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      A novel standardized approach for the 3D evaluation of upper eyelid area and volume

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          Abstract

          Background

          Three-dimensional (3D) surface imaging and morphometrics are becoming the preferred craniofacial surface imaging modality. However, as a unique advantage of 3D imaging, areal and volumetric measurements have been rarely conducted and validated for evaluating soft tissue change in the periocular region, especially the upper eyelids. Therefore, based on an existing periocular landmark identification strategy, we proposed a novel modified method to define a standardized upper eyelid region for areal and volumetric measurements and validate its reliability for future clinical application.

          Methods

          Forty-four healthy adult volunteers were enrolled in this cross-sectional study. Three-dimensional facial images were taken with a 3D imaging system. Subsequently, the upper eyelid region selection and areal and volumetric measurements were conducted using a modified landmarks localization strategy to evaluate their intrarater, interrater, and intramethod reliability.

          Results

          Areal measurement of the upper eyelid revealed highly reliable outcomes for intraclass correlation coefficient (ICC), mean absolute difference (MAD), relative error measurement (REM), technical error of measurement (TEM), and relative technical error of measurement (%TEM) of 0.982, 0.1620 cm 2, 2.9%, 0.1510 cm 2, and 2.7% for intrarater reliability, respectively; 0.969, 0.2076 cm 2, 3.7%, 0.1930 cm 2, and 3.5% for interrater reliability, respectively; and 0.917, 0.3636 cm 2, 6.5%, 0.3354 cm 2, and 6.0% for intramethod reliability, respectively. Unsatisfactory results were found for the volumetric measurement of the upper eyelid: the ICC, MAD, REM, TEM, and %TEM estimates for intrarater reliability were 0.992, 0.2299 mL, 10.3%, 0.2414 mL, and 10.8%, respectively; for interrater reliability, these values were 0.985, 0.2749 mL, 12.3%, 0.3253 mL, and 14.6%, respectively; and for intramethod reliability, these values were 0.433, 1.6716 mL, 77.9%, 2.0615 mL, and 96.1%, respectively.

          Conclusions

          This is the first study to propose a standardized upper eyelid region selection strategy and simultaneously validate its reliability for 3D areal and volumetric measurements. This study confirmed the high-level reliability of areal measurement and poor reliability of volumetric measurement based on direct measurements using a single image, which may provide better results when this method is combined with the image overlapping and registration procedure. However, this is subject to further validation. Nonetheless, this method could provide quantitative areal and volumetric data on the upper eyelids and might have widespread application potential in the future.

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          Most cited references27

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          Validation of the Vectra H1 portable three-dimensional photogrammetry system for facial imaging

          Three-dimensional (3D) surface imaging using stereophotogrammetry has become increasingly popular in clinical settings, offering advantages for surgical planning and outcome evaluation. The handheld Vectra H1 is a low-cost, highly portable system that offers several advantages over larger stationary cameras, but independent technical validation is currently lacking. In this study, 3D facial images of 26 adult participants were captured with the Vectra H1 system and the previously validated 3dMDface system. Using error magnitude statistics, 136 linear distances were compared between cameras. In addition, 3D facial surfaces from each system were registered, heat maps generated, and global root mean square (RMS) error calculated. The 136 distances were highly comparable across the two cameras, with an average technical error of measurement (TEM) value of 0.84 mm (range 0.19–1.54 mm). The average RMS value of the 26 surface-to-surface comparisons was 0.43 mm (range 0.33–0.59 mm). In each case, the vast majority of the facial surface differences were within a ±1 mm threshold. Areas exceeding ±1 mm were generally limited to facial regions containing hair or subject to facial microexpressions. These results indicate that 3D facial surface images acquired with the Vectra H1 system are sufficiently accurate for most clinical applications.
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            A Simple Standardized Three-Dimensional Anthropometry for the Periocular Region in a European Population.

            The three-dimensional surface imaging system is becoming more common in plastic surgeries. However, few studies have assessed three-dimensional periocular structures and surgical outcomes. This study aimed to propose a standardized three-dimensional anthropometric protocol for the periocular region, investigate its precision and accuracy, and determine the three-dimensional periocular anthropometric norms for young Caucasians.
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              Reliability of periocular anthropometry using three-dimensional digital stereophotogrammetry.

              Non-invasive three-dimensional (3D) stereophotogrammetry is becoming increasingly popular in many fields. However, few studies have focused on its periocular application. We aimed to provide evidence for the periocular application of a novel anthropometric procedure using 3D stereophotogrammetry by evaluating its reliability.
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                Author and article information

                Journal
                Quant Imaging Med Surg
                Quant Imaging Med Surg
                QIMS
                Quantitative Imaging in Medicine and Surgery
                AME Publishing Company
                2223-4292
                2223-4306
                10 February 2023
                01 March 2023
                : 13
                : 3
                : 1686-1698
                Affiliations
                [1 ]deptEye Center, Second Affiliated Hospital , Zhejiang University School of Medicine , Hangzhou, China;
                [2 ]Zhejiang Provincial Key Lab of Ophthalmology , Hangzhou, China;
                [3 ]deptDepartment of Ophthalmology, University of Cologne , Faculty of Medicine and University Hospital of Cologne , Cologne, Germany;
                [4 ]Center for Integrated Oncology (CIO) Aachen-Bonn-Cologne-Duesseldorf , Cologne, Germany;
                [5 ]deptDepartment of Ophthalmology, Ninth People’s Hospital , Shanghai Jiao Tong University School of Medicine , Shanghai, China
                Author notes

                Contributions: (I) Conception and design: Y Guo, K Yao, LM Heindl; (II) Administrative support: LM Heindl; (III) Provision of study materials or patients: AC Rokohl, LM Heindl; (IV) Collection and assembly of data: Y Guo, W Fan, R Theodosiou; (V) Data analysis and interpretation: All authors; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

                [#]

                These authors contributed equally to this work and should be considered first authors.

                [*]

                These authors contributed equally to this work and should be considered senior authors.

                Correspondence to: Ke Yao, MD, PhD. Eye Center, Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, China. Email: xlren@ 123456zju.edu.cn ; Ludwig M. Heindl, MD, PhD. Department of Ophthalmology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Kerpener Strasse 62, 50937, Cologne, Germany. Email: ludwig.heindl@ 123456uk-koeln.de ; Yongwei Guo, MD. Eye Center, Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou 310009, China. Email: yongwei-guo@ 123456zju.edu.cn .
                [^]

                ORCID: Yongwei Guo, 0000-0001-9195-0770; Alexander C. Rokohl, 0000-0002-0224-3597; Wanlin Fan, 0000-0001-7143-6707; Rodothea Theodosiou, 0000-0002-6920-6854; Xueting Li, 0000-0002-4146-8991; Lixia Lou, 0000-0002-3035-8009; Tao Gao, 0000-0001-5684-0015; Ming Lin, 0000-0001-6467-4643; Ke Yao, 0000-0002-6764-7365; Ludwig M. Heindl, 0000-0002-4413-6132.

                Article
                qims-13-03-1686
                10.21037/qims-22-589
                10006124
                36915328
                8b3d8481-9589-4d96-839e-c4eec2806727
                2023 Quantitative Imaging in Medicine and Surgery. All rights reserved.

                Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

                History
                : 11 June 2022
                : 12 December 2022
                Categories
                Original Article

                area,volume,eyelid,three-dimensional (3d),photogrammetry
                area, volume, eyelid, three-dimensional (3d), photogrammetry

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