Realization of Material with an Atomic Ruby Lattice.

The ruby lattice is one of the tight-binding models which hosts a flat band in its electronic structure and has potential applications in future spintronics and quantum devices. However, the experimental realization of a ruby lattice in realistic materials remains elusive. Here, we have experimentally realized an atomic ruby lattice by fabricating monolayer CuCl1+x on a Au(111) substrate. Scanning tunneling microscopy/spectra (STM/STS) measurements combined with density-functional theory (DFT) calculations reveal that the Cu atoms are arranged in a ruby lattice in this monolayer. Moreover, a significant density of states (DOS) peak corresponding to the characteristic of a ruby system is observed, consistent with both the tight-binding model and first-principles calculations on the band structure. Our work provides a promising platform to explore the physics of the ruby model.

Intracellular Protein Adsorption Behavior and Biological Effects of Polystyrene Nanoplastics in THP-1 Cells.

Micro(nano)plastics (MNPs) are emerging pollutants that can adsorb pollutants in the environment and biological molecules and ultimately affect human health. However, the aspects of adsorption of intracellular proteins onto MNPs and its biological effects in cells have not been investigated to date. The present study revealed that 100 nm polystyrene nanoplastics (NPs) could be internalized by THP-1 cells and specifically adsorbed intracellular proteins. In total, 773 proteins adsorbed onto NPs with high reliability were identified using the proteomics approach and analyzed via bioinformatics to predict the route and distribution of NPs following cellular internalization. The representative proteins identified via the Kyoto Encyclopedia of Genes and Genomes pathway analysis were further investigated to characterize protein adsorption onto NPs and its biological effects. The analysis revealed that NPs affect glycolysis through pyruvate kinase M (PKM) adsorption, trigger the unfolded protein response through the adsorption of ribophorin 1 (RPN1) and heat shock 70 protein 8 (HSPA8), and are chiefly internalized into cells through clathrin-mediated endocytosis with concomitant clathrin heavy chain (CLTC) adsorption. Therefore, this work provides new insights and research strategies for the study of the biological effects caused by NPs.

Melamine self-assembly and dehydrogenation on Ag(111) studied by tip-enhanced Raman spectroscopy.

The adsorption and self-assembly structures of melamine molecules on an Ag(111) surface are studied by low temperature scanning tunneling microscopy (STM) combined with tip-enhanced Raman spectroscopy (TERS). Two ordered self-assembly phases of melamine molecules on Ag(111) were studied by STM and TERS, combining with first-principles simulations. The α-phase consists of flat-lying melamine molecules, while the ß-phase consists of mixed up-standing/tilted melamine molecules. Moreover, dehydrogenation of melamine can be controlled by annealing the sample as well as by a tip-enhanced photo-catalytic effect. Our work demonstrates TERS as a powerful tool not only for investigating the configuration and vibration properties of molecules on a metal surface with high spatial resolution but also for manipulating the chemical reactions with tip and photo-induced effects.

Multidisciplinary Treatment for Severe Secondary Raynaud's Phenomenon: A Case Report.

Raynaud's phenomenon is a symptom complex manifested as intermittent fingertip ischemia caused by cold or other sympathetic drivers. Secondary Raynaud's phenomenon is often more severe and could even lead to finger ulceration, making it particularly complicated to treat. We describe a case of severe Raynaud's phenomenon secondary to subclinical hypothyroidism lasting for more than 6 hours in a 65-year-old woman. The patient was also diagnosed with hypothyroidism, epilepsy, and secondary soft tissue infection of the right middle and ring fingers. After careful multidisciplinary consultation and discussion, the patient received vasodilation, anticoagulation, thyroxine supplementation, stellate ganglion block, hyperbaric oxygen therapy and debridement. The patient responded well to the medication, avoiding amputation or obviously dysfunction. Multidisciplinary team gathering the doctors from different departments proposes appropriate strategies for patients with severe Raynaud's phenomenon and could improve the prognosis and satisfaction of patient effectively.

Two-Week Multimodal Prehabilitation Program Improves Perioperative Functional Capability in Patients Undergoing Thoracoscopic Lobectomy for Lung Cancer: A Randomized Controlled Trial.

BACKGROUND: Patients with lung cancer often experience reduced functional capacity and quality of life after surgery. The current study investigated the impact of a short-term, home-based, multimodal prehabilitation program on perioperative functional capacity in patients undergoing video-assisted thoracoscopic surgery (VATS) lobectomy for nonsmall cell lung cancer (NSCLC). METHODS: A randomized controlled trial was conducted with 73 patients. Patients in the prehabilitation group (n = 37) received a 2-week multimodal intervention program before surgery, including aerobic and resistance exercises, respiratory training, nutrition counseling with whey protein supplementation, and psychological guidance. Patients in the control group (n = 36) received the usual clinical care. The assessors were blinded to the patient allocation. The primary outcome was perioperative functional capacity measured as the 6-minute walk distance (6MWD), which was assessed at 1 day before and 30 days after surgery. A linear mixed-effects model was built to analyze the perioperative 6MWD. Other outcomes included lung function, disability and psychometric evaluations, length of stay (LOS), short-term recovery quality, postoperative complications, and mortality. RESULTS: The median duration of prehabilitation was 15 days. The average 6MWD was 60.9 m higher perioperatively in the prehabilitation group compared to the control group (95% confidence interval [CI], 32.4-89.5; P < .001). There were no differences in lung function, disability and psychological assessment, LOS, short-term recovery quality, postoperative complications, and mortality, except for forced vital capacity (FVC; 0.35 L higher in the prehabilitation group, 95% CI, 0.05-0.66; P = .021). CONCLUSIONS: A 2-week, home-based, multimodal prehabilitation program could produce clinically relevant improvements in perioperative functional capacity in patients undergoing VATS lobectomy for lung cancer.

Anesthesia Strategies and Perioperative Optimization for Patients with Ankylosing Spondylitis Undergoing Total Hip Replacement Surgery.

Objective To identify the characteristics of anesthesia and perioperative management for ankylosing spondylitis (AS) patients undergoing total hip arthroplasty (THA). Methods Totally 63 patients scheduled for single THA in PUMC Hospital from January 1st 2013 to June 1st 2015 were included in this retrospective analysis,among whom 21 patients were diagnosed of AS. The perioperative clinical data included:demographic data,American Society of Anesthesiologists (ASA) classification,medical history,airway assessment,preoperative laboratory examinations,electrocardiogram,pulmonary function tests,intubation information,operation time,intraoperative intake and output volume,postoperative hospital stay,and postoperative complications. Results Significantly fewer AS patients undergoing THA were evaluated as ASA classification I than non-AS patients (9.5% vs. 33.3%,P=0.041). AS patients had significantly higher level of preoperative high-sensitivity C-reactive protein [(17.0±14.8)mg/L vs.(4.3±7.1)mg/L,P<0.001],platelets [(275.0±71.3)×10(9)/L vs. (237.7±68.0)×10(9)/L,P=0.048] and neutrophils [(4.7±1.7)×10(9)/L vs. (3.9±1.4)×10(9)/L,P=0.044] and higher incidence of pulmonary function abnormality (42.9% vs.16.7%,P=0.024).More AS patients were induced with scoline (14.3% vs.0,P=0.012). More AS patients underwent THA with Mallampati classification 3 (28.6% vs.7.1%,P=0.022),reduced neck extension(47.6% vs.2.4%,P<0.001),Cormack-Lehane classification2(56.3% vs.15.4%,P=0.002)and 3 (18.8% vs.0,P=0.005),while much fewer AS patients had Cormack-Lehane classification1 (25.0% vs.84.6%,P<0.001).A variety of difficult airway tools were used in intubation (AS group:Macintosh laryngoscope:14%,Macintosh laryngoscope with stylet:38%,visualization laryngoscope:24%,visualization stylet:10% and fiber bronchoscope:14%;non-AS group:57%,24%,12%,5% and 2%,respectively). The use of intraoperative autologous blood transfusion (33.3% vs.11.9%,P=0.041) and postoperative 24 h drainage (61.9% vs.31.0%,P=0.019) were more common in AS group. However,no statistical difference existed in the success rate of first intubation,postoperative hemoglobin,postoperative hematocrit,and postoperative hospitalization(all P>0.05). Conclusions AS patients undergoing THA have elevated preoperative inflammatory markers,with high incidence of pulmonary function abnormality and difficult airway. In consideration of high risk of surgery and anesthesia,adequate airway evaluation and optimization of perioperative management are needed to ensure the patients' safety.

[Anesthesia Update in Enhanced Recovery after Surgery].

Enhanced recovery after surgery (ERAS) is a series of clinical programs on base of evidence-based perioperative optimization management,focusing on clinical multidisciplinary cooperation,with an attempt to improve patient's outcomes, reduce complications, and shorten postoperative hospitalization. Anesthesia plays an important role in many aspects of ERAS, including patient education,preoperative evaluation and optimization, anesthesia choice and medication,fluid therapy, temperature monitoring, and postoperative analgesia. This review explores new understandings and points on clinical anesthesia in ERAS management.

[Risk Factors of Perioperative Cardiac Events in Elderly Patients with Coronary Heart Disease Undergoing Non-cardiac Surgery].

OBJECTIVE: To identify the incidence and risk factors of perioperative major adverse cardiac events (MACE) in elderly patients with coronary heart disease (CHD) undergoing non-cardiac surgery. METHODS: We prospectively analyzed the clinical data of 360 CHD patients who aged 75 years or older undergoing elective intermediate-to high-risk surgery in five medical centers across China from January 2008 to January 2010. The clinical variables included the 12-lead ECG and Troponin I levels after surgery. The combined outcome was defined as all the perioperative MACE in hospital. The risk factors of MACE and their indexes were analyzed with univariate analysis and multivariable logistic regression in SPSS software,together with a risk scoring and stratification system established. RESULTS: Perioperative MACE occurred in 11.94% of elderly CHD patients undergoing non-cardiac surgery. Seven independent risk factors of perioperative MACE for this population were identified,which included angina within 6 months (P=0.001), hypertension(P=0.014), preoperative haematocrit (HCT) <40% (P=0.050), serum creatinine (Scr)>150 mmol/L (P=0.014), ejection fraction(EF) <50% (P=0.019), intraoperative hyoxemia (P=0.019), and operative time>150 min (P=0.001). The risk indexes of these factors were 4,3,3,6,4,5, and 4, respectively. The rate of perioperative MACE increased significantly as the level of risk stratification elevated. CONCLUSIONS: Elderly CHD patients undergoing non-cardiac surgery are at high risk of perioperative MACE. Angina within 6 months,hypertension, preoperative HCT<40%, Scr>150 mmol/L, EF<50%, intraoperative hyoxemia, and operative time>150 min can increase the risk of MACE. The risk scoring and stratification system based on the risk factor index can be a valuable parameter for assessing the perioperative cardiac risk of noncardiac surgery for elderly CHD patients.

A novel approach to the detection of facial wrinkles: Database, detection algorithm, and evaluation metrics.

Skin wrinkles result from intrinsic aging processes and extrinsic influences, including prolonged exposure to ultraviolet radiation and tobacco smoking. Hence, the identification of wrinkles holds significant importance in skin aging and medical aesthetic investigation. Nevertheless, current methods lack the comprehensiveness to identify facial wrinkles, particularly those that may appear insignificant. Furthermore, the current assessment techniques neglect to consider the blurred boundary of wrinkles and cannot differentiate images with varying resolutions. This research introduces a novel wrinkle detection algorithm and a distance-based loss function to identify full-face wrinkles. Furthermore, we develop a wrinkle detection evaluation metric that assesses outcomes based on curve, location, and gradient similarity. We collected and annotated a dataset for wrinkle detection consisting of 1021 images of Chinese faces. The dataset will be made publicly available to further promote wrinkle detection research. The research demonstrates a substantial enhancement in detecting subtle wrinkles through implementing the proposed method. Furthermore, the suggested evaluation procedure effectively considers the indistinct boundaries of wrinkles and is applicable to images with various resolutions.

Neighborhood evaluator for efficient super-resolution reconstruction of 2D medical images.

BACKGROUND: Deep learning-based super-resolution (SR) algorithms aim to reconstruct low-resolution (LR) images into high-fidelity high-resolution (HR) images by learning the low- and high-frequency information. Experts' diagnostic requirements are fulfilled in medical application scenarios through the high-quality reconstruction of LR digital medical images. PURPOSE: Medical image SR algorithms should satisfy the requirements of arbitrary resolution and high efficiency in applications. However, there is currently no relevant study available. Several SR research on natural images have accomplished the reconstruction of resolutions without limitations. However, these methodologies provide challenges in meeting medical applications due to the large scale of the model, which significantly limits efficiency. Hence, we suggest a highly effective method for reconstructing medical images at any desired resolution. METHODS: Statistical features of medical images exhibit greater continuity in the region of neighboring pixels than natural images. Hence, the process of reconstructing medical images is comparatively less challenging. Utilizing this property, we develop a neighborhood evaluator to represent the continuity of the neighborhood while controlling the network's depth. RESULTS: The suggested method has superior performance across seven scales of reconstruction, as evidenced by experiments conducted on panoramic radiographs and two external public datasets. Furthermore, the proposed network significantly decreases the parameter count by over 20× and the computational workload by over 10× compared to prior researches. On large-scale reconstruction, the inference speed can be enhanced by over 5×. CONCLUSION: The novel proposed SR strategy for medical images performs efficient reconstruction at arbitrary resolution, marking a significant breakthrough in the field. The given scheme facilitates the implementation of SR in mobile medical platforms.

Preoperative 6-minute walk distance is associated with postoperative complications in patients undergoing laparoscopic gastrointestinal cancer surgery.

OBJECTIVE: The 6-min walk test (6MWT) is a simple and valid method to evaluate cardiopulmonary function. We performed this prospective study in patients undergoing laparoscopic gastrointestinal cancer surgery to explore the association between preoperative 6MWT performance and overall postoperative complications. METHODS: This study was registered at clinicaltrials.gov (NCT03711526). The study consecutively enrolled patients receiving laparoscopic gastrointestinal cancer surgery in our institution. All patients performed the 6MWT upon recruitment and received 30 days of postoperative follow-up. The primary outcome was overall complications, defined by ≥ grade I Clavien-Dindo (CD) classification (2004) complications. Multivariable logistic regression was used to test the association of 6-min walk distance (6MWD) with the outcome. RESULTS: A total of 184 patients were included in the final analyses. In the 37 (20.1 %) patients with overall complications, the mean (standard deviation) preoperative 6MWD was 469.1 (86.8) m. In patients with no complications, the 6MWD was 502.6 (90.2) m. The mean difference was 33.5 m (95 % confidence interval, 1.3, 65.7; P = 0.042). A longer preoperative 6MWD was associated with a lower odds of developing postoperative complications (odds ratio, 0.994 per meter increase; 95 % confidence interval, 0.989, 0.999; p = 0.023). CONCLUSION: This study indicated an association between the preoperative 6MWD and postoperative complications in patients undergoing laparoscopic gastrointestinal cancer surgery.

Risk Factors and Prognosis of Perioperative Atrial Fibrillation in Elderly Patients Undergoing VATS Lung Surgery: A Retrospective Cohort Study.

Background: Atrial fibrillation (AF) has become the most common postoperative arrhythmia of thoracic surgery. This study aimed to investigate the risk factors and complications of perioperative atrial fibrillation (PoAF) in elderly patients who underwent video-assisted thoracoscopic surgery (VATS). Methods: Data were collected from patients who underwent VATS between January 2013 and December 2022 at Peking Union Medical College Hospital (PUMCH). Univariable analyses and multivariable logistic regression analyses were used to determine the factors correlated with PoAF. Receiver operating characteristic (ROC) curve was used to evaluate the discrimination of the indicators to predict PoAF. Results: The study enrolled 2920 patients, with a PoAF incidence of 5.2% (95% CI 4.4%-6.0%). In the logistic regression analyses, male sex (OR=1.496, 95% CI 1.056-2.129, P=0.024), left atrial anteroposterior dimension (LAD) ≥40 mm (OR=2.154, 95% CI 1.235-3.578, P=0.004), hypertension (HTN) without regular treatment (OR=2.044, 95% CI 0.961-3.921, P=0.044), a history of hyperthyroidism (OR=4.443, 95% CI 0.947-15.306, P=0.030), surgery of the left upper lobe (compared to other lung lobes) (OR=1.625, 95% CI 1.139-2.297, P=0.007), postoperative high blood glucose (BG) (OR=2.482, 95% CI 0.912-5.688, P=0.048), and the time of chest tube removal (per day postoperatively) (OR=1.116, 95% CI 1.038-1.195, P=0.002) were found to be significantly associated with PoAF. The area under the ROC curve was 0.707 (95% CI 0.519-0.799). 86.9% patients were successfully converted to sinus rhythm. Compared with the non-PoAF group, the PoAF group had significantly greater risks of prolonged air leakage, postoperative acute coronary syndrome, longer ICU stays, and longer hospital stays. Conclusion: Male sex, LAD≥40 mm, HTN without regular treatment, a history of hyperthyroidism, surgery of the left upper lobe, postoperative BG, and the time of chest tube removal were associated with PoAF. These findings may help clinicians identify high-risk patients and take preventive measures to minimize the incidence and adverse prognosis of PoAF.

CT-based artificial intelligence prediction model for ocular motility score of thyroid eye disease.

PURPOSE: Thyroid eye disease (TED) is the most common orbital disease in adults. Ocular motility restriction is the primary complaint of patients, while its evaluation is quite difficult. The present study aimed to introduce an artificial intelligence (AI) model based on orbital computed tomography (CT) images for ocular motility score. METHODS: A total of 410 sets of CT images and clinical data were obtained from the hospital. To build a triple classification predictive model for ocular motility score, multiple deep learning models were employed to extract features of images and clinical data. Subgroup analyses based on pertinent clinical features were performed to test the efficacy of models. RESULTS: The ResNet-34 network outperformed Alex-Net and VGG16-Net in prediction of ocular motility score, with the optimal accuracy (ACC) of 0.907, 0.870, and 0.890, respectively. Subgroup analyses indicated no significant difference in ACC between active or inactive phase, functional visual field diplopia or peripheral visual field diplopia (p > 0.05). However, in the gender subgroup, the prediction model performed more accurately in female patients than males (p = 0.02). CONCLUSION: In conclusion, the AI model based on CT images and clinical data successfully realized automatic scoring of ocular motility in TED patients. This approach potentially enhanced the efficiency and accuracy of ocular motility evaluation, thus facilitating clinical application.

Targeted next-generation sequencing reveals the genetic mechanism of Chinese Marfan syndrome cohort with ocular manifestation.

BACKGROUND: Marfan syndrome (MFS) is a hereditary connective tissue disorder involving multiple systems, including ophthalmologic abnormalities. Most cases are due to heterozygous mutations in the fibrillin-1 gene (FBN1). Other associated genes include LTBP2, MYH11, MYLK, and SLC2A10. There is significant clinical overlap between MFS and other Marfan-like disorders. PURPOSE: To expand the mutation spectrum of FBN1 gene and validate the pathogenicity of Marfan-related genes in patients with MFS and ocular manifestations. METHODS: We recruited 318 participants (195 cases, 123 controls), including 59 sporadic cases and 88 families. All patients had comprehensive ophthalmic examinations showing ocular features of MFS and met Ghent criteria. Additionally, 754 cases with other eye diseases were recruited. Panel-based next-generation sequencing (NGS) screened mutations in 792 genes related to inherited eye diseases. RESULTS: We detected 181 mutations with an 84.7% detection rate in sporadic cases and 87.5% in familial cases. The overall detection rate was 86.4%, with FBN1 accounting for 74.8%. In cases without FBN1 mutations, 23 mutations from seven Marfan-related genes were identified, including four pathogenic or likely pathogenic mutations in LTBP2. The 181 mutations included 165 missenses, 10 splicings, three frameshifts, and three nonsenses. FBN1 accounted for 53.0% of mutations. The most prevalent pathogenic mutation was FBN1 c.4096G>A. Additionally, 94 novel mutations were detected, with 13 de novo mutations in 14 families. CONCLUSION: We expanded the mutation spectrum of the FBN1 gene and provided evidence for the pathogenicity of other Marfan-related genes. Variants in LTBP2 may contribute to the ocular manifestations in MFS, underscoring its role in phenotypic diversity.

Artificial Intelligence for Early Detection of Pediatric Eye Diseases Using Mobile Photos.

IMPORTANCE: Identifying pediatric eye diseases at an early stage is a worldwide issue. Traditional screening procedures depend on hospitals and ophthalmologists, which are expensive and time-consuming. Using artificial intelligence (AI) to assess children's eye conditions from mobile photographs could facilitate convenient and early identification of eye disorders in a home setting. OBJECTIVE: To develop an AI model to identify myopia, strabismus, and ptosis using mobile photographs. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study was conducted at the Department of Ophthalmology of Shanghai Ninth People's Hospital from October 1, 2022, to September 30, 2023, and included children who were diagnosed with myopia, strabismus, or ptosis. MAIN OUTCOMES AND MEASURES: A deep learning-based model was developed to identify myopia, strabismus, and ptosis. The performance of the model was assessed using sensitivity, specificity, accuracy, the area under the curve (AUC), positive predictive values (PPV), negative predictive values (NPV), positive likelihood ratios (P-LR), negative likelihood ratios (N-LR), and the F1-score. GradCAM++ was utilized to visually and analytically assess the impact of each region on the model. A sex subgroup analysis and an age subgroup analysis were performed to validate the model's generalizability. RESULTS: A total of 1419 images obtained from 476 patients (225 female [47.27%]; 299 [62.82%] aged between 6 and 12 years) were used to build the model. Among them, 946 monocular images were used to identify myopia and ptosis, and 473 binocular images were used to identify strabismus. The model demonstrated good sensitivity in detecting myopia (0.84 [95% CI, 0.82-0.87]), strabismus (0.73 [95% CI, 0.70-0.77]), and ptosis (0.85 [95% CI, 0.82-0.87]). The model showed comparable performance in identifying eye disorders in both female and male children during sex subgroup analysis. There were differences in identifying eye disorders among different age subgroups. CONCLUSIONS AND RELEVANCE: In this cross-sectional study, the AI model demonstrated strong performance in accurately identifying myopia, strabismus, and ptosis using only smartphone images. These results suggest that such a model could facilitate the early detection of pediatric eye diseases in a convenient manner at home.

Robust multiferroic in interfacial modulation synthesized wafer-scale one-unit-cell of chromium sulfide.

Multiferroic materials offer a promising avenue for manipulating digital information by leveraging the cross-coupling between ferroelectric and ferromagnetic orders. Despite the ferroelectricity has been uncovered by ion displacement or interlayer-sliding, one-unit-cell of multiferroic materials design and wafer-scale synthesis have yet to be realized. Here we develope an interface modulated strategy to grow 1-inch one-unit-cell of non-layered chromium sulfide with unidirectional orientation on industry-compatible c-plane sapphire. The interfacial interaction between chromium sulfide and substrate induces the intralayer-sliding of self-intercalated chromium atoms and breaks the space reversal symmetry. As a result, robust room-temperature ferroelectricity (retaining more than one month) emerges in one-unit-cell of chromium sulfide with ultrahigh remanent polarization. Besides, long-range ferromagnetic order is discovered with the Curie temperature approaching 200 K, almost two times higher than that of bulk counterpart. In parallel, the magnetoelectric coupling is certified and which makes 1-inch one-unit-cell of chromium sulfide the largest and thinnest multiferroics.

Single-cell transcriptomic sequencing identifies subcutaneous patient-derived xenograft recapitulated medulloblastoma.

BACKGROUND: Medulloblastoma (MB) is one of the most common malignant brain tumors that mainly affect children. Various approaches have been used to model MB to facilitate investigating tumorigenesis. This study aims to compare the recapitulation of MB between subcutaneous patient-derived xenograft (sPDX), intracranial patient-derived xenograft (iPDX), and genetically engineered mouse models (GEMM) at the single-cell level. METHODS: We obtained primary human sonic hedgehog (SHH) and group 3 (G3) MB samples from six patients. For each patient specimen, we developed two sPDX and iPDX models, respectively. Three Patch+/- GEMM models were also included for sequencing. Single-cell RNA sequencing was performed to compare gene expression profiles, cellular composition, and functional pathway enrichment. Bulk RNA-seq deconvolution was performed to compare cellular composition across models and human samples. RESULTS: Our results showed that the sPDX tumor model demonstrated the highest correlation to the overall transcriptomic profiles of primary human tumors at the single-cell level within the SHH and G3 subgroups, followed by the GEMM model and iPDX. The GEMM tumor model was able to recapitulate all subpopulations of tumor microenvironment (TME) cells that can be clustered in human SHH tumors, including a higher proportion of tumor-associated astrocytes and immune cells, and an additional cluster of vascular endothelia when compared to human SHH tumors. CONCLUSIONS: This study was the first to compare experimental models for MB at the single-cell level, providing value insights into model selection for different research purposes. sPDX and iPDX are suitable for drug testing and personalized therapy screenings, whereas GEMM models are valuable for investigating the interaction between tumor and TME cells.

Machine learning algorithm based on jaw feature points assist complex maxillary and mandibular reconstruction.

PURPOSES: Large-scale jaw reconstruction can hardly achieve satisfactory results only by relying on doctors' experience. In this study, we assessed a new approach using a machine learning algorithm based on jaw feature points to assist complex jaw reconstruction in patients with maxillary and mandibular defects. METHODS: One hundred and two computed tomography (CT) data on the jaw were collected and 16 skeletal marker points on the jaw were selected. The machine learning algorithm learned the positional relationship between points and built a model, which was used to predict the coordinate position of an unknown point. Then the model was used for a surgical plan in clinical cases. RESULTS: The linear regression model based on machine learning can control the error within 3 mm. In linear models, Lasso has a slight advantage over the others. We used Lasso to predict the missing points for two patients with maxillary and mandibular defect, respectively. The operation was carried out as planned, and the defects were successfully repaired. CONCLUSIONS: The restoration of jaw feature points based on a machine learning algorithm is expected to solve large-scale jaw defects without contralateral reference.

The protocol for the prehabilitation for thoracic surgery study: a randomized pragmatic trial comparing a short home-based multimodal program to aerobic training in patients undergoing video-assisted thoracoscopic surgery lobectomy.

BACKGROUND: Prehabilitation has been shown to have a positive effect on the postoperative recovery of functional capacity in patients undergoing video-assisted thoracoscopic surgery (VATS) lobectomy. The optimal way to implement prehabilitation programs, such as the optimal forms of prehabilitation, duration, intensity, and methods to improve compliance, remained to be studied. This Prehabilitation for Thoracic Surgery Study will compare the effectiveness of multimodal and aerobic training-only programs in patients undergoing thoracoscopic lobectomy. METHODS: This randomized pragmatic trial will be conducted in Peking Union Medical College Hospital (PUMCH) and include 100 patients who are eligible to undergo VATS lobectomy. Patients will be randomized to a multimodal or aerobic training group. Prehabilitation training guidance will be provided by a multidisciplinary care team. The patients in the multimodal group will perform aerobic exercises, resistance exercises, breathing exercises, psychological improvement strategies, and nutritional supplementation. Meanwhile, the patients in the aerobic group will conduct only aerobic exercises. The interventions will be home-based and supervised by medical providers. The patients will be followed up until 30 days after surgery to investigate whether the multimodal prehabilitation program differs from the aerobic training program in terms of the magnitude of improvement in functional capability pre- to postoperatively. The primary outcome will be the perioperative 6-min walk distance (6MWD). The secondary outcomes will include the postoperative pulmonary functional recovery status, health-related quality of life score, incidence of postoperative complications, and clinical outcomes. DISCUSSION: Prehabilitation remains a relatively new approach that is not widely performed by thoracic surgery patients. The existing studies mainly focus on unimodal interventions. While multimodal prehabilitation strategies have been shown to be preferable to unimodal strategies in a few studies, the evidence remains scarce for thoracic surgery patients. The results of this study will contribute to the understanding of methods for thoracoscopic lobectomy patients. TRIAL REGISTRATION: ClinicalTrials.gov NCT04049942 . Registered on August 8, 2019.

Patient Preferences for Anesthesiologist Attire During Preoperative Visits in China: A Cross-Sectional Survey.

Background: It is important for anesthesiologists to leave good impressions and build rapport with patients during preoperative visits. However, patient preferences for anesthesiologist attire have not been well studied in China. Purpose: To characterize patient perceptions of anesthesiologist attire during preoperative visits. Patients and Methods: In this cross-sectional survey, we included adult patients who underwent elective operations in various surgical departments. We presented photographs of both male and female models wearing six combinations of attire (formal in a white coat buttoned, formal in a white coat unbuttoned, casual in a white coat buttoned, casual in a white coat unbuttoned, scrubs in a white coat buttoned, and scrubs in a coat of the same green color buttoned) in a randomized sequence. Participants were asked to rate each attire combination in five domains, including professionalism, experience, attitude, approachability, and caring. Results: Of the 541 surveys distributed, 516 (95.4%) were completed and included in the analysis. The majority of respondents were female [389 (75.4%)] and aged 31-45 years [234 (45.3%)]. The combination of scrubs in a buttoned coat of the same color had the highest composite rating score [median (interquartile range): 50 (45, 50), adjusted P<0.001 compared with the other five combinations]. There was no significant difference in preference for standardized disposable or personalized cloth operating caps. Respondents' age was independently associated with the perceived importance of anesthesiologist attire (46-60 years vs 18-35 years: odds ratio 2.17, 95% confidence interval 1.12-4.18, P=0.021). Conclusion: Patients prefer anesthesiologists wearing scrubs in coats of the same color. Standardizing anesthesiologist attire based on these findings may improve patient satisfaction.