Pathological correlation between eosinophils and thyroid nodules based on medical image testing

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS SLAS Technology Pub Date : 2024-09-19 DOI:10.1016/j.slast.2024.100189
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Abstract

Thyroid nodule is a common thyroid disease, but the study of its pathology and pathogenesis is still limited. As a non-invasive diagnostic method, medical image examination is of great value to study the pathological correlation of thyroid nodules. The purpose of this study was to investigate the expression of eosinophils in medical image examination and the pathological correlation between eosinophils and thyroid nodules. The study analyzed the pathological reports of a group of patients with thyroid nodules examined by medical images and performed corresponding imaging scans or examinations. The imaging data is processed, including image reconstruction, data transmission and other steps, to generate images that can be diagnosed by doctors. Thyroid function and parameters of leukocyte were collected and compared.The serum levels of TT4 and fT4 were observed lower in G2 group, while thyroid stimulating hormone (TSH) was higher compared to G1 group before surgery. Compared to G2 group, eosinophils count and percentage were lower in G1group (p < 0.05) post-surgery and lower ratio of eosinophils count with lymphocyte count (ELR) were observed in G1 group patients (p < 0.05).Elevated TSH is closely related to malignant TN per surgery, while lower ELR suggesting that TN removed thoroughly. Relevant cut-off values required further study to guide the diagnosis, treatment and follow-up of TN.
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基于医学影像检测的嗜酸性粒细胞与甲状腺结节的病理相关性。
甲状腺结节是一种常见的甲状腺疾病,但对其病理和发病机制的研究还很有限。医学影像检查作为一种无创诊断方法,对研究甲状腺结节的病理相关性具有重要价值。本研究旨在探讨嗜酸性粒细胞在医学影像检查中的表达以及嗜酸性粒细胞与甲状腺结节的病理相关性。研究分析了一组通过医学影像检查的甲状腺结节患者的病理报告,并进行了相应的成像扫描或检查。成像数据经过处理,包括图像重建、数据传输和其他步骤,生成可供医生诊断的图像。收集甲状腺功能和白细胞参数并进行比较。术前观察发现,G2 组的血清 TT4 和 fT4 水平较低,而促甲状腺激素(TSH)较 G1 组高。与 G2 组相比,G1 组的嗜酸性粒细胞计数和百分比较低(P<0.05)。
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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
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