Evidence map›Paper›PMID 42319668›Full record

ArticleRadiological physics and technology2026

A reproducible framework for constructing a longitudinal low-dose CT screening image database: implementation using 11 years of real-world data.

Junji Shiraishi, Rie Tanaka, Tetsuo Matsunaga, Tetsuya Minami, Satoshi Kobayashi

Abstract read
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In one paragraph

Article in Radiological physics and technology, 2026. 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
–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

1 citing paper in PubMed.

  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

5 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
Rie TanakaSchool of Health Sciences, College of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 5-11-80 Kodatsuno, Kanazawa, Ishikawa, 920-0942, Japan.
Tetsuo MatsunagaIshikawa Health Association, 115 Kamino-cho Higashi, Kanazawa, Ishikawa, 920-0365, Japan.
Tetsuya MinamiDepartment of Diagnostic and Therapeutic Radiology, Kanazawa Medical University, 1-1 Daigaku, Kahoku-gun, Uchinada-cho, Ishikawa, 920-0293, Japan.
Satoshi KobayashiDepartment of Radiology, Kanazawa University Graduate School of Medical Science, 13-1 Takaramachi, Kanazawa, Ishikawa, 920-8641, Japan.

Funding

JSPS KAKENHI 19K08155JSPS KAKENHI 22K07669
6 · The paper itself

Abstract

This study presents a reproducible methodological framework for constructing a longitudinal low-dose computed tomography (LDCT) screening image database and demonstrates its implementation using 11 years of real-world data from a single region in Japan. The framework integrates hierarchical identifier design, deterministic metadata linkage, structured anonymization, and a minimal metadata specification to enable consistent organization of longitudinal imaging data. The implemented database comprises 45,337 LDCT examinations from 23,065 examinees, with 47.0% undergoing repeated screening. All examinations were acquired using a standardized CT scanner and protocol and were linked to screening assessment categories and smoking exposure information. The resulting structure supports reproducible subject-level aggregation, temporal tracking, and quantitative image analysis. This framework provides a transferable model for institutions seeking to construct longitudinal screening imaging repositories.

Indexed as

Databases, FactualRadiation DosageTomography, X-Ray ComputedHumansImage Processing, Computer-AssistedLongitudinal StudiesMetadataReproducibility of ResultsTime FactorsDatabase frameworkLongitudinal imaging databaseLow-dose computed tomographyMetadata integrationReproducibility

Identifiers

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Textmetadata
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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.