Evidence map›Paper›PMID 40785908›Full record

ArticleQuantitative imaging in medicine and surgery2025

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

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

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Shaolei Kang *Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0001-9421-0014
Hailin Zhang *Department of Ultrasound, The Third Affiliated Hospital of Kunming Medical University, Kunming, China.
Lichang LeiDepartment of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Xiaojie XieDepartment of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Hui DuanDepartment of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Dan HanDepartment of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Weiwei JingDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xiaodi ZhangThe Department of Clinical and Technical Support, Philips Healthcare, Chengdu, China.
Yang TianDepartment of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Fajin LvDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0002-6484-9738

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Dual-layer spectral detector computed tomography (SDCT/DLCT)electron density imaging (EDI)ground glass nodules (GGNs)lung cancer

Identifiers

PMID40785908
PMCPMC12332698

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.