3D Anthropometric Research Articles

3DPatBody: 3D dataset of human bodies of a patagonian population and their anthropometric measurements

The study of human body shape using classical anthropometric techniques is often problematic due to several error sources. Instead, 3D models and representations provide more accurate registrations, which are stable across acquisitions, and enable more precise, systematic, and fast measuring capabilities. Thus, the same person can be scanned several times and precise differential measurements can be established in an accurate manner. Here we present 3DPatBody, a dataset including 3D body scans, with their corresponding 3D point clouds and anthropometric measurements, from a sample of a Patagonian population (female=211, male=87, other=1). The sample is of scientific interest since it is representative of a phenotype characterized by both its biomedical meaning as a descriptor of overweight and obesity, and its population-specific nature related to ancestry and/or local environmental factors. The acquired 3D models were used to compare shape variables against classical anthropometric data. The shape indicators proved to be accurate predictors of classical indices, also adding geometric characteristics that reflect more properly the shape of the body under study.

Three-Dimensional Anthropometric Analysis of the Effect of Lip Reconstructive Surgery on Children with Cleft Lip and Palate at Three Different Times.

This investigation aimed to assess the optimal timing for lip repair in children with cleft lip and palate via 3D anthropometric analysis to evaluate their maxillofacial structures. The sample comprised 252 digitized dental models, divided into groups according to the following timing of lip repair: G1 (n = 50): 3 months; G2 (n = 50): 5 and 6 months; G3 (n = 26): 8 and 10 months. Models were evaluated at two-time points: T1: before lip repair; T2: at 5 years of age. Linear measurements, area, and Atack index were analyzed. At T1, the intergroup analysis revealed that G1 had statistically significant lower means of I-C', I-C, C-C', and the sum of the segment areas compared to G2 (p = 0.0140, p = 0.0082, p = 0.0004, p < 0.0001, respectively). In addition, there was a statistically significant difference when comparing the cleft area between G2 and G3 (p = 0.0346). At T2, the intergroup analysis revealed that G1 presented a statistically significant mean I-C' compared to G3 (p = 0.0461). In the I-CC' length analysis, G1 and G3 showed higher means when compared to G2 (p = 0.0039). The I-T' measurement was statistically higher in G1 than in G2 (p = 0.0251). In the intergroup growth rate analysis, G1 and G2 showed statistically significant differences in the I-C' measurement compared to G3 (p = 0.0003). In the analysis of the Atack index, there was a statistically significant difference between G1 and the other sample sets (p < 0.0001). Children who underwent surgery later showed better results in terms of the growth and development of the dental arches.

Comparison of Nasal Dimensions According to the Facial and Nasal Indices Using Cone-Beam Computed Tomography.

The nasal cavity constitutes the foremost portion of the respiratory system, composed of the anterior nasal aperture, nostrils, and choanae. It has an intricate anatomical structure since it has various functions, such as heat exchange, humidification, and filtration. Accordingly, clinical symptoms related to the nose, such as nasal congestion, snoring, and nasal septal deviation, are closely linked to the complex anatomical structure of the nasal cavity. Thus, the nasal cavity stands as a paramount structure in both forensic and clinical contexts. The majority of relevant studies have performed comparisons between sexes, with studies making comparisons according to the FI and NI only and examining relative percentages. Furthermore, the nasal cavity was measured in 2D, and not 3D, in most cases. In this study, we conducted a 3D modeling and anthropometric assessment of the nasal cavity using a 3D analysis software. Furthermore, we aimed to investigate whether the size of the nasal cavity differs according to sex, facial index (FI), and nasal index (NI). We retrospectively reviewed the cone-beam computed tomography (CBCT) data of 100 participants (50 males, 50 females) aged 20-29 years who visited the dental hospital of Dankook University (IRB approval no. DKUDH IRB 2020-01-007). Our findings showed that nasal cavity sizes generally differed according to sex, FI, and NI. These findings provide implications for performing patient-tailored surgeries in clinical practice and conducting further research on the nasal cavity. Therefore, we believe that our study makes a significant contribution to the literature.

3D facial mask for facial asymmetry diagnosis

ObjectivesFacial asymmetry is a common problem seen in orthodontic clinics that may affect patient esthetics. In some instances, severe asymmetry that affects patient esthetics may cause psychological issues. An objective method is therefore required to help orthodontists identify asymmetry issues. Materials and methodsWe used three-dimensional (3D) facial images and landmark-based anthropometric analysis to construct a 3D facial mask to evaluate asymmetry. The landmark coordinates were transformed using a symmetric 3D face model to evaluate the efficacy of this method. Patients with facial asymmetry were recruited to conduct mirror and overlap analysis to form color maps, which were used to verify the utility of the novel soft tissue landmark-based method. ResultsThe preliminary results demonstrated that the asymmetry evaluation method had a similar response rate compared to diagnosis using mirror and overlap 3D images, and could therefore identify 3D asymmetry problems. ConclusionsBy using 3D facial scans and 3D anthropometric analysis, we developed a preliminary evaluation method that provides objective parameters to clinically evaluate patient facial asymmetry and aid in the diagnosis of asymmetric areas. Clinical relevanceThis study presents a novel facial asymmetry diagnostic method that has the potential to aid clinical decisions during problem identification, treatment planning, and efficacy evaluation.

Correlation between low skeletal muscle index and 3D anthropometric data measured by 3D body scanner: screening sarcopenia.

The screening tools for sarcopenia are measuring calf circumference, SARC-F or SPPB. However, not all of these tools have high sensitivity, specificity, and low margins of error. This research investigates potential of 3D anthropometry of the lower extremities on screening of sarcopenia. From October 2022 to February 2023, we retrospectively analyzed results of 3D body scanner and bio-impedance analysis for patients aged 45 to 85 at risk of sarcopenia. The 3D scanner measured the surface and volume values of both thighs and calves. When skeletal muscle index (SMI) is less than 5.7, patients were classified to Low SMI group, indicative of sarcopenia. A total six out of 62 patients were classified to Low SMI group, showing significantly lower values of right, left, mean calf volumes and mean calf surface than the other patients (right calf volume 2.62 L vs. 3.34 L, p = 0.033; left calf volume 2.62 L vs. 3.25 L, p = 0.044; mean calf volume 2.62 L vs. 3.29 L, p = 0.029; mean calf surface 0.12 m2 vs. 0.13 m2, p = 0.049). There was no statistical difference in thigh volume and surface. Through AUC-ROC analysis, mean calf volume was the most significant cut-off value (right calf volume 2.80 L, AUC = 0.768; left calf volume 2.75 L, AUC = 0.753; mean calf volume 3.06 L, AUC = 0.774; mean calf surface 0.12 m2, AUC = 0.747). The calf volume and surface values have significant relationship with low SMI, and the mean calf volume was the most significant cut-off screening value for Low SMI. The 3D scanner demonstrated its value as a new means for screening sarcopenia.

Face anthropometry for filtering facepiece respirators: analysis of the association between facial dimensions and respirator fit.

Ensuring proper respirator fit for individuals remains a persistent challenge in occupational environments, yet there is limited knowledge about how respirators interact with the face to "'fit." Previous studies have attempted to understand the association between face dimensions and respirator fit using traditional head/face anthropometry not specifically tailored for respirators. The purpose of this study was to assess and compare the ability of filtering facepiece respirator (FFR)-specific face anthropometry with traditional head/face anthropometry in exploring the relationship between facial dimensions and the fit of FFR. The study utilized 3D face scans and quantitative fit factor scores from 56 participants to investigate the relationship between face anthropometry and FFR fit. Both FFR-specific and traditional anthropometric measurements were obtained through 3D anthropometric software. Intra-correlation of anthropometry was analyzed to evaluate the efficiency and effectiveness of FFR-specific and traditional anthropometry respectively. Principal component analysis (PCA) was conducted to test the usefulness of the PCA method for investigating various facial features. Logistic regression was used to develop fit association models by estimating the relationship between each face measurement set and the binary outcome of the fit test result. The prediction accuracy of the developed regression models was tested. FFR-specific face anthropometry consists of a set of measurements that can inform the detailed facial shape associated with the FFRs more effectively than traditional head/face anthropometry. While PCA may have been effective in reducing the variable dimensions for the relatively large parts of the human body such as upper and lower bodies in previous literature, PCA results of FFR-specific and traditional anthropometry were inconsistent and insufficient to describe face dimensions with complex anatomy in a small-detailed area, suggesting that facial shape should be understood through a variety of approaches including statistical methods. Logistic regression analysis results confirmed that the association models of FFR-specific face anthropometry were significant with higher prediction accuracy and had a better model's goodness of fit than those of traditional head/face anthropometry in 3 conditions inputting all measurements, all PC scores, or top 5 measurements from PCA. The findings showed that the FFR fit association model enables an understanding of the detailed association between face and respirator fit and allows for the development of a system to predict respirator fit success or failure based on facial dimensions. Future research would include testing the validity of the model and FFR-specific measurement set on different respirator types, expanding the population set, and developing an integrated approach using automated and machine learning technologies to inform FFR selection for occupation workers and the general population.

Secondary Bilateral Cleft Rhinoplasty: Achieving an Aesthetic Result.

Secondary rhinoplasty in patients with bilateral cleft lip poses ongoing challenges and requires a reliable method for achieving optimal outcomes. The purpose of this study was to establish a safe and effective method for secondary bilateral cleft rhinoplasty. A consecutive series of 92 skeletally matured patients with bilateral cleft lip and nasal deformity were included. All had undergone secondary open rhinoplasty, performed by a single surgeon with a bilateral reverse-U flap and septal extension graft, between 2013 and 2021. Medical records of these 92 patients were reviewed to assess the clinical course. A 3-dimensional (3D) anthropometric analysis and panel assessment of 32 patients were performed to evaluate the aesthetic improvement, with an age-, sex-, and ethnicity-matched normal control group for comparisons. The methods showed statistically significant improvement in addressing a short columella (columellar height), short nasal bridge (nasal bridge length), de-projected nasal tip (nasal tip projection, nasal dorsum angle), poorly defined nasal tip (nasal tip angle, dome height, and panel assessment), and transversely oriented nostrils (columellar height, alar width, nostril type). Importantly, these improvements were accompanied by a low complication rate of 4%. However, upper lip deficiency over the upper lip angle and labial-columellar angle remained without significant improvement. In this study we described effective secondary rhinoplasty, which was composed of a bilateral reverse-U flap and septal extension graft, with acceptable outcome. The 3D anthropometric analysis and panel assessment clarified that our rhinoplasty procedure could bring the nasal morphology in these patients closer to the normal data.

ANALYSIS OF VIETNAMESE WOMEN'S BODY SHAPE FROM ANTHROPOMETRIC DATA

This study aims to classify and analyze the body shapes of Vietnamese women aged 18 to 50 using 3D anthropometric data. Research data was collected from 480 females across three regions: North, Central, and South. The five body types result from data analysis involving principal component analysis, K-means cluster analysis, numerical discriminant analysis, ANOVA test, and T-test comparison using SPSS software. Group 1, accounting for 15.23 %, represents the “short, thin, small-shouldered” body type with medium hip height and a bust-waist ratio higher than the hip-waist ratio. Group 2, accounting for 18.36 %, can be described as the “tall, slightly fat and large-shoulders” body type, characterized by high stature and hip height, with a bust-waist ratio smaller than the hip-waist ratio. Group 3, accounting for 35.94 %, falls under the category of the "Medium body type", with an average height stature and a fit body, and a bust-waist ratio equal to the waist-to-hip ratio. Group 4, representing 21.88 %, has a low hip height, a bust-waist ratio higher than the hip-waist ratio, and can be called the “short, fat, medium-shoulder” body type. Finally, group 5, which comprises 8.59 %, embodies the “too fat, average height, big shoulders” body type, featuring low hip height, and a bust - waist ratio higher than the hip-waist ratio. The method of body classification in this study is scientifically sound and reliable. The new research results can serve as a reference for the garment industry while contributing to the goal of building a virtual model library within 3D design software.

Smartphone derived anthropometrics: Agreement between a commercially available smartphone application and its parent application intended for use at point-of-care

Smartphone applications can now automate body composition and anthropometric measurements remotely, prompting applications intended for use at point-of-care to provide commercially available smartphone applications intended for personal use. However, the agreement between such anthropometrics remain unclear. A total of 123 apparently healthy participants (F: 69; M: 54; age: 28.1±11.3; BMI: 26.9±5.9) completed consecutive body composition scans using a 3D smartphone application intended for personal use (MeThreeSixty; MTS) and it stationary counterpart intended for use in practice (Mobile Fit Booth; MFB). Agreement between devices were evaluated using root mean square error (RMSE), Bland-Altman analyses, and linear regression for all measurements, and additional equivalence testing was conducted for all circumference and limb length comparisons. When evaluated against the MFB, MTS significantly overestimated all measurements other than waist circumference (p=0.670) using paired t-tests. RMSE was 2.5% for body fat percentage (BF%), 0.64-3.74cm for all body circumferences, 0.71-2.3kg for all lean mass estimates, and 126-659cm2 and 608-4672cm3 across all body surface area and body volume estimates, respectively. BF% was the only body composition estimate that did not demonstrate proportional bias (p=0.221). Circumferences of the chest, shoulder, biceps, forearm, and ankle all demonstrated proportional bias (all coefficients: p<0.050), but only chest, shoulder, and arm circumferences did not demonstrate equivalence. Arm surface area (p<0.001) and arm (p=0.002) and leg volumes (p=0.004) were the only body surface area and volume estimates to reveal proportional biases. These findings demonstrate the agreement between 3D anthropometric applications intended for clinical and personal use, particularly for whole-body composition estimates and clinically meaningful body circumferences. Given the advantages of commercially available remote applications, practitioners and consumers may consider using this method in place of those intended for clinical practice, but should express caution when overestimation is a concern.

Protocol Establishment and Reliability Verification of Three-Dimensional Digital Stereophotogrammetry in Lower Eyelid Anthropometry.

Three-dimensional (3D) stereophotogrammetry has been widely used in anthropometry for both medical and esthetic purposes. However, no studies have assessed its reliability on measuring the lower eyelid by 3D imaging. This study aimed to establish a standardized 3D anthropometric protocol for lower eyelid region and validate its reliability. Fifty-eight participants (116 eyes) were recruited with mean age of 39.14 ± 11.25 years. Two sets of VECTRA 3D images were taken for each subject, and each set of images was individually measured twice by two raters. Twenty-seven landmarks were identified in the lower eyelid region, and then 19 linear, 4 curvilinear, 7 angular and 2 areal metrics were assessed for intrarater, interrater and intramethod reliability. High reliability was found in this 3D imaging-based lower eyelid anthropometry. The mean absolute difference within 2 intrarater measurement were 0.22 and 0.08 units, the technical errors measurement were 0.31 and 0.15 units, the relative errors of measurement were 0.90% and 0.31%, the relative technical errors of measurement were 1.53% and 0.64%, and the intra-group correlation coefficient was 0.99 and 0.99. The results for interrater measurement were 0.53 units, 0.59 units, 2.94%, 3.41% and 0.96, and for intramethod measurement were 0.71 units, 0.77 units, 4.12%, 4.05% and 0.95 units, respectively. 3D stereophotogrammetry is reliable for lower eyelid anthropometry. The standardized protocol can be further applied for many purposes such as lower eyelid aging evaluation, surgical related assessment and periocular rejuvenation plan. 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 .

Three-Dimensional Anthropometry for Evaluating Philtrum Contour in Patients With Unilateral Cleft Lip: Comparison Between Photographic Assessment and 3-Dimensional Anthropometry.

Philtrum reconstruction in patients with unilateral cleft lip is a major concern in cheiloplasty. Moreover, a quantitative evaluation of the philtrum contour has not been possible. Advances in 3-dimensional (3D) imaging technology have enabled highly accurate assessments of facial surfaces. This study aimed to justify using 3D anthropometric measurements to quantify traditional photographic grading systems. Sixty-six children with unilateral cleft lip, aged 4 to 6 years (mean age: 69.1±5.7mo), who visited the outpatient clinic from January to December 2020 were included. A plastic surgeon panel graded the philtrum contour using digital photographs, and 3D anthropometry was performed using a 3D imaging system. The philtrum height, philtrum height difference, and dimple depth were measured at the middle of the philtrum. The philtrum height did not show significant changes across the photographic scores ( P =0.06), whereas noticeable differences were observed in the dimple depths based on photographic scores ( P <0.001). The correlation analysis revealed the highest correlation between the photographic score and dimple depth (rho=0.897, P <0.001). The philtrum height on the cleft side (rho=0.478, P <0.001) also correlated with the photographic score, but the correlation was weaker than that of the dimple depth. The dimple depth and philtrum height can help define the philtrum contour. Furthermore, the dimple depth reflects the philtrum contour better and is more suitable as a single parameter. However, relying on a single philtrum height measurement may be insufficient for reliable evaluations, as the relative height from the surrounding tissues is more important than the absolute height measured using 3D anthropometry.

Revisiting the Cephalic Index: The Origin, Purpose, and Current Applicability—A Narrative Review

ABSTRACT Introduction Cephalometry is the measurement and study of the proportions of the head and face, and infant skull deformities have been the subject of many clinical studies over the last 30 years. Clinical protocols to document change are especially critical during periods of growth and development, but reference values and norms are lacking for infants, especially in the first year after birth. Discussion Key publications were reviewed by the authors to provide a narrative review of the 1) origin of the cephalic index (CI), 2) adaptations of the measure over time, 3) anatomical landmarks and alignments used, 4) clinical tools, 5) necessary considerations for different ethnic, sex, and cultural influences, 6) value and limitations of CI measurements, and 7) appropriate use of the CI in the documentation of infant skull deformities. The CI calculation has remained constant since the 1840s, although the cranial shape classifications have changed many times over the years. Conclusions Used in isolation, the two-dimensional (2D) and linear nature of the CI fails to describe the magnitude of the three-dimensional (3D) head deformity. However, the CI can and should be used in conjunction with other 2D and 3D measurements to provide a more detailed description and understanding of the entire cranial deformity. For today's cranial clinicians and allied health care professionals, the commonly referenced CI chart fails to reflect 1) the natural skull changes noted with supine sleeping infants, and 2) the cultural diversity of the infant population currently treated. Although the CI provides information about one of the most obvious features of the dysmorphology, clinicians must also document and report other distinct features such as frontal flattening or bossing, parietal shape or involvement, sloping, displacement, and/or posterior asymmetry. Clinical Relevance The CI should be used in conjunction with other 2D and 3D anthropometric measurements to provide a more detailed assessment of the entire cranial deformity. The CI results should be discussed with the medical team along with a complete review of other 2D and 3D measurements to determine the best course of action for orthotic treatment or nontreatment of the head shape.

Development and Validation of a Comprehensive Perioral Evaluation Method Using Three-Dimensional Stereophotogrammetry.

The non-invasive three-dimensional (3D) stereophotogrammetry is widely used in anthropometry for medical purpose. Yet, few studies have assessed its reliability on measuring the perioral region. This study aimed to provide a standardized 3D anthropometric protocol for the perioral region. 38 female and 12 male Asians were recruited (mean age 31.6±9.6 years). Two sets of 3D images using the VECTRA 3D imaging system were acquired for each subject, and two measurement sessions for each image were performed independently by two raters. 25 landmarks were identified, and 28 linear, 2 curvilinear, 9 angular and 4 areal measurements were evaluated for intrarater, interrater, and intramethod reliability. Our results showed high reliability of 3D imaging-based perioral anthropometry by mean absolute difference (0.57 and 0.57 unit), technical error measurement (0.51 and 0.55 unit), relative error of measurement (2.18% and 2.44%), relative technical error of measurement (2.02% and 2.34%), and intraclass correlation coefficient (0.98 and 0.98) for intrarater 1 and intrarater 2 reliability; respectively 0.78 unit, 0.74 unit, 3.26%, 3.06% and 0.97 for interrater reliability; and respectively 1.01 unit, 0.97 unit, 4.74%, 4.57% and 0.95 for intramethod reliability. This standardized protocol utilizing 3D surface imaging technologies are feasible and highly reliable in perioral assessment. It could be further applied for diagnostic purpose, surgical planning and therapeutic effect evaluation in clinical practice in relation to perioral morphologies. 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 .

Smartphone prediction of skeletal muscle mass: model development and validation in adults

BackgroundSkeletal muscle is a large and clinically relevant body component that has been difficult and impractical to quantify outside of specialized facilities. Advances in smartphone technology now provide the opportunity to quantify multiple body surface dimensions such as circumferences, lengths, surface areas, and volumes. ObjectivesThis study aimed to test the hypothesis that anthropometric body measurements acquired with a smartphone application can be used to accurately estimate an adult’s level of muscularity. MethodsAppendicular lean mass (ALM) measured by DXA served as the reference for muscularity in a sample of 322 adults. Participants also had digital anthropometric dimensions (circumferences, lengths, and regional and total body surface areas and volumes) quantified with a 20-camera 3D imaging system. Least absolute shrinkage and selection operator (LASSO) regression procedures were used to develop the ALM prediction equations in a portion of the sample, and these models were tested in the remainder of the sample. Then, the accuracy of the prediction models was cross-validated in a second independent sample of 53 adults who underwent ALM estimation by DXA and the same digital anthropometric estimates acquired with a smartphone application. ResultsLASSO models included multiple significant demographic and 3D digital anthropometric predictor variables. Evaluation of the models in the testing sample indicated respective RMSEs in women and men of 1.56 kg and 1.53 kg and R2’s of 0.74 and 0.90, respectively. Cross-validation of the LASSO models in the smartphone application group yielded RMSEs in women and men of 1.78 kg and 1.50 kg and R2’s of 0.79 and 0.95; no significant differences or bias between measured and predicted ALM values were observed. ConclusionsSmartphone image capture capabilities combined with device software applications can now provide accurate renditions of the adult muscularity phenotype outside of specialized laboratory facilities. Am J Clin Nutr 2023;x:xx.This trial was registered at clinicaltrials.gov as NCT03637855 (https://clinicaltrials.gov/ct2/show/NCT03637855), NCT05217524 (https://clinicaltrials.gov/ct2/show/NCT05217524), and NCT03771417 (https://clinicaltrials.gov/ct2/show/NCT03771417).

Morphological Characteristics and Bilateral Differences of Youth U13, U15, U17 and U19 Male Football Players

An anthropometric and body composition analysis was conducted on 123 competitive young male football players of different age groups (U13; U15; U17 & U19) with at least 4 years of training load. 3D anthropometric measurement were performed by the NX-16 ([TC]2, 3D body scanner Cary, North Carolina). Body composition was measured by the bioelectrical impedance with InBody 720 (Biospace Ltd.). Anthropometric and body composition characteristics among different age groups and asymmetries between the left and right side of the upper and lower limbs were analysed for treated age groups. The results showed differences in anthropometric and body composition variables among all age groups in all observed variables (Height, Weight, Basal Metabolic Rate, Skeletal Muscle Mass, Body Fat Mass, Percent Body Fat, Abdominal Obesity Degree, Body Mass Index, Body Fat Mass, Skeletal Lean Mass and Fat Free Mass). The results also showed that young football players of age group U13 differed statistically in four (from 7) paired variables (Arm Lean Mass, Leg Lean Mass, Forearm Girth and Calf Girth), U15 in three variables (Upper Arm Girth, Thigh Girth and Calf Girth), U17 in five variables (Arm Lean Mass, Leg Lean Mass, Upper Arm Girth, Forearm Girth and Calf Girth) and U19 in four observed variables (Arm Lean Mass, Leg Lean Mass, Upper Arm Girth and Calf Girth). All of the age groups differed statistically in calf girth paired variables. Puberty time probably had an impact on the results, and in future research more focus should be placed on puberty characteristics variables.

Ergonomic Design and Assessment of an Improved Handle for a Laparoscopic Dissector Based on 3D Anthropometry.

Laparoscopic surgery (LS) has been shown to provide great benefits to patients compared with open surgery. However, surgeons experience discomfort, low-efficiency, and even musculoskeletal disorders (MSDs) because of the poor ergonomic design of laparoscopic instruments. A methodology for the ergonomic design of laparoscopic dissector handles considering three-dimensional (3D) hand anthropometry and dynamic hand positions was addressed in this research. Two types of hand positions for grasping and stretching were scanned from 21 volunteers using a high-resolution 3D scanner. The 3D anthropometric data were extracted from these 3D hand pose models and used to design an improved handle (IH) that provides additional support for the thumb, a better fit to the purlicue, and a more flexible grasp for the index finger. Thirty subjects were invited to evaluate the IH in terms of muscular effort, goniometric study of motion, and efficiency and effectiveness during four trials of a laparoscopic training task. Questionnaires provided subjective parameters for ergonomic assessment. Positive results included less muscle load in the trapezius as well as significant but small angular differences in the upper limb. No significant reduction in the trial time and no increased percentage of the achievement were observed between the IH and the commercial handle (CH). Improved intuitiveness, comfort, precision, stability, and overall satisfaction were reported. IH provides significant ergonomic advantages in laparoscopic training tasks, demonstrating that the proposed methodology based on 3D anthropometry is a powerful tool for the handle design of laparoscopic dissectors and other surgical instruments.

Body Composition to Define Prognosis of Cancers Treated by Anti-Angiogenic Drugs.

Body composition could help to better define the prognosis of cancers treated with anti-angiogenics. The aim of this study is to evaluate the prognostic value of 3D and 2D anthropometric parameters in patients given anti-angiogenic treatments. 526 patients with different types of cancers were retrospectively included. The software Anthropometer3DNet was used to measure automatically fat body mass (FBM3D), muscle body mass (MBM3D), visceral fat mass (VFM3D) and subcutaneous fat mass (SFM3D) in 3D computed tomography. For comparison, equivalent two-dimensional measurements at the L3 level were also measured. The area under the curve (AUC) of the receiver operator characteristics (ROC) was used to determine the parameters' predictive power and optimal cut-offs. A univariate analysis was performed using Kaplan-Meier on the overall survival (OS). In ROC analysis, all 3D parameters appeared statistically significant: VFM3D (AUC = 0.554, p = 0.02, cutoff = 0.72 kg/m2), SFM3D (AUC = 0.544, p = 0.047, cutoff = 3.05 kg/m2), FBM3D (AUC = 0.550, p = 0.03, cutoff = 4.32 kg/m2) and MBM3D (AUC = 0.565, p = 0.007, cutoff = 5.47 kg/m2), but only one 2D parameter (visceral fat area VFA2D AUC = 0.548, p = 0.034). In log-rank tests, low VFM3D (p = 0.014), low SFM3D (p &lt; 0.0001), low FBM3D (p = 0.00019) and low VFA2D (p = 0.0063) were found as a significant risk factor. automatic and 3D body composition on pre-therapeutic CT is feasible and can improve prognostication in patients treated with anti-angiogenic drugs. Moreover, the 3D measurements appear to be more effective than their 2D counterparts.

Modeling 3D geometric growth patterns and variations of Children's heads

To design high-quality head/face-related products for children, it is essential to be able to construct 3D geometric models of their head growth patterns and variations. However, compared to 3D anthropometric analysis of adults' heads, this is still an underexplored research area. This study developed a framework for modeling the 3D geometric growth patterns and sex-specific variations of children's heads. To analyze these variations, the entire heads of 793 children (395 females and 398 males) ages 5–17 were scanned, and one global and two sex-specific statistical shape models (SSMs) were constructed. The first principal component in these SSMs, contributing more than 65% to the total explained variations, was highly related to overall head sizes. To model growth patterns, expected average heads for different ages and per-vertex growth rates were computed. Our results showed that the entire female head basically reaches its mature size at age 13–14, whereas in males it continues to increase until age 16–17. This study therefore provides valuable references for children's head/face-related product design, including the development of a more accurate sizing system and improvements in product fit and function.

Classification of Body Types of Vietnamese Middle-Aged Men in Ho Chi Minh City

The study aims to classify somatotype of Vietnamese middle-aged male living in Ho Chi Minh City. Thirty-two 3D anthropometric body measurements from 378 men aged from 30 to 60 are comprehensively studied. The results of the study are as follows: Three independent factors were extracted using factor analysis for cluster analysis, then classified into five body types. Group 1, accounting for 16.4%, is "short and proportional" body type with short height stature and normal body proportions but high waist, small thighs and chest, small neck and narrow shoulder. Group 2 can be called “short and fat” body type, accounting for 35.19%, is a low height stature and obesity level I with small thighs and knees, developed neck and shoulder. Group 3, accounting for 25.13%, is "medium height and fat" body type with average height stature and obesity level I, large girths and broad breadths, large neck and square shoulder. Group 4, accounting for 12.96%, is an overweight body group with tall height stature, long leg, narrow back and square shoulder, and it can be called "tall and proportional” body type. Finally, group 5 which accounting for 10.32%, is "tall and proportional” body type which characterized as obesity level I, tall stature, long leg, broad back and slope shoulder. This study contributes to the study of body type and anthropometric data in building avatar for digital fashion design software, at the same time contributing to the research and development of the size system for Vietnamese middle-aged male.

Age and sex factors integrated 3D statistical models of adults' heads

3D parametric head models and 3D anthropometric analyses are essential in designing head-related products. Existing 3D parametric head modeling only analyzes sex-based dimension and shape variances but ignores age-related effects. Thus, we developed detailed 3D statistical models of adults' heads based on 1496 3D head scans of Chinese individuals aged 18 to 84, including a global model and four subclass models. An age threshold identification method has been presented to cluster the 3D heads into four groups based on their anthropometric features. The total explained variance of the first five principal components (PCs) in all head models was more than 76%. The relationships between the PCs, the head areas, and the specific dimensions of head regions have also been identified in this study. These models can be reliably used for fit assessment, mass customization, and virtual fittings for head-related products.