Facial Soft Tissue Thickness Research Articles

Anthropological and forensic significance of facial soft tissue thickness in Montenegrin population

A lack of soft tissue leads to difficulties in facial reconstruction and further identification in the absence of DNA (deoxyribonucleic acid), finger print and dental data. If these data are not available, then identification based on facial soft tissue thickness (FSTT) is the next reliable method. There is no data in the literature about facial soft tissue thickness in Montenegrin population. Once the measurement is performed, a software algorithm based on the multidetector computerized tomography (MDCT) imaged bone structures and use of FSTT would be able to provide a useful picture of the face for identification purposes. This prospective research was performed by MDCT head examinations of 83 adults aged 18–85, living in Montenegro. The FSTT was measured at eight central points (glabella (GL), nasion (NA), rhinion (RHI), mid-philtrum (MID), upper lip (UL), lower lip (LL), mental eminence (ME), and the point beneath the chin (BC)), and five bilateral points (frontal tubers (FT), supraorbital (SO), external orbital marginal point (EX), zygomatic arch (ZY), and middle masseter (MST)). It was observed that the points RHI, MID, UL, LL, ME, FT, SO and MST are thicker in men compared to women. With an increase in BMI, FSTT in the central points also increases, as well as bilaterally at the ZY, FT, SO and MST points. With aging, there is an increase of the thickness of the FSTT at the RHI and bilaterally at the EX and ZY, while at the MID, LL and MST, the thickness decreases with aging, in both sexes.

Three-dimensional prediction of the nose for facial reconstruction: A preliminary study on North Indian adults

Forensic facial reconstruction is the last recourse to establish the identity of an unknown skull. The facial soft-tissue thickness (FSTT) is required to reconstruct various facial features on a skull. Unlike other facial features, the nose is made of cartilaginous tissue except for a small nasal bone. A large cavity (pyriform aperture) exists on the skull in place of the nose, which makes it a challenging job for reconstruction. The nose is a vital feature for the recognition of a face. Any change in the shape or size of the nose can alter the original aesthetic of the face. The present study proposes angles and regression functions on the bony structure to predict the various parts of the soft nose. A sample of computed tomography (CT) images of 100 males and 100 females aged between 18 and 45 years were included in the study. Apart from measuring fourteen linear parameters with three angles, simple linear regression models were derived for five pairs of parameters. Pearson's correlation coefficients for most of the parameters ranging between 0.221 and 0.872 were found to be significant at p ≤ 0.05 level. FSTT at three anatomical landmarks of the nose was also measured. A morphological observation study was undertaken to find the most frequent direction of the bony anterior nasal spine (ans) and its relation with the position of the pronasale (prn) on the soft nose. The devised parameters proposed in the study may also prove useful for reconstructing the nose in other populations.

3D facial reconstruction and 3D printing of women skull from Bronze age, Slovakia

Facial reconstruction of individuals from historical periods can provide more information about them. The main aim of this study was to create an anthropological facial reconstruction of a Bronze Age skull based on a new soft tissue thickness database created from a sample of the Slovak female population. Using ultrasound, we evaluated 27 facial landmarks on 50 Slovak women, aged 18–30 years with Slovak genealogical history. The Bronze Age skull was anthropologically estimated as a Caucasoid female aged 24–30 years at the time of death. The ultrasound results were analysed and compared with nine European populations. Statistical analysis showed that there is no statistical difference between these populations in the values of facial soft tissue thicknesses. Using CT and Blender software with add-ons, we created a facial approximation of the skull. We 3D printed the virtual model, which can be used for educational and scientific purposes.

Cephalometric Differences In Male And Female Characteristics of Facial Soft Tissue Thickness In Various Orthodontic Malocclusions

Objective: To compare the mean facial soft tissue thickness between males and females in different malocclusion groups. Study Design: Cross-Sectional Study. Place and Duration of Study: Armed Forces Institute of Dentistry, Rawalpindi Pakistan, from Jan 2020 to Jan 2021. Methodology: Cephalometric radiographs of 230 patients were used to measure soft tissue thickness at seven landmarks: the glabella, subnasal region, labrale superius, labrale inferius, sulcus labrale superius, labiomentalis, and soft tissue chin. Results: Of 230 patients, 39% were of Class I, 21% of Class II/1, 26% of Class II/2 and 13% of Class III. The gender ratio was the same in all skeletal classes. The mean age of 230 patients was 18.36±2.29 years. The mean ANB angle and UI were 4.02±3.22 and 25.95±8.86. The mean ANB angle and UI significantly differed between skeletal classes. In contrast, the mean age of patients of different skeletal classes was not significantly different, with a p-value of 0.433. The mean FSTT measured from subnasal area (A-NS), sulcus labrale superius (RR-SLS), labrale superius (J-LS), labrale inferius (I-Li) and chin (Pg-Pg1) was significantly different between skeletal classes (p value <0.001). Conclusion: The facial soft tissue thickness was thicker in class III. The FST measured through the labrale superius (J-LS) of male patients was thicker than that of female patients in all skeletal class patients.

Facial soft-tissue thickness in children: A study of a CTBC Brazilian sample

As an auxiliary method in the process of human identification, forensic facial approximation (FFA) is an important tool for identifying unknown human bodies whose remains do not present the necessary traceability to any antemortem data collection. Specific characteristics are necessary when addressing children aged between 6 and 10 years, who have little sexual differentiation and a mixed dentition. Due to the chronology of eruption of the permanent second molars in this population, it is not possible to measure facial soft-tissue thickness (FSTT) from specific landmarks such as supra and infra M2. The objective of this research was to report the method for measuring the average FSTT of 32 landmarks adapting the method for adults replacing the landmarks at the upper and lower second molars (Supra M2 and Infra M2) in children up to 10 years of age for a measurement using the deciduous second molars as reference. We found statistical differences for some points, considering the variables of age and sex, but with a maximum difference of 2 mm, which allows the use of a single FSTT table. The deciduous teeth can replace the reference of the thicknesses at the supra and infra M2 landmarks. In addition to the new FSTT data for children in Brazil, we concluded that the proposed adaptation to the deciduous M2 points can be applied to obtain soft-tissue data for 32 facial points.

Global facial soft tissue thicknesses for craniofacial identification (2023): a review of 140years of data since Welcker's first study.

This year (2023) marks 140years since the first publication of a facial soft tissue thickness (FSTT) study. Since 1883, a total of 139 studies have been published, collectively tallying > 220,000 tissue thickness measurements of > 19,500 adults. In just the last 5-years, 33 FSTT studies have been conducted. Herein, we add these data (plus an additional 20 studies) to the 2018T-Table to provide an update of > 81,000 new datapoints to the global tallied facial soft tissue depths table. In contrast to the original 2008T-Table, some notable changes are as follows: increased FSTTs by 3mm at infra second molar (ecm2-iM2'), 2.5mm at gonion (go-go'), 2mm at mid-ramus (mr-mr'), and 1.5mm at zygion (zy-zy'). Rolling grand means indicate that stable values have been attained for all nine median FSTT landmarks, while six out of nine bilateral landmarks continue to show ongoing fluctuations, indicating further data collection at these landmarks holds value. When used as point estimators for individuals with known values across 24 landmarks (i.e., C-Table data), the updated grand means produce slightly less estimation error than the 2018T-Table means (3.5mm versus 3.6mm, respectively). Future efforts to produce less noisy datasets (i.e., reduce measurement and sampling errors as much as possible between studies) would be useful.

Facial Soft Tissue Characteristics Among Sagittal and Vertical Skeletal Patterns: A Cone-Beam Computed Tomography Study.

Background Facial esthetics depend on the skeletal and dental structures underlying variable facial soft tissue thickness. In this social context, determining the relationship between external soft tissue and underlying skeletal and dental hard tissue is essential for detailed orthodontic diagnosis and treatment planning. Objective This study aims to measure facial soft tissue thickness in different sagittal and vertical skeletal patterns. Methodology This is an observational study utilizing pre-existing cone-beam computed tomography (CBCT) images of 170 subjects (110 females and 60 males) with a mean age group of 37.45 ± 13.83 years. CBCT images were then classified sagittally based on the point A-Nasion-point B (ANB) angle from Steiner's analysis into skeletal Class I, Class II, and Class III. Furthermore, vertical patterns were grouped based on the Frankfort-mandibular plane angle (FMA) from Tweed's analysis into hyperdivergent, hypodivergent, and normodivergent facial types. One-way ANOVA was used to compare the means of facial soft tissue thickness between the skeletal groups, followed by Tukey's post-hoc test for individual comparison. Multinomial logistic regression analysis was used to test the association between gender, age, and skeletal groups. The significance level was 0.05. Results One-way ANOVA revealed statistically significant differences in both sagittal and vertical groups (p≤0.05).Tukey's post hoc analysis showed that the skeletal Class III group has increased soft tissue thickness in the subnasale, upper lip, and mention compared to Class I and Class II subjects. Moreover, the hypodivergent group demonstrated increased soft tissue thickness in gnathion and mentioned landmarks in relation to the other groups. Multinomial logistic regression analysis showed significant differences between groups according to both gender and sagittal skeleton patterns (p≤0.05), with males less likely to be in Class II. Conclusions Skeletal Class III and hypodivergent groups have thicker soft tissue in specific facial landmarks. Sexual dimorphism was marked in soft tissue measurements.

Age and sex dependent differences in midline facial soft tissue thicknesses measured on MRI scans of Northwest Indian subjects: a forensic anthropological study

BackgroundHuman face is complex and intricate structure, with several features that are unique to each individual and can be taken as an identity pass in this mortal world. The facial profile of an individual holds materialistic value and is crucial for human identification. Present study aims to investigate the influence of sex and age of an individual on the soft tissue thicknesses (FSTT) at midline facial landmarks estimated on MRI scans.MethodsFacial soft tissue thickness was estimated at 20 midline landmarks on the MRI scans of 120 (57 male; 63 female) anatomically normal Northwest Indian adult subjects (18–70 + years age-group). Age and sex dependent variations in tissue thicknesses at different landmarks were estimated using statistical software IBM SPSS Statistics 23.ResultsThe results of the study yielded that most of the midline landmarks had higher values in males than in females indicating observable sexual dimorphism in FSTT values in this facial region, statistically significant differences were also noted in soft tissue thickness estimates of different age-groups, showing increasing or decreasing trend with age. The mid-facial landmarks like mid-philtrum, supra-dentale, incisor superius, and labile inferius displayed highly significant p values.ConclusionsPresent study results were in tandem with the findings of previous studies; males and younger age-group individuals were having higher tissue thickness values than the females and older individuals, respectively. The highest soft tissue estimates were obtained for the middle age subjects and the most aged individuals had the least midline soft tissue thickness values. These results can have significant forensic anthropological repercussions in attempting facial approximations on unknown skulls and identification of unknown individuals from still images, photographs or videos.

Do facial soft tissue thicknesses change after surgeries correcting dental malocclusions? An intra- and inter-patient statistical analysis on soft-tissue thicknesses in BSSO + LFI surgeries.

The aim of this study was to analyse changes in facial soft tissue thickness (FSTT) after corrective surgeries for dental malocclusion. The correlation between body mass index (BMI) and sex of patients and their FSTT before undergoing surgery was analysed. Cone beam computed tomography of seventeen patients that underwent Le Fort I osteotomy in combination with bilateral sagittal split osteotomy were collected. Hard and soft tissue landmarks were selected basing on the interventions. FSTT were computed, and measurements from pre- to post-operative were compared. The relationship between FSTT, sex, and BMI was investigated. Considering the comparison between pre- and post-operative measurements, any significant difference emerged (p > .05). The Pearson's correlation coefficient computed between BMI and the FSTT (pre-operative) showed a correlation in normal-weight patients; the region-specific analysis highlighted a stronger correlation for specific landmarks. Higher median values emerged for women than for men; the subset-based analysis showed that women presented higher values in the malar region, while men presented higher values in the nasal region. The considered surgeries did not affect the FSTT of the patients; differences related to BMI and sex were found. A collection of FSTT mean values was provided for twenty landmarks of pre- and post-operative of female and male subjects. This exploratory analysis gave insights on the behaviour of STT after maxillofacial surgeries that can be applied in the development of predictive methodologies for soft tissue displacements and to study modifications in the facial aspect of the patients.

A computerized facial approximation method for Homo sapiens based on facial soft tissue thickness depths and geometric morphometrics.

Facial approximation (FA) provides a promising means of generating the possible facial appearance of a deceased person. It facilitates exploration of the evolutionary forces driving anatomical changes in ancestral humans and can capture public attention. Despite the recent progress made toward improving the performance of FA methods, a limited understanding of detailed quantitative craniofacial relationships between facial bone and soft tissue morphology may hinder their accuracy, and hence subjective experience and artistic interpretation are required. In this study, we explored craniofacial relationships among human populations based upon average facial soft tissue thickness depths (FSTDs) and covariations between hard and soft tissues of the nose and mouth using geometric morphometrics. Furthermore, we proposed a computerized method to assign the learned craniofacial relationships to generate a probable facial appearance of Homo sapiens, reducing human intervention. A smaller resemblance comparison (an average Procrustes distance was 0.0258 and an average Euclidean distance was 1.79 mm) between approximated and actual faces and a greater recognition rate (91.67%) tested by a face pool indicated that average dense FSTDs contributed to raising the accuracy of approximated faces. Results of partial least squares (PLS) analysis showed that nasal and oral hard tissues have an effect on their soft tissues separately. However, relatively weaker RV correlations (<0.4) and greater approximation errors suggested that we need to be cautious about the accuracy of the approximated nose and mouth soft tissue shapes from bony structures. Overall, the proposed method can facilitate investigations of craniofacial relationships and potentially improve the reliability of the approximated faces for use in numerous applications in forensic science, archaeology, and anthropology.

The relationship between biological parameters and facial soft tissue thickness measured by ultrasound and its forensic implications.

Facial soft tissue thickness (FSTT) data are currently widely used in forensic and medical science. In the forensic sciences, they form the basis for craniofacial reconstruction and identification methods. Since there are few FSTT data in the Slovak population, this study aims to enrich the data in well-defined age categories, taking into account differences between sexes and body mass index (BMI). The sample consisted of 127 participants aged 17 to 86 years from Slovakia. In addition to biological sex and age information, stature and body weight were recorded to calculate BMI. Subsequently, 17 facial anthropometric landmarks were used to measure FSTT using a noninvasive General Electric LOGIQe R7 ultrasound device. The mean values of FSTT were greater in the mouth region in males and in the zygomatic and eye regions in females. Differences between males and females, regardless of sex and BMI, were significant only at two landmarks. When BMI and age were taken into account, there were differences in 12 of 17 landmarks. Linear regression results showed the strongest correlation of most landmarks with BMI, followed by age and sex. When the FSTT was estimated in association with sex/age/BMI, landmarks in the zygomatic, mandibular, and frontal regions were the best regressors. The results of the present study demonstrate that B-mode ultrasound measurements of FSTT can be used in facial reconstruction as a function of BMI, age, and sex of the subject. Furthermore, the present regression equations can help practitioners in the forensic/medical field to calculate individual tissue thickness.

Facial Soft Tissue Thickness Values for Romanian Adult Population

Introduction: Forensic identification practice requires a multitude of methods for positive identification, among which the facial reconstruction occupies a high place. For this to be done in the best way possible, it is mandatory that each population have their own database regarding soft tissue thickness. Objective: The present research is focused on creating such a database for the Romanian adult population and on exploring the statistical distribution and correlation of craniometric landmarks, overall, and in groups defined according to sex and weight categories. This might provide support in estimating the values of missing landmarks or other variables (e.g., age, sex) for unidentified bodies. Methods: Twelve craniometric landmarks were measured on 100 cadavers less than 24 h after death. Results and discussions: Of the 12 anatomical landmarks, only one appears to manifest statistically significant differences between sexes, and seven landmarks appear to vary significantly among the weight categories. Additionally, some evidence of interpopulation differences in the average soft tissue thicknesses were observed by the comparison of these data with similar studies from Caucasian groups with different geographic origin. Additionally, correlations between facial landmarks were examined, overall and between sexes.

Structural equation modelling to estimate facial soft tissue thickness parameters based on ethnicity, gender and body mass index: a secondary study on an Iranian dataset.

According to theanthropological importance of soft facial tissue thickness parameters, we aimed to find the association of these parameters with Lur and Arab ethnicities, gender and body mass index (BMI). Structural equation modeling (SEM) was used. As a secondary analysis, SEM was performed on a dataset of 100 participants. The participants were from Lur and Arab populations of Ahvaz province, Iran, from those who referred for magnetic resonance imaging (MRI) due to headache. Multivariate regression illustrated that mental eminence (ME), chain-lip fold (CLF) and end of nasals (END) could not be predicted by the independent variables (p > 0.05). Right masseteric region (RMST) had the maximum predictability with R2 = 0.365, followed by middle philtrum (MID) with R2 = 0.358 (p < 0.001). With respect to our criterion to enter SEM, i.e. existing at least two significant covariates at significance level of 0.05, among staying parameters, only parameters of nasion (NA), MID, superior lip (SL), RMST and left masseteric region (LMST) remained. Among these cases, MID was the only parameter that its three covariates illustrated significant association. MID parameter can be predicted by gender, BMI and Arab ethnicity. By carrying out such studies and creating database, such information can be used in plastic surgery, corpse identification, and facial reconstructionsoftware in archeology.

Association of Body Mass Index (BMI) with Lip Morphology Characteristics: A Cross-Sectional Study Based on Chinese Population

Lip morphology is essential in diagnosis and treatment of orthodontics and orthognathic surgery to ensure facial aesthetics. Body mass index (BMI) has proved to have influence on facial soft tissue thickness, but its relationship with lip morphology is unclear. This study aimed to evaluate the association between BMI and lip morphology characteristics (LMCs) and thus provide information for personalized treatment. A cross-sectional study consisted of 1185 patients from 1 January 2010 to 31 December 2020 was conducted. Confounders of demography, dental features, skeletal parameters and LMCs were adjusted by multivariable linear regression to identify the association between BMI and LMCs. Group differences were evaluated with two-samples t-test and one-way ANOVA test. Mediation analysis was used for indirect effects assessment. After adjusting for confounders, BMI is independently associated with upper lip length (0.039, [0.002-0.075]), soft pogonion thickness (0.120, [0.073-0.168]), inferior sulcus depth (0.040, [0.018-0.063]), lower lip length (0.208, [0.139-0.276]), and curve fitting revealed non-linearity to BMI in obese patients. Mediation analysis found BMI was associated with superior sulcus depth and basic upper lip thickness through upper lip length. BMI is positively associated with LMCs, except for nasolabial angle as negatively, while obese patients reverse or weaken these associations.

Xenogeneic collagen matrix versus connective tissue graft for soft tissue augmentation at immediately placed implants: a prospective clinical trial

The advantages of immediate implant placement for patients include a reduced number of surgical procedures and a shorter overall treatment time. Disadvantages include a higher risk of aesthetic complications. The aim of this study was to compare xenogeneic collagen matrix (XCM) versus a subepithelial connective tissue graft (SCTG) used for soft tissue augmentation in combination with immediate implant placement without provisionalization. Forty-eight patients requiring a single implant-supported rehabilitation were selected and assigned to one of two surgical procedures: immediate implant with SCTG (SCTG group) or immediate implant with XCM (XCM group). Marginal changes in the peri-implant soft tissue and the facial soft tissue thickness (FSTT) were assessed after 12 months. Secondary outcomes included peri-implant health status, aesthetics, patient satisfaction, and perceived pain. All of the implants placed were successfully osseointegrated, resulting in 1-year survival and success rates of 100%. The patients in the SCTG group had a significantly lower mid-buccal marginal level (MBML) recession (P = 0.021) and a greater increase in FSTT (P < 0.001) than the patients in the XCM group. Using xenogeneic collagen matrix during immediate implant placement significantly increased FSTT from the baseline, leading to good aesthetic and patient satisfaction results. However, the connective tissue graft yielded better MBML and FSTT results.

Facial soft tissue thickness measurement method and relationship with BMI, age and sex

IntroductionFacial aesthetics results from the harmony of various components of the craniofacial region, a structure whose physiognomy and topography are determined by a set of hard and soft tissues. Few works in the literature have investigated the relationship between the variables of sex, age, BMI and soft tissue thickness and have considered how these variables may influence operative outcomes. The purpose of this study is to increase the pre-operative knowledge of the thickness of the soft tissues of the face through an analysis of their measurement conducted on cone beam computed tomography (CBCT) and to investigate the impact that the variables of gender, age and BMI have on their determination. Materials and methodsFor this study 82 patients were recruited between January 2020 and January 2021 in the Department of Maxillofacial Surgery of the University of Naples “Federico II”. A descriptive analysis of the sample was carried out on the selected sample, calculating averages and standard deviations for the individual variables analyzed. ResultsBMI has a predominant role on some craniometric points while age and sex have a more marginal role. Our analysis shows that some points are affected by only one variable, BMI (G’ N’ PR’ ID’ SM’ GN’ PG’ MIO’ ACP’ GO’ ZY’ SC’ IC’ ECMS’ and MMB’); some points are affected by both BMI and gender (MP’ and MR’); while only two (RHI’ and MSO’) are influenced by all the three variables. ConclusionA priori knowledge through CBCT of the thickness of the soft tissues of the face and a comparison with the data we propose could provide the surgeon with advance notice of the characteristics of the tissues which she/he will encounter.

Facial Soft Tissue Thickness Differences among Three Skeletal Classes in Korean Population Using CBCT.

Studies related to facial soft tissue thickness (FSTT) have been conducted since the late 19th century. Soft tissue is any tissue in the body that is not hardened by ossification or calcification processes, such as bones and teeth; and varies according to sex, age, race, and nutritional status. Forensically, soft tissue thickness plays an important role in cases where a cadaver has no unique characteristics; and the remains cannot be identified through DNA analysis, fingerprints, or examination of dental records. Therefore, the results of the current study suggest that the average thickness of the three skeletal classes (i.e., straight, concave, and convex) should be used for face restoration and forensic art research. It is thought that the current study's results will be invaluable in the fields of forensic science, forensic art, anthropology, and dentistry. As a result, gender differences were observed in all classes, and the facial tissue thickness in Korean adults differed according to gender and occlusion type.

Effect of periodontal phenotype characteristics on post-extraction dimensional changes of the alveolar ridge: A prospective case series.

This study was primarily aimed at assessing the effect that specific periodontal phenotypical characteristics have on alveolar ridge remodelling after tooth extraction. Patients in need of extraction of a non-molar maxillary tooth were enrolled. Baseline phenotypical characteristics (i.e., mid-facial and mid-palatal soft tissue and bone thickness, and supracrestal soft tissue height [STH]) were recorded upon extraction. A set of clinical, digital imaging (linear and volumetric), and patient-reported outcomes were assessed over a 14-week healing period. A total of 78 subjects were screened. Forty-two subjects completed the study. Linear and volumetric bone changes, as well as vertical linear soft tissue and alveolar ridge volume (soft tissue contour) variations, were indicative of a marked dimensional reduction of the alveolar ridge over time. Horizontal facial and palatal soft tissue thickness gain was observed. Thin facial bone (≤1 mm) upon extraction, compared with thick facial bone (>1 mm), was associated with greater linear horizontal (-4.57 ± 2.31 mm vs. -2.17 ± 1.65 mm, p=.003) and vertical mid-facial (-0.95 ± 0.67 mm vs. -4.08 ± 3.52 mm, p < 0.001) and mid-palatal (-2.03 ± 2.08 mm vs. -1.12 ± 0.99 mm, p=0.027) bone loss, as well as greater total (-34% ± 10% vs. 15% ± 6%, p < 0.001), facial (-51% ± 19% vs. 28% ± 18%, p=0.040), and palatal bone volume reduction (-26% ± 14% vs. -8% ± 10%, p < 0.001). Aside from alveolar bone thickness, STH was also found to be a predictor of alveolar ridge resorption since this variable was directly correlated with bone volume reduction. Patient-reported discomfort scores progressively decreased over time, and the mean satisfaction upon study completion was 94.5 ± 0.83 out of 100. Alveolar ridge remodelling is a physiological phenomenon that occurs after tooth extraction. Post-extraction alveolar ridge atrophy is more marked on the facio-coronal aspect. These dimensional changes are more pronounced in sites exhibiting a thin facial bone phenotype (Clinicaltrials.gov NCT02668289).

Variability and Specificity Regarding the Facial Soft Tissue Thickness According with Age and Gender for Romanian Adults

Variability and Specificity Regarding the Facial Soft Tissue Thickness According with Age and Gender for Romanian Adults

Cephalometric landmark standards and recent trends in craniofacial identification (2018-22): Avoiding imposters by describing variant landmarks as supplemental

• Cephalometric landmarks are used to define facial soft tissue thicknesses (FSTTs) • Standardised landmarks maximise data value, e.g., enabling inter-study comparisons • Recent FSTT papers (last 5 years) often deviate from standardised landmark sets • Some FSTT papers label non-standard landmarks as standard, which is problematic • Novel landmarks add value, but should be clearly identified as novel/supplementary To review the recent facial soft tissue thickness literature (2018- 22 ) to determine if authors are currently adhering to standardised cephalometric landmarks and nomenclature, thereby supporting best scientific practices. Facial soft tissue thickness (FSTT) studies published between 2018 – 2022 were identified using Google Scholar with the search phrase: facial AND soft tissue AND thickness AND craniofacial AND identification AND/OR forensic. Twenty-three resulting papers were reviewed for their landmark content. Across the 23 studies, a mean of 12 common landmarks were measured from a max. set of 36 (mean = 19). Twenty of 23 papers used at least one non-standardised or novel landmark. This included studies that awarded standard landmark names, but whose definition(s) diverged from standards. Other novelties included non-standard use of landmark abbreviations (e.g., description of only one landmark for what is in fact cephalometric pairs of landmarks), confusion of proximally located landmarks with one another, departure from pre-existing technical terminology to imprecise lay vocabulary, and entirely new landmark formulations. Despite prior calls to the importance of standardisation in FSTT research, recent literature continues to exhibit broad departures from established standards. While novel landmarks provide highly valuable information, in any study, they should supplement a minimum set of standard landmarks so that cross-comparisons between studies using identically collected measurements are possible. Future FSTT research should award greater attention to including and meeting established FSTT cephalometric standards.