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1. GarVerseLOD: High-Fidelity 3D Garment Reconstruction from a Single In-the-Wild Image using a Dataset with Levels of Details

Author

Luo, Zhongjin, Liu, Haolin, Li, Chenghong, Du, Wanghao, Jin, Zirong, Sun, Wanhu, Nie, Yinyu, Chen, Weikai, and Han, Xiaoguang

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Graphics
Abstract

Neural implicit functions have brought impressive advances to the state-of-the-art of clothed human digitization from multiple or even single images. However, despite the progress, current arts still have difficulty generalizing to unseen images with complex cloth deformation and body poses. In this work, we present GarVerseLOD, a new dataset and framework that paves the way to achieving unprecedented robustness in high-fidelity 3D garment reconstruction from a single unconstrained image. Inspired by the recent success of large generative models, we believe that one key to addressing the generalization challenge lies in the quantity and quality of 3D garment data. Towards this end, GarVerseLOD collects 6,000 high-quality cloth models with fine-grained geometry details manually created by professional artists. In addition to the scale of training data, we observe that having disentangled granularities of geometry can play an important role in boosting the generalization capability and inference accuracy of the learned model. We hence craft GarVerseLOD as a hierarchical dataset with levels of details (LOD), spanning from detail-free stylized shape to pose-blended garment with pixel-aligned details. This allows us to make this highly under-constrained problem tractable by factorizing the inference into easier tasks, each narrowed down with smaller searching space. To ensure GarVerseLOD can generalize well to in-the-wild images, we propose a novel labeling paradigm based on conditional diffusion models to generate extensive paired images for each garment model with high photorealism. We evaluate our method on a massive amount of in-the-wild images. Experimental results demonstrate that GarVerseLOD can generate standalone garment pieces with significantly better quality than prior approaches. Project page: https://garverselod.github.io/, Comment: Project page: https://garverselod.github.io/

Published
2024

2. MVHumanNet: A Large-scale Dataset of Multi-view Daily Dressing Human Captures

Author

Xiong, Zhangyang, Li, Chenghong, Liu, Kenkun, Liao, Hongjie, Hu, Jianqiao, Zhu, Junyi, Ning, Shuliang, Qiu, Lingteng, Wang, Chongjie, Wang, Shijie, Cui, Shuguang, and Han, Xiaoguang

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

In this era, the success of large language models and text-to-image models can be attributed to the driving force of large-scale datasets. However, in the realm of 3D vision, while remarkable progress has been made with models trained on large-scale synthetic and real-captured object data like Objaverse and MVImgNet, a similar level of progress has not been observed in the domain of human-centric tasks partially due to the lack of a large-scale human dataset. Existing datasets of high-fidelity 3D human capture continue to be mid-sized due to the significant challenges in acquiring large-scale high-quality 3D human data. To bridge this gap, we present MVHumanNet, a dataset that comprises multi-view human action sequences of 4,500 human identities. The primary focus of our work is on collecting human data that features a large number of diverse identities and everyday clothing using a multi-view human capture system, which facilitates easily scalable data collection. Our dataset contains 9,000 daily outfits, 60,000 motion sequences and 645 million frames with extensive annotations, including human masks, camera parameters, 2D and 3D keypoints, SMPL/SMPLX parameters, and corresponding textual descriptions. To explore the potential of MVHumanNet in various 2D and 3D visual tasks, we conducted pilot studies on view-consistent action recognition, human NeRF reconstruction, text-driven view-unconstrained human image generation, as well as 2D view-unconstrained human image and 3D avatar generation. Extensive experiments demonstrate the performance improvements and effective applications enabled by the scale provided by MVHumanNet. As the current largest-scale 3D human dataset, we hope that the release of MVHumanNet data with annotations will foster further innovations in the domain of 3D human-centric tasks at scale., Comment: Project page: https://x-zhangyang.github.io/MVHumanNet/

Published
2023

3. EMS: 3D Eyebrow Modeling from Single-view Images

Author

Li, Chenghong, Jin, Leyang, Zheng, Yujian, Yu, Yizhou, and Han, Xiaoguang

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Graphics
Abstract

Eyebrows play a critical role in facial expression and appearance. Although the 3D digitization of faces is well explored, less attention has been drawn to 3D eyebrow modeling. In this work, we propose EMS, the first learning-based framework for single-view 3D eyebrow reconstruction. Following the methods of scalp hair reconstruction, we also represent the eyebrow as a set of fiber curves and convert the reconstruction to fibers growing problem. Three modules are then carefully designed: RootFinder firstly localizes the fiber root positions which indicates where to grow; OriPredictor predicts an orientation field in the 3D space to guide the growing of fibers; FiberEnder is designed to determine when to stop the growth of each fiber. Our OriPredictor is directly borrowing the method used in hair reconstruction. Considering the differences between hair and eyebrows, both RootFinder and FiberEnder are newly proposed. Specifically, to cope with the challenge that the root location is severely occluded, we formulate root localization as a density map estimation task. Given the predicted density map, a density-based clustering method is further used for finding the roots. For each fiber, the growth starts from the root point and moves step by step until the ending, where each step is defined as an oriented line with a constant length according to the predicted orientation field. To determine when to end, a pixel-aligned RNN architecture is designed to form a binary classifier, which outputs stop or not for each growing step. To support the training of all proposed networks, we build the first 3D synthetic eyebrow dataset that contains 400 high-quality eyebrow models manually created by artists. Extensive experiments have demonstrated the effectiveness of the proposed EMS pipeline on a variety of different eyebrow styles and lengths, ranging from short and sparse to long bushy eyebrows., Comment: To appear in SIGGRAPH Asia 2023 (Journal Track). 19 pages, 19 figures, 6 tables

Published
2023

6. The management pattern and outcomes of chronic thromboembolic pulmonary hypertension: rationale and design for a Chinese real-world study

Author

Zhang, Shuai, Li, Yishan, Yang, Yuanhua, Gong, Sugang, Yang, Zhenwen, Hong, Cheng, Cui, Xiaopei, Wan, Jun, Ji, Yingqun, Chen, Hong, Zhu, Ling, Li, Chenghong, Cheng, Zhaozhong, Zhang, Yunhui, Wang, Qiguang, Luo, Qin, Guo, Lu, Ma, Guofeng, Han, Baoshi, Liu, Zhihong, Xiong, Changming, Wang, Lan, Ji, Qiushang, Li, Fajiu, Wang, Shengfeng, Zhang, Zhu, Zhang, Yunxia, Wang, Dingyi, Gao, Qian, Huang, Qiang, Xie, Wanmu, Zhai, Zhenguo, and Wang, Chen

Published
2024
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7. PVSeRF: Joint Pixel-, Voxel- and Surface-Aligned Radiance Field for Single-Image Novel View Synthesis

Author

Yu, Xianggang, Tang, Jiapeng, Qin, Yipeng, Li, Chenghong, Bao, Linchao, Han, Xiaoguang, and Cui, Shuguang

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

We present PVSeRF, a learning framework that reconstructs neural radiance fields from single-view RGB images, for novel view synthesis. Previous solutions, such as pixelNeRF, rely only on pixel-aligned features and suffer from feature ambiguity issues. As a result, they struggle with the disentanglement of geometry and appearance, leading to implausible geometries and blurry results. To address this challenge, we propose to incorporate explicit geometry reasoning and combine it with pixel-aligned features for radiance field prediction. Specifically, in addition to pixel-aligned features, we further constrain the radiance field learning to be conditioned on i) voxel-aligned features learned from a coarse volumetric grid and ii) fine surface-aligned features extracted from a regressed point cloud. We show that the introduction of such geometry-aware features helps to achieve a better disentanglement between appearance and geometry, i.e. recovering more accurate geometries and synthesizing higher quality images of novel views. Extensive experiments against state-of-the-art methods on ShapeNet benchmarks demonstrate the superiority of our approach for single-image novel view synthesis.

Published
2022

8. Fully Attentional Network for Semantic Segmentation

Author

Song, Qi, Li, Jie, Li, Chenghong, Guo, Hao, and Huang, Rui

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Recent non-local self-attention methods have proven to be effective in capturing long-range dependencies for semantic segmentation. These methods usually form a similarity map of RC*C (by compressing spatial dimensions) or RHW*HW (by compressing channels) to describe the feature relations along either channel or spatial dimensions, where C is the number of channels, H and W are the spatial dimensions of the input feature map. However, such practices tend to condense feature dependencies along the other dimensions,hence causing attention missing, which might lead to inferior results for small/thin categories or inconsistent segmentation inside large objects. To address this problem, we propose anew approach, namely Fully Attentional Network (FLANet),to encode both spatial and channel attentions in a single similarity map while maintaining high computational efficiency. Specifically, for each channel map, our FLANet can harvest feature responses from all other channel maps, and the associated spatial positions as well, through a novel fully attentional module. Our new method has achieved state-of-the-art performance on three challenging semantic segmentation datasets,i.e., 83.6%, 46.99%, and 88.5% on the Cityscapes test set,the ADE20K validation set, and the PASCAL VOC test set,respectively., Comment: Accepted by AAAI 2022

Published
2021

11. Alcohol consumption behaviors and neurocognitive dysfunction and emotional distress in adult survivors of childhood cancer: a report from the Childhood Cancer Survivor Study

Author

Brinkman, Tara M, Lown, E Anne, Li, Chenghong, Olsson, Ingrid Tonning, Marchak, Jordan Gilleland, Stuber, Margaret L, Vuotto, Stefanie, Srivastava, Deokumar, Nathan, Paul C, Leisenring, Wendy M, Armstrong, Gregory T, Robison, Leslie L, and Krull, Kevin R

Subjects
Health Services and Systems, Health Sciences, Alcoholism, Alcohol Use and Health, Behavioral and Social Science, Mind and Body, Brain Disorders, Clinical Research, Depression, Pediatric, Pediatric Cancer, Neurosciences, Underage Drinking, Basic Behavioral and Social Science, Substance Misuse, Cancer, Mental Health, Prevention, 2.3 Psychological, social and economic factors, Aetiology, Mental health, Good Health and Well Being, Adult, Adult Survivors of Child Adverse Events, Affective Symptoms, Alcohol Drinking, Cancer Survivors, Child, Cognition Disorders, Emotions, Epidemiologic Methods, Female, Humans, Male, Psychological Distress, Alcohol, childhood cancer, emotional distress, late effects, neurocognition, survivorship, Medical and Health Sciences, Psychology and Cognitive Sciences, Substance Abuse, Public health, Clinical and health psychology
Abstract

AimsTo estimate the level of alcohol consumption behaviors in adult survivors of childhood cancer and to test associations between alcohol consumption behaviors and symptoms of neurocognitive impairment and emotional distress.DesignRetrospective cohort study with longitudinal follow-up of self-reported health outcomes.SettingChildhood Cancer Survivor Study (CCSS), a 26-center study of ≥ 5-year survivors of childhood cancer diagnosed ≤ 21 years of age between 1970 and 1986 in the United States and Canada.ParticipantsA total of 4484 adult survivors of childhood cancer [mean (standard deviation) age at evaluation = 34.8 (6.1) years; time from diagnosis = 24.8 (4.4) years] and 1651 sibling controls who completed surveys reporting on alcohol use, neurocognitive impairment and emotional distress.MeasurementsSurvivor report of alcohol use included age at drinking initiation and quantity and frequency of alcohol consumption. Neurocognition was assessed using the CCSS Neurocognitive Questionnaire. Emotional distress symptoms were measured using the Brief Symptoms Inventory-18 and the Posttraumatic Stress Diagnostic Scale.FindingsAfter adjustment for childhood cancer treatment exposures, including cranial radiation therapy, drinking initiation prior to 18 years of age was associated with 30% increased risk of subsequent memory problems [risk ratio (RR) = 1.3; 95% confidence interval (CI) = 1.1-1.5]. Younger age at drinking initiation was associated with future risk of depression (RR = 1.3; 95% CI = 1.1-1.5), anxiety (RR = 1.6; 95% CI = 1.3-2.1), and somatization (RR = 1.2; 95% CI = 1.1-1.4). Persistent heavy/risky drinking was associated with 80% increased risk of persistent psychological distress (RR = 1.8, 95% CI = 1.4-2.3).ConclusionsDrinking initiation during adolescence is associated with modest increased risk for memory impairment and emotional distress in adult survivors of childhood cancer.

Published
2019

16. Neurologic morbidity and functional independence in adult survivors of childhood cancer

Author

Vuotto, Stefanie C., primary, Wang, Mingjuan, additional, Okcu, M. Fatih, additional, Bowers, Daniel C., additional, Ullrich, Nicole J., additional, Ness, Kirsten K., additional, Li, Chenghong, additional, Srivastava, Deo Kumar, additional, Howell, Rebecca M., additional, Gibson, Todd M., additional, Leisenring, Wendy M., additional, Oeffinger, Kevin C., additional, Robison, Leslie L., additional, Armstrong, Gregory T., additional, Kull, Kevin R., additional, and Brinkman, Tara M., additional

Published
2023
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18. Neurologic morbidity and functional independence in adult survivors of childhood cancer.

Author

Vuotto, Stefanie C., Wang, Mingjuan, Okcu, M. Fatih, Bowers, Daniel C., Ullrich, Nicole J., Ness, Kirsten K., Li, Chenghong, Srivastava, Deo Kumar, Howell, Rebecca M., Gibson, Todd M., Leisenring, Wendy M., Oeffinger, Kevin C., Robison, Leslie L., Armstrong, Gregory T., Krull, Kevin R., and Brinkman, Tara M.

Abstract

Objective: To examine associations between neurologic late effects and attainment of independence in adult survivors of childhood cancer treated with central nervous system (CNS)‐directed therapies. Methods: A total of 7881 survivors treated with cranial radiation therapy (n = 4051; CRT) and/or intrathecal methotrexate (n = 4193; IT MTX) ([CNS‐treated]; median age [range] = 25.5 years [18–48]; time since diagnosis = 17.7 years [6.8–30.2]) and 8039 without CNS‐directed therapy reported neurologic conditions including stroke, seizure, neurosensory deficits, focal neurologic dysfunction, and migraines/severe headaches. Functional independence was assessed using latent class analysis with multiple indicators (independent living, assistance with routine and personal care needs, ability to work/attend school, attainment of driver's license, marital/partner status). Multivariable regression models, adjusted for age, sex, race/ethnicity, and chronic health conditions, estimated odds ratios (OR) or relative risks (RR) for associations between neurologic morbidity, functional independence, and emotional distress. Results: Among CNS‐treated survivors, three classes of independence were identified: (1) moderately independent, never married, and non‐independent living (78.7%); (2) moderately independent, unable to drive (15.6%); and (3) non‐independent (5.7%). In contrast to 50% of non‐CNS‐treated survivors and 60% of siblings, a fourth fully independent class of CNS‐treated survivors was not identified. History of stroke (OR = 2.50, 95% CI: 1.70–3.68), seizure (OR = 9.70, 95% CI: 7.37–12.8), neurosensory deficits (OR = 2.67, 95% CI: 2.16–3.31), and focal neurologic dysfunction (OR = 3.05, 95% CI: 2.40–3.88) were associated with non‐independence among CNS‐treated survivors. Non‐independence was associated with emotional distress symptoms. Interpretation: CNS‐treated survivors do not attain full independence comparable to non‐CNS‐treated survivors or siblings. Interventions to promote independence may be beneficial for survivors with treatment‐related neurological sequalae. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Fully Attentional Network for Semantic Segmentation

Author

Song, Qi, Li, Jie, Li, Chenghong, Guo, Hao, and Huang, Rui

Subjects
FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, General Medicine
Abstract

Recent non-local self-attention methods have proven to be effective in capturing long-range dependencies for semantic segmentation. These methods usually form a similarity map of RC*C (by compressing spatial dimensions) or RHW*HW (by compressing channels) to describe the feature relations along either channel or spatial dimensions, where C is the number of channels, H and W are the spatial dimensions of the input feature map. However, such practices tend to condense feature dependencies along the other dimensions,hence causing attention missing, which might lead to inferior results for small/thin categories or inconsistent segmentation inside large objects. To address this problem, we propose anew approach, namely Fully Attentional Network (FLANet),to encode both spatial and channel attentions in a single similarity map while maintaining high computational efficiency. Specifically, for each channel map, our FLANet can harvest feature responses from all other channel maps, and the associated spatial positions as well, through a novel fully attentional module. Our new method has achieved state-of-the-art performance on three challenging semantic segmentation datasets,i.e., 83.6%, 46.99%, and 88.5% on the Cityscapes test set,the ADE20K validation set, and the PASCAL VOC test set,respectively., Accepted by AAAI 2022

Published
2022

24. A trial of arbidol hydrochloride in adults with COVID-19

Author

Zhao, Jingya, primary, Zhang, Jinnong, additional, Jin, Yang, additional, Tang, Zhouping, additional, Hu, Ke, additional, Sun, Hui, additional, Shi, Mengmeng, additional, Yang, Qingyuan, additional, Gu, Peiyu, additional, Guo, Hongrong, additional, Li, Qi, additional, Zhang, Haiying, additional, Li, Chenghong, additional, Yang, Ming, additional, Xiong, Nian, additional, Dong, Xuan, additional, Xu, Juanjuan, additional, Lin, Fan, additional, Wang, Tao, additional, Yang, Chao, additional, Huang, Bo, additional, Zhang, Jingyi, additional, Chen, Shi, additional, He, Qiong, additional, Zhou, Min, additional, and Qu, Jieming, additional

Published
2022
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26. Prevention and Treatment of Venous Thromboembolism Associated with Coronavirus Disease 2019 Infection: A Consensus Statement before Guidelines

Author

Zhenlu Zhang, Yaolong Chen, Zhenguo Zhai, Li Chenghong, Grigorios T. Gerotziafas, Jun Wan, Chen Wang, Peng Liu, and Ismail Elalamy

Subjects
0301 basic medicine, Statement (logic), Review Article, Disease, 030204 cardiovascular system & hematology, 0302 clinical medicine, Risk Factors, Antithrombotic, Pandemic, Medicine, Registries, Venous Thrombosis, Anticoagulant, Hematology, Blood Coagulation Disorders, Europe, Treatment Outcome, coagulation abnormalities, prophylaxis, Cardiology and Cardiovascular Medicine, Coronavirus Infections, Risk assessment, China, medicine.medical_specialty, Consensus, Coronavirus disease 2019 (COVID-19), medicine.drug_class, Venous Vantage Point, Critical Illness, venous thromboembolism, Pneumonia, Viral, MEDLINE, Hemorrhage, Risk Assessment, Fibrin Fibrinogen Degradation Products, Betacoronavirus, 03 medical and health sciences, Humans, Intensive care medicine, Pandemics, SARS-CoV-2, business.industry, COVID-19, Anticoagulants, medicine.disease, Review article, Pneumonia, 030104 developmental biology, Surgery, Pulmonary Embolism, business, Venous thromboembolism
Abstract

Coronavirus disease 2019 (COVID-19) has caused a global pandemic in just a few months, causing millions infected. Nearly 20% of COVID-19 patients present severe coagulation abnormalities, which may occur in almost all of the severe and critical ill COVID-19 cases. Concomitant venous thromboembolism (VTE), a potential cause of unexplained deaths, has been frequently reported in COVID-19 cases, but its management is still challenging due to the complexity between antithrombotic therapy and coagulation disorders. Based on frontline practical experience and comprehensive literature review, here a panel of experts and physicians from China and Europe developed an evidence and opinion-based consensus on the prophylaxis and management of VTE associated with COVID-19. This statement aims for clinicians treating COVID-19 and provides practical recommendations in detailed situations, for example, how to choose thromboprophylactic measures for patients with diverse severity of disease and bleeding risk, or which kind of anticoagulant should be prescribed. With limited experience on COVID19-associated VTE, this expert consensus statement should be helpful for clinicians worldwide with specific suggestions.

Published
2020

27. Awareness and Prophylaxis of Venous Thromboembolism in Patients with COVID-19: A National Cross-Sectional Survey in Epidemic Era

Author

Chen Wang, Yimin Wang, Linfeng Xi, Yunxia Zhang, Shuai Zhang, Wenyi Pang, Zhenguo Zhai, Li Chenghong, and Zhu Zhang

Subjects
Adult, Male, medicine.medical_specialty, China, Coronavirus disease 2019 (COVID-19), Cross-sectional study, Pneumonia, Viral, 030204 cardiovascular system & hematology, Vte prophylaxis, 03 medical and health sciences, Betacoronavirus, 0302 clinical medicine, Surveys and Questionnaires, Internal Medicine, Medicine, Humans, In patient, cardiovascular diseases, Practice Patterns, Physicians', Pandemics, business.industry, SARS-CoV-2, Incidence (epidemiology), Biochemistry (medical), Questionnaire, Anticoagulants, COVID-19, Venous Thromboembolism, Heparin, Low-Molecular-Weight, Middle Aged, equipment and supplies, COVID-19, Survey, Increased risk, Cross-Sectional Studies, Emergency medicine, Original Article, Female, Clinical Competence, Cardiology and Cardiovascular Medicine, business, Coronavirus Infections, Venous thromboembolism, 030217 neurology & neurosurgery
Abstract

Aim Patients with acute infectious diseases are at an increased risk of venous thromboembolism (VTE). Clinicians should be aware of the VTE risk in patients with COVID-19, many of whom present with severe coagulation disorders. Method We used an online platform to conduct a cross-sectional questionnaire survey among doctors in mainland China in March 2020. The questionnaire was designed to figure out the clinician's current awareness of VTE prevention and detection rates, as well as the current status of VTE prophylaxis in patients with COVID-19. Results We collected 1,636 replies, of which 1,579 were valid. Among these, 991 (63%) clinicians were involved directly in frontline treatment. Most of the clinicians (1,492, or 94%) thought it was necessary to assess the VTE risk in patients with COVID-19. However, only 234 (24%) clinicians performed appropriate assessment during the COVID-19 outbreak. For patients with mild/moderate COVID-19, 752 (76%) clinicians would prescribe exercise and water to prevent VTE. For patients with severe COVID-19, 448 (45%) clinicians would prescribe mechanical devices if the patient had a high bleeding risk, and 648 (65%) clinicians would choose LMWH as prophylaxis if the patient had a low bleeding risk. The VTE detection rate was not that high in both mild/moderate and severe patients. Conclusion Although most clinicians recommended prescribing VTE prophylaxis to patients with COVID-19, the practice still needs to be improved. A real-world registry to investigate the true incidence of VTE, and the effect of prescribing appropriate prophylaxis for patients with COVID-19, is necessary in the future.

Published
2020

29. Non-Ischemic, Non-Hypoxic Myocardial Injury, and Long-Term Mortality in Patients with Coronavirus Disease 2019

Author

Li, Fajiu, primary, Zhu, Xijie, additional, Zhu, Ziyang, additional, Yang, Yinjian, additional, Tian, Zhuang, additional, Wang, Duolao, additional, Chen, Shi, additional, Gao, Xiaoyan, additional, Xu, Yalin, additional, Zhang, Bo, additional, Yu, Wei, additional, Liu, Min, additional, Xu, Xiqi, additional, Li, Chenghong, additional, and Zhang, Shuyang, additional

Published
2022
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30. Study of the Regulatory Mechanism of miR-26a-5p in Allergic Asthma.

Author

Zhong, Jinnan, Liu, Min, Chen, Shi, Liu, Shuang, Li, Fajiu, and Li, Chenghong

Subjects
GENE expression, MYOFIBROBLASTS, PULMONARY fibrosis, ASTHMA, FIBRONECTINS, PUBLIC health, GENETIC regulation
Abstract

Objective: Allergic asthma is a growing burden on national public health services due to its high prevalence. The aim of this experiment was to investigate whether miR-26a-5p affects cellular fibrosis and thus airway remodeling in asthmatic mice through the regulation of target genes. Methods: Screening for differentially expressed miRNAs in asthma model mice was carried out by constructing a mouse model of allergic asthma. qRT-PCR was performed to determine candidate miRNAs in each group of bronchial tissues. Western blot detection of the expression levels of predicted candidate target genes in each group of bronchial tissues was conducted. A dual luciferase assay was performed to validate the binding of miR-26a-5p to target genes. Fibronectin, a marker of cellular fibrosis, was detected via flow cytometry. CCK8 and BrdU staining were used to detect the proliferation ability of each group of cells. Results: miR-26a-5p is able to target and bind to ABL2 3′-UTR, MMP16 3′-UTR and PDE7A 3′-UTR sequences. After interference with miR-26a-5p, improved bronchial histopathology and reduced peribronchial collagen deposition were found. Compared with the model group, interference with miR-26a-5p reduced lung fibrosis, decreased fibroblasts and increased apoptosis in mouse bronchial tissues; overexpression of miR-26a-5p decreased apoptosis in mouse bronchial tissues. Compared with the model group, the serum levels of IL-4, IL-5, IL-13 and I IFN-γ were decreased in the miR-26a-5p inhibitor group and increased in the miR-26a-5p mimic group. The immunohistochemical results showed that the expression of ABL2, MMP16 and PDE7A was significantly reduced after intervention with miR-26a-5p. Compared with the model group, the apoptosis rate of cells in the miR-26a-5p inhibitor group of the allergic asthma model was upregulated, the levels of IL-4, IL-5, IL-13, IFN-γ and ROS were decreased, the expression of the miRNA and proteins of ABL2, MMP16 and PDE7A was decreased, the expression of LC3A and P62 was significantly increased and the expression of LC3B, Beclin1, Atg5 and fibrosis markers collagen I and α-SMA was decreased. Conclusion: miR-26a-5p affects cellular fibrosis and thus airway remodeling in asthmatic mice by regulating target genes. [ABSTRACT FROM AUTHOR]

Published
2023
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33. Low molecular weight heparin and 28-day mortality among patients with coronavirus disease 2019: A cohort study in the early epidemic era

Author

Shi Chen, Kaiyuan Zhen, Yunxia Zhang, Fajiu Li, Bruce L. Davidson, Wei Qin, Li Chenghong, Ismail Elalamy, Ziyang Zhu, Xiaojiang Wang, Jing Wang, Yimin Wang, Zhenguo Zhai, Fen Dong, Zhu Zhang, Bingzhu Hu, and Chen Wang

Subjects
Adult, Male, 2019-20 coronavirus outbreak, medicine.medical_specialty, China, Time Factors, Coronavirus disease 2019 (COVID-19), medicine.drug_class, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Treatment outcome, Low molecular weight heparin, Letter to the Editors-in-Chief, Hemorrhage, Risk Factors, Internal medicine, medicine, Humans, Hospital Mortality, Aged, Aged, 80 and over, business.industry, Anticoagulants, COVID-19, Heparin, Hematology, Heparin, Low-Molecular-Weight, Middle Aged, COVID-19 Drug Treatment, Hospitalization, Treatment Outcome, Female, 28 day mortality, business, Cohort study, medicine.drug
Published
2021
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34. Comparison of Immediate and Sequential Withdrawal of a Systemic Glucocorticoid in the Treatment of Acute Exacerbations of Chronic Obstructive Pulmonary Disease: A Multicenter, Randomized, Double-Blind, Parallel-Controlled, Open-Label Study

Author

Zhou, Ling, primary, Fang, Yuanyuan, additional, Liu, Wei, additional, Zhang, Jianchu, additional, Wang, Yingnan, additional, Xie, Sheng, additional, Zhong, Minhua, additional, Wang, Zhengyan, additional, Li, Guangcai, additional, Ai, Hongyan, additional, Guo, Hongrong, additional, Zeng, Fanjun, additional, Xiao, Wei, additional, Li, Chenghong, additional, Hu, Yi, additional, Tang, Yijun, additional, and Liu, Huiguo, additional

Published
2021
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37. Diffusion Capacity Abnormalities for Carbon Monoxide in Patients with COVID-19 At Three-Month Follow-up

Author

Qin, Wei, primary, Chen, Shi, additional, Zhang, Yunxia, additional, Dong, Fen, additional, Zhang, Zhu, additional, Hu, Bingzhu, additional, Zhu, Ziyang, additional, Li, Fajiu, additional, Wang, Xiaojiang, additional, Wang, Yimin, additional, Zhen, Kaiyuan, additional, Wang, Jing, additional, Wan, YuLei, additional, Li, Hongbo, additional, Elalamy, Ismaïl, additional, Li, Chenghong, additional, Zhai, Zhenguo, additional, and Wang, Chen, additional

Published
2021
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40. Cumulative Burden of Chronic Health Conditions in Adult Survivors of Osteosarcoma and Ewing Sarcoma: A Report from the St. Jude Lifetime Cohort Study

Author

Bishop, Michael W., primary, Ness, Kirsten K., additional, Li, Chenghong, additional, Liu, Wei, additional, Srivastava, Deo Kumar, additional, Chemaitilly, Wassim, additional, Krull, Kevin R., additional, Green, Daniel M., additional, Pappo, Alberto S., additional, Robison, Leslie L., additional, Hudson, Melissa M., additional, and Mulrooney, Daniel A., additional

Published
2020
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42. D‐dimer Triage for COVID‐19

Author

Li, Chenghong, primary, Hu, Bingzhu, additional, Zhang, Zhu, additional, Qin, Wei, additional, Zhu, Ziyang, additional, Zhai, Zhenguo, additional, Davidson, Bruce L., additional, and Wang, Chen, additional

Published
2020
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45. D‐dimer Triage for COVID‐19

Author

Wei Qin, Chen Wang, Zhu Zhang, Bruce L. Davidson, Ziyang Zhu, Li Chenghong, Zhenguo Zhai, and Bingzhu Hu

Subjects
medicine.medical_specialty, 2019-20 coronavirus outbreak, Coronavirus disease 2019 (COVID-19), business.industry, 030208 emergency & critical care medicine, General Medicine, medicine.disease, Triage, Research Letters, Large cohort, 03 medical and health sciences, Pneumonia, 0302 clinical medicine, D-dimer, Emergency medicine, Research Letter, Emergency Medicine, medicine, Coagulopathy, business, Coronavirus Infections
Abstract

Coagulopathy and elevated D‐dimer levels were recognized as prognostic factors early in Wuhan, China as accompanying more severe COVID‐19 patient cases. We sought to determine the accuracy of normal vs elevated D‐dimer blood levels at presentation, day 1, and on day 3 for predicting 28‐day survival in a large cohort of consecutive PCR‐proven COVID‐19 patients, to help with patient triage, reassurance, and follow‐up management.

Published
2020

46. Diffusion Capacity Abnormalities for Carbon Monoxide in Patients with COVID-19 At Three-Month Follow-up

Author

Yunxia Zhang, Zhu Zhang, Ziyang Zhu, Ismail Elalamy, YuLei Wan, Xiaojiang Wang, Shi Chen, Wei Qin, Yimin Wang, Fajiu Li, Chen Wang, Kaiyuan Zhen, Zhenguo Zhai, Fen Dong, Hongbo Li, Li Chenghong, Jing Wang, and Bingzhu Hu

Subjects
Pulmonary and Respiratory Medicine, medicine.medical_specialty, Weakness, ARDS, Lung, Coronavirus disease 2019 (COVID-19), business.industry, medicine.disease, Gastroenterology, Pulmonary function testing, medicine.anatomical_structure, Internal medicine, Palpitations, Medicine, In patient, medicine.symptom, business, Month follow up
Abstract

ObjectiveTo evaluate pulmonary function and clinical symptoms in coronavirus disease 2019 (COVID-19) survivors within 3 months after hospital discharge, and to identify risk factors associated with impaired lung function.Methods and materialCOVID-19 patients were prospectively followed up with pulmonary function tests and clinical characteristics for 3 months following discharge from a hospital in Wuhan, China between January and February 2020.Results647 patients were included. 87 (13%) patients presented with weakness, 63 (10%) with palpitation and 56 (9%) with dyspnea. Prevalences of the three symptoms were markedly higher in severe patients than non-severe patients (19% versus 10% for weakness, p=0.003; 14% versus 7% for palpitation, p=0.007; 12% versus 7% for dyspnea, p=0.014). Results of multivariable regression showed an increased odd in the ongoing symptoms among severe patients (OR: 1.7, 95%CI: 1.1–2.6, p=0.026) or patients with longer hospital stay (OR: 1.03, 95%CI: 1.00–1.05, p=0.041). Pulmonary function test results were available for 81 patients, including 41 non-severe and 40 severe patients. In this subgroup, 44 (54%) patients manifested abnormal diffusion capacity for carbon monoxide (DLCO) (68% severe versus 42% non-severe patients, p=0.019). Chest CT total severity score (TSS)>10.5 (OR: 10.4; 95%CI: 2.5–44.1; p=0.001) on admission and ARDS (OR: 4.6; 95%CI: 1.4–15.5; p=0.014) were significantly associated with impaired DLCO. Pulmonary interstitial damage may be associated with abnormal DLCO.ConclusionPulmonary function, particularly DLCO, declined in COVID-19 survivors. This decrease was associated with TSS of chest CT >10.5 and ARDS occurrence. Pulmonary interstitial damage might contribute to the imparied DLCO.

Published
2021

48. Alcohol consumption behaviors and neurocognitive dysfunction and emotional distress in adult survivors of childhood cancer: a report from the Childhood Cancer Survivor Study

Author

Brinkman, Tara M., Lown, E. Anne, Li, Chenghong, Olsson, Ingrid Tonning, Marchak, Jordan Gilleland, Stuber, Margaret L., Vuotto, Stefanie, Srivastava, Deokumar, Nathan, Paul C., Leisenring, Wendy, Armstrong, Gregory T., Robison, Leslie L., and Krull, Kevin R.

Subjects
Adult, Male, Alcohol Drinking, neurocognition, Emotions, Psychological Distress, Medical and Health Sciences, Article, emotional distress, Cancer Survivors, Neoplasms, childhood cancer, late effects, Humans, Survivors, Affective Symptoms, Child, Psychology and Cognitive Sciences, Substance Abuse, Adult Survivors of Child Adverse Events, Female, Alcohol, Cognition Disorders, Epidemiologic Methods, survivorship, Stress, Psychological
Abstract

AIMS:To estimate the level of alcohol consumption behaviors in adult survivors of childhood cancer and to test associations between alcohol consumption behaviors and symptoms of neurocognitive impairment and emotional distress. DESIGN:Retrospective cohort study with longitudinal follow-up of self-reported health outcomes. SETTING:Childhood Cancer Survivor Study (CCSS), a 26-center study of ≥ 5-year survivors of childhood cancer diagnosed ≤ 21 years of age between 1970 and 1986 in the United States and Canada. PARTICIPANTS:A total of 4484 adult survivors of childhood cancer [mean (standard deviation) age at evaluation = 34.8 (6.1) years; time from diagnosis = 24.8 (4.4) years] and 1651 sibling controls who completed surveys reporting on alcohol use, neurocognitive impairment and emotional distress. MEASUREMENTS:Survivor report of alcohol use included age at drinking initiation and quantity and frequency of alcohol consumption. Neurocognition was assessed using the CCSS Neurocognitive Questionnaire. Emotional distress symptoms were measured using the Brief Symptoms Inventory-18 and the Posttraumatic Stress Diagnostic Scale. FINDINGS:After adjustment for childhood cancer treatment exposures, including cranial radiation therapy, drinking initiation prior to 18 years of age was associated with 30% increased risk of subsequent memory problems [risk ratio (RR) = 1.3; 95% confidence interval (CI) = 1.1-1.5]. Younger age at drinking initiation was associated with future risk of depression (RR = 1.3; 95% CI = 1.1-1.5), anxiety (RR = 1.6; 95% CI = 1.3-2.1), and somatization (RR = 1.2; 95% CI = 1.1-1.4). Persistent heavy/risky drinking was associated with 80% increased risk of persistent psychological distress (RR = 1.8, 95% CI = 1.4-2.3). CONCLUSIONS:Drinking initiation during adolescence is associated with modest increased risk for memory impairment and emotional distress in adult survivors of childhood cancer.

Published
2018

50. A phase III trial comparing an anionic phospholipid-based cream and aloe vera-based gel in the prevention of radiation dermatitis in pediatric patients

Author

Davis Tina, Pritchard David, Baratti Pam, Smith Julie, Bosley Christina, Merchant Thomas E, Li Chenghong, and Xiong Xiaoping

Subjects
Medical physics. Medical radiology. Nuclear medicine, R895-920, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Purpose Radiation dermatitis is a common side effect of radiation therapy (RT). In severe cases, RT must be interrupted until the skin heals, which can compromise treatment. The purpose of the study was to compare an anionic polar phospholipid (APP)-based cream and an aloe vera-based gel to determine their effectiveness in preventing and treating radiation dermatitis. Patients and methods Forty-five pediatric patients (median age, 11 years) with various diagnoses who received at least 23.4 Gy participated. APP cream and aloe vera gel were symmetrically applied within the irradiated field after each treatment. Three measures were collected before, during and after completion of treatment: subject's skin comfort, dermatologic assessment, and common toxicity criteria (CTC). Results Significant differences in specific variables favoring APP cream use were noted in some patients including skin comfort variables, dry (p = 0.002), soft (p = 0.057), feels good (p = 0.002), rough (p = 0.065), smooth (p = 0.012) and dermatologic variables, dryness (p = 0.013), erythema (p = 0.002) and peely (p = 0.008). Grouped CTC scores were supportive of APP cream (p = 0.004). In comparing the first and last assessments, two dermatologic variables, dryness (p = 0.035) and peely (p = 0.016), favored APP cream. Conclusion APP cream is more effective than aloe vera-based gel for prevention and treatment of radiation dermatitis.

Published
2007
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