Evidence map›Paper›PMID 41720974›Full record

ArticleAesthetic plastic surgery2026

Establishment and Validation of a Standardized Midface Assessment Protocol Using Three-Dimensional Stereophotogrammetry.

Wenqian Yang, Yuyan Yang, Yarong Chi, Lin Jin, Yuan Liu, Nanze Yu, Jiuzuo Huang, Xiao Long

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Aesthetic plastic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

8 authors.

Wenqian Yang *Department of Plastic and Reconstructive Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1, Shuaifuyuan, Dongcheng District, Beijing, 100005, China.
Yuyan YangDepartment of Plastic and Reconstructive Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1, Shuaifuyuan, Dongcheng District, Beijing, 100005, China.
Yarong Chi *Department of Plastic and Reconstructive Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1, Shuaifuyuan, Dongcheng District, Beijing, 100005, China.
Lin JinDepartment of Plastic and Reconstructive Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1, Shuaifuyuan, Dongcheng District, Beijing, 100005, China.
Yuan Liu4+4 Medical Doctor Program, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Nanze YuDepartment of Plastic and Reconstructive Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1, Shuaifuyuan, Dongcheng District, Beijing, 100005, China. yunanze@pumch.cn.
Jiuzuo HuangDepartment of Plastic and Reconstructive Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1, Shuaifuyuan, Dongcheng District, Beijing, 100005, China. hjz1983@126.com.
Xiao LongDepartment of Plastic and Reconstructive Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1, Shuaifuyuan, Dongcheng District, Beijing, 100005, China. pumclongxiao@126.com.ORCID 0000-0003-0136-2508

Funding

Beijing Natural Science Foundation of China L244061Beijing Natural Science Foundation of China L244062Beijing Natural Science Foundation of China L254044Peking Union Medical College Hospital Talent Cultivation Program (Category C) UBJ11557
6 · The paper itself

Abstract

backgroundThree-dimensional (3D) stereophotogrammetry has become an essential tool in anthropometry for both clinical and aesthetic purposes. However, to our knowledge, no standardized and validated 3D protocol specifically targeting the midface region currently exists. This study aimed to develop a standardized 3D anthropometric protocol for the midface region and to assess its reliability.

methodsTwenty-eight female participants and nine male participants (74 midfaces; mean age 30.3±7.2 years) were enrolled. For each participant, two sets of 3D facial images were acquired using the VECTRA H2 imaging system. Each image set was independently measured twice by two trained raters. A total of 34 anatomical landmarks were identified to partition the midface into 13 predefined zones. Based on these landmarks and zones, 13 surface area-based measurements, along with 13 volumetric, 4 angular, and 5 linear measurements, were obtained. Intrarater, interrater, and intramethod reliability were assessed.

resultsThe protocol demonstrated high reliability across all assessments, characterized by low measurement error and excellent agreements. Intrarater, interrater, and intramethod analyses yielded consistently high intraclass correlation coefficient greater than 0.95, supporting strong measurement reproducibility.

conclusionsThe proposed protocol using 3D stereophotogrammetry is reliable and reproducible for midface anthropometric evaluation. It holds promise for application in clinical contexts including facial morphology assessment, surgical planning, and outcome evaluation in facial contouring and related interventions. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Indexed as

FaceImaging, Three-DimensionalPhotogrammetryAdultAnthropometryEstheticsFemaleHumansMaleReproducibility of ResultsYoung AdultMidfaceProtocol establishmentReliabilityThree-dimensional stereophotogrammetry

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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.