诊断工作和治疗性干预的椎间盘的发现作为计算机断层扫描的偶然发现
Johanna Lou1, Keshav Kooragayala1, Jennifer Williams1
1Department of Surgery, Cooper University Hospital, Camden, NJ, USA.
The American surgeon
|January 27, 2024
概括
自然语言处理确定了10.6%的偶发性间歇性的患者. 中度/大,虽然不太常见,但更可能需要随访和干预,突出需要改进患者转诊管道.
科学领域:
- 放射学 放射学是一门学科.
- 医疗信息学 医疗信息学
- 胃肠病学 胃肠病学
背景情况:
- 计算机断层扫描 (CT) 扫描经常显示偶然的发现,重点是恶性疾病.
- 良性疾病,如椎间,也需要识别和管理.
- 自然语言处理 (NLP) 提供了一种检测非恶性偶然发现的方法.
研究的目的:
- 利用NLP在一个大队伍中识别偶发性间歇性的患者.
- 分析偶发性椎间的患者的特征和随访情况.
- 评估需要改善中度/大间歇性的转诊途径的需要.
主要方法:
- 2010年至2020年间接受CT胸部/腹部/骨盆的成年创伤患者的回顾性审查.
- 开源的NLP工具被用来查询缺口.
- 随后的成像,内镜,光镜,或手术报告被审查的患者确定与间歇性.
主要成果:
- 在10,299名患者中,有10.6%的患者有偶发性椎间盘 (812名小,275名中度/大).
- 患有中度/大的患者年龄较大,主要是女性,与患有小 (3,5%) 患者相比,更有可能接受干预或转诊 (13,2%).
- 只有1.2%的偶发性椎间盘的患者获得了随访的转诊,没有进行椎间盘修复.
结论:
- 在大型患者群体中,NLP有效地识别了偶发性椎间.
- 发现了很大一部分中度/大度的椎间,但缺乏足够的随访.
- 增强的转诊管道对于管理中度/大度和症状性椎间的管理至关重要,以改善患者的治疗结果.
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