胸部计算机断层扫描的盲点:我们错过了什么?

IF 2.1 3区 医学 Q3 RESPIRATORY SYSTEM Journal of thoracic disease Pub Date : 2024-12-31 Epub Date: 2024-12-27 DOI:10.21037/jtd-24-1125
Li Zhang, Xin Wen, Jing-Wen Ma, Jian-Wei Wang, Yao Huang, Ning Wu, Meng Li
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引用次数: 0

摘要

胸部计算机断层扫描(CT)是世界上最常用的影像学检查。与胸部x线摄影相比,胸部CT由于没有重叠结构,大大提高了胸部病变的检出率和诊断准确率,是观察胸部病变的最佳影像学技术。然而,在解释过程中仍然经常有漏诊,特别是在某些区域或“盲点”,这可能被放射科医生忽视。了解这些盲点对于避免假阴性结果和可能给患者带来的不良后果具有重要意义。在这篇综述中,我们总结了在实际临床实践中发现的常见盲点,包括肺实质内的中心区域(包括门周区域、旁膈区和术后手术区)、气管和支气管、胸膜、心脏、血管结构、外纵隔淋巴结、甲状腺、骨骼结构、乳房和上腹部。除了仔细审查外,临床医生还可以采用几种技术来减轻或尽量减少由于胶片解释和报告中的盲点而产生的错误。在这篇综述中,我们还提出了减少漏诊的技术方法,包括先进的成像后处理技术,如多平面重建(MPR)、最大强度投影(MIP)、人工智能(AI)和结构化报告,这些技术可以显著增强病变的检测和提高诊断的准确性。
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The blind spots on chest computed tomography: what do we miss.

Chest computed tomography (CT) is the most frequently performed imaging examination worldwide. Compared with chest radiography, chest CT greatly improves the detection rate and diagnostic accuracy of chest lesions because of the absence of overlapping structures and is the best imaging technique for the observation of chest lesions. However, there are still frequently missed diagnoses during the interpretation process, especially in certain areas or "blind spots", which may possibly be overlooked by radiologists. Awareness of these blind spots is of great significance to avoid false negative results and potential adverse consequences for patients. In this review, we summarize the common blind spots identified in actual clinical practice, encompassing the central areas within the pulmonary parenchyma (including the perihilar regions, paramediastinal regions, and operative area after surgery), trachea and bronchus, pleura, heart, vascular structure, external mediastinal lymph nodes, thyroid, osseous structures, breast, and upper abdomen. In addition to careful review, clinicians can employ several techniques to mitigate or minimize errors arising from these blind spots in film interpretation and reporting. In this review, we also propose technical methods to reduce missed diagnoses, including advanced imaging post-processing techniques such as multiplanar reconstruction (MPR), maximum intensity projection (MIP), artificial intelligence (AI) and structured reporting which can significantly enhance the detection of lesions and improve diagnostic accuracy.

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来源期刊
Journal of thoracic disease
Journal of thoracic disease RESPIRATORY SYSTEM-
CiteScore
4.60
自引率
4.00%
发文量
254
期刊介绍: The Journal of Thoracic Disease (JTD, J Thorac Dis, pISSN: 2072-1439; eISSN: 2077-6624) was founded in Dec 2009, and indexed in PubMed in Dec 2011 and Science Citation Index SCI in Feb 2013. It is published quarterly (Dec 2009- Dec 2011), bimonthly (Jan 2012 - Dec 2013), monthly (Jan. 2014-) and openly distributed worldwide. JTD received its impact factor of 2.365 for the year 2016. JTD publishes manuscripts that describe new findings and provide current, practical information on the diagnosis and treatment of conditions related to thoracic disease. All the submission and reviewing are conducted electronically so that rapid review is assured.
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