Evidence map›Paper›PMID 40809272›Full record

ArticleJournal of thoracic disease2025

The value of dual-energy spectral CT in differentiating the pathological grades of T1-size lung adenocarcinoma.

Jingwen Yu, Yihong Zhong, Yunfei Wang, Yan Zhang, Xiaoliang Wang, Qian Yang, Kun Ma, Dehong Luo, Zhou Liu

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

9 authors.

Jingwen Yu *Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.ORCID https://orcid.org/0000-0001-5016-7587
Yihong Zhong *Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Yunfei WangDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Yan ZhangDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Xiaoliang WangDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Qian YangDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Kun MaCT Imaging Research Center, GE HealthCare, Beijing, China.
Dehong LuoDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Zhou LiuDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate preoperative diagnosis of pathological grades in T1-sized lung adenocarcinoma (LUAD) is crucial for clinical decision-making. The study aimed to investigate the value of dual-energy computed tomography (DECT) in distinguishing pathological grades in newly diagnosed LUAD lesions ≤3 cm in size. Methods: From October 2018 to January 2022, 137 patients with 161 pathologically confirmed LUAD lesions (≤3 cm) having received DECT were retrospectively enrolled with clinical information collected (low-grade: high-grade =41:120). CT values of monochromatic images at 40-140 keV, effective atomic number (Z Results: There were significant differences in CT values of 40-140 keV and Z Conclusions: In addition to clinical features, single-energy CT values hold the potential to differentiate the pathological grade of T1-size LUAD.

Indexed as

computed tomography (CT)Dual-energylung adenocarcinoma (LUAD)pathological grade

Identifiers

PMID40809272
PMCPMC12340287

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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.