Evidence map›Paper›PMID 30514959›Full record

ArticleScientific reports2018

Dual Energy Spectral CT Imaging in the assessment of Gastric Cancer and cell proliferation: A Preliminary Study.

Sai-Ming Cheng, Wei Ling, Jiong Zhu, Jian-Rong Xu, Lian-Ming Wu, Hong-Xia Gong

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2018. 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
1.0field-weighted citation impact, top 25% 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, 34 citations in OpenAlex.

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  18. Dual-energy CT quantitative parameters for evaluating Immunohistochemical biomarkers of invasive breast cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2021
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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

6 authors at 1 institution in 1 country.

Sai-Ming ChengDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200127, China.
Wei LingDepartment of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200127, China.
Jiong ZhuDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200127, China.
Jian-Rong XuDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200127, China. xujrrenji@126.com.
Lian-Ming WuDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200127, China. wlmssmu@126.com.
Hong-Xia GongDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200127, China. gong-hongxia@163.com.
Renji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer is one of the main diseases leading to cancer-related death. The recently introduced dual-energy spectral CT (DEsCT), allows to obtain many quantitative measurements from iodine-based material decomposition (MD) images, which contribute to improve the accuracy of staging of GC comparing to multidetector spiral CT. And Ki-67 is a well-recognized nuclear antigen-specific biomarker reflecting cellular proliferation for estimating growth fractions of various tumor types. In the present study we analyzed the features of quantitative measurements (the curve slope (λ

Indexed as

Cell ProliferationAdultAgedAged, 80 and overFemaleHumansImage Processing, Computer-AssistedKi-67 AntigenMaleMiddle AgedNeoplasm StagingProspective StudiesStomach NeoplasmsTomography, X-Ray ComputedKi-67 AntigenMKI67 protein, human

Identifiers

PMID30514959
PMCPMC6279754
OpenAlexW2903243237

What OpenQuestion holds

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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.