Evidence map›Paper›PMID 36226247›Full record

ArticleComputational and mathematical methods in medicine2022

The Diagnosis of Early Gastric Cancer Based on Medical Imaging Technology and Mathematical Modeling.

Jingying Xiu, Lie Ma, Yanping Ding, Yang Li, Lili Kan, Shi Feng, Fei Wu, Shanshan Xu, Xinan Lu, Ting He and 1 more

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Jingying XiuBeijing Tongren Hospital, Capital Medical University, 100730 Beijing, China.
Lie MaDepartment of Pulmonary and Critical Care Medicine, The Sixth Medical Center of PLA General Hospital, 100048 Beijing, China.
Yanping DingImmunoChina Pharmaceuticals Co., Ltd., 100195 Beijing, China.
Yang LiImmunoChina Pharmaceuticals Co., Ltd., 100195 Beijing, China.
Lili KanDepartment of Pharmacy, Panjin Gem Flower Hospital, 124010 Panjin, Liaoning, China.
Shi FengImmunoChina Pharmaceuticals Co., Ltd., 100195 Beijing, China.
Fei WuImmunoChina Pharmaceuticals Co., Ltd., 100195 Beijing, China.
Shanshan XuImmunoChina Pharmaceuticals Co., Ltd., 100195 Beijing, China.
Xinan LuImmunoChina Pharmaceuticals Co., Ltd., 100195 Beijing, China.ORCID https://orcid.org/0000-0002-2366-8068
Ting HeImmunoChina Pharmaceuticals Co., Ltd., 100195 Beijing, China.ORCID https://orcid.org/0000-0002-8124-1046
Zhihai HanDepartment of Pulmonary and Critical Care Medicine, The Sixth Medical Center of PLA General Hospital, 100048 Beijing, China.ORCID https://orcid.org/0000-0002-2167-2258
Chinese PLA General Hospital · CNBeijing Tongren Hospital · CNPingjin Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The key to reducing the mortality of gastric cancer is early detection, early diagnosis, and early treatment of gastric cancer. Early diagnosis of gastric cancer is the key to early detection and diagnosis of gastric cancer. Early diagnosis and treatment of gastric cancer is of great significance for improving the curative effect and reducing mortality of gastric cancer. The purpose of this paper is to study the diagnosis of early gastric cancer based on medical imaging techniques and mathematical modeling. The effect of W-DeepLab network-assisted diagnosis of images under white light was analyzed, and the value of Narrow Band Imaging and Blue Laser Imaging in the diagnosis of early gastric cancer was compared. Because Blue Laser Imaging endoscopy can clearly observe the demarcation line and microvascular morphology; but when using Narrow Band Imaging observation, part of the demarcation line and microvascular morphology is not observed. The results show that Blue Laser Imaging is brighter than Narrow Band Imaging's endoscopic images, and it is easier to observe the microstructure of lesions under endoscopy, so as to accurately determine the nature of lesions.

Indexed as

Stomach NeoplasmsEarly Detection of CancerGastroscopyHumansNarrow Band ImagingTechnology

Identifiers

PMID36226247
PMCPMC9550491
OpenAlexW4300817586

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.