{"title":"A New and Validated Computed Tomography-Based Method for Measurement of Facial Fat Volume.","authors":"Mengyuan Jiang, Hao Shao, Qingchun Li","doi":"10.1007/s00266-025-04769-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>A consensus on effectively measuring facial fat volume by computed tomography (CT) or magnetic resonance imaging is lacking. This study aimed to assess the validity and reproducibility of a new CT-based method for measuring facial fat volume.</p><p><strong>Methods: </strong>Volume was measured using a new semiautomatic segmentation method. Two observers measured the volume of the fat layers in four soft tissue models constructed using the three-dimensional viewer software. These measurements were compared with previously reported standard volumes. Fat volume in the area of interest was measured from 16 hemifacial CT images by two independent observers. Based on the acquired data, inter-class correlation coefficients and Bland-Altman analyses were performed.</p><p><strong>Results: </strong>The mean difference (ml) ± SEM in comparison with the known volume was - 0.87 ± 4.11 (observer MY) and 3.42 ± 4.68 (observer HW), respectively. The fat volume of pork tissue (PFV) measured using MY (P = 0.846 > 0.05) and HW (P = 0.518 > 0.05) did not differ significantly from the standard volume. ICC calculations and Bland-Altman analysis indicated good agreement between inter- and intra-observer (ICC = 0.992 and 0.970 > 0.90, P<0.001).</p><p><strong>Conclusions: </strong>This new volumetric analysis for facial fat using a semiautomatic segmentation technique on CT scans is an effective and reliable tool.</p><p><strong>Level of evidence iv: </strong>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.</p>","PeriodicalId":7609,"journal":{"name":"Aesthetic Plastic Surgery","volume":" ","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aesthetic Plastic Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00266-025-04769-0","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: A consensus on effectively measuring facial fat volume by computed tomography (CT) or magnetic resonance imaging is lacking. This study aimed to assess the validity and reproducibility of a new CT-based method for measuring facial fat volume.
Methods: Volume was measured using a new semiautomatic segmentation method. Two observers measured the volume of the fat layers in four soft tissue models constructed using the three-dimensional viewer software. These measurements were compared with previously reported standard volumes. Fat volume in the area of interest was measured from 16 hemifacial CT images by two independent observers. Based on the acquired data, inter-class correlation coefficients and Bland-Altman analyses were performed.
Results: The mean difference (ml) ± SEM in comparison with the known volume was - 0.87 ± 4.11 (observer MY) and 3.42 ± 4.68 (observer HW), respectively. The fat volume of pork tissue (PFV) measured using MY (P = 0.846 > 0.05) and HW (P = 0.518 > 0.05) did not differ significantly from the standard volume. ICC calculations and Bland-Altman analysis indicated good agreement between inter- and intra-observer (ICC = 0.992 and 0.970 > 0.90, P<0.001).
Conclusions: This new volumetric analysis for facial fat using a semiautomatic segmentation technique on CT scans is an effective and reliable tool.
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.
期刊介绍：
Aesthetic Plastic Surgery is a publication of the International Society of Aesthetic Plastic Surgery and the official journal of the European Association of Societies of Aesthetic Plastic Surgery (EASAPS), Società Italiana di Chirurgia Plastica Ricostruttiva ed Estetica (SICPRE), Vereinigung der Deutschen Aesthetisch Plastischen Chirurgen (VDAPC), the Romanian Aesthetic Surgery Society (RASS), Asociación Española de Cirugía Estética Plástica (AECEP), La Sociedad Argentina de Cirugía Plástica, Estética y Reparadora (SACPER), the Rhinoplasty Society of Europe (RSE), the Iranian Society of Plastic and Aesthetic Surgeons (ISPAS), the Singapore Association of Plastic Surgeons (SAPS), the Australasian Society of Aesthetic Plastic Surgeons (ASAPS), the Egyptian Society of Plastic and Reconstructive Surgeons (ESPRS), and the Sociedad Chilena de Cirugía Plástica, Reconstructiva y Estética (SCCP).
Aesthetic Plastic Surgery provides a forum for original articles advancing the art of aesthetic plastic surgery. Many describe surgical craftsmanship; others deal with complications in surgical procedures and methods by which to treat or avoid them. Coverage includes "second thoughts" on established techniques, which might be abandoned, modified, or improved. Also included are case histories; improvements in surgical instruments, pharmaceuticals, and operating room equipment; and discussions of problems such as the role of psychosocial factors in the doctor-patient and the patient-public interrelationships.
Aesthetic Plastic Surgery is covered in Current Contents/Clinical Medicine, SciSearch, Research Alert, Index Medicus-Medline, and Excerpta Medica/Embase.
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