Evidence map›Paper›PMID 42513501›Full record

ReviewJournal of clinical medicine2026

Three-Dimensional Morphologic Analysis of Foot Deformities Using Weightbearing CT and Semiautomated Segmentation Technique.

Chan Kang, Sang Bum Kim, Woo Jin Shin, Sung Jun Moon, Byung-Ki Cho, Sung Hoo Kim, Gi Soo Lee, Jeong Kil Lee, Jae Hwang Song

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 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

9 authors.

Chan KangDepartment of Orthopaedic Surgery, College of Medicine, Chungnam National University, Daejeon 35015, Republic of Korea.
Sang Bum KimDepartment of Orthopaedic Surgery, College of Medicine, Chungnam National University, Daejeon 35015, Republic of Korea.ORCID 0000-0002-7497-9077
Woo Jin ShinDepartment of Orthopaedic Surgery, College of Medicine, Konyang University, Daejeon 35365, Republic of Korea.
Sung Jun MoonDepartment of Orthopaedic Surgery, College of Medicine, Konyang University, Daejeon 35365, Republic of Korea.
Byung-Ki ChoDepartment of Orthopaedic Surgery, College of Medicine, Chungbuk National University, Cheongju 28644, Republic of Korea.ORCID 0000-0001-7746-598X
Sung Hoo KimDepartment of Orthopaedic Surgery, College of Medicine, Chungbuk National University, Cheongju 28644, Republic of Korea.ORCID 0000-0002-3338-1087
Gi Soo LeeDepartment of Orthopaedic Surgery, College of Medicine, Chungnam National University, Daejeon 35015, Republic of Korea.
Jeong Kil LeeDepartment of Orthopaedic Surgery, College of Medicine, Chungnam National University, Daejeon 35015, Republic of Korea.ORCID 0000-0002-3403-9240
Jae Hwang SongDepartment of Orthopaedic Surgery, College of Medicine, Konyang University, Daejeon 35365, Republic of Korea.ORCID 0000-0001-5192-4965

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent increases in life expectancy have been accompanied by a growing prevalence of foot deformities, leading to increased clinical interest in their diagnosis and treatment. However, conventional radiography and computed tomography (CT) have inherent limitations in accurately evaluating the complex three-dimensional (3D) morphology of foot deformities, including flatfoot deformity and cavovarus deformity. These limitations may hinder precise characterization of deformity patterns and complicate surgical decision making. To address these challenges, substantial efforts have recently been directed toward the development of advanced imaging and analytic techniques. Weightbearing computed tomography (WBCT) combined with a semiautomated segmentation technique has emerged as a promising modality for the 3D assessment of normal foot anatomy and pathologic deformities. Recent studies have demonstrated the clinical utility of these technologies in improving deformity characterization, quantitative morphologic analysis, and preoperative planning. This review summarizes the current literature regarding 3D morphologic analysis of foot deformities using WBCT and semiautomated segmentation software, provides a comprehensive overview of contemporary imaging-based analytic techniques, and discusses their potential clinical applications and future directions in foot and ankle surgery.

Indexed as

3Dautomated segmentation techniquefoot deformityWBCT

Identifiers

PMID42513501
PMCPMC13412571

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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.