Evidence map›Paper›PMID 41669469›Full record

ArticleQuantitative imaging in medicine and surgery2026

Performance of free-breathing contrast-enhanced and unenhanced stack-of-spirals ultrashort echo time MRI for lung follow-up in patients with malignancies at 1.5T.

Jia-Wei Wu, Xin Sun, Zi-Kai Li, Xue-Ni Meng, Qian Li, Ao-Dong Xiao, Ting Yin, Thomas Benkert, Peng Sun, Hao-Hao Lu and 1 more

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Jia-Wei Wu *Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0002-4642-6328
Xin Sun *Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0009-0004-2636-3077
Zi-Kai Li *General Hospital of the Yangtze River Shipping, Wuhan Brain Hospital, Wuhan, China.
Xue-Ni MengDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0009-0003-4608-1029
Qian LiDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0002-9048-762X
Ao-Dong XiaoDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0009-0003-3185-8712
Ting YinMR Collaborations, Siemens Healthineers Ltd., Shanghai, China.
Thomas BenkertMR Application Predevelopment, Siemens Healthcare Ltd., Erlangen, Germany.
Peng SunInstitute of Research and Clinical Innovations, Neusoft Medical Systems Co. Ltd., Shenyang, China.ORCID https://orcid.org/0000-0003-3868-4180
Hao-Hao Lu *Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0002-8470-750X
Qing Fu *Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0003-0102-0276

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stack-of-spirals ultrashort echo time (spiral-UTE) has been reported to be feasible for lung imaging; however, the performance of free-breathing contrast-enhanced and unenhanced spiral-UTE (UTEe and UTEu) is still unknown. Therefore, this study aimed to evaluate their performance of lung imaging in patients with malignant tumors. Methods: A total of 76 patients with malignancies suspected of pulmonary metastatic nodules were enrolled in free-breathing UTEe, UTEu and routine contrast-enhanced T1-weighted imaging [volumetric interpolated breath-hold examination (VIBE)] for lung follow-up. Two radiologists independently assessed the image quality, and qualitative analysis was scored via a 5-point scale (4, excellent; 0, unreadable) with respect to the visibility of fissures, airways and vessels; signal homogeneity; motion artifacts; lesion conspicuity; and overall image quality. Quantitative analysis included measurements of the apparent contrast-to-noise ratio (CNR) and apparent signal-to-noise ratio (SNR). Pulmonary nodules detected via magnetic resonance (MR) images were compared with those by computed tomography (CT) as the reference standard. Results: Both UTEu and UTEe outperformed VIBE in all the qualitative metrics (P<0.001) and there was no significant difference between UTEu and UTEe (P>0.05) in those metrics. UTEe exhibited the best performance in depicting pulmonary vessels, achieving the highest apparent SNR and apparent CNR values. Among the 130 pulmonary nodules identified via CT, spiral-UTE had a sensitivity of 76.9% and a positive predictive value (PPV) of 99.0%, significantly outperforming VIBE (sensitivity of 47.7% and PPV of 95.4%). The detection rates for spiral-UTE were 90.0% for nodules larger than 5 mm, 98.5% for nodules larger than 7 mm and 100.0% for nodules larger than 10 mm. Conclusions: Spiral-UTE demonstrated superior image quality and greater sensitivity for pulmonary nodule detection than breath-hold VIBE did. Both unenhanced and enhanced spiral-UTE showed comparable performance in nodule detection, highlighting its potential as a reliable imaging modality for patients with malignant tumors during follow-up imaging.

Indexed as

computed tomography (CT)Magnetic resonance imaging (MRI)pulmonary nodulepulmonary nodulesultrashort echo time (UTE)

Identifiers

PMID41669469
PMCPMC12883526

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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 OpenQuestion graph.