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双层光谱探测器CT电子密度成像:用于磨玻璃结节成像特征的令人印象深刻的技术。

Dual-layer spectral detector CT electron density imaging: impressive technology for imaging characteristics of ground-glass nodules.

作者信息

Kang Shaolei, Zhang Hailin, Lei Lichang, Xie Xiaojie, Duan Hui, Han Dan, Jing Weiwei, Zhang Xiaodi, Tian Yang, Lv Fajin

机构信息

Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.

出版信息

Quant Imaging Med Surg. 2025 Aug 1;15(8):7441-7452. doi: 10.21037/qims-2024-2923. Epub 2025 Jul 30.

DOI:10.21037/qims-2024-2923
PMID:40785908
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12332698/
Abstract

BACKGROUND

Pulmonary ground-glass nodules (GGNs) are increasingly being detected as manifestations of early lung cancer. However, conventional computed tomography (CT) images may fail to clearly show small lesion details, particularly in the case of small, low-density GGNs, which are often difficult to observe. Limited evidence suggests that dual-layer spectral detector CT (SDCT) electron density imaging (EDI) improves the visualization of ground-glass opacities (GGOs) and increases the detection rate of mixed GGNs (mGGNs). This study aimed to evaluate the clinical value of SDCT EDI reconstruction images in detecting pulmonary GGNs by comparing them with conventional CT images of different reconstruction slice thicknesses.

METHODS

The SDCT data of 27 patients with GGNs, including pure GGNs (pGGNs) and mGGNs, were included in both the EDI and conventional CT groups. The images were reconstructed using thin 1 mm, 3 mm minimum intensity projection (MinIP), and 5 mm maximum intensity projection (MIP). Two radiologists, each with over 10 years of experience, subjectively assessed the morphological signs and image quality of the lesions. Additionally, the clinical value of the images was evaluated by another 20 thoracic surgeons and radiologists through a six-item questionnaire.

RESULTS

The results showed that lobulation (P<0.001), spiculation (P=0.029), tumor-lung interface (P<0.001), and solid components (P=0.003) was significantly more prominent in electron density (ED) images. Conversely, the vacuole sign (P=0.016) was more apparent in conventional CT images. Neither the pleural indentation sign (P=0.429) nor the vessel crossing sign (P=0.227) showed statistically significant differences between the groups. The subjective image quality of lung structures study found that image noise suppression and artifact reduction were significantly greater in ED images (P<0.001). Conventional CT images demonstrated sharper visual reproduction of lung parenchyma, lung vessels and fissures, lung-thorax wall, and the pleuro-mediastinal border (P<0.001). In clinical evaluations of the value of conventional CT and ED reconstruction images, ED images showed significant advantages in defining the tumor-lung boundary, confirming solid components, measuring the size and solid portions, making a definitive diagnosis, choosing treatment options, increasing confidence in treatment decisions, facilitating multidisciplinary consultations, and reducing time (P<0.001).

CONCLUSIONS

SDCT EDI is an effective method for the differential diagnosis of benign and malignant GGNs. It provides clearer image features, particularly in terms of the lobulation and the tumor-lung interface and solid components, helping radiologists and thoracic surgeons to make more accurate diagnostic and treatment decisions.

摘要

背景

肺磨玻璃结节(GGN)作为早期肺癌的表现越来越多地被检测出来。然而,传统计算机断层扫描(CT)图像可能无法清晰显示小病灶的细节,尤其是对于小的、低密度的GGN,往往难以观察到。有限的证据表明,双层光谱探测器CT(SDCT)电子密度成像(EDI)可改善磨玻璃影(GGO)的可视化,并提高混合性GGN(mGGN)的检出率。本研究旨在通过将SDCT EDI重建图像与不同重建层厚的传统CT图像进行比较,评估其在检测肺部GGN中的临床价值。

方法

27例GGN患者(包括纯GGN和mGGN)的SDCT数据被纳入EDI组和传统CT组。图像采用1mm薄层、3mm最小强度投影(MinIP)和5mm最大强度投影(MIP)进行重建。两位均有超过10年经验的放射科医生对病变的形态学征象和图像质量进行主观评估。此外,另外20位胸外科医生和放射科医生通过一份六项问卷对图像的临床价值进行评估。

结果

结果显示,分叶(P<0.001)、毛刺征(P=0.029)、肿瘤-肺界面(P<0.001)和实性成分(P=0.003)在电子密度(ED)图像中明显更突出。相反,空泡征(P=0.016)在传统CT图像中更明显。两组间胸膜凹陷征(P=0.429)和血管穿行征(P=0.227)均无统计学显著差异。肺部结构主观图像质量研究发现,ED图像在图像噪声抑制和伪影减少方面明显更优(P<0.001)。传统CT图像在肺实质、肺血管和肺裂、肺-胸壁以及胸膜-纵隔边界的视觉再现上更清晰(P<从传统CT和ED重建图像的临床价值评估来看,ED图像在界定肿瘤-肺边界、确认实性成分、测量大小和实性部分、做出明确诊断、选择治疗方案、增加治疗决策信心、促进多学科会诊以及节省时间方面具有显著优势(P<0.001)。

结论

SDCT EDI是鉴别良性和恶性GGN的有效方法。它提供了更清晰的图像特征,尤其是在分叶、肿瘤-肺界面和实性成分方面,有助于放射科医生和胸外科医生做出更准确的诊断和治疗决策。

001)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1eb/12332698/91511c4ede85/qims-15-08-7441-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1eb/12332698/9d1d295eac96/qims-15-08-7441-f1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1eb/12332698/78b353a82479/qims-15-08-7441-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1eb/12332698/91511c4ede85/qims-15-08-7441-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1eb/12332698/9d1d295eac96/qims-15-08-7441-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1eb/12332698/44c8fd6fbeb3/qims-15-08-7441-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1eb/12332698/0ea6ded492d7/qims-15-08-7441-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1eb/12332698/6b5a387b65fd/qims-15-08-7441-f4.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1eb/12332698/91511c4ede85/qims-15-08-7441-f6.jpg

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