更新于：2024-05-01
Multiple Pulmonary Nodules
多发性肺结节
更新于：2024-05-01
基本信息
别名 Multiple Pulmonary Nodule、Multiple Pulmonary Nodules、Multiple nodules of lung + [17] |
简介 A number of small lung lesions characterized by small round masses of 2- to 3-mm in diameter. They are usually detected by chest CT scans (COMPUTED TOMOGRAPHY, X-RAY). Such nodules can be associated with metastases of malignancies inside or outside the lung, benign granulomas, or other lesions. |
关联
Prospective Multi-center Study Using a Bronchoscopic Ultrasound-Guided Needle Biopsy System With Real-time Visualization in Endobronchial Lesions, Peripheral Lung Nodules, or Lung Masses
Opioid-Free Combined Anesthesia Under Spontaneous Breathing for Video-Assisted Thoracoscopic Surgery of Pulmonary Nodules: A Multicenter, Open-Label, Randomized Controlled, 2x2 Factorial Design Clinical Study
Key technology and application research on malignant risk identification and early diagnosis of pulmonary nodules based on VOCs in exhaled breath using gas phase biopsy
100 项与 多发性肺结节 相关的临床结果
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100 项与 多发性肺结节 相关的转化医学
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2024-02-21Respiration; international review of thoracic diseases
Advances in the Treatment of Pulmonary Nodules.
Review
作者: Quncheng Zhang ; Xuan Wu ; Huizhen Yang ; Peiyuan Luo ; Nan Wei ; Shuai Wang ; Xingru Zhao ; Ziqi Wang ; Felix J F Herth ; Xiaoju Zhang
BACKGROUND:
Early detection and accurate diagnosis of pulmonary nodules are crucial for improving patient outcomes. While surgical resection of malignant nodules is still the preferred treatment option, it may not be feasible for all patients. We aimed to discuss the advances in the treatment of pulmonary nodules, especially stereotactic body radiotherapy (SBRT) and interventional pulmonology technologies, and provide a range of recommendations based on our expertise and experience.
SUMMARY:
Interventional pulmonology is an increasingly important approach for the management of pulmonary nodules. While more studies are needed to fully evaluate its long-term outcomes and benefits, the available evidence suggests that this technique can provide a minimally invasive and effective alternative for treating small malignancies in selected patients. We conducted a systematic literature review in PubMed, designed a framework to include the advances in surgery, SBRT, and interventional pulmonology for the treatment of pulmonary nodules, and provided a range of recommendations based on our expertise and experience.
KEY MESSAGES:
As such, alternative therapeutic options such as SBRT and ablation are becoming increasingly important and viable. With recent advancements in bronchoscopy techniques, ablation via bronchoscopy has emerged as a promising option for treating pulmonary nodules. This study reviewed the advances of interventional pulmonology in the treatment of peripheral lung cancer patients that are not surgical candidates. We also discussed the challenges and limitations associated with ablation, such as the risk of complications and the potential for incomplete nodule eradication. These advancements hold great promise for improving the efficacy and safety of interventional pulmonology in treating pulmonary nodules.
2024-02-21Physics in medicine and biology
S-Net: an S-shaped network for nodule detection in 3D CT images.
Article
作者: Jingyu Zhang ; Wei Zou ; Nan Hu ; Bin Zhang ; Jiajun Wang
OBJECTIVE:
Accurate and automatic detection of pulmonary nodules is critical for early lung cancer diagnosis, and promising progress has been achieved in developing effective deep models for nodule detection. However, most existing nodule detection methods merely focus on integrating elaborately designed feature extraction modules into the backbone of the detection network to extract rich nodule features while ignore disadvantages of the structure of detection network itself. This study aims to address these disadvantages and develop a deep learning-based algorithm for pulmonary nodule detection to improve the accuracy of early lung cancer diagnosis.
APPROACH:
In this paper, an S-shaped network called S-Net is developed with the U-shaped network as backbone, where an information fusion branch is used to propagate lower-level details and positional information critical for nodule detection to higher-level feature maps, head shared scale adaptive detection strategy is utilized to capture information from different scales for better detecting nodules with different shapes and sizes and the feature decoupling detection head is used to allow the classification and regression branches to focus on the information required for their respective tasks. A hybrid loss function is utilized to fully exploit the interplay between the classification and regression branches.
MAIN RESULTS:
The proposed S-Net network with ResSENet and other three U-shaped backbones from SANet, OSAF-YOLOv3 and MSANet (R+SC+ECA) models achieve average CPM scores of 0.914, 0.915, 0.917 and 0.923 on the LUNA16 dataset, which are significantly higher than those achieved with other existing state-of-the-art models.
SIGNIFICANCE:
The experimental results demonstrate that our proposed method effectively improves nodule detection performance, which implies potential applications of the proposed method in clinical practice.
2024-02-16Journal of the American College of Radiology : JACR
Incorporation of Eye-Tracking and Gaze Feedback to Characterize and Improve Radiologist Search Patterns of Chest X-rays: A Randomized Controlled Clinical Trial.
Article
作者: Carolina Ramirez-Tamayo ; Syed Hasib Akhter Faruqui ; Stanford Martinez ; Angel Brisco ; Nicholas Czarnek ; Adel Alaeddini ; Jeffrey R Mock ; Edward J Golob ; Kal L Clark
Diagnostic errors in radiology often result from incomplete visual assessments attributed to insufficient training in search patterns. Radiologists lack consistent feedback, relying on ad-hoc strategies, leading to suboptimal patterns and potential false negatives. This study used eye tracking to analyze search patterns, quantify performance metrics, and evaluate the impact of an automated continuous improvement feedback-driven framework on detection accuracy. In a controlled trial with ten residents, the intervention group (received feedback) demonstrated a significant 38.9% absolute improvement in detecting suspicious pulmonary nodules compared to the control group (5.6%, p=0.006). While improvements were more rapid over sessions (p=0.0001), other metrics showed no significant changes. The findings highlight the potential of automated feedback systems to enhance radiologist accuracy and reduce errors, emphasizing the need for further research and broader implementation in radiology training.
分析
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