Evidence map›Paper›PMID 32103127›Full record

ArticleScientific reports2020

The associations among quantitative spectral CT parameters, Ki-67 expression levels and EGFR mutation status in NSCLC.

Liaoyi Lin, Jiejun Cheng, Daoqiang Tang, Ying Zhang, Feng Zhang, Jianrong Xu, Handong Jiang, Huawei Wu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

20 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
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  10. Predictive value of spectral dual-detector computed tomography forQuantitative imaging in medicine and surgery · 2024
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  12. Correlation betweenHeliyon · 2023
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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

8 authors at 2 institutions in 1 country.

Liaoyi Lin *Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No.160, Pujian Road, Shanghai, 200127, China.
Jiejun Cheng *Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No.160, Pujian Road, Shanghai, 200127, China.
Daoqiang TangDepartment of Pathology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No.160, Pujian Road, Shanghai, 200127, China.
Ying ZhangDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No.160, Pujian Road, Shanghai, 200127, China.
Feng ZhangDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No.160, Pujian Road, Shanghai, 200127, China.
Jianrong XuDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No.160, Pujian Road, Shanghai, 200127, China.
Handong JiangDepartment of Respiratory, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No.160, Pujian Road, Shanghai, 200127, China. jianghd@163.com.
Huawei WuDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No.160, Pujian Road, Shanghai, 200127, China. huaweiwu26@163.com.
Shanghai Jiao Tong University · CNRenji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dual-energy spectral computed tomography (DESCT) is based on fast switching between high and low voltages from view to view to obtain dual-energy imaging data, and it can generate monochromatic image sets, iodine-based material decomposition images and spectral CT curves. Quantitative spectral CT parameters may be valuable for reflecting Ki-67 expression and EGFR mutation status in non-small-cell lung cancer (NSCLC). We investigated the associations among the quantitative parameters generated in DESCT and Ki-67 expression and EGFR mutation in NSCLC. We studied sixty-five NSCLC patients with preoperative DESCT scans, and their specimens underwent Ki-67 and EGFR evaluations. Statistical analyses were performed to identify the spectral CT parameters for the diagnosis of Ki-67 expression and EGFR mutation status. We found that tumour grade and the slope of the spectral CT curve in the venous phase were the independent factors influencing the Ki-67 expression level, and the area under the curve (AUC) of the slope of the spectral CT curve in the venous phase in the receiver operating characteristic analysis for distinguishing different Ki-67 expression levels was 0.901. Smoking status and the normalized iodine concentration in the venous phase were independent factors influencing EGFR mutation, and the AUC of the two-factor combination for predicting the presence of EGFR mutation was 0.807. These results show that spectral CT parameters may be useful for predicting Ki-67 expression and the presence of EGFR mutation in NSCLC.

Indexed as

AgedArea Under CurveCarcinoma, Non-Small-Cell LungDiagnosis, DifferentialErbB ReceptorsFemaleHumansIodineKi-67 AntigenLogistic ModelsLung NeoplasmsMaleMiddle AgedMutationROC CurveSmokingEGFR protein, humanErbB ReceptorsIodineKi-67 Antigen

Identifiers

PMID32103127
PMCPMC7044288
OpenAlexW3008228384

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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.