Evidence map›Paper›PMID 41886046›Full record

ReviewRadiological physics and technology2026

Historical and clinical contributions of the JSRT chest radiograph database to medical imaging research.

Junji Shiraishi, Shigehiko Katsuragawa, Kunio Doi

Abstract readReviewHistorical Article
PubMed Publisher
In one paragraph

Review in Radiological physics and technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Junji ShiraishiDepartment of Radiological Sciences, Faculty of Medical Science, Fukuoka International University of Health and Welfare, 2-4-16 Momochihama, Sawara-Ku, Fukuoka, 814-0001, Japan. j2s@ihwg.jp.ORCID http://orcid.org/0000-0002-7899-9876
Shigehiko KatsuragawaFormerly, Faculty of Fukuoka Medical Technology, Teikyo University, Ohmuta, Japan.
Kunio DoiUniversity of Chicago, Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Japanese Society of Radiological Technology (JSRT) chest radiograph database (JSRT-DB), developed in 1998, has been widely used in medical imaging research for nearly three decades and has been cited more than 800 times. Although recent advances in artificial intelligence have shifted the focus toward large-scale datasets, the JSRT-DB has played an important role in establishing methodological standards for diagnostic performance evaluation, particularly in lung nodule detection. This review summarizes the historical background, design philosophy, and significant contributions of the JSRT-DB to observer performance studies, computer-aided diagnosis, and radiological education. It also discusses the lessons learned from the JSRT-DB that remain relevant to the development and utilization of large-scale medical imaging databases.

Indexed as

Biomedical ResearchDatabases, FactualRadiography, ThoracicSocieties, MedicalTechnology, RadiologicHistory, 20th CenturyHistory, 21st CenturyHumansChest radiographyComputer-aided diagnosisJSRT databaseMedical imaging databaseObserver performance studiesROC analysis

Identifiers

What OpenQuestion holds

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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.