Application of retaining the vessels around the orbicularis oculi muscle in blepharoplasty

OBJECTIVE

To investigate the effect of retaining the vessels around the orbicularis oculi muscle on reducing local swelling after blepharoplasty.

METHODS

A total of 309 patients undergoing blepharoplasty (total incision) were observed and randomly assigned to three groups; (A) conventional operation; (B) preservation of deep vessels; (C) preservation of anterior vessels of orbicularis oculi muscle. The groups were compared based on intraoperative blood loss, operation time, swelling, satisfaction, and complications.

RESULTS

Among the 309 patients, 39 were lost to follow-up. c Additionally, A had the shortest operation time, followed by C with slightly longer duration. On the 7th day, 15th day, and 1 month after surgery, both B and C demonstrated significantly lower levels of swelling compared to A. Moreover, patient satisfaction was higher in B and C than in A.

CONCLUSION

Retaining either superficial or deep veins of the orbicularis oculi muscle can effectively reduce short-term postoperative swelling. However, when retaining the superficial central group of this muscle during surgery, it is crucial to strictly control the amount of surrounding tissue around vessels.

A multi-organ map of the human immune system across age, sex and ethnicity

Understanding tissue biology's heterogeneity is crucial for advancing precision medicine. Despite the centrality of the immune system in tissue homeostasis, a detailed and comprehensive map of immune cell distribution and interactions across human tissues and demographics remains elusive. To fill this gap, we harmonised data from 12,981 single-cell RNA sequencing samples and curated 29 million cells from 45 anatomical sites to create a comprehensive compositional and transcriptional healthy map of the healthy immune system. We used this resource and a novel multilevel modelling approach to track immune ageing and test differences across sex and ethnicity. We uncovered conserved and tissue-specific immune-ageing programs, resolved sex-dependent differential ageing and identified ethnic diversity in clinically critical immune checkpoints. This study provides a quantitative baseline of the immune system, facilitating advances in precision medicine. By sharing our immune map, we hope to catalyse further breakthroughs in cancer, infectious disease, immunology and precision medicine.

Single-pill combination for treatment of hypertension: Just a matter of practicality or is there a real clinical benefit?

Elevated blood pressure (BP) is the largest contributor to the incident cardiovascular disease worldwide. Despite explicit guideline recommendations for the diagnosis and management of hypertension, a large proportion of patients remain undiagnosed, untreated, or treated but uncontrolled. Inadequate BP control is associated with many complex factors including patient preference, physician's inertia, health systems disparities, and poor adherence to prescribed antihypertensive drug treatment. The primary driver for reduced cardiovascular morbidity and mortality is lowering of BP ''per se'' and not class effects of specific pharmacotherapies. The recent ESH guidelines recommend the use of four major classes of drugs including renin-angiotensin-aldosterone system (RAS) blockers (angiotensin receptor blockers (ARB) or angiotensin-converting enzyme inhibitors (ACEi)), calcium channel blockers (CCB), thiazide and thiazide-like diuretics, and betablockers. Initiation of treatment for hypertension with a two-drug regimen, preferably in a single pill combination (SPC), is recommended for most patients. Preferred combinations should comprise a RAS blocker (either an ACEi or an ARB) with a CCB or thiazide/thiazide-like diuretic. These strategies are supported by robust evidence that combination therapy produces greater BP reductions than monotherapy, reduces side effects of the individual components, improves therapeutic adherence and long-term persistence on treatment, and permits achievement of earlier BP control.

Correction: Immunoassay-aptasensor for the determination of tumor-derived exosomes based on the combination of magnetic nanoparticles and hybridization chain reaction

[This corrects the article DOI: 10.1039/D0RA10159A.].

nnU-Net-Based Pancreas Segmentation and Volume Measurement on CT Imaging in Patients with Pancreatic Cancer

RATIONALE AND OBJECTIVES

To develop and validate a deep learning (DL)-based method for pancreas segmentation on CT and automatic measurement of pancreatic volume in pancreatic cancer.

MATERIALS AND METHODS

This retrospective study used 3D nnU-net architecture for fully automated pancreatic segmentation in patients with pancreatic cancer. The study used 851 portal venous phase CT images (499 pancreatic cancer and 352 normal pancreas). This dataset was divided into training (n = 506), internal validation (n = 126), and external test set (n = 219). For the external test set, the pancreas was manually segmented by two abdominal radiologists (R1 and R2) to obtain the ground truth. In addition, the consensus segmentation was obtained using Simultaneous Truth and Performance Level Estimation (STAPLE) algorithm. Segmentation performance was assessed using the Dice similarity coefficient (DSC). Next, the pancreatic volumes determined by automatic segmentation were compared to those determined by manual segmentation by two radiologists.

RESULTS

The DL-based model for pancreatic segmentation showed a mean DSC of 0.764 in the internal validation dataset and DSC of 0.807, 0.805, and 0.803 using R1, R2, and STAPLE as references in the external test dataset. The pancreas parenchymal volume measured by automatic and manual segmentations were similar (DL-based model: 65.5 ± 19.3 cm3 and STAPLE: 65.1 ± 21.4 cm3; p = 0.486). The pancreatic parenchymal volume difference between the DL-based model predictions and the manual segmentation by STAPLE was 0.5 cm3, with correlation coefficients of 0.88.

CONCLUSION

The DL-based model efficiently generates automatic segmentation of the pancreas and measures the pancreatic volume in patients with pancreatic cancer.

Using the depth deviation based on three-dimensional images to evaluate the correction of nasolabial folds: A prospective and quantitative analysis

BACKGROUND AND OBJECTIVE

The deepening of the nasolabial fold (NLF) is a common occurrence during the aging process, necessitating the development of an objective method to evaluate changes in NLFs. The objective of our study was to introduce a method of depth deviation based on three-dimensional (3D) image for evaluating the efficacy of hyaluronic acid (HA) injection in correcting NLFs.

METHODS

Between May 2019 and November 2019, we recruited 56 Chinese volunteers with moderate to severe NLFs for this study. The participants received HA injections and were followed up for a period of 12 months. Pre and posttreatment, we collected the Wrinkle Severity Rating Scale (WSRS) scores and 3D images. To assess the efficacy of NLF correction, we used the maximum value of depth deviation (MVD) based on 3D images and the Global Aesthetic Improvement Scale (GAIS) score. Additionally, we compared the relationship between MVD and other clinical parameters.

RESULTS

Fifty-four female participants completed the study and were included in the analysis. The HA injection resulted in a significant decrease in NLF severity (p < 0.05). One month after the injection, the average GAIS score was 4.72 ± 0.45, and the average MVD was 2.10 ± 0.56 mm. Both the GAIS score and the average MVD exhibited a decline over time during the follow-up period, with the average MVD showing a significant correlation with the GAIS score at all time points (p < 0.05).

CONCLUSIONS

Using 3D technology, we demonstrated that the quantitative data provided by MVD can serve as an objective method for evaluating the correction of NLFs.

Association between SPRY1 and TET3 in skin photoaging and natural aging mechanisms

BACKGROUND

SPRY1 is associated with the invasiveness and prognosis of various tumors, and TET3 affects aging by regulating gene expression.

AIMS

We investigated the roles of SPRY1 and TET3 in natural skin aging, replicative aging, and photoaging, along with the effect of UVA on genome-wide DNA methylation in HaCaT cells.

METHODS

TET3 and SPRY1 expression were measured in the skin of patients of different age groups, as well as in vitro human skin, HaCaT cell replicative senescence, and HaCaT and HaCaT-siTET3 cell photoaging models. Senescence was verified using β-galactosidase staining, and DNA damage was detected using immunofluorescence staining for γ-H2A.X. 5-Methyl cytosine (5-mC) content in the genome was determined using ELISA.

RESULTS

SPRY1 expression increased with age, whereas TET3 expression decreased. Similarly, SPRY1 was upregulated and TET3 was downregulated with increasing cell passages. TET3-siRNA upregulated SPRY1 expression in HaCaT cells. UVA irradiation promoted HaCaT cell senescence and induced cellular DNA damage. SPRY1 was upregulated and TET3 was downregulated upon UVA irradiation. Genome-wide 5-mC content increased upon TET3 silencing and UVA irradiation, indicating a surge in overall methylation.

CONCLUSIONS

SPRY1 and TET3 are natural skin aging-related genes that counteract to regulate replicative aging and UVA-induced photoaging in HaCaT cells. The cell photoaging model may limit experimental bias caused by different exposure times of skin model samples.

Predicting Non-Small-Cell Lung Cancer Survival after Curative Surgery via Deep Learning of Diffusion MRI

BACKGROUND

the objective of this study is to evaluate the predictive power of the survival model using deep learning of diffusion-weighted images (DWI) in patients with non-small-cell lung cancer (NSCLC).

METHODS

DWI at b-values of 0, 100, and 700 sec/mm2 (DWI0, DWI100, DWI700) were preoperatively obtained for 100 NSCLC patients who underwent curative surgery (57 men, 43 women; mean age, 62 years). The ADC0-100 (perfusion-sensitive ADC), ADC100-700 (perfusion-insensitive ADC), ADC0-100-700, and demographic features were collected as input data and 5-year survival was collected as output data. Our survival model adopted transfer learning from a pre-trained VGG-16 network, whereby the softmax layer was replaced with the binary classification layer for the prediction of 5-year survival. Three channels of input data were selected in combination out of DWIs and ADC images and their accuracies and AUCs were compared for the best performance during 10-fold cross validation.

RESULTS

66 patients survived, and 34 patients died. The predictive performance was the best in the following combination: DWI0-ADC0-100-ADC0-100-700 (accuracy: 92%; AUC: 0.904). This was followed by DWI0-DWI700-ADC0-100-700, DWI0-DWI100-DWI700, and DWI0-DWI0-DWI0 (accuracy: 91%, 81%, 76%; AUC: 0.889, 0.763, 0.711, respectively). Survival prediction models trained with ADC performed significantly better than the one trained with DWI only (p-values < 0.05). The survival prediction was improved when demographic features were added to the model with only DWIs, but the benefit of clinical information was not prominent when added to the best performing model using both DWI and ADC.

CONCLUSIONS

Deep learning may play a role in the survival prediction of lung cancer. The performance of learning can be enhanced by inputting precedented, proven functional parameters of the ADC instead of the original data of DWIs only.

MAVS-Based Reporter Systems for Real-Time Imaging of EV71 Infection and Antiviral Testing

Enterovirus consists of a variety of viruses that could cause a wide range of illness in human. The pathogenesis of these viruses remains incompletely understood and no specific treatment is available. Better methods to study enterovirus infection in live cells will help us better understand the pathogenesis of these viruses and might contribute to antiviral development. Here in this study, we developed fluorescent cell-based reporter systems that allow sensitive distinction of individual cells infected with enterovirus 71 (EV71). More importantly, these systems could be easily used for live-cell imaging by monitoring viral-induced fluorescence translocation after EV71 infection. We further demonstrated that these reporter systems could be used to study other enterovirus-mediated MAVS cleavage and they are sensitive for antiviral activity testing. Therefore, integration of these reporters with modern image-based analysis has the potential to generate new insights into enterovirus infection and facilitate antiviral development.

Probiotic Lactobacillus Species and Their Biosurfactants Eliminate Acinetobacter baumannii Biofilm in Various Manners

Acinetobacter baumannii is a critical biofilm-forming pathogen that has presented great challenges in the clinic due to multidrug resistance. Thus, new methods of intervention are needed to control biofilm-associated infections. In this study, among three tested Lactobacillus species, Lactobacillus rhamnosus showed significant antimaturation and antiadherence effects against A. baumannii biofilm. Lactic acid (LA) and acetic acid (AA) were the most effective antibiofilm biosurfactants (BSs) produced by L. rhamnosus. This antibiofilm phenomenon produced by LA and AA was due to the strong bactericidal effect, which worked from very early time points, as determined by colony enumeration and confocal laser scanning microscope. The cell destruction of A. baumannii appeared in both the cell envelope and cytoplasm. A discontinuous cell envelope, the leakage of cell contents, and the increased extracellular activity of ATPase demonstrated the disruption of the cell membrane by LA and AA. These effects also demonstrated the occurrence of protein lysis. In addition, bacterial DNA interacted with and was damaged by LA and AA, resulting in significantly reduced expression of biofilm and DNA repair genes. The results highlight the possibility and importance of using probiotics in clinical prevention. Probiotics can be utilized as novel biocides to block and decrease biofilm formation and microbial contamination in medical equipment and during the treatment of infections. IMPORTANCE A. baumannii biofilm is a significant virulence factor that causes the biofilm colonization of invasive illnesses. Rising bacterial resistance to synthetic antimicrobials has prompted researchers to look at natural alternatives, such as probiotics and their derivatives. In this study, L. rhamnosus and its BSs (LA and AA) demonstrated remarkable antibiofilm and antimicrobial characteristics, with a significant inhibitory effect on A. baumannii. These effects were achieved by several mechanisms, including the disruption of the cell envelope membrane, protein lysis, reduced expression of biofilm-related genes, and destruction of bacterial DNA. The results provide support for the possibility of using probiotics and their derivatives in the clinical prevention and therapy of A. baumannii infections.

Through the Self-Optimization process to achieve high OER activity of SAC catalysts within the framework of TMO3@G and TMO4@G: A High-Throughput theoretical study

High-throughput DFT calculations are performed to explore the oxygen evolution reaction (OER) catalytic activity of a series of 2D graphene-based systems with TMO₃ or TMO₄ functional units. By screening the 3d/4d/5d transition metal (TM) atoms, a total of twelve TMO₃@G or TMO₄@G systems had extremely low overpotential of 0.33 ∼ 0.59 V, in which the V/Nb/Ta atom in VB group and Ru/Co/Rh/Ir atom in VIII group served as the active sites. The mechanism analysis reveals that the filling of outer electrons of TM atom can play an important role in determining the overpotential value by affecting the ΔG_O* value as an effective descriptor. Especially, in addition to the general situation of OER on the clean surface of the systems containing the Rh/Ir metal centers, the self-optimization process of TM-sites was carried out, and it made most of these single-atom catalysts (SAC) systems to have high OER catalytic activity. All these fascinating findings can contribute to an in-depth understanding of the OER catalytic activity and mechanism of the excellent graphene-based SAC systems. This work will facilitate the design and implementation of non-precious and highly efficient OER catalysts in the near future.

Circulating miR-326 could serve as a predictive biomarker for response to neoadjuvant chemotherapy in locally advanced cervical cancer

Background

Clinically, few patients with locally advanced cervical cancer (LACC) are insensitive to neoadjuvant chemotherapy (NACT). Recent studies have reported that circulating microRNAs (miRNAs) may be involved in the response to NACT. The aim of this study was to discover the potential miRNAs that can predict the response to NACT in LACC.

Methods

Pair-matched blood samples of 39 LACC patients before and after receiving NACT were collected. Seven paired samples were used for microRNA microarray analysis. Targeted miRNAs were selected by bioinformatics analysis and were validated by quantitative reverse transcription–polymerase chain reaction (qRT-PCR). All 39 patients were assigned into either the responders group or the non-responders group after NACT. The predictive performance of selected microRNA was evaluated by sensitivity, specificity, accuracy, and the area under the receiver operating characteristic (ROC) curve.

Results

A total of 17 miRNAs downregulated before NACT and upregulated after NACT were selected according to microarray analysis in our previous study, and miR-326 and miR-376a-3p were selected for further exploration. According to the responses and the evaluation criteria, 25 patients reached partial response (PR) and 14 patients remained stable. Further qRT-PCR analysis showed that miR-326 significantly downregulated before NACT and upregulated after NACT in 12 responders (p = 0.02). The expression of miR-376a-3p showed no statistical difference before and after NACT in these 12 responders. Then, miR-326 provided an AUC-ROC of 0.75 (p = 0.04) in the discrimination between the responders and non-responders groups. The cutoff value of ROC for miR-326 to predict the response of NACT was <0.023, the sensitivity was 88.89%, and the specificity was 50%.

Conclusions

The expression of miR-326 significantly upregulated after NACT in responders. miR-326 may be a biomarker for predicting the response to NACT in LACC patients. The results may optimize individualized treatments for LACC patients.

Hepatitis B or C viral infection and the risk of cervical cancer

BACKGROUND

The present study aimed to evaluate the effects of hepatitis B virus (HBV) or hepatitis C virus (HCV) infection on the risk of cervical cancer.

METHODS

We conducted a case-control study including 838 cervical cancer cases and 838 benign disease controls matched for age, ethnicity, and place of birth. Venous blood was tested for HBV and HCV serological markers. Multiple odds ratios (OR) and corresponding 95% confidence intervals (CI) for cervical cancer were estimated using logistic regression. HBV antigens were examined using immunohistochemical staining.

RESULTS

Anti-HCV was positive in 10 cases (1.2%) and 0 controls (0%). Cases had higher percentage of chronic HBV infection (HBsAg-positive/anti-HBc-positive) and prior HBV infection (HBsAg-negative/anti-HBc-positive) than controls (6.3% vs 4.4%; 11.6% vs 7.3%). Both chronic HBV infection (OR 1.6; 95% CI 1.0-2.4) and prior HBV infection (OR 1.7; 95% CI 1.2-2.4) were associated with cervical cancer in univariate logistic regression analyses. In subgroup analysis among HPV-positive patients, the association between chronic HBV infection and cervical cancer disappeared (OR 1.2; 95% CI 0.4-3.4); while in subgroup among patients younger than 50 years, the association remained significant with adjustment for HPV infection and parity (adjusted OR 2.1; 95% CI 1.0-4.4). HBsAg and HBcAg were detected in 8% and 12% of cervical cancer cases who had seropositive HBsAg, respectively. Compared with the benign controls, individuals with both HBsAg and HPV positive had an increased risk of cervical cancer (adjusted OR 67.1; 95% CI 23.4-192.7).

CONCLUSIONS

HBV infection was associated with cervical cancer in patients with age younger than 50 years. Further prospective studies are needed to confirm this relationship.

Co-impacts of the microplastic polyamide and sertraline on the denitrification function and microbial community structure in SBRs

The co-impacts of microplastics (MPs) and organic pollutants on activated sludge have attracted extensive attention. In this study, microplastic polyamide (PA) and sertraline (SER) were respectively or simultaneously added to sequencing batch reactors (SBRs), and the impacts of these pollutants on activated sludge were investigated. The results showed that NH₄⁺-N and TN removal efficiencies significantly decreased with the simultaneous adding of the two pollutants. The coexistence of PA and SER could observably decrease the settling ability of activated sludge, and more proteins and polysaccharides were generated to reduce the combined toxicity. The microbial diversity, especially the denitrification microorganism, was restrained and the metabolic function and the key enzyme involved in nitrogen metabolism pathways were observably decreased, due to the combined toxicity of this two pollutants. Furthermore, the effective SER interception by PA in SBR could induce the SER enrichment in activated sludge and enhance the biotoxicity toward sludge microorganisms.

Brain signatures based on structural MRI: Classification for MCI, PMCI, and AD

Structural MRI (sMRI) provides valuable information for understanding neurodegenerative illnesses such as Alzheimer's Disease (AD) since it detects the brain's cerebral atrophy. The development of brain networks utilizing single imaging data-sMRI is an understudied area that has the potential to provide a network neuroscientific viewpoint on the brain. In this paper, we proposed a framework for constructing a brain network utilizing sMRI data, followed by the extraction of signature networks and important regions of interest (ROIs). To construct a brain network using sMRI, nodes are defined as regions described by the brain atlas, and edge weights are determined using a distance measure called the Sorensen distance between probability distributions of gray matter tissue probability maps. The brain signatures identified are based on the changes in the networks of disease and control subjects. To validate the proposed methodology, we first identified the brain signatures and critical ROIs associated with mild cognitive impairment (MCI), progressive MCI (PMCI), and Alzheimer's disease (AD) with 60 reference subjects (15 each of control, MCI, PMCI, and AD). Then, 200 examination subjects (50 each of control, MCI, PMCI, and AD) were selected to evaluate the identified signature patterns. Results demonstrate that the proposed framework is capable of extracting brain signatures and has a number of potential applications in the disciplines of brain mapping, brain communication, and brain network-based applications.

Brain Injury in Fetuses with Vein of Galen Malformation and Nongalenic Arteriovenous Fistulas: Static Snapshot or a Portent of More?

BACKGROUND AND PURPOSE

Brain injury in fetuses with vein of Galen malformations and nongalenic AVFs is a rare complication whose appearance, course, and prognosis are poorly studied. We sought to characterize the MR imaging features and examine associations with postnatal outcome.

MATERIALS AND METHODS

This was a retrospective analysis of fetal MRIs of subjects with vein of Galen malformation and nongalenic arteriovenous fistulas. Two pediatric neuroradiologists independently reviewed examinations to determine the presence of abnormalities on structural imaging (T1 volumetric interpolated breath-hold examination and T2-HASTE), DWI, and T2*-weighted images; discrepancies were adjudicated by a third reviewer. Radiologic progression of injury was determined by additional fetal or neonatal MRIs. A simple composite score evaluating poor neonatal clinical outcome as either intubation or death by postnatal day 2 was also queried. A body fetal imager evaluated the presence of systemic findings of right heart strain.

RESULTS

Forty-nine fetal MR imaging examinations corresponding to 31 subjects (27 vein of Galen malformations and 4 nongalenic AVF cases) were analyzed. Injury was observed in 8 subjects (26%) with 14 fetal examinations; the mean gestational age at identification of injury was 32.2 (SD 4.9) weeks. Structural abnormalities were present in all subjects with injury; restricted diffusion, in 5/7 subjects with available data; and T2* abnormalities, in all subjects with available data (n = 7). Radiologic progression was documented in all cases with follow-up imaging (n = 7). All subjects with fetal brain injury had a poor neonatal clinical outcome.

CONCLUSIONS

Brain injury in fetuses with vein of Galen malformation and nongalenic AVFs shows a combination of structural abnormalities, restricted diffusion, and blooming on T2* images. Injury appears to portend a poor prognosis, with relentless progression and a likely association with adverse neonatal outcomes.

Efficacy of Early Application of 1540 nm Non-ablative Fractional Laser and Silicones to Improve Post-epicanthoplasty Scars

The combination of epicanthoplasty and blepharoplasty is a popular choice in Asians to acquire a pair of charming big eyes. However, the obvious scarring in the medial canthal area may result in unsatisfactory aesthetic outcomes. Recently, various laser treatments have been used to deal with scars had achieved detectable improvement, but only a few studies investigating the efficacy of lasers used in post-epicanthoplasty scarring were developed. A total of 70 participants who underwent Z-epicanthoplasty were enrolled in this prospective clinical trial and were randomly assigned to the groups of 1540nm non-ablative fractional laser (NAFL) combined with silicones treatment and silicones alone treatment. The NAFL-exposure in the treated group was additionally applied to the medial canthal area on day 21 postoperatively, compared with the participants in the control group who had only been treated with the daily usage of silicone sheets for 12 hours and silicone gels twice for 5 months after scab had fallen from the skin. Scar evolution was performed by patient and observer scar assessment Scales (POSAS) and visual analogue scale (VAS) for 21 days, and 6 months postoperatively. 64 participants have completed the entire follow-up process. The scar recovery was statistically detected in treated group compared with the control group at 6-month postoperatively assessed by POSAS, especially in pliability of scars. Furthermore, the VAS evaluations showed superior satisfaction in treated group. The early treatment of NAFL combined with silicones has improved scar formation in medial canthal region after epicantholplasties efficiently.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 .

3D multi-scale residual fully convolutional neural network for segmentation of extremely large-sized kidney tumor

BACKGROUND AND OBJECTIVE

We propose a novel deep neural network, the 3D Multi-Scale Residual Fully Convolutional Neural Network (3D-MS-RFCNN) to improve segmentation in extremely large-sized kidney tumors.

METHOD

The multi-scale approach with a deep neural network is applied to capture global contextual features. Our method, 3D-MS-RFCNN, consists of two encoders and one decoder as a single complete network. One of the encoders is designed for capturing global contextual information by using the low-resolution, down-sampled data from input images. In the decoder, features from the encoder for global contextual features are concatenated with up-sampled features from the previous layer and features from the other encoder. Ensemble learning strategy is also applied.

RESULTS

We evaluated the performance of our proposed method using the KiTS public dataset and the in-house hospital dataset. When compared with the state-of-the-art method, Res3D U-Net, our model, 3D-MS-RFCNN, demonstrated greater accuracy (0.9390 dice score for KiTS dataset and 0.8575 dice score for external dataset) for segmenting extremely large-sized kidney tumors.

CONCLUSIONS

Our proposed network shows significantly improved segmentation performance of extremely large-sized targets. This study can be usefully employed in the field of medical image analysis.

Clinical Comparison of 3 Different Double Eyelid Surgeries

OBJECTIVE

Double blepharoplasty or double eyelid surgery is a common plastic surgery in Asians. Our study aimed to evaluate the advantages and disadvantages of the minimally invasive 3-point subcutaneous tunnel double eyelid surgical technique relative to other commonly used approaches.

METHOD

The study compared 852 single eyelid patients electing 1 of 3 double eyelid surgical options; minimally invasive 3-point subcutaneous tunnel, minimally invasive 3-point embedding, or incision double eyelid surgery. Evaluation criteria included postoperative swelling, hyperemia, pain, scarring, single eyelid recurrence, and patient satisfaction after 2 years.

RESULTS

All surgical methods effectively achieved double eyelids. Directly after the procedure, the minimally invasive 3-point embedding method produced the mildest degree of swelling and congestion, followed by the 3-point subcutaneous tunnel method and then the incision method (F = 523.908, P = 0.000). The incision method also resulted in more serious postoperative pain, whereas the other 2 methods were equivalent (F = 83.117, P = 0.000). Patients in the incision group had the most severe scars compared with the other 2 groups with milder scarring (F = 882.102, P = 0.000). The minimally invasive 3-point embedding method group had the highest single eyelid recurrence rate (5.88%), whereas the recurrence rates for the other 2 methods were less than 1%. Patients satisfaction after 2 years was highest in the minimally invasive 3-point subcutaneous tunneling method, followed by the 3-point embedding method and lastly the incision method (F = 25.931, P = 0.00).

CONCLUSIONS

Minimally invasive 3-point subcutaneous tunnel double eyelid surgery has advantages over other techniques, and its clinical application is worth promoting for suitable patients.

Analysis of the Characteristics of Aging Changes in the Eye Contours of Chinese Han Women

OBJECTIVE

To explore the characteristics of aging changes in the eye contour of Chinese Han women and to provide reference data to base eye rejuvenation treatments.

METHOD

A total of 527 Chinese Han women without prior cosmetic or reconstructive surgery were grouped according to decades of age (123 individuals from 20 to 29 years, 104 from 30to 39 years, 100 from 40 to 49 years, 100 from 50 to 59 years, and 100 >60 years). Unobscured facial images of each individual were taken and used to measure eye contour data according to a defined matrix. The relationship between eye contour indices among the different age groups was analyzed by one-way ANOVA.

RESULTS

With increasing age, the distance and the vertical distance between the medial and lateral canthal points all became progressively shorter, especially the exposed length of the eyeball. Additionally, the distance between the lateral canthus and the temporal border, the distance between the medial canthus and the lateral canthus, the distance between the lower eyelid margin and the line connecting the medial canthus and the lateral canthus, all became shorter with age. The width of the face in the lateral canthal plane became narrower, while conversely, the distance and vertical distance between the punctum and the medial canthus became longer.

CONCLUSION

The eye contours of Chinese Han women show regular changes during the aging process. The main manifestations involve the cleft of the eye shrinking, the medial canthus receding, and the eye contour shifting inwards and downwards as a whole.

LEVEL OF EVIDENCE V

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 .

Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge

Lung cancer is by far the leading cause of cancer death in the US. Recent studies have demonstrated the effectiveness of screening using low dose CT (LDCT) in reducing lung cancer related mortality. While lung nodules are detected with a high rate of sensitivity, this exam has a low specificity rate and it is still difficult to separate benign and malignant lesions. The ISBI 2018 Lung Nodule Malignancy Prediction Challenge, developed by a team from the Quantitative Imaging Network of the National Cancer Institute, was focused on the prediction of lung nodule malignancy from two sequential LDCT screening exams using automated (non-manual) algorithms. We curated a cohort of 100 subjects who participated in the National Lung Screening Trial and had established pathological diagnoses. Data from 30 subjects were randomly selected for training and the remaining was used for testing. Participants were evaluated based on the area under the receiver operating characteristic curve (AUC) of nodule-wise malignancy scores generated by their algorithms on the test set. The challenge had 17 participants, with 11 teams submitting reports with method description, mandated by the challenge rules. Participants used quantitative methods, resulting in a reporting test AUC ranging from 0.698 to 0.913. The top five contestants used deep learning approaches, reporting an AUC between 0.87 - 0.91. The team's predictor did not achieve significant differences from each other nor from a volume change estimate (p =.05 with Bonferroni-Holm's correction).