Evidence map›Paper›PMID 40906587›Full record

ArticleJournal of foot and ankle research2025

AI-Powered Smartphone Application for Measuring Hallux Valgus Angle From Radiographs Displayed on a Monitor.

Ryutaro Takeda, Sanehiro Ando, Toshiko Iidaka, Kenta Makabe, Taro Kasai, Yasunori Omata, Noriko Yoshimura, Sakae Tanaka, Takumi Matsumoto

Abstract read
In one paragraph

Article in Journal of foot and ankle research, 2025. 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

9 authors.

Ryutaro TakedaDepartment of Orthopaedic Surgery, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-4134-9519
Sanehiro AndoDepartment of Orthopaedic Surgery, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Toshiko IidakaDepartment of Preventive Medicine for Locomotive Organ Disorders, 22nd Century Medical and Research Center, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0009-0007-4662-4248
Kenta MakabeDepartment of Orthopaedic Surgery, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-4021-3740
Taro KasaiDepartment of Orthopaedic Surgery, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5523-1602
Yasunori OmataDepartment of Orthopaedic Surgery, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-8912-7483
Noriko YoshimuraDepartment of Preventive Medicine for Locomotive Organ Disorders, 22nd Century Medical and Research Center, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-6555-5782
Sakae TanakaDepartment of Orthopaedic Surgery, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9210-9414
Takumi MatsumotoDepartment of Orthopaedic Surgery, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-2363-9803

Funding

Japan Society for the Promotion of Science 25K20001
6 · The paper itself

Abstract

introductionWe developed a smartphone application capable of automatically measuring the hallux valgus angle (HVA) and various intermetatarsal angles by capturing radiographic images displayed on a monitor. This study aimed to evaluate the accuracy of these measurements using the application.

methodsThree users-a board-certified orthopedic surgeon, a resident, and a nonhealthcare professional (Users 1, 2, and 3)-independently used the application to measure angles on 92 radiographs from 92 consecutive patients. Mean absolute errors (MAEs) between the application-based measurements and the median of manual measurements performed by three experienced foot and ankle surgeons using a DICOM viewer were calculated for each user. To evaluate whether the measurement errors were acceptably small, one-sided t-tests were conducted to determine whether the MAEs were significantly less than 3°. Differences in MAEs among the three users were also assessed using analysis of variance.

resultsThe MAEs of HVA by the three users were 1.1°, 1.3°, and 1.4°, respectively, all significantly below the 3° threshold (95% CI upper limit; 1.2°, 1.5°, and 1.5°). Comparable accuracy was observed for intermetatarsal angles, which have slightly greater variability for more lateral metatarsals. All measurements met the accuracy criterion of < 3°, except for the intermetatarsal angles between the first and fifth metatarsals measured by the nonhealthcare user. No significant difference in MAE was found among users for HVA (p = 0.13), whereas significant differences were noted for some intermetatarsal angles.

conclusionsThe developed smartphone application accurately measured the HVA and various intermetatarsal angles, with performance comparable to that of experienced foot and ankle surgeons. Importantly, sufficient accuracy was achieved even when used by individuals without clinical training. The application may be useful as a practical tool in clinical and research settings.

Indexed as

Hallux ValgusMobile ApplicationsRadiographySmartphoneAdultAgedFemaleHumansMaleMetatarsal BonesMiddle AgedReproducibility of Resultsartificial intelligenceautomatic measurementhallux valgus angleintermetatarsal angleneural networksmartphone

Identifiers

PMID40906587
PMCPMC12410447

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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.