Evidence map›Paper›PMID 38418139›Full record

ArticleIn vivo (Athens, Greece)

Real-time Histological Evaluation of Gastric Cancer Tissue by Using a Confocal Laser Endomicroscopic System.

Hyunsik Bae, Haeyon Cho, Yeonju Jo, So Mi Heo, Jinah Chu, Sangjoon Choi, Kyungmin Hwang, Kyuyoung Kim, Seokhwi Kim

Open access · diamondAbstract read
In one paragraph

Article in In vivo (Athens, Greece). 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
0.4field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

9 authors at 4 institutions in 1 country.

Hyunsik Bae *Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Haeyon Cho *Department of Pathology, Asan Medical Center, Ulsan University Medical School, Seoul, Republic of Korea.
Yeonju Jo *VPIX Medical Inc., Daejeon, Republic of Korea.
So Mi HeoDepartment of Pathology, Ajou University School of Medicine, Suwon, Republic of Korea.
Jinah ChuDepartment of Pathology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Sangjoon ChoiDepartment of Pathology, Asan Medical Center, Ulsan University Medical School, Seoul, Republic of Korea.
Kyungmin HwangVPIX Medical Inc., Daejeon, Republic of Korea.
Kyuyoung KimVPIX Medical Inc., Daejeon, Republic of Korea; ky.kim@vpixmedical.com.
Seokhwi KimDepartment of Pathology, Ajou University School of Medicine, Suwon, Republic of Korea; seokhwikim@ajou.ac.kr.
Ajou University · KRAsan Medical Center · KRKangbuk Samsung Hospital · KRSamsung Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimThe need for instant histological evaluation of fresh tissue, especially in cancer treatment, remains paramount. The conventional frozen section technique has inherent limitations, prompting the exploration of alternative methods. A recently developed confocal laser endomicroscopic system provides real-time imaging of the tissue without the need for glass slide preparation. Herein, we evaluated its applicability in the histologic evaluation of gastric cancer tissues. MATERIALS AND

methodsA confocal laser endomicroscopic system (CLES) with a Lissajous pattern laser scanning, was developed. Fourteen fresh gastric cancer tissues and the same number of normal gastric tissues were obtained from advanced gastric cancer patients. Fluorescein sodium was used for staining. Five pathologists interpreted 100 endomicroscopic images and decided their histologic location and the presence of cancer. Following the review of matched hematoxylin and eosin (H&E) slides, their performance was evaluated with another 100 images.

resultsCLES images mirrored gastric tissue histology. Pathologists were able to detect the histologic location of the images with 65.7% accuracy and differentiate cancer tissue from normal with 74.7% accuracy. The sensitivity and specificity of cancer detection were 71.9% and 76.1%. Following the review of matched H&E images, the accuracy of identifying the histologic location was increased to 92.8% (p<0.0001), and that of detecting cancer tissue was also increased to 90.9% (p<0.001). The sensitivity and specificity of cancer detection were enhanced to 89.1% and 93.2% (p<0.0001).

conclusionHigh-quality histological images were immediately acquired by the CLES. The operator training enabled the accurate detection of cancer and histologic location raising its potential applicability as a real-time tissue imaging modality.

Indexed as

Stomach NeoplasmsEosine Yellowish-(YS)FluoresceinHumansLasersMicroscopy, ConfocalEosine Yellowish-(YS)Fluoresceinconfocal laser endomicroscopyGastric cancerhistologyreal-time imaging

Identifiers

PMID38418139
PMCPMC10905484
OpenAlexW4392250677

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.