Evidence map›Paper›PMID 32489919›Full record

ArticleQuantitative imaging in medicine and surgery2020

Optical coherent tomography to evaluate the degree of inflammation in a mouse model of colitis.

Jian Ding, Jiewen Lin, Qiu Li, Xiaoping Chen, Weiqiang Chen, Qiukun Zhang, Shanshan He, Ting Wu, Chengdang Wang, Shuncong Zhong and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

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  6. Animal Models and Pathogenesis of Ulcerative Colitis.Computational and mathematical methods in medicine · 2022
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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

11 authors at 4 institutions in 2 countries.

Jian DingDigestive Department, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Jiewen LinLaboratory of Optics, Terahertz and Nondestructive Testing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Qiu LiDigestive Department, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Xiaoping ChenDepartment of Statistics, College of Mathematics and Informatics & FJKLMAA, Fujian Normal University, Fuzhou 350117, China.
Weiqiang ChenLaboratory of Optics, Terahertz and Nondestructive Testing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Qiukun ZhangLaboratory of Optics, Terahertz and Nondestructive Testing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Shanshan HeDigestive Department, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Ting WuDigestive Department, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Chengdang WangDigestive Department, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Shuncong ZhongLaboratory of Optics, Terahertz and Nondestructive Testing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Dan LiDepartment of Gastroenterology, Union Hospital, Fujian Medical University, Fuzhou 350001, China.
Fujian Medical University · CNFuzhou University · CNFirst Affiliated Hospital of Fujian Medical University · CNFujian Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is an urgent need to develop a noninvasive imaging technique for the diagnosis of early inflammatory lesions or early and real-time microscopic assessment before selecting the most representative biopsy sites.

methodsIn this study, a dextran sulfate sodium colitis model was developed, and intestinal histological damage scores measured the degree of inflammation in colitis. According to these scores, 6 parameters were designed for hematoxylin and eosin (HE) sections based on morphological changes, and 2 parameters were designed for optical coherence tomography (OCT) images to measure submucosal edema by morphological changes to evaluate inflammation degrees in the colon. Spearman's rank correlation method was used to compare the correlation between the submucosal morphological changes and the different degrees of inflammation. One-way analysis of variance (ANOVA) was used for comparisons among groups, while receiver operating characteristic (ROC) curves of the indicators in HE sections and OCT images were plotted.

resultsIn HE sections, angle of mucosal folds (r=0.853, P<0.01), length of basilar parts (r=0.915, P<0.01), submucosal area (r=0.819, P<0.01), and height between submucosal and muscular layers (r=0.451, P=0.001) were correlated with the degree of inflammation in colitis. In OCT images, length of basilar parts (r=0.800, P<0.01) and height of submucosa + thickness of muscularis (r=0.648, P=0.001) were correlated with the degree of inflammation and aided the measurement of inflammation in the colon.

conclusionsParameters based on morphological changes in OCT images and HE sections were significant indexes for evaluating the degree of inflammation in colitis. OCT images have advantages for future clinical applications in situ, including noninvasiveness and real-time imaging.

Indexed as

colitishematoxylin-eosin staining (HE staining)inflammationinflammatory bowel diseaseTomography, optical coherence

Identifiers

PMID32489919
PMCPMC7242297
OpenAlexW3016903193

What OpenQuestion holds

Textmetadata
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.