Clinical, histopathological characteristics and malignant transformation of proliferative verrucous leukoplakia with 36 patients: a retrospective longitudinal study.

BACKGROUND: Proliferative verrucous leukoplakia (PVL), distinguished by its malignant transformation rate of 43.87% to 65.8%, stands as the oral potentially malignant disorder with the highest propensity for malignancy. PVL is marked by distinctive heterogeneity regarding the clinical or histopathological characteristics as well as prognostic factors pertinent to this condition. The purpose of this study is to compile and assess the clinicopathological features, malignant transformation, and associated risk factors in patients diagnosed with PVL. METHODS: This study is a hospital-based retrospective longitudinal study of 36 patients diagnosed with PVL from 2013 to 2023. We conducted complete clinical and histopathological evaluations of the patients. RESULTS: The cohort comprised 16 males and 20 females, yielding a male-to-female ratio of 1:1.25. The follow-up period ranged from 8 to 125 months, with an average of 47.50 months. The most common clinical type of lesion was the verrucous form (58.33%), and the gingiva was the most common site (44.44%). Each patient had between 2 to 7 lesions, averaging 3.36 per patient. During the follow-up period, twelve patients (33.3%) developed oral cancer, with an average time to malignant transformation of 35.75 months. Kaplan-Meier survival analysis indicated that patients with complaints of pain, roughness, or a rough sensation, with diabetes, and the presence of cytologic atypia histologically showed a higher risk of malignant transformation (p < 0.05). In this study, the rate of malignant transformation in the treatment group (5/23) was lower than that in the untreated group (7/13), however, no statistically significant difference (p = 0.05). CONCLUSION: The main complaints of pain, roughness, or foreign body sensation, coupled with cytologic atypia histologically are indicative of an increased risk of malignant transformation in PVL. Further research is needed to elucidate the influence of these clinicopathological parameters on the malignant progression of PVL.

Inflammatory endotypes of adenoidal hypertrophy based on a cluster analysis of biomarkers.

OBJECTIVE: To identify adenoid inflammatory endotypes based on inflammatory markers, match endotypes to phenotypes, and predict endotypes. METHODS: This cross-sectional study included 72 children with adenoid hypertrophy. Thirteen inflammatory markers and total immunoglobulin E (TIgE) in adenoid tissue were analyzed using Luminex and enzyme-linked immunosorbent assay (ELISA) for performing cluster analysis. Correlation analysis was used to examine the characteristics of each cluster. Receiver operating characteristic (ROC) curve analysis was performed to screen for preoperative characteristic data with predictive value for adenoid inflammation endotype. RESULTS: The patients were divided into four clusters. Cluster 1 exhibited non-type 2 signatures with low inflammatory marker concentrations, except for the highest expression of Th1-related cytokines. Cluster 2 showed a non-type 2 endotype with the highest concentration of interleukin (IL)-17A and IL-22. Cluster 3 exhibited moderate type 2 inflammation, with the highest concentration of neutrophil factors. Cluster 4 demonstrated significant type 2 inflammation and moderate neutrophil levels. The proportions of AR and serum TIgE levels increased from clusters 1 to 4, and there was a gradual increase in the prevalence of chronic sinusitis from low to high neutrophilic inflammation. The area under the ROC curve for serum TIgE was higher than those for combined or other separate preoperative characteristics for predicting non-type 2 and type 2 inflammation in the adenoid tissue. CONCLUSIONS: The evaluation of cytokines in adenoid tissue revealed four endotypes. Serum TIgE level was an important indicator of the endotype of adenoid inflammation. Identification of adenoid inflammatory endotypes can facilitate targeted treatment decisions.

Role of Transarterial Chemoembolization in the Era of Tyrosine Kinase Inhibitor and Immune Checkpoint Inhibitor Combination Therapy for Unresectable Hepatocellular Carcinoma: A Retrospective Propensity Score Matched Analysis.

RATIONALE AND OBJECTIVES: As an effective locoregional therapy, transarterial chemoembolization (TACE) can induce vascular endothelial growth factor and PD-1/PDL-1 upregulation, accompanied by a reduction in tumor burden. The present study aimed to compare the efficacy of TACE combined with tyrosine kinase inhibitors (TKIs) plus immune checkpoint inhibitors (ICIs) (TACE-TKI-ICIs) versus TKIs plus ICIs (TKI-ICIs) in patients with unresectable hepatocellular carcinoma (HCC). MATERIALS AND METHODS: The clinical data of 198 patients diagnosed with unresectable HCC who received a TKI (lenvatinib or sorafenib) plus an ICI (sintilimab or camrelizumab) with or without TACE were retrospectively reviewed between October 2019 and April 2022. Baseline characteristics of the TACE-TKI-ICI group and the TKI-ICI group were matched by propensity score matching in a 1:1 ratio. The tumor response, progression-free survival (PFS), and overall survival (OS) were evaluated and compared between the two groups. RESULTS: After matching, 54 patients were enrolled in each group. The objective response rate (ORR) and disease control rate (DCR) were higher in the TACE-TKI-ICI group (ORR: 63.0% vs. 29.6%, P < 0.001; DCR: 85.2% vs. 53.7%, P < 0.001). The median PFS was significantly longer in the TACE-TKI-ICI group (9.9 vs. 5.8 months; P = 0.026). The median OS between the two groups also reached a significant difference (not reached vs. 18.5 months; P = 0.003). CONCLUSION: In this retrospective study, the results indicated that the addition of TACE to TKI-ICI therapy could contribute to better tumor control, PFS, and OS benefits in patients with unresectable HCC.

Compositional and functional changes in the salivary microbiota related to oral leukoplakia and oral squamous cell carcinoma: a case control study.

BACKGROUND: Oral squamous cell carcinoma (OSCC) is one of the most common malignant tumours with increasing incidence, and oral leukoplakia (OLK) has a strong tendency to undergo malignant transformation. The oral microbiota may influence oral cancer progression, but the salivary bacterial composition and functional changes in OSCC and OLK have not been comprehensively elucidated. Therefore, we compared salivary bacteria in OLK and OSCC patients with healthy controls (HC). METHODS: Metagenomic sequencing was used to compare the bacterial composition and functional changes of 18 OSCC patients, 21 OLK patients and 21 HC. Spearman correlation was used to identify possible associations between functions and bacteria. RESULTS: Gemella was the most differentially enriched genus in OSCC. At the species level, Streptococcus sp. NPS 308, Streptococcus agalactiae, Gemella haemolysans and Gemella morbillorum were slightly increased in OLK and OSCC. Kyoto Encyclopedia of Genes and Genomes (KEGG) results showed that OSCC was mainly associated with metabolism functions, including lipid metabolism, carbohydrate metabolism and glycan biosynthesis and metabolism. The synthesis and degradation of ketone bodies, cysteine and methionine metabolism and glycerolipid metabolism differed significantly among the three groups, and were highest in OSCC and lowest in HC. And G. haemolysans was significantly associated with these selected metabolic pathways. CONCLUSIONS: Metagenomic analysis revealed significant differences in the salivary microbiota among OSCC, OLK and HC. Thus, salivary microbiota composition and functional changes may be associated with OSCC progression. Metabolism of nonessential amino acids such as cysteine and methionine in bacteria may play an important role in oral oncogenesis, and more studies of the mechanism between metabolisms of bacteria and oral oncogenesis are needed in the future.

The global prevalence of oral leukoplakia: a systematic review and meta-analysis from 1996 to 2022.

BACKGROUND: Oral leukoplakia(OLK) is a common oral potentially malignant disorder. The global prevalence of solely OLK was published in 2003, while the prevalence varied among different studies. In recent years, large-scale summary and definition-related analyses obtain insufficient attention. This study aimed to perform a systematic review of prevalence studies of oral leukoplakia and assess predisposing factors of its occurrence. METHODS: The search terms ("Oral leukoplakia" OR OLK OR leukoplakia) AND (prevalence OR incidence OR epidemiology) were searched in databases (Pubmed, Embase, Scopus, and Web of Science) for OLK studies published from January 1996 until December 2022. The estimated prevalence calculation and risk of bias analysis used STATA 16.0. RESULTS: We obtained 69 studies, including 1,263,028 participants, from 28 countries, and 6 continents. The prevalence was 1.39%, varying from 0.12 to 33.33%. The overall pooled estimated prevalence of OLK was 2.23% for population-based studies, 1.36% for clinic-based population studies, and 9.10% for specific populations. The pooled prevalence in different continents ranged from 0.33 to 11.74% with a statistical difference in the population-based calculation. The estimated prevalence of OLK was higher in males than in females. Those who smoked and consumed alcohol had a higher prevalence than those who did not. CONCLUSION: Combining data from 69 published studies, the prevalence of OLK was determined as 1.39% and the pooling estimated global prevalence was 3.41%. The prevalence was relatively consistent and stable across different continents and different definitions. A higher pooled estimated prevalence was found among males, those aged over 60 years old, smokers, and alcohol consumers. The results from the included studies in this systematic review revealed that the prevalence was relatively consistent and stable across various definitions and continents, which may help in developing global treatment and prevention strategies for oral leukoplakia.

A biocompatible pure organic porous nanocage for enhanced photodynamic therapy.

Porphyrin-based photosensitizers have been widely utilized in photodynamic therapy (PDT), but they suffer from deteriorating fluorescence and reactive oxygen species (ROS) due to their close π-π stacking. Herein, a biocompatible pure organic porphyrin nanocage (Py-Cage) with enhanced both type I and type II ROS generation is reported for PDT. The porphyrin skeleton within the Py-Cage is spatially separated by four biphenyls to avoid the close π-π stacking within the nanocage. The Py-Cage showed a large cavity and high porosity with a Brunauer-Emmett-Teller surface area of over 300 m2 g-1, facilitating a close contact between the Py-Cage and oxygen, as well as the fast release of ROS to the surrounding microenvironment. The Py-Cage shows superb ROS generation performance over its precursors and commercial ones such as Chlorin E6 and Rose Bengal. Intriguingly, the cationic π-conjugated Py-Cage also shows promising type I ROS (superoxide and hydroxyl radicals) generation that is more promising for hypoxic tumor treatment. Both in vitro cell and in vivo animal experiments further confirm the excellent antitumor activity of the Py-Cage. As compared to conventional metal coordination approaches to improve PDT efficacy of porphyrin derivatives, the pure organic porous Py-Cage demonstrates excellent biocompatibility, which is further verified in both mice and rats. This work of an organic porous nanocage shall provide a new paradigm for the design of novel, biocompatible and effective photosensitizers for PDT.

Clinical, histological and direct immunofluorescence features in oral mucosal patches striae diseases with malignant potential.

Background/purpose: Oral mucosal patches striae diseases (OMPSD) represent an important category of oral mucosal disease, most of which may have malignant potential (OMPSD-MP). The differential diagnosis is challenging due to overlap of their clinical and pathological features. Materials and methods: 116 OMPSD-MP patients were included in this cross-sectional study from November 2019 to February 2021, including oral lichen planus (OLP), oral lichenoid lesions (OLL), discoid lupus erythematosus (DLE), oral submucous fibrosis (OSF) and oral leukoplakia (OLK). The general information, clinical manifestation, histopathological and direct immunofluorescence (DIF) features were statistically analyzed and compared. Results: OLP was the major type of OMPSD-MP (64.7%), followed by OLL (25.0%), OLK (6.0%), DLE (2.6%) and OSF (1.7%), which were pooled as non-OLP group for further assessment. They shared many clinical and histological features in common. The rate of clinical-pathological diagnosis concordance was 73.5% for OLP, and 76.7% for total OMPSD-MP. DIF positive rate was significantly higher in OLP group than non-OLP group (76.0% vs. 41.5%, P < 0.001), in which the deposition of fibrinogen (Fib) and IgM were most frequently found. Conclusion: A significant overlap in clinical and histopathological features of OMPSD-MP was found, while DIF could be useful in differential diagnosis. Fib and IgM might be important immunopathological factors in OLP, which need further exploration.

Deep learning for the prediction of residual tumor after radiotherapy and treatment decision-making in patients with nasopharyngeal carcinoma based on magnetic resonance imaging.

Background: Concurrent chemoradiotherapy (CCRT) and induction chemotherapy (IC) plus CCRT (IC + CCRT) are the main treatments for patients with advanced nasopharyngeal carcinoma (NPC). We aimed to develop deep learning (DL) models using magnetic resonance (MR) imaging to predict the risk of residual tumor after each of the 2 treatments and to provide a reference for patients to select the best treatment option. Methods: A retrospective study was conducted on 424 patients with locoregionally advanced NPC who underwent CCRT or IC + CCRT between June 2012 and June 2019 in the Renmin Hospital of Wuhan University. According to the evaluation of MR images taken 3 to 6 months after radiotherapy, patients were divided into 2 categories: residual tumor and non-residual tumor. Transferred U-net and Deeplabv3 neural networks were trained, and the better-performance segmentation model was used to segment the tumor area on axial T1-weighted enhanced MR images. Then, 4 pretrained neural networks for prediction of residual tumors were trained with CCRT and IC + CCRT datasets, and the performances of the models trained using each image and each patient as a unit were evaluated. Patients in the test cohort of CCRT and IC + CCRT datasets were successively classified by the trained CCRT and IC + CCRT models. Model recommendations were formed according to the classification and compared with the treatment decisions of physicians. Results: The Dice coefficient of Deeplabv3 (0.752) was higher than that of U-net (0.689). The average area under the curve (aAUC) of the 4 networks was 0.728 for the CCRT and 0.828 for the IC + CCRT models trained using a single image as a unit, whereas the aAUC for models trained using each patient as a unit was 0.928 for the CCRT and 0.915 for the IC + CCRT models, respectively. The accuracy of the model recommendation and the decision of physicians was 84.06% and 60.00%, respectively. Conclusions: The proposed method can effectively predict the residual tumor status of patients after CCRT and IC + CCRT. Recommendations based on the model prediction results can protect some patients from receiving additional IC and improve the survival rate of patients with NPC.

A case of herpes simplex virus and cytomegalovirus retinitis coinfection.

PURPOSE: To describe a case of a 64-year-old male presenting with cytomegalovirus (CMV) and herpes simplex virus (HSV) retinitis coinfection in the setting of Burkitt's lymphoma. METHODS: Case report including multimodal imaging and anterior chamber polymerase chain reaction results. RESULTS: This case highlights the importance of the clinical exam and maintaining high diagnostic suspicion for viral retinitis in immunocompromised patients. CONCLUSIONS: Aqueous fluid PCR can be a useful adjunctive test to distinguish and confirm a diagnosis of viral retinitis. Given the limited sample volume of aqueous biopsy, it is important to prioritize the order of PCR testing based on clinical suspicion of the causative agent.

Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued.

BACKGROUND: The purpose of this study was to explore whether incorporating the peritumoral region to train deep neural networks could improve the performance of the models for predicting the prognosis of NPC. METHODS: A total of 381 NPC patients who were divided into high- and low-risk groups according to progression-free survival were retrospectively included. Deeplab v3 and U-Net were trained to build segmentation models for the automatic segmentation of the tumor and suspicious lymph nodes. Five datasets were constructed by expanding 5, 10, 20, 40, and 60 pixels outward from the edge of the automatically segmented region. Inception-Resnet-V2, ECA-ResNet50t, EfficientNet-B3, and EfficientNet-B0 were trained with the original, segmented, and the five new constructed datasets to establish the classification models. The receiver operating characteristic curve was used to evaluate the performance of each model. RESULTS: The Dice coefficients of Deeplab v3 and U-Net were 0.741(95%CI:0.722-0.760) and 0.737(95%CI:0.720-0.754), respectively. The average areas under the curve (aAUCs) of deep learning models for classification trained with the original and segmented images and with images expanded by 5, 10, 20, 40, and 60 pixels were 0.717 ± 0.043, 0.739 ± 0.016, 0.760 ± 0.010, 0.768 ± 0.018, 0.802 ± 0.013, 0.782 ± 0.039, and 0.753 ± 0.014, respectively. The models trained with the images expanded by 20 pixels obtained the best performance. CONCLUSIONS: The peritumoral region NPC contains information related to prognosis, and the incorporation of this region could improve the performance of deep learning models for prognosis prediction.

The clinical and immunological characteristics related to salivary gland enlargement in primary Sjögren's syndrome: a retrospective cross-sectional study.

Background: Salivary gland enlargement (SGE) is one of the common manifestations in primary Sjögren's syndrome (pSS) patients who are first referred to the hospital of stomatology. Whether the characteristics of the pSS patients with SGE differ from those of the ones without SGE remains unclear. Therefore, this study aimed at investigating the clinical and immunological characteristics related to SGE in pSS, to provide a comprehensive understanding of the clinical phenotype of pSS with SGE. Methods: In this retrospective cross-sectional study, medical records of patients diagnosed with pSS from 2016 to 2021 were evaluated. The included patients were divided into the SGE and non-SGE groups. Patient data including general clinical data, radiographic and B-ultrasound examination data, and immunological data were extracted. Intergroup differences were analyzed using the chi-square test, Fisher's exact test, and non-parametric tests with SPSS 23.0. Binary logistic regression analysis was further performed to determine the factors related to SGE in pSS. Results: Two hundred and three patients with pSS were included, including 126 and 77 patients with and without SGE, respectively. Univariate analysis showed that compared to the non-SGE group, the SGE group was younger, had dry eye symptom for a longer duration, and had a higher proportion of patients with severe conditions on salivary gland radiography (P<0.05). Regarding immunological indicators, the levels of anti-Ro52, anti-SSA (Ro60), and anti-SSB antibodies; immunoglobulin (Ig)G; IgA; and rheumatoid factor (RF) and erythrocyte sedimentation rate (ESR) were significantly higher in the SGE group (P<0.05). Binary logistic regression analysis showed that younger age and high anti-Ro52 levels were independent factors related to SGE in pSS. Conclusions: SGE is highly consistent with increased immunological indicators, reflecting disease activity. pSS patients with SGE were younger than those without. Special attention should be paid to the changes in the anti-Ro52 level since it is an independent factor related to SGE in pSS.

Differentiation of eosinophilic and non-eosinophilic chronic rhinosinusitis on preoperative computed tomography using deep learning.

OBJECTIVES: This study aimed to develop deep learning (DL) models for differentiating between eosinophilic chronic rhinosinusitis (ECRS) and non-ECRS (NECRS) on preoperative CT. DESIGN: Axial spiral CT images were pre-processed and used to build the dataset. Two semantic segmentation models based on U-net and Deeplabv3 were trained to segment the sinus area on CT images. All patient images were segmented using the better-performing segmentation model and used for training and testing of the transferred efficientnet_b0, resnet50, inception_resnet_v2, and Xception neural networks. Additionally, we evaluated the performances of the models trained using each image and each patient as a unit. PARTICIPANTS: A total of 878 chronic rhinosinusitis (CRS) patients undergoing nasal endoscopic surgery at Renmin Hospital of Wuhan University (Hubei, China) between October 2016 to June 2021 were included. MAIN OUTCOME MEASURES: The precision of each model was assessed based on the receiver operating characteristic curve. Further, we analyzed the confusion matrix and accuracy of each model. RESULTS: The Dice coefficients of U-net and Deeplabv3 were 0.953 and 0.961, respectively. The average area under the curve and mean accuracy values of the four networks were 0.848 and 0.762 for models trained using a single image as a unit, while the corresponding values for models trained using each patient as a unit were 0.893 and 0.853, respectively. CONCLUSIONS: Combining semantic segmentation with classification networks could effectively distinguish between patients with ECRS and those with NECRS based on preoperative sinus CT images. Furthermore, labeling each patient to build a dataset for classification may be more reliable than labeling each medical image.

A Prediction Model Based on the Risk Factors Associated with Pathological Upgrading in Patients with Early-Stage Gastric Neoplasms Diagnosed by Endoscopic Forceps Biopsy.

Background/Aims: The discrepancies between the diagnosis of preoperative endoscopic forceps biopsy (EFB) and endoscopic submucosal dissection (ESD) in patients with early gastric neoplasm (EGN) exist objectively. Among them, pathological upgrading directly influences the accuracy and appropriateness of clinical decisions. The aims of this study were to investigate the risk factors for the discrepancies, with a particular focus on pathological upgrading and to establish a prediction model for estimating the risk of pathological upgrading after EFB. Methods: We retrospectively collected the records of 978 patients who underwent ESD from December 1, 2017 to July 31, 2021 and who had a final histopathology determination of EGN. A nomogram to predict the risk of pathological upgrading was constructed after analyzing subgroup differences among the 901 lesions enrolled. Results: The ratio of pathological upgrading was 510 of 953 (53.5%). Clinical, laboratorial and endoscopic characteristics were analyzed using univariable and binary multivariable logistic regression analyses. A nomogram was constructed by including age, history of chronic atrophic gastritis, symptoms of digestive system, blood high density lipoprotein concentration, macroscopic type, pathological diagnosis of EFB, uneven surface, remarkable redness, and lesion size. The C-statistics were 0.804 (95% confidence interval, 0.774 to 0.834) and 0.748 (95% confidence interval, 0.664 to 0.832) in the training and validation set, respectively. We also built an online webserver based on the proposed nomogram for convenient clinical use. Conclusions: The clinical value of identifying the preoperative diagnosis of EGN lesions is limited when using EFB separately. We have developed a nomogram that can predict the probability of pathological upgrading with good calibration and discrimination value.

Deep Learning for Predicting Distant Metastasis in Patients with Nasopharyngeal Carcinoma Based on Pre-Radiotherapy Magnetic Resonance Imaging.

IMPORTANCE: Accurate pre-treatment prediction of distant metastasis in patients with Nasopharyngeal Carcinoma (NPC) enables the implementation of appropriate treatment strategies for high-risk individuals. PURPOSE: To develop and assess a Convolutional Neural Network (CNN) model using pre-therapy Magnetic Resonance (MR) imaging to predict distant metastasis in NPC patients. METHODS: We retrospectively reviewed data of 441 pathologically diagnosed NPC patients who underwent complete radiotherapy and chemotherapy at Renmin Hospital of Wuhan University (Hubei, China) between February 2012 and March 2018. Using Adobe Photoshop, an experienced radiologist segmented MR images with rectangular regions of interest. To develop an accurate model according to the primary tumour, Cervical Metastatic Lymph Node (CMLN), the largest area of invasion of the primary tumour, and image segmentation methods, we constructed intratumoural and intra-peritumoural datasets that were used for training and test of the transfer learning models. Each model's precision was assessed according to its receiver operating characteristic curve and accuracy. Generated high-risk-related Grad-Cams demonstrated how the model captured the image features and further verified its reliability. RESULTS: Among the four models, all intra-peritumoural datasets performed better than the corresponding intratumoural datasets, with the CMLN intra-peritumoural dataset exhibiting the best performance (average area under the curves (AUCs) = 0.88). There was no significant difference between average AUCs of the Max and NPC tumour datasets. AUCs of the eight datasets for the four models were higher than those of the Tumour-Node-Metastasis staging system (AUC=0.67). In most datasets, the xception model had higher AUCs than other models. The efficientnet-b0 and xception models efficiently extracted high-risk features. CONCLUSION: The CNN model predicted distant metastasis in NPC patients with high accuracy. Compared to the primary tumour, the CMLN better predicted distant metastasis. In addition to intratumoural data, peritumoural information can facilitate the prediction of distant metastasis. With a larger sample size, datasets of the largest areas of tumour invasion may achieve meaningful accuracy. Among the models, xception had the best overall performance.

A dual-view multi-resolution laparoscope for safer and more efficient minimally invasive surgery.

Minimally invasive surgery (MIS) is limited in safety and efficiency by the hand-held nature and narrow fields of view of traditional laparoscopes. A multi-resolution foveated laparoscope (MRFL) was invented to address these concerns. The MRFL is a stationary dual-view imaging device with optical panning and zooming capabilities. It is designed to simultaneously capture and display a zoomed view and supplemental wide view of the surgical field. Optical zooming and panning capabilities facilitate repositioning of the zoomed view without physically moving the system. Additional MRFL features designed to improve safety and efficiency include its snub-nosed endoscope, tool-tip auto tracking, programmable focus profiles, unique selectable display modalities, foot pedal controls, and independently controlled surgeon and assistant displays. An MRFL prototype was constructed to demonstrate and test these features. Testing of the prototype validates its design architecture and confirms the functionality of its features. The current MRFL prototype functions adequately as a proof of concept, but the system features and performance require further improvement to be practical for clinical use.

Representation of Race and Ethnicity in Randomized Clinical Trials of Diabetic Macular Edema and Retinal Vein Occlusion Compared to 2010 US Census Data.

Importance: Diverse enrollment and adequate representation of racial and ethnic minority groups in randomized clinical trials (RCTs) are valuable to ensure external validity and applicability of results. Objective: To compare the distribution of race and ethnicity in RCTs of diabetic macular edema (DME) and macular edema from retinal vein occlusion (RVO) to that of US Census data. Design, Setting, and Participants: This was a cross-sectional retrospective analysis comparing racial and ethnic demographic characteristics of US-based RCTs of DME and RVO between 2004 and 2020 with 2010 US Census data. PubMed and ClinicalTrials.gov were searched to screen for completed phase 3 RCTs with published results. Of 169 trials screened, 146 were excluded because they were incomplete, did not report race and ethnicity, or were not based in the US, and 23 trials were included (15 DME and 8 RVO). The number and percentage of American Indian or Alaska Native, Asian, Black, Hispanic, Native Hawaiian or Other Pacific Islander, and White participants was recorded in each RCT. The demographic distribution and proportion was compared to the reported distribution and proportion in the 2010 US Census using the χ2 test. Main Outcomes and Measures: Overrepresentation, underrepresentation, or representation commensurate with 2010 US Census data in the racial and ethnic populations of RCTs of retinal vascular disease. Results: In 23 included RCTs of DME and RVO, there were a total of 38 participants (0.4%) who identified as American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander (groups combined owing to small numbers), 415 Asian participants (4.4%), 904 Black participants (9.6%), 954 Hispanic participants (10.1%), and 7613 White participants (80.4%). By comparison, the 2010 US Census data indicated that 1.1% of the US population self-reported as American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander (groups combined for comparison in this study), 4.8% self-reported as Asian, 12.6% as Black or African American, 16.3% as Hispanic, and 63.7% as White. American Indian or Alaska Native and Hawaiian or Other Pacific Islander participants were underrepresented in 2 trials, neither overrepresented nor underrepresented in 20, and not overrepresented in any of the included trials. Asian participants were underrepresented in 10 trials, overrepresented in 4, and neither overrepresented nor underrepresented in 8. Black participants were underrepresented in 9 trials, overrepresented in 2, and neither overrepresented nor underrepresented in 11. Hispanic participants were underrepresented in 15 trials, overrepresented in 2, and neither overrepresented nor underrepresented in 5. White participants were underrepresented in 2 trials, overrepresented in 14, and neither overrepresented nor underrepresented in 7. The χ2 values comparing RCT demographic distribution to US 2010 Census data were significantly different in 22 of 23 included RCTs. Conclusions and Relevance: The findings in this study indicated a discrepancy between racial and ethnic demographic data in RCTs of DME and RVO and the US population according to the 2010 Census. White study participants were most frequently overrepresented, and Hispanic study participants were most frequently underrepresented. These findings support the need for more efforts to recruit underrepresented racial and ethnic minorities to improve external validity in trial findings.

Rare mucocutaneous manifestations of ulcerative colitis: A case report of pyostomatitis vegetans and Sweet syndrome.

Inflammatory bowel diseases (IBD) are chronic inflammatory disorders of the digestive tract, and they involve systemic inflammatory diseases known as extra-intestinal manifestations (EIMs). Timely and correct diagnosis of mucocutaneous EIMs could assist with detecting and monitoring IBD. We present a case of 52-year-old male patient of ulcerative colitis with 2 rare EMIs together at the same time: pyostomatitis vegetans in the oral cavity and Sweet syndrome on the skin. They presented as multiple small white or yellow pustules on the surface of the hyperemic fragile oral mucosa and abrupt appearance of painful, swollen, and erythematous papules on the skin, respectively. The final diagnosis was made based on clinical manifestations, skin and oral tissue biopsies, and the ulcerative colitis history. This rare case report may remind dentists of rare mucocutaneous EIMs of IBD that might be overlooked. Dentists and dermatologists could contribute to the early diagnosis and management of systematic diseases.

High-throughput multi-resolution foveated laparoscope for minimally invasive surgery.

Feasibility and clinical utility of a multi-resolution foveated laparoscope (MRFL) was previously tested in a porcine surgical study. The study revealed several clinical limitations of the system including moisture proofing, working distance, image quality, low light performance, color accuracy, size, and weight. In this paper, we discuss the root causes of these limitations and strategies to correct them, present the design and prototyping of a new high throughput multi resolution foveated laparoscope (HT-MRFL), and demonstrate the HT-MRFL prototype performance in comparison to the MRFL and simulated performance metrics.

Rapid symptomatic and structural improvement of a retinal astrocytic hamartoma in response to anti-VEGF therapy: A case report.

Purpose: To describe a patient with bilateral peripapillary astrocytic hamartomas with exudation of subretinal fluid into the macula and loss of vision without evidence of choroidal neovascularization. The patient rapidly responded to intravitreal bevacizumab injections resulting in reduced subretinal fluid and clinical improvement. Observation: A 70-year-old female presented with worsening vision in her left eye due to subretinal fluid exudation from a peripapillary astrocytic hamartoma. The patient was treated with two doses of bevacizumab with rapid improvement in vision and resolution of subretinal fluid. Genetic testing was negative for common pathogenic variants for tuberous sclerosis and neurofibromatosis, which are highly associated with bilateral optic nerve and retinal astrocytic hamartomas. Conclusion: Astrocytic hamartomas with exudation may be responsive to bevacizumab suggesting a dependence of these lesions on vascular endothelial growth factor (VEGF) independent of secondary choroidal neovascularization. Furthermore, this case describes a patient with bilateral astrocytic hamartomas without genetic or clinical confirmation of associated phakomatoses, such as tuberous sclerosis and neurofibromatosis.

The strong in vitro and vivo cytotoxicity of three new cobalt(II) complexes with 8-methoxyquinoline.

Three new cobalt(II) complexes, [Co(MQL)2Cl2] (CoCl), [Co(MQL)2Br2] (CoBr), and [Co(MQL)2I2] (CoI), bearing 8-methoxyquinoline (MQL) have been designed for the first time. MTT assays showed that CoCl, CoBr, and CoI exhibit much better antiproliferative activities than cisplatin toward cisplatin-resistant SK-OV-3/DDP and SK-OV-3 ovarian cancer cells, with IC50 values of as low as 0.32-5.49 µM. Further, CoCl and CoI can regulate autophagy-related proteins in SK-OV-3/DDP cells and, therefore, they can induce primarily autophagy-mediated cell apoptosis in the following order: CoCl > CoI. The different antiproliferative activities of the MQL complexes CoCl, CoBr, and CoI could be correlated with the lengths of their Co-X bonds, which adopted the following order: CoI > CoBr > CoCl. The 8-HOMQ complexes CoCl (ca. 60.1%) and CoI (ca. 48.8%) also showed potent in vivo anticancer effects after 15 days of treatment. In summary, the MQL ligand highly enhances the antiproliferative activities of cobalt(II) complexes in comparison to other previously reported 8-hydroxyquinoline metal complexes.