Evidence map›Paper›PMID 32048096›Full record

ArticleGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2020

5-ALA-assistant automated detection of lymph node metastasis in gastric cancer patients.

Tatsuya Matsumoto, Yasutoshi Murayama, Hisataka Matsuo, Kengo Okochi, Naotaka Koshiishi, Yoshinori Harada, Hideo Tanaka, Tetsuro Takamatsu, Eigo Otsuji

Open access · hybridAbstract read
In one paragraph

Article in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 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
1.4field-weighted citation impact, top 16% 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, 15 citations in OpenAlex.

  1. Unexpected black-stained lymph nodes: A case report.International journal of surgery case reports · 2025
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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 at 2 institutions in 1 country.

Tatsuya MatsumotoDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 6028566, Japan.
Yasutoshi MurayamaDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 6028566, Japan. murayama@koto.kpu-m.ac.jp.ORCID 0000-0001-5875-1403
Hisataka MatsuoDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 6028566, Japan.
Kengo OkochiUshio Inc., 6409 Moto-Ishikawa-cho, Aoba-ku, Yokohama, Kanagawa, 2250004, Japan.
Naotaka KoshiishiUshio Inc., 6409 Moto-Ishikawa-cho, Aoba-ku, Yokohama, Kanagawa, 2250004, Japan.
Yoshinori HaradaDepartment of Pathology and Cell Regulation, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 6028566, Japan.
Hideo TanakaDepartment of Pathology and Cell Regulation, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 6028566, Japan.
Tetsuro TakamatsuDepartment of Pathology and Cell Regulation, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 6028566, Japan.
Eigo OtsujiDivision of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 6028566, Japan.
Kyoto Prefectural University of Medicine · JPUshio (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background5-aminolevulinic acid (5-ALA) has been utilized for cancer diagnosis as a fluorescence probe. We have reported the feasibility of 5-ALA-induced protoporphyrin IX (PpIX) fluorescence for detecting lymph node (LN) metastasis in gastrointestinal malignancies. However, a major barrier to the fluorescence diagnosis has been that the evaluation has been highly dependent on the observers. In this study, we examined the validity of a developed device for automated detection without subjectivity.

methodsGastric cancer patients who received oral administration of 5-ALA (20 mg/kg) prior to surgery were enrolled. For a total of 323 LNs obtained from 64 patients, the diagnostic results of the device were compared to those of conventional histopathological examination based on hematoxylin-and-eosin-stained slides. The accuracy with the device was compared to that of stereoscopic detection with conventional fluorescence microscopy for 211 LNs from 42 patients. We used two types of image processing that we previously developed to eliminate autofluorescence of background tissues: differential and ratio methods.

resultsFor detection of metastasis in 323 LNs, the areas under the receiver operating characteristic curves with the differential method and ratio method were 0.921 and 0.909, respectively. The sensitivity, specificity, and accuracy with the differential method were 78.0%, 96.8%, and 94.4%; while those with the ratio method were 78.0%, 96.1%, and 93.8%, respectively. In 211 LN analysis, the diagnostic accuracy with the device was comparable to that of stereoscopic examination.

conclusionOur device for automated detection of LN metastasis using 5-ALA can be a useful tool for intraoperative diagnosis.

Indexed as

AdenocarcinomaAdultAgedAged, 80 and overAminolevulinic AcidFemaleFluorescent DyesFollow-Up StudiesHumansImage Processing, Computer-AssistedLymphatic MetastasisLymph NodesMaleMiddle AgedPhotosensitizing AgentsPrognosisAminolevulinic AcidFluorescent DyesPhotosensitizing Agentsprotoporphyrin IXProtoporphyrins5-Aminolevulinic acidGastric cancerLymph node metastasisProtoporphyrin IX

Identifiers

PMID32048096
PMCPMC7305096
OpenAlexW3006603347

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LicenceCC BY
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Registered trials

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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.