Evidence map›Paper›PMID 42319451›Full record

ArticleInternational journal of legal medicine2026

Estimation of population affinity from computed tomography-derived pelvic measurements: a comparative study of Indonesian and Japanese population samples.

Suguru Torimitsu, Ambika Flavel, Lauren Swift, Yohsuke Makino, Ridhwan Lye, Nur Amelia Bachtiar, Daniel Franklin

Abstract readComparative Study
In one paragraph

Article in International journal of legal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

7 authors.

Suguru TorimitsuCentre for Forensic Anthropology, School of Social Sciences, University of Western Australia, Crawley, WA, 6009, Australia. torimitsu@m.u-tokyo.ac.jp.ORCID https://orcid.org/0000-0003-4891-8673
Ambika FlavelCentre for Forensic Anthropology, School of Social Sciences, University of Western Australia, Crawley, WA, 6009, Australia.
Lauren SwiftCentre for Forensic Anthropology, School of Social Sciences, University of Western Australia, Crawley, WA, 6009, Australia.
Yohsuke MakinoDepartment of Forensic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan.
Ridhwan LyeCentre for Forensic Anthropology, School of Social Sciences, University of Western Australia, Crawley, WA, 6009, Australia.
Nur Amelia BachtiarRadiology Department, Hasanuddin University, Jalan Perintis Kemerdekaan KM. 10, Talamanrea, Makassar, 90254, Indonesia.
Daniel FranklinCentre for Forensic Anthropology, School of Social Sciences, University of Western Australia, Crawley, WA, 6009, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population affinity estimation is a core component of forensic anthropology, particularly in cases where DNA, dental records, and fingerprint evidence are unavailable. Although cranial morphology has been extensively investigated, direct comparative studies of pelvic morphology among Asian populations remain scarce. This study quantified pelvic morphometric differences between contemporary Indonesian and Japanese adults and evaluated the feasibility of population affinity classification using measurements derived from computed tomography (CT). CT scans of 185 Indonesian and 236 Japanese adults were analyzed. Eleven pelvic measurements were obtained from three-dimensional reconstructions, and interpopulation differences were assessed using nonparametric statistical tests. Machine learning models, including random forest and support vector machines, were developed for sex-mixed binary classification, sex-specific binary classification, and four-way classifications by population and sex. Significant differences were evident across all measurements. Japanese individuals exhibited consistently larger mean values than Indonesians of the same sex, while patterns of sexual dimorphism were comparable between populations. Classification accuracy was 94.3% for random forest and 96.4% for support vector machines in the sex-mixed model, and 94.1% and 96.0%, respectively, in the four-way model. Support vector machines outperformed random forests in sex-specific classifications. Analysis of mean absolute Shapley Additive explanations (SHAP) values identified the subpubic angle and the height between the anterior superior iliac spine and the anteroinferior margin of the ischial tuberosity as the most influential variables. These findings demonstrate that CT-based pelvic morphometrics can reliably differentiate Indonesian and Japanese individuals and support their application in forensic identification when crania are unavailable.

Indexed as

Pelvic BonesAdultEast Asian PeopleFemaleForensic AnthropologyHumansImaging, Three-DimensionalIndonesiaJapanMachine LearningMaleMiddle AgedRandom ForestSoutheast Asian PeopleSupport Vector MachineTomography, X-Ray ComputedForensic anthropologyIndonesiaJapanMultidetector computed tomographyPelvisPopulation affinity

Identifiers

PMID42319451
PMCPMC13658380

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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.