model's performance assessed using receiver operating characteristic (ROC) curves. Results: 23 26 FTC. Seven showed significant differences groups: ALB, DBIL, TBIL, LYM#, MCHC, RDW-SD, WBC. Multivariate identified ALB WBC as key predictors, forming (Score = 0.54 × - 1.10 WBC). exhibited strong (AUC 0.839), sensitivity specificity 0.808 0.826, respectively. Conclusion: developed novel biomarkers, offering non-invasive, tool FA. has clinical potential, providing feasible alternative conventional techniques. Further multicenter studies mechanistic investigations are warranted validate refine model, enhancing its utility practice. Keywords: carcinoma, albumin,

Language: Английский

Routine Blood Tests as Predictive Tools for Differentiating Follicular Thyroid Carcinoma From Follicular Adenoma DOI Creative Commons
Jiaxi Wang, Jingwei Wang, Hanqing Liu

et al.

International Journal of General Medicine, Journal Year: 2025, Volume and Issue: Volume 18, P. 733 - 744

Published: Feb. 1, 2025

Background: Thyroid cancer is the most common endocrine malignancy, with an increasing incidence rate, particularly among adolescents. Follicular thyroid carcinoma (FTC), though less than papillary (PTC), presents greater diagnostic challenges, especially when differentiating from follicular adenoma (FA). Current methods lack specificity, underscoring need for a simple, cost-effective predictive model FTC.This study aimed to develop scoring system based on routine blood biomarkers distinguish between FTC and FA, facilitating early diagnosis treatment. Methods: A retrospective, single-center case-control was conducted patients diagnosed FA at Renmin Hospital of Wuhan University 2016 2022. Patients' demographic, clinicopathological characteristics, preoperative biomarker data were analyzed. Statistical tests, including chi-square, t-tests, Mann–Whitney U -tests, used compare biomarkers. Significant variables included in univariate multivariate logistic regression analyses, leading development system. The model's performance assessed using receiver operating characteristic (ROC) curves. Results: 23 26 FTC. Seven showed significant differences groups: ALB, DBIL, TBIL, LYM#, MCHC, RDW-SD, WBC. Multivariate identified ALB WBC as key predictors, forming (Score = 0.54 × - 1.10 WBC). exhibited strong (AUC 0.839), sensitivity specificity 0.808 0.826, respectively. Conclusion: developed novel biomarkers, offering non-invasive, tool FA. has clinical potential, providing feasible alternative conventional techniques. Further multicenter studies mechanistic investigations are warranted validate refine model, enhancing its utility practice. Keywords: carcinoma, albumin,

Language: Английский

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