Evidence map›Paper›PMID 30984345›Full record

ArticleWorld journal of gastrointestinal oncology2019

Feasibility of hyperspectral analysis for discrimination of rabbit liver VX2 tumor.

Feng Duan, Jing Yuan, Xuan Liu, Li Cui, Yan-Hua Bai, Xiao-Hui Li, Huang-Rong Xu, Chen-Yang Liu, Wei-Xing Yu

Abstract read
In one paragraph

Article in World journal of gastrointestinal oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

9 authors.

Feng DuanDepartment of Interventional Radiology, the General Hospital of Chinese People's Liberation Army, Beijing 100853, China.
Jing YuanDepartment of Pathology, the General Hospital of Chinese People's Liberation Army, Beijing 100853, China.
Xuan LiuDepartment of Interventional Radiology, the General Hospital of Chinese People's Liberation Army, Beijing 100853, China.
Li CuiDepartment of Interventional Radiology, the General Hospital of Chinese People's Liberation Army, Beijing 100853, China.
Yan-Hua BaiDepartment of Interventional Radiology, the General Hospital of Chinese People's Liberation Army, Beijing 100853, China.
Xiao-Hui LiDepartment of Interventional Radiology, the General Hospital of Chinese People's Liberation Army, Beijing 100853, China.
Huang-Rong XuKey Laboratory of Spectral Imaging Technology of Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, Shaanxi Province, China.
Chen-Yang LiuKey Laboratory of Spectral Imaging Technology of Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, Shaanxi Province, China.
Wei-Xing YuKey Laboratory of Spectral Imaging Technology of Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, Shaanxi Province, China. yuwx@opt.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma is one of the most common malignant tumors worldwide. Currently, the most accurate diagnosis imaging modality for hepatocellular carcinoma is enhanced magnetic resonance imaging. However, it is still difficult to distinguish cirrhosis lesions, and novel diagnosis modalities are still needed.

aimTo investigate the feasibility of hyperspectral analysis for discrimination of rabbit liver VX2 tumor.

methodsIn this study, a rabbit liver VX2 tumor model was established. After laparotomy, under direct view, VX2 tumor tissue and normal liver tissue were subjected to hyperspectral analysis.

resultsThe spectral signature of the liver tumor was clearly distinguishable from that of the normal tissue, simply from the original spectral curves. Specifically, two absorption peaks at 600-900 nm wavelength in normal tissue disappeared but a new reflection peak appeared in the tumor. The average optical reflection at the whole waveband of 400-1800 nm in liver tumor was higher than that of the normal tissue.

conclusionHyperspectral analysis can differentiate rabbit VX2 tumors. Further research will continue to perform hyperspectral imaging to obtain more information for differentiation of liver cancer from normal tissue.

Indexed as

Animal experimentDiagnosisHyperspectral analysisLiver cancerVX2 tumor

Identifiers

PMID30984345
PMCPMC6451930

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