Fang Li, Shuang Tao, Ma Ji, Long Liu, Ziwei Qin, Xueting Yang, Rong Wu, Jia Zhan
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引用次数: 0
摘要
目的：本研究旨在比较美国放射学会甲状腺成像、报告和数据系统（ACR-TIRADS）、单纯细针穿刺（FNA）细胞病理学和动态人工智能（AI）诊断系统的诊断效率。材料与方法：本研究共纳入三家医院1035例患者。其中590例来自回顾性数据集，445例来自前瞻性数据集。对比术后病理金标准，评估动态人工智能系统对甲状腺结节的诊断准确性。分析AI系统和FNA相对于金标准的κ-因子的敏感性、特异性、ROC和诊断差异。结果：动态人工智能诊断系统对不同年龄、性别、不同结节大小均表现出良好的诊断稳定性。与ACR TI-RADS相比，动态AI系统的诊断AUC由0.89提高到0.93。与FNA细胞病理学相比，动态AI系统的诊断效果在回顾性队列和前瞻性队列中均无统计学差异。结论：动态AI诊断系统提高了基于ACR ti - rads诊断的准确性，具有替代活检的潜力，从而减少了患者侵入性手术的必要性。
Dynamic AI Ultrasound-Assisted Diagnosis System to Reduce Unnecessary Fine Needle Aspiration of Thyroid Nodules.
Objectives: This study aims to compare the diagnostic efficiency of the American College of Radiology-Thyroid Imaging, Reporting, and Data System (ACR-TIRADS), fine-needle aspiration (FNA) cytopathology alone, and the dynamic artificial intelligence (AI) diagnostic system.
Materials and methods: A total of 1035 patients from three hospitals were included in the study. Of these, 590 were from the retrospective dataset and 445 cases were from the prospective dataset. The diagnostic accuracy of the dynamic AI system in the thyroid nodules was evaluated in comparison to the gold standard of postoperative pathology. The sensitivity, specificity, ROC, and diagnostic differences in the κ-factor relative to the gold standard were analyzed for the AI system and the FNA.
Results: The dynamic AI diagnostic system showed good diagnostic stability in different ages and sexes and nodules of different sizes. The diagnostic AUC of the dynamic AI system showed a significant improvement from 0.89 to 0.93 compared to ACR TI-RADS. Compared to that of FNA cytopathology, the diagnostic efficacy of the dynamic AI system was found to be no statistical difference in both the retrospective cohort and the prospective cohort.
Conclusion: The dynamic AI diagnostic system enhances the accuracy of ACR TI-RADS-based diagnoses and has the potential to replace biopsies, thus reducing the necessity for invasive procedures in patients.
期刊介绍：
The Journal of Clinical Ultrasound (JCU) is an international journal dedicated to the worldwide dissemination of scientific information on diagnostic and therapeutic applications of medical sonography.
The scope of the journal includes--but is not limited to--the following areas: sonography of the gastrointestinal tract, genitourinary tract, vascular system, nervous system, head and neck, chest, breast, musculoskeletal system, and other superficial structures; Doppler applications; obstetric and pediatric applications; and interventional sonography. Studies comparing sonography with other imaging modalities are encouraged, as are studies evaluating the economic impact of sonography. Also within the journal''s scope are innovations and improvements in instrumentation and examination techniques and the use of contrast agents.
JCU publishes original research articles, case reports, pictorial essays, technical notes, and letters to the editor. The journal is also dedicated to being an educational resource for its readers, through the publication of review articles and various scientific contributions from members of the editorial board and other world-renowned experts in sonography.
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