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From detection to decision: Can deep learning-based CADx meet the challenge of incidental pulmonary nodules?

作者信息

de Margerie-Mellon Constance

机构信息

Université Paris Cité, PARCC UMRS 970, INSERM, Paris, France.

Department of Radiology, Hôpital Saint-Louis APHP, Paris, France.

出版信息

Eur Radiol. 2025 Sep 4. doi: 10.1007/s00330-025-11935-0.

DOI:10.1007/s00330-025-11935-0
PMID:40906185
Abstract
摘要

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本文引用的文献

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Current status and future directions of explainable artificial intelligence in medical imaging.医学成像中可解释人工智能的现状与未来发展方向
Eur J Radiol. 2025 Feb;183:111884. doi: 10.1016/j.ejrad.2024.111884. Epub 2024 Dec 6.
2
Deep learning in pulmonary nodule detection and segmentation: a systematic review.深度学习在肺结节检测与分割中的应用：一项系统综述。
Eur Radiol. 2025 Jan;35(1):255-266. doi: 10.1007/s00330-024-10907-0. Epub 2024 Jul 10.
3
Trends in the incidence of pulmonary nodules in chest computed tomography: 10-year results from two Dutch hospitals.
胸部 CT 检出肺结节的发病趋势：来自荷兰两家医院的 10 年研究结果。
Eur Radiol. 2023 Nov;33(11):8279-8288. doi: 10.1007/s00330-023-09826-3. Epub 2023 Jun 20.
4
Lung Cancer Diagnosed Through Screening, Lung Nodule, and Neither Program: A Prospective Observational Study of the Detecting Early Lung Cancer (DELUGE) in the Mississippi Delta Cohort.通过筛查、肺结节和两项计划均未诊断出的肺癌：密西西比三角洲队列中早期肺癌检测（DELUGE）的前瞻性观察研究。
J Clin Oncol. 2022 Jul 1;40(19):2094-2105. doi: 10.1200/JCO.21.02496. Epub 2022 Mar 8.
5
Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT.基于低剂量 CT 扫描检测到的肺部结节的恶性肿瘤风险估计的深度学习。
Radiology. 2021 Aug;300(2):438-447. doi: 10.1148/radiol.2021204433. Epub 2021 May 18.
6
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning.利用深度学习实现 CT 肺癌筛查中的放射科医生级别的癌症风险评估。
Comput Med Imaging Graph. 2021 Jun;90:101883. doi: 10.1016/j.compmedimag.2021.101883. Epub 2021 Mar 5.
7
The utility of a convolutional neural network (CNN) model score for cancer risk in indeterminate small solid pulmonary nodules, compared to clinical practice according to British Thoracic Society guidelines.卷积神经网络（CNN）模型评分在不确定的小实性肺结节中的癌症风险中的效用，与根据英国胸科学会指南的临床实践相比。
Eur J Radiol. 2021 Apr;137:109553. doi: 10.1016/j.ejrad.2021.109553. Epub 2021 Jan 14.
8
Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017.CT 图像上偶然发现的肺结节管理指南：来自 2017 年 Fleischner 学会。
Radiology. 2017 Jul;284(1):228-243. doi: 10.1148/radiol.2017161659. Epub 2017 Feb 23.
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British Thoracic Society guidelines for the investigation and management of pulmonary nodules.英国胸科学会肺结节的调查与管理指南。
Thorax. 2015 Aug;70 Suppl 2:ii1-ii54. doi: 10.1136/thoraxjnl-2015-207168.
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Natural history of pure ground-glass opacity lung nodules detected by low-dose CT scan.低剂量 CT 扫描检测到的纯磨玻璃密度肺结节的自然史。
Chest. 2013 Jan;143(1):172-178. doi: 10.1378/chest.11-2501.