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基于磁共振成像报告开发用于检测脊髓转移的自然语言处理算法

Evan Mostafa¹, Aaron Hui², Boudewijn Aasman²

¹Department of Orthopaedic Surgery, Montefiore Medical Center, 111 E 210th St, Bronx, NY, 10467, United States.

North American Spine Society journal

|August 16, 2024

概括

一个自动化自然语言处理 (NLP) 算法在MRI报告中准确地识别了脊髓转移和转移性外皮带压缩 (MECC). 该系统旨在加快患者转诊,以便及时治疗,改善结果.

科学领域:

医学成像分析分析医学成像分析
医疗保健中的人工智能
在瘤学瘤学.

背景情况:

脊髓转移是一种常见的癌症并发症,导致疼痛和神经问题.
及时诊断和转诊对于管理脊髓转移至关重要.
一个自动化系统可以提高识别风险患者的效率.

研究的目的:

训练和验证自然语言处理 (NLP) 算法.
从放射学报告中准确检测脊椎转移和转移性外皮带压缩 (MECC).
为了促进更快的患者转诊及时治疗.

主要方法:

脊椎MRI (2008-2019) 的放射学报告由放射科医生审查和标记.
用doc2vec. 提取,预处理和向量化印象部分.
一个神经网络被训练来预测脊髓瘤或MECC的可能性.

主要成果:

该NLP模型在检测脊髓瘤和MECC方面实现了100%的灵敏度.
在0.02.的截止值观察到2.2%的低虚假阳性率.
该模型在111个外部MRI报告中得到了验证.

结论:

开发的NLP模型在MRI报告中准确识别脊髓瘤和MECC.
计划将其实施到EMR系统中,以加速患者转诊.
这项技术有可能降低发病率并提高生存率.

关键词:

算法算法是一种算法.癌症癌症癌症癌症语言语言语言语言这就是为什么MRI是MRI.转移性转移性处理处理处理脊柱脊柱脊柱脊柱脊柱脊柱

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Magnetic Resonance Imaging

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...