scRNA-Seq: First Atlas and Cellular Landscape of Lacrimal Sac: Implications in Primary Acquired Nasolacrimal Duct Obstruction Pathogenesis.

Purpose: The aim of this study was to describe the transcriptional changes of individual cellular components in the lacrimal sac in patients with primary acquired nasolacrimal duct obstruction (PANDO) and attempt to construct the first lacrimal sac cellular atlas to elucidate the potential mechanisms that may drive the disease pathogenesis. Methods: Lacrimal sac samples were obtained intra-operatively during the endoscopic dacryocystorhinostomy (EnDCR) procedure from five patients. Single-cell RNA sequencing was performed to analyze each individual cell population including epithelial and immune cells during the early inflammatory and late inflammatory phases of the disease. Results: Eleven cell types were identified among 25,791 cells. T cells and B cells were the cell populations with the greatest variation in cell numbers between the two phases and were involved in immune response and epithelium migration-related pathways. The present study showed that epithelial cells highly expressed the genes of senescence-associated secretory phenotype (SASP) and were involved in influencing the inflammation, neutrophil chemotaxis, and migration during the late inflammatory stage. Enhanced activity of CXCLs-CXCRs between the epithelial cells and neutrophils was noted by the cell-cell communication analysis and is suspected to play a role in inflammation by recruiting more neutrophils. Conclusions: The study presents a comprehensive single-cell landscape of the lacrimal sac cells in different phases of PANDO. The contribution of T cells, B cells, and epithelial cells to the inflammatory response, and construction of the intercellular signaling networks between the cells within the lacrimal sac has further enhanced the present understanding of the PANDO pathogenesis.

Prediction model of radiotherapy outcome for Ocular Adnexal Lymphoma using informative features selected by chemometric algorithms.

BACKGROUND: Ocular Adnexal Lymphoma (OAL) is a non-Hodgkin's lymphoma that most often appears in the tissues near the eye, and radiotherapy is the currently preferred treatment. There has been a controversy regarding the prognostic factors for systemic failure of OAL radiotherapy, the thorough evaluation prior to receiving radiotherapy is highly recommended to better the patient's prognosis and minimize the likelihood of any adverse effects. PURPOSE: To investigate the risk factors that contribute to incomplete remission in OAL radiotherapy and to establish a hybrid model for predicting the radiotherapy outcomes in OAL patients. METHODS: A retrospective chart review was performed for 87 consecutive patients with OAL who received radiotherapy between Feb 2011 and August 2022 in our center. Seven image features, derived from MRI sequences, were integrated with 122 clinical features to form comprehensive patient feature sets. Chemometric algorithms were then employed to distill highly informative features from these sets. Based on these refined features, SVM and XGBoost classifiers were performed to classify the effect of radiotherapy. RESULTS: The clinical records of from 87 OAL patients (median age: 60 months, IQR: 52-68 months; 62.1% male) treated with radiotherapy were reviewed. Analysis of Lasso (AUC = 0.75, 95% CI: 0.72-0.77) and Random Forest (AUC = 0.67, 95% CI: 0.62-0.70) algorithms revealed four potential features, resulting in an intersection AUC of 0.80 (95% CI: 0.75-0.82). Logistic Regression (AUC = 0.75, 95% CI: 0.72-0.77) identified two features. Furthermore, the integration of chemometric methods such as CARS (AUC = 0.66, 95% CI: 0.62-0.72), UVE (AUC = 0.71, 95% CI: 0.66-0.75), and GA (AUC = 0.65, 95% CI: 0.60-0.69) highlighted six features in total, with an intersection AUC of 0.82 (95% CI: 0.78-0.83). These features included enophthalmos, diplopia, tenderness, elevated ALT count, HBsAg positivity, and CD43 positivity in immunohistochemical tests. CONCLUSION: The findings suggest the effectiveness of chemometric algorithms in pinpointing OAL risk factors, and the prediction model we proposed shows promise in helping clinicians identify OAL patients likely to achieve complete remission via radiotherapy. Notably, patients with a history of exophthalmos, diplopia, tenderness, elevated ALT levels, HBsAg positivity, and CD43 positivity are less likely to attain complete remission after radiotherapy. These insights offer more targeted management strategies for OAL patients. The developed model is accessible online at: https://lzz.testop.top/.

Primary Lacrimal Sac Tumors with Extension into Vicinity: Outcomes with Endoscopy-Assisted Modified Weber-Ferguson's Approach.

PURPOSE: To evaluate the outcomes of endoscopy-assisted modified Weber-Ferguson's approach in the management of primary lacrimal sac tumors with extension into the neighboring tissues. METHODS: A retrospective interventional study was performed on all patients with lacrimal sac tumors treated with the endoscopy-assisted modified Weber-Ferguson approach between January 2010 and June 2022 at the Shanghai Ninth People's Hospital, China. Data assessed include demographics, clinical presentations, imaging features, surgical techniques, histopathology, adjuvant modalities of management, complications, and outcomes. RESULTS: A total of 13 patients were included in the analysis. Epiphora and palpable mass lesion were the presenting complaint in 84.6% (11/13) of the patients. Nearly half of the patients (46.1%, 6/13) were misdiagnosed as lacrimal duct obstruction. All the lacrimal sac tumors in the present series showed uneven enhancement on T1-weighted MRI imaging. Postoperatively, 84.6% (11/13) patients recovered well with excellent esthetics and were disease-free after a mean follow-up of 58.6 months. Two patients who underwent additional exenteration developed recurrence and succumbed (at 41 and 96 months follow up) while they were on palliative chemoradiation. CONCLUSION: The endoscopic-assisted modified Weber-Fergusson surgical approach is effective in providing better visibility and accessibility to lacrimal sac tumors with extension into neighboring tissue.

Evaluation of primary acquired nasolacrimal duct obstruction: Comparison of CT-DCG and dacryoendoscopy in accurately localizing the lacrimal drainage obstructions.

OBJECTIVE: To correlate and evaluate the power and limitations of CT-DCG in determining the level and type of lacrimal duct obstruction in comparison to dacryoendoscopy in patients clinically suspected to be having partial or complete primary acquired nasolacrimal duct obstruction (PANDO). METHODS: A retrospective chart review was performed on 1232 lacrimal drainage systems of 957 patients who suffered from primary acquired nasolacrimal duct obstruction (PANDO) at Shanghai Ninth People's Hospital. Patients were examined with CT-DCG and correlated with dacryoendoscopy and the findings of clinical examination. RESULTS: Of the studied patients, 173 were men and 784 were women with an age range of 18-93 years. Of the 1232 lacrimal pathways, good CT-DCG images could be obtained in 980 cases and dacryoendoscopy in 957 cases. Of these complete obstructions were noted in 81% (794/980), and partial obstructions were identified in 19% (186/980) with CT-DCG. CT-DCG and dacryoendoscopy showed 68.4% agreement for the type of the obstruction and 63% for the level of the obstruction. The majority of the obstructions occurred at the sac-duct junction (62.5%) followed by the upper half of the nasolacrimal duct (27.5%). There was a significant difference in the correlation of the obstruction type with age group and with the duration of symptoms. As the duration of symptoms increased, the proportion of complete lacrimal duct obstructions as shown on CT-DCG images increased and the proportion of incomplete obstruction decreased (p = 0.015). CONCLUSIONS: The junction of lacrimal sac and nasolacrimal duct was the most common obstruction site. Age and the duration of symptoms influenced the type of obstruction noted. The degree and level of agreement between the investigations was moderate. A combination of CT-DCG and Dacryoendoscopy could together identify the location more accurately.

A novel method of measuring proptosis with computed tomography.

BACKGROUND: Computed tomography (CT) can avoid interference factors and has been imported into some software to measure proptosis clinically as the golden standard. PURPOSE: To establish a new method for semi-automatically measuring the proptosis on CT and evaluate its accuracy and reproducibility. MATERIAL AND METHODS: A total of 50 orbital CT images were collected of healthy individuals, 25 patients with Graves ophthalmopathy (GO), and 25 patients with orbital fracture (OF). A new image processing software, MedrawHDC, was developed to semi-automatically measure the proptosis (MedrawHDC method). The classic radiological (CR) method (measuring proptosis with the software called Mimics) and MedrawHDC method were applied in all three groups (measured by observer S). Hertel's exophthalmometer (HE) method was also applied in the GO group. Moreover, two other observers were asked to measure the proptosis using MedrawHDC, to evaluate its reproducibility. RESULTS: The MedrawHDC method was highly consistent with the CR method in measuring proptosis (normal group: intraclass correlation coefficient [ICC] = 0.989; GO group: ICC = 0.979; OF group: ICC = 0.979). In the GO group, the value of proptosis measured by two radiological methods were consistent with that measured by the HE method (CR method: ICC = 0.703; MedrawHDC method: ICC = 0.697). Bland-Altman plots showed similar results. The measurements obtained by three observers were highly reproducible (ICC = 0.995). CONCLUSION: The newly established MedrawHDC method, with high accessibility, convenience, and repeatability, is reliable in assessing proptosis. It shows high potential for wide application, having clinical value for scientific evaluation of proptosis.

Prognostic factors of traumatic optic neuropathy based on multimodal analysis-Especially the influence of postoperative dressing change and optic nerve blood supply on prognosis.

Objective: To investigate the critical prognostic factors of patients with traumatic optic neuropathy (TON) treated with endoscopic transnasal optic canal decompression (ETOCD) and to perform multimodal analysis based on imaging examinations of optical coherence tomography angiography (OCTA) and CT scan. Subsequently, a new prediction model was established. Methods: The clinical data of 76 patients with TON who underwent decompression surgery with the endoscope-navigation system in the Department of Ophthalmology, Shanghai Ninth People's Hospital from January 2018 to December 2021 were retrospectively analyzed. The clinical data included demographic characteristics, reasons for injury, interval between injury and surgery, multimode imaging information of CT scan and OCTA, including orbital fracture, optical canal fractures, vessel density of optic disc and macula, and the times of postoperative dressing change. Binary logistic regression was used to establish a model for best corrected visual acuity (BCVA) after treatment as a predictor of TON outcome. Results: Postoperative BCVA improved in 60.5% (46/76) patients and did not improve in 39.5% (30/76) patients. The times of postoperative dressing change had a significant impact on the prognosis. Other factors affecting the prognosis were microvessel density of the central optic disc, the cause of injury, and the microvessel density above the macula. The area under the raw current curves of the predictive model was 0.7596. Conclusions: The times of dressing changes after the operation, i.e., continuous treatment, is the key factor affecting prognosis. The microvessel density in the center of the optic disc and superior macula, quantitatively analyzed by OCTA, is the prognostic factor of TON and may be used as a prognostic marker of TON.

Long-term outcomes of a new anatomy-based method for finding the medial cut end during late canalicular repair.

BACKGROUND: Locating the medial cut end during late repair of canalicular lacerations can be challenging. OBJECTIVE: The aim of this study was to evaluate the effectiveness and long-term outcomes of a new anatomy-based method for solving the problem of locating the medial cut end. METHODS: This retrospective interventional study included 85 eyes of 85 consecutive adult patients with unilateral inferior canalicular lacerations who underwent late primary (≥2 days after injury) or secondary (≥6 months after initial treatment) surgery. Before surgery, the lacerations were classified as lateral, central, or medial according to the 'distance from the punctum to the distal end' of the lacerated inferior canaliculus. The time spent to locate the proximal lacerated end (TSL) was recorded. All patients were followed up for ≥1 year to evaluate the lacrimal passage patency and the distance between the superior and inferior punctum (DBSIP, to assess cosmesis). RESULTS: There were 16 (18.82%) lateral-type, 55 (64.71%) central-type, and 14 (16.47%) medial-type canalicular lacerations. The TSL was 3.48 ± 1.05 (range 0.9-6.8) min for all patients and differed significantly among the three types of canalicular lacerations (P < 0.001). Lacrimal irrigation showed patent lacrimal passages in 69 patients (81.18%) at 3 months and a further 4 patients (4.71%) at 6 months, residual stenosis without obstruction in 5 patients (5.88%), and obstruction in 7 patients (8.24%). The postoperative DBSIP on the affected side was shorter than the preoperative DBSIP (2.66 ± 0.66 vs. 3.09 ± 1.72 mm, P = 0.006) and comparable to that on the unaffected side (2.78 ± 0.40 mm). CONCLUSION: Our new anatomy-based method is efficient and achieves good long-term outcomes for all types of late canalicular repair.

Explainable Prediction of Dacryocystitis From Noninvasive Ocular Indicators Using Deep Stacked Network and The Shapley Additive Explanations Approach.

ABSTRACT: Dacryocystitis diagnosis is important for preventing rapid blurring and vision loss. Existing state-of-the-art methods focus on routine clinical examinations and objective scattering index-based statistical analysis. Such approaches are invasive operations or lack quantitative indicators, and their application is limited. in addition, little attention has been paid to the explainability and clinical utility of models. This paper proposes an explainable dacryocystitis prediction model from noninvasive ocular indicators. The proposed model is based on an deep stacked network with 4 improvements: a multivariable feature extraction module, obtaining comprehensive predictive factors including the quantitative ocular indictors, conventional texture features, and deep learning features from shallow to deep convolutional layers; a multifeature fusion and attribute selection module based on the ReliefF method, guiding the network to focus on useful information at variables; Decision curve analysis the model is introduced into the model to evaluates the risks and benefits; and appending a SHapley Additive exPlanations (SHAP) module to the framework to automatically and efficiently interpret the prediction of the models. By integrating the above improvements in series, the models' performances are gradually enhanced. Real labeled data samples are used to train and test the model, and our model achieves high accuracy and reliability.

Noninvasive Machine Learning Screening Model for Dacryocystitis Based on Ocular Surface Indicators.

BACKGROUND: Dacryocystitis is an orbital disease that can be easily misdiagnosed. The most common diagnostic tools for dacryocystitis are computed tomography, lacrimal duct angiography, and lacrimal tract irrigation. Yet, those are invasive methods, which are not conducive to extensive screening. OBJECTIVE: To explore the significance of ocular surface indicators and demographic data in the screening of dacryocystitis. MATERIALS AND METHODS: Data were prospectively collected from 56 patients with dacryocystitis (56 eyes) and 56 healthy individuals. Collected indicators included demographic information (gender, age), ocular surface data of tear meniscus height, objective scatter index (OSI), and clinical diagnosis. The model features were screened out by machine learning to establish a dacryocystitis screening model. RESULTS: Tear meniscus height, OSI_maximum Lyapunov exponent, basic OSI, median of OSI, mean of OSI, slope coefficient of OSI linear regression, coefficient of variation in OSI, interquartile range of OSI, and other 8 parameters were used as model parameters to establish a dacryocystitis screening model with an overall detection accuracy of 85.71%. CONCLUSIONS: This new screening model that is based on ocular surface indicators provides a new option for noninvasive screening of dacryocystitis.

Novel observational study protocol to develop a prediction model that identifies patients with Graves' ophthalmopathy insensitive to intravenous glucocorticoids pulse therapy.

INTRODUCTION: Intravenous glucocorticoids pulse therapy is the first-line treatment for moderate-to-severe and active Graves' ophthalmopathy, with a large proportion of patients having poor efficacy and exposed to the risk of glucocorticoids adverse effects. We introduce a novel protocol to develop a prediction model designed to identify patients with Graves' ophthalmopathy who are not likely to benefit from intravenous glucocorticoids pulse therapy before administration, so that these patients can advance the time to receive appropriate treatment. Existing prediction models for prognosis of Graves' ophthalmopathy have usually focused on traditional clinical indicators without adequate consideration of orbital soft tissue changes. Our protocol for model development will address this limitation by using artificial intelligence models to quantify facial morphological changes. METHODS AND ANALYSIS: This study is a single-centre, prospective and observational study. A sample size of 278 patients with moderate-to-severe and active Graves' ophthalmopathy will be prospectively recruited at ophthalmology clinic of Shanghai Ninth People's Hospital to collect clinical and artificial intelligence model's baseline data as potential variables to develop the prediction model. They will receive 12-week intravenous glucocorticoids pulse therapy according to the 2021 European Group on Graves' Orbitopathy treatment guideline. After standard medication course and following 12-week observation, patients will be evaluated for the effectiveness of treatment in our ophthalmology clinic and divided into glucocorticoids-sensitive and glucocorticoids-insensitive groups. The model will be developed by means of multivariate logistic regression to select the best variables for the prediction of glucocorticoids treatment efficacy before administration. The result of the study will provide evidence for the use of a prediction model to personalise treatment options for patients with moderate-to-severe and active Graves' ophthalmopathy. ETHICS AND DISSEMINATION: The study received approval from the Ethics Committee of Shanghai Ninth People's Hospital (ethical approval number: SH9H-2020-T211-1. Findings will be disseminated via peer-reviewed publications and conference presentations. TRIAL REGISTRATION NUMBER: ChiCTR2000036584 (Pre-results).

Predictors for Surgeries With the Endoscope-Navigation System for Traumatic Optic Neuropathy and its Clinical Assessment.

BACKGROUND: To assess surgeries with the endoscope-navigation system (ENS) in patients who underwent traumatic optic neuropathy (TON) and find predictors for best corrected visual acuity (BCVA) outcomes. METHODS: The clinical data of 96 consecutive TON patients (96 eyes) who underwent decompression surgery with ENS in the Department of Ophthalmology, Shanghai Ninth People's Hospital, from January 2013 to December 2019 were retrospectively reviewed and analyzed. A binary logistic regression was performed to establish a predictive model for BCVA after treatment as TON outcome. RESULTS: By practicing ENS, 49/96 (51.0%) TON patients got improvement in BCVA, whereas the improvement rate of patients with BCVA of light perception or better was 72.5% (29/40). Hemorrhage within the postethmoid and/or sphenoid sinus, orbital fracture, time interval between trauma and treatment, and BCVA before treatment were predictors for BCVA improvement in TON patients by practicing ENS surgery. The area under raw current curves of the predictive model was 0.826. CONCLUSIONS: Surgeries with the ENS showed positive outcomes for TON patients, especially for those with better BCVA before treatment, shorter time interval between trauma and treatment, without orbital fracture or hemorrhage within the postethmoid and/or sphenoid sinus.

Cathelicidin LL37 Promotes Osteogenic Differentiation in vitro and Bone Regeneration in vivo.

Different types of biomaterials have been used to repair the defect of bony orbit. However, exposure and infections are still critical risks in clinical application. Biomaterials with characteristics of osteogenesis and antibiosis are needed for bone regeneration. In this study, we aimed to characterize the antimicrobial effects of cathelicidin-LL37 and to assess any impacts on osteogenic activity. Furthermore, we attempted to demonstrate the feasibility of LL37 as a potential strategy in the reconstruction of clinical bone defects. Human adipose-derived mesenchyme stem cells (hADSCs) were cultured with different concentrations of LL37 and the optimum concentration for osteogenesis was selected for further in vitro studies. We then evaluated the antibiotic properties of LL37 at the optimum osteogenic concentration. Finally, we estimated the efficiency of a PSeD/hADSCs/LL37 combined scaffold on reconstructing bone defects in the rat calvarial defect model. The osteogenic ability on hADSCs in vitro was shown to be dependent on the concentration of LL37 and reached a peak at 4 µg/ml. The optimum concentration of LL37 showed good antimicrobial properties against Escherichia coli and Staphylococcus anurans. The combination scaffold of PSeD/hADSCs/LL37 showed superior osteogenic properties compared to the PSeD/hADSCs, PSeD, and control groups scaffolds, indicating a strong bone reconstruction effect in the rat calvarial bone defect model. In Conclusion, LL37 was shown to promote osteogenic differentiation in vitro as well as antibacterial properties. The combination of PSeD/hADSCs/LL37 was advantageous in the rat calvarial defect reconstruction model, showing high potential in clinical bone regeneration.

Biomimetic nanofibrous hybrid hydrogel membranes with sustained growth factor release for guided bone regeneration.

Bone regeneration, a complex physiological process, remains a challenge due to the susceptibility to the environment and absence of osteogenic growth factors around the defect region. Although autologous bone grafting is regarded as the gold standard for bone defect treatment, guided bone regeneration membranes in combination with multiple functional growth factors show a striking regeneration effect. Here, a biomimetic nanofibrous hybrid hydrogel composed of bacterial cellulose membranes and alginate/CaCl2 for sustained growth factor delivery was developed. The antibacterial peptide beta-defensin 2 served as an antibacterial, osteogenic, and angiogenic growth factor and was loaded into the aforementioned hydrogel. The mechanical and physical properties of the biomimetic nanofibrous hybrid hydrogel were investigated. Then, the in vitro osteogenic and angiogenic differentiation was confirmed by alkaline phosphatase (ALP) activity, Alizarin Red S staining, qPCR, western blot analysis and tube formation assays. After implantation into a rat calvarial defect model for 12 weeks, nanofibrous hybrid hydrogel membranes could adhere to the defect surface and promote new bone and vessel regeneration.

Detection of active and inactive phases of thyroid-associated ophthalmopathy using deep convolutional neural network.

BACKGROUND: This study aimed to establish a deep learning system for detecting the active and inactive phases of thyroid-associated ophthalmopathy (TAO) using magnetic resonance imaging (MRI). This system could provide faster, more accurate, and more objective assessments across populations. METHODS: A total of 160 MRI images of patients with TAO, who visited the Ophthalmology Clinic of the Ninth People's Hospital, were retrospectively obtained for this study. Of these, 80% were used for training and validation, and 20% were used for testing. The deep learning system, based on deep convolutional neural network, was established to distinguish patients with active phase from those with inactive phase. The accuracy, precision, sensitivity, specificity, F1 score and area under the receiver operating characteristic curve were analyzed. Besides, visualization method was applied to explain the operation of the networks. RESULTS: Network A inherited from Visual Geometry Group network. The accuracy, specificity and sensitivity were 0.863±0.055, 0.896±0.042 and 0.750±0.136 respectively. Due to the recurring phenomenon of vanishing gradient during the training process of network A, we added parts of Residual Neural Network to build network B. After modification, network B improved the sensitivity (0.821±0.021) while maintaining a good accuracy (0.855±0.018) and a good specificity (0.865±0.021). CONCLUSIONS: The deep convolutional neural network could automatically detect the activity of TAO from MRI images with strong robustness, less subjective judgment, and less measurement error. This system could standardize the diagnostic process and speed up the treatment decision making for TAO.

Automatic orbital computed tomography coordinating method and quantitative error evaluation based on signed distance field.

BACKGROUND: Orbital computed tomography (CT) is commonly used for the diagnosis and digital evaluation of orbital diseases. Yet, this approach requires longer scanning time, increased radiation exposure, and, especially, difficult patient positioning that can affect judgment and data processing. According to high-quality research on orbital imaging, computer-assisted surgery, and artificial intelligent diagnostic development, the correction of a coordinate system is a necessary procedure. Nevertheless, existing manual calibration methods are challenging to reproduce and there is no objective evaluation system for errors. PURPOSE: To establish a method for automatic calibration of orbital CT images and implementation of quantitative error evaluation. MATERIAL AND METHODS: A standard three-dimensional (3D) orbit model was manually adjusted, and optimized orbital models were reconstructed based on the initial registration of the skull-bound directed bounding box and the registration of the mutual information method. The calibration error was calculated based on the signed distance field. Seventeen cases of orbital CT were quantitatively evaluated. RESULTS: A new method for automatic calibration and quantitative error evaluation for orbital CT was established. The calibrated model error with ±2 mm accounted for 81.61% ± 6.91% of the total models, and the error of ±1 mm accounted for 53.49% ± 7.07% of the total models. CONCLUSION: This convenient tool for orbital CT automatic calibration may promote the related quantitative research based on orbital CT. The automated operation and small error are beneficial to the popularization and application of the tool, and the quantitative evaluation facilitates other coordinate systems.

Artificial intelligence CT screening model for thyroid-associated ophthalmopathy and tests under clinical conditions.

PURPOSE: Thyroid-associated ophthalmopathy (TAO) might lead to blindness and orbital deformity. The early diagnosis and treatment are conducive to control disease progression, but currently, there is no effective screening method. The present study aimed to introduce an artificial intelligence (AI) model for screening and testing the model with TAO patients under clinical conditions. METHODS: A total of 1435 computed tomography (CT) scans were obtained from the hospital. These CT scans were preprocessed by resampling and extracting the region of interest. CT from 193 TAO patients and 715 healthy individuals were adopted for three-dimensional (3D)-ResNet model training, and 49 TAO patients and 178 healthy people were adopted for external verification. Data from 150 TAO patients and 150 healthy people were utilized for application tests under clinical conditions, including non-inferiority experiments and diagnostic tests, respectively. RESULTS: In the external verification of the model, the area under the receiver operating characteristic (ROC) curve (AUC) was 0.919, indicating a satisfactory classification effect. The accuracy, sensitivity, and specificity were 0.87, 088, and 0.85, respectively. In non-inferiority experiments: the accuracy was 85.67% in the AI group and 84.33% in the resident group. The model passed both non-inferiority experiments (p = 0.001) and diagnostic test (the AI group sensitivity = 0.87 and specificity = 0.84%). CONCLUSIONS: A promising orbital CT-based TAO screening AI model was established and passed application tests under clinical conditions. This may provide a new TAO screening tool with further validation.

Surgical procedure of canaliculoplasty in the treatment of primary canaliculitis associated with canalicular dilatation.

BACKGROUND: Primary canaliculitis is a chronic infection of the proximal lacrimal pathway. We aimed to evaluate surgical outcomes of a canaliculoplasty procedure for primary canaliculitis associated with canalicular dilatation. METHODS: This study enrolled 42 primary canaliculitis patients with canalicular dilatation who underwent canaliculoplasty. All patients were treated with canaliculotomy, curettage of canalicular contents and canaliculoplasty with stent placement. Patients' demographics, clinical features, and follow-up outcomes were evaluated. RESULTS: There were 12 males and 30 females with a mean age of 66.1 ± 13.9 years. The mean duration time from the first onset of signs/symptoms to diagnosis was 30.6 ± 39.5 months. Epiphora (90.5%) and mucopurulent discharge from punctum (85.7%) were the most common signs. Thirty-three out of 42 patients (78.6%) achieved complete remission with a mean follow-up time of 25.3 ± 12.9 months. There were 3 patients found to have canalicular stenosis due to obstruction after surgery. CONCLUSION: Canalicular dilatation is a severe condition of primary canaliculitis, probably due to a combined result of long standing disease and the presence of concretions. The surgical procedure of canaliculoplasty can be a highly effective treatment for primary canaliculitis associated with canalicular dilatation.

Nomogram for Preoperative Estimation of Orbit Invasion Risk in Periocular Squamous Cell Carcinoma.

Importance: Orbital invasion occurs in some periocular squamous cell carcinoma (SCC), compromising surgical outcomes, and prognoses of patients. To date, however, there are no validation studies on the clinical features related to orbital invasion in patients with periocular SCC. Objective: To explore clinical features that may be associated with orbital invasion and build a model for predicting the risk of orbital invasion. Design, Setting, and Participants: In this retrospective mono-center case-control study, 90 patients with periocular SCC were treated at the Ninth People's Hospital Shanghai Jiao Tong University School of Medicine from January 2005 to August 2019. "Case" is defined as a SCC patient with orbit invasion prior to operation. "Exposure" is defined as the different sites of lesion. Main Outcomes and Measures: Clinical features, including "time to relapse after surgery," were collected. Multivariate logistic regression analysis was applied to identify the independent risk clinical features associated with orbital invasion, which was then incorporated into a nomogram. Results: Of the 90 patients included in this study, 33 patients (36.7%) had orbital invasion. 14 of the 33 orbit-invasive patients had local recurrence, while 11 of 57 orbit non-invasive patients had local recurrence, suggesting that orbital invasion is a risk factor for local recurrence. The multivariate binary logistic regression indicated that the lesions at the medial canthus [odds ratio (OR), 5.024, 95% CI, 1.409-17.912, P = 0.013], the age at diagnosis (10-years intervals; OR, 0.590, 95% CI, 0.412-0.844, P = 0.004), and bleeding in the lesion (OR, 3.480, 95% CI, 1.254-9.660, P = 0.017) were three preoperative clinical features significantly associated with orbital invasion. Conclusion: For periocular SCC, lesions at the medial canthus, the younger age of the patients at diagnosis, and bleeding in the lesion were the three main clinical features associated with orbital invasion. The risk score model for orbital invasion can act as a supportive tool for optimized clinical evaluation and treatment decisions.

Effect of Bifunctional ß Defensin 2-Modified Scaffold on Bone Defect Reconstruction.

Bone tissue engineering has emerged as an effective alternative treatment to the problem of bone defect. To repair a bone defect, antibiosis and osteogenesis are two essential aspects of the repair process. By searching the literature and performing exploratory experiments, we found that ß defensin 2 (BD2), with bifunctional properties of antibiosis and osteogenesis, was a feasible alternative for traditional growth factors. The antimicrobial ability of BD2 against Staphylococcus aureus and Escherichia coli was studied by the spread plate and live/dead staining methods (low effective concentration of 20 ng/mL). BD2 was also demonstrated to enhance osteogenesis, with higher messenger RNA (mRNA) and protein expression of the osteogenic markers collagen I (Col1), runt-related transcription factor 2 (Runx2), osteopontin (Opn), and osteocalcin (Ocn) in vitro (1.5-2.5-fold increase compared with the control group in the most effective concentration group), which was consistent with the alkaline phosphatase (ALP) and alizarin red S (ARS) staining results. We implanted poly(sebacoyl diglyceride) (PSeD) combined with BD2 and rat bone tissue-derived mesenchymal stem cells (rBMSCs) under the back skin of rats and found that the inflammatory response was significantly lower with this combination than with the PSeD/rBMSCs scaffold without BD2 and the pure PSeD group and was similar to the control group. Importantly, when assessed in a critical-sized in vivo rat 8 m diameter calvaria defect model, a scaffold we developed combining bifunctional BD2 with porous organic polymer displayed an osteogenic effect that was 160-200% greater than the control group. The in vivo study results revealed a significant osteogenic response and antimicrobial effect and were consistent with the in vitro results. In summary, BD2 displayed a great potential of simultaneously promoting bone regeneration and preventing infection and could provide a viable alternative to traditional growth factors applied in bone defect repair.

Deep Convolutional Neural Networks for Automatic Detection of Orbital Blowout Fractures.

Orbital blow out fracture is a common disease in emergency department and a delay or failure in diagnosis can lead to permanent visual changes. This study aims to evaluate the ability of an automatic orbital blowout fractures detection system based on computed tomography (CT) data.Orbital CT scans of adult orbital blowout fractures patients and normal cases were obtained from Shanghai Ninth People's Hospital between January and March 2017. The region of fractures was annotated using 3D Slicer. The Inception V3 convolutional neural networks were constructed utilizing the Python programming language with PyTorch as the framework to extract high dimension features from each slice in a CT scan. These extracted features are processed through a XGBoost model to make the final differentiation of fracture cases and nonfracture ones. Accuracy, receiver operating characteristics, and area under the curve were evaluated.This study used 94 CT scans diagnosed with orbital blowout fractures and 94 healthy control cases. The automatic detection system showed accuracy of 92% in single-image classification and 87% in patient level detection. The area under the receiver operating characteristic curve was 0.9574.Using a deep learning-based automatic detection system of orbital blowout fracture can accurately detect and classify orbital blowout fractures from CT scans. The convolutional neural networks model combined with an accurate annotation system could achieve good performance in a small dataset. Further studies with large and multicenter data are required to refine this technology for possible clinical applications.