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血白细胞作为甲状腺结节的非侵入性诊断工具:一项前性队列研究

Feihang Wang^1,2,3, Danyang Zhao^1,2,3, Wang-Yang Xu⁴

¹Department of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.

|April 2, 2024

概括

使用血液白细胞DNA甲基化的新型人工智能模型可以准确诊断甲状腺结节 (TNs),减少不必要的活检和过度治疗. 这种血白细胞DNA甲基化 (BLDM) 模型提高了TN的诊断效率.

科学领域:

在瘤学瘤学.
基因组学就是基因组学.
生物信息学是一种生物信息学.

背景情况:

在中国,甲状腺结节 (TNs) 面临过度诊断和过度治疗的挑战.
超声波等现有方法可以改善TN诊断,但会导致不必要的活检.
恶性甲状腺结节 (MTNs) 通常会得到过早的手术建议.

研究的目的:

开发一种人工智能模型,使用血液白细胞DNA甲基化来诊断TNs.
优化TN患者的管理和治疗,以改善结果.
为了减少不必要的侵入性手术,如细针吸收 (FNA) 活检.

主要方法:

从293名TN患者的血液白细胞中分析了差异甲基化单双型块 (MHBs),使用减少表示双硫酸盐测序 (RRBS).
设计了一个人工智能血液白细胞DNA甲基化 (BLDM) 模型.
与超声波和组织学结果对比,验证了BLDM模型的诊断性能.

主要成果:

BLDM模型实现了高诊断准确度 (AUC 0.858-0.863) 和特异性 (88.68%-90.91%) 的TN.
BLDM的特异性和准确性超过了超声波,特别是微粒.
该模型正确识别了最初怀疑是恶性的良性结节,避免了不必要的活检.

结论:

这项研究首次展示了非侵入性血白细胞在诊断TNS方面的潜力.
BLDM模型为中国的TN诊断和治疗提供了更有效的方法.
实施BLDM模型可以带来更个性化和更有效的患者管理.

关键词:

良性甲状腺结块是一种良性甲状腺结块.血液中的白细胞.通过DNA甲基化.恶性甲状腺结节恶性甲状腺结节甲基化模型的方法

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