Evidence map›Paper›PMID 36531032›Full record

ArticleFrontiers in oncology2022

The value of dual-energy spectral CT in differentiating solitary pulmonary tuberculosis and solitary lung adenocarcinoma.

Guojin Zhang, Shenglin Li, Ke Yang, Lan Shang, Feng Zhang, Zixin Huang, Jialiang Ren, Zhuoli Zhang, Junlin Zhou, Hong Pu and 2 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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  7. Predictive value of spectral dual-detector computed tomography forQuantitative imaging in medicine and surgery · 2024
    Article
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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

12 authors.

Guojin ZhangDepartment of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Shenglin LiDepartment of Radiology, Lanzhou University Second Hospital, Lanzhou, China.
Ke YangDepartment of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Lan ShangDepartment of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Feng ZhangDepartment of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Zixin HuangDepartment of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Jialiang RenDepartment of Pharmaceuticals Diagnosis, GE Healthcare, Beijing, China.
Zhuoli ZhangDepartment of Radiology and BME, University of California Irvine, Irvine, CA, United States.
Junlin ZhouDepartment of Radiology, Lanzhou University Second Hospital, Lanzhou, China.
Hong PuDepartment of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Qiong ManSchool of Pharmacy, Chengdu Medical College, Chengdu, China.
Weifang KongDepartment of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To explore the value of dual-energy spectral CT in distinguishing solitary pulmonary tuberculosis (SP-TB) from solitary lung adenocarcinoma (S-LUAD). Methods: A total of 246 patients confirmed SP-TB (n = 86) or S-LUAD (n = 160) were retrospectively included. Spectral CT parameters include CT Results: There were significant differences in spectral CT quantitative parameters (including CT Conclusion: Dual-energy spectral CT has a significant value in distinguishing SP-TB from S-LUAD.

Indexed as

differential diagnosislung adenocarcinomaNSCLCpulmonary tuberculosisspectral CT

Identifiers

PMID36531032
PMCPMC9748684

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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.