Evidence map›Paper›PMID 42861248›Full record

ReviewQuantitative imaging in medicine and surgery2026

Systematic review of spectral computed tomography quantitative parameters for predicting

Jiapeng Li, Lihua Gao, Xinyao Jiao, Fan Xia, Ningxia Jia, Yuanbo Huang, Shuang Wang, Shengkai Sun, Sa Huang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review 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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jiapeng LiDepartment of Radiology, The Second Hospital of Jilin University, Changchun, China.
Lihua GaoDepartment of Radiology, The Second Hospital of Jilin University, Changchun, China.
Xinyao JiaoDepartment of Radiology, The Second Hospital of Jilin University, Changchun, China.
Fan XiaDepartment of Radiology, The Second Hospital of Jilin University, Changchun, China.
Ningxia JiaDepartment of Radiology, The Second Hospital of Jilin University, Changchun, China.
Yuanbo HuangDepartment of Radiology, The Second Hospital of Jilin University, Changchun, China.
Shuang WangDepartment of Radiology, The Second Hospital of Jilin University, Changchun, China.
Shengkai SunDepartment of Radiology, The Second Hospital of Jilin University, Changchun, China.
Sa HuangDepartment of Radiology, The Second Hospital of Jilin University, Changchun, China.ORCID https://orcid.org/0000-0003-1465-7567

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Epidermal growth factor receptor ( Methods: A comprehensive search of several Chinese and English databases was conducted to retrieve relevant diagnostic studies published up to October 1, 2025 that used pathology as the gold standard to assess the predictive value of spectral CT quantitative parameters for Results: The quantitative parameters of spectral CT, including iodine concentration (IC), normalized iodine concentration (NIC), slope of the spectral Hounsfield unit curve (λHU), and effective atomic number (Zeff), were higher in the Conclusions: Several quantitative parameters derived from spectral CT are associated with

Indexed as

epidermal growth factor receptor mutation (EGFR mutation)non-small cell lung cancer (NSCLC)quantitative parametersSpectral computed tomography (spectral CT)

Identifiers

PMID42861248
PMCPMC13654170

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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 OpenQuestion graph.