Evidence map›Paper›PMID 39269480›Full record

ArticleSurgical endoscopy2024

A novel color-aided system for diagnosis of early gastric cancer using magnifying endoscopy with narrow-band imaging.

Hui Zhang, Rongwei Ruan, Jin Fang, Jiangping Yu, Shengsen Chen, Yali Tao, Shuwen Zhu, Shi Wang

Abstract read
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In one paragraph

Article in Surgical endoscopy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Hui ZhangDepartment of Endoscopy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Banshan Road 1, Gongshu District, Hangzhou, 310022, Zhejiang, China.
Rongwei RuanDepartment of Endoscopy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Banshan Road 1, Gongshu District, Hangzhou, 310022, Zhejiang, China.
Jin FangDepartment of Endoscopy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Banshan Road 1, Gongshu District, Hangzhou, 310022, Zhejiang, China.
Jiangping YuDepartment of Endoscopy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Banshan Road 1, Gongshu District, Hangzhou, 310022, Zhejiang, China.
Shengsen ChenDepartment of Endoscopy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Banshan Road 1, Gongshu District, Hangzhou, 310022, Zhejiang, China.
Yali TaoDepartment of Endoscopy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Banshan Road 1, Gongshu District, Hangzhou, 310022, Zhejiang, China.
Shuwen ZhuDepartment of Endoscopy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Banshan Road 1, Gongshu District, Hangzhou, 310022, Zhejiang, China.
Shi WangDepartment of Endoscopy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Banshan Road 1, Gongshu District, Hangzhou, 310022, Zhejiang, China. wangshi@zjcc.org.cn.

Funding

Medical Science and Technology Project of Zhejiang Province 2024KY834
6 · The paper itself

Abstract

backgroundThe Pink Zone Pattern (PP) sign is a typical color alteration of early gastric cancer (EGC) under magnifying endoscopic narrow-band imaging (ME-NBI). By integrating the color changes (PP sign) with the "vessel plus surface (VS)" classification system, we developed an innovative diagnostic system for EGC and named it "Pink Microsurface Microvascular (PSV)" system. Here, we aimed to elucidate the diagnostic performance of the PSV system for EGC.

methodsWe conducted a single-center prospective clinical study (before-after design) consisting of 2 cross-sectional studies at 2 separate periods. In the before phase, 184 suspected lesions were evaluated using the VS system under ME-NBI; in the after phase, 183 suspected lesions were evaluated using the PSV system. We compared the diagnostic accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) between the VS group and the PSV group.

resultsThe accuracy, sensitivity, specificity, PPV, and NPV of the VS system for EGC were 84.6%, 87.0%, 83.6%, 67.8%, and 94.2%, respectively, and those for the PSV system were 93.0%, 92.0%, 93.4%, 85.2%, and 96.6%, respectively. The accuracy, specificity, and PPV of the PSV system were superior to those of the VS system. However, the sensitivity and NPV did not significantly differ between the VS system and the PSV system. The VS system was inconclusive for 22 lesions (12.0%) and the PSV system was inconclusive for 11 lesions (6.0%). The PSV system could identify more suspicious lesions than the VS system.

conclusionsWe propose a new PSV diagnostic system by combining the VS system and the PP sign. Compared with the VS system, the PSV system could identify more suspected lesions and improve the diagnostic performance of EGC.

Indexed as

Early Detection of CancerGastroscopyNarrow Band ImagingStomach NeoplasmsAdultAgedAged, 80 and overColorCross-Sectional StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesSensitivity and SpecificityGastric cancerMagnifying endoscopyNarrow-band imagingPink Zone PatternPSV system

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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.