bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pre-Operative Prediction of Mediastinal Node Metastasis Using Radiomics Model Based on 18F-FDG PET/CT of the Primary Tumor in Non-Small Cell Lung Cancer Patients
Authors: Zheng Kai , Wang Xinrong , Jiang Chengzhi , Tang Yongxiang , Fang Zhihui , Hou Jiale , Zhu Zehua , Hu Shuo 
Published: June 2021

Purpose: We investigated whether a fluorine-18-fluorodeoxy glucose positron emission tomography/computed tomography (18F-FDG PET/CT)-based radiomics model (RM) could predict the pathological mediastinal lymph node staging (pN staging) in patients with non-small cell lung cancer (NSCLC) undergoing surgery.Methods: A total of 716 patients with a clinicopathological diagnosis of NSCLC were included in this retrospective study. The prediction model was developed in a training cohort that consisted of 501 patients. Radiomics features were extracted from the 18F-FDG PET/CT of the primary tumor. Support vector machine and extremely randomized trees were used to build the RM. Internal validation was assessed. An independent testing cohort contained the remaining 215 patients. The performances of the RM and clinical node staging (cN staging) in predicting pN staging (pN0 vs. pN1 and N2) were compared for each cohort. The area under the curve (AUC) of the receiver operating characteristic curve was applied to assess the model's performance.Results: The AUC of the RM [0.81 (95% CI, 0.771–0.848); sensitivity: 0.794; specificity: 0.704] for the predictive performance of pN1 and N2 was significantly better than that of cN in the training cohort [0.685 (95% CI, 0.644–0.728); sensitivity: 0.804; specificity: 0.568], (P-value = 8.29e-07, as assessed by the Delong test). In the testing cohort, the AUC of the RM [0.766 (95% CI, 0.702–0.830); sensitivity: 0.688; specificity: 0.704] was also significantly higher than that of cN [0.685 (95% CI, 0.619–0.747); sensitivity: 0.799; specificity: 0.568], (P = 0.0371, Delong test).Conclusions: The RM based on 18F-FDG PET/CT has a potential for the pN staging in patients with NSCLC, suggesting that therapeutic planning could be tailored according to the predictions.
Prediction of Progression to Severe Stroke in Initially Diagnosed Anterior Circulation Ischemic Cerebral Infarction
Authors: Wei Lai , Cao Yidi , Zhang Kangwei , Xu Yun , Zhou Xiang , Meng Jinxi , Shen Aijun , Ni Jiong , Yao Jing , Shi Lei , Zhang Qi , Wang Peijun 
Published: June 2021

Purpose: Accurate prediction of the progression to severe stroke in initially diagnosed nonsevere patients with acute–subacute anterior circulation nonlacuna ischemic infarction (ASACNLII) is important in making clinical decision. This study aimed to apply a machine learning method to predict if the initially diagnosed nonsevere patients with ASACNLII would progress to severe stroke by using diffusion-weighted images and clinical information on admission.Methods: This retrospective study enrolled 344 patients with ASACNLII from June 2017 to August 2020 on admission, and 108 cases progressed to severe stroke during hospitalization within 3–21 days. The entire data were randomized into a training set (n = 271) and an independent test set (n = 73). A U-Net neural network was employed for automatic segmentation and volume measurement of the ischemic lesions. Predictive models were developed and used for evaluating the progression to severe stroke using different feature sets (the volume data, the clinical data, and the combination) and machine learning methods (random forest, support vector machine, and logistic regression).Results: The U-Net showed high correlation with manual segmentation in terms of Dice coefficient of 0.806 and R2 value of the volume measurements of 0.960 in the test set. The random forest classifier of the volume + clinical combination achieved the best area under the receiver operating characteristic curve of 0.8358 (95% CI 0.7321–0.9269), and the accuracy, sensitivity, and specificity were 0.7780 (0.7397–0.7945), 0.7695 (0.6102–0.9074), and 0.8686 (0.6923–1.0), respectively. The Shapley additive explanation diagram showed the volume variable as the most important predictor.Conclusion: The U-Net was fully automatic and showed a high correlation with manual segmentation. An integrated approach combining clinical variables and stroke lesion volumes that were derived from the advanced machine learning algorithms had high accuracy in predicting the progression to severe stroke in ASACNLII patients.
Clinical Efficacy of Temozolomide and Its Predictors in Aggressive Pituitary Tumors and Pituitary Carcinomas: A Systematic Review and Meta-Analysis
Authors: Luo Mei , Tan Yiheng , Chen Wenli , Hu Bin , Wang Zongming , Zhu Diming , Jiao Haosen , Duan Chengbin , Zhu Yonghong , Wang Haijun 
Published: June 2021

Background: A growing number of evidences suggest that TMZ applications can generate impressive benefits for APT and PC patients. However, the definite role of TMZ for individuals remains unclarified due to the variation between studies. And the predictive factors to alter its efficacy remain debatable.Objective: To evaluate the long-term effectiveness and safety profile of TMZ in the treatment of pituitary malignancies, and delineate the predictors during its clinical employment.Results: A literature retrieval was conducted from online databases for studies published up to December 31, 2020. Twenty one studies involving 429 patients were identified. TMZ exhibited 41% radiological overall response rate (rORR). The biochemical response rate was determinate in 53% of the functioning subset. Two-year and 4-year survival rate were 79 and 61%, respectively. TMZ prolonged the median PFS and OS as 20.18 and 40.24 months. TMZ-related adverse events occurred in 19% of patients. Regarding predictors of TMZ response, rORR was dramatically improved in patients with low/intermediate MGMT expression than those with high-MGMT (&gt;50%) (p &lt; 0.001). The benefit of TMZ varied according to functioning subtype of patients, with greater antitumor activities in functioning subgroups and fewer activities in non-functioning sets (p &lt; 0.001). Notably, the concomitant therapy of radiotherapy and TMZ significantly increased the rORR (p = 0.007).Conclusion: TMZ elicits clinical benefits with moderate adverse events in APT and PC patients. MGMT expression and clinical subtype of secreting function might be vital predictors of TMZ efficacy. In the future, the combination of radiotherapy with TMZ may further improve the clinical outcomes than TMZ monotherapy.
Construction and Validation of an Autophagy-Related Prognostic Signature and a Nomogram for Bladder Cancer
Authors: Yan Xin , Wu Hua-Hui , Chen Zhao , Du Guo-Wei , Bai Xiao-Jie , Tuoheti Kurerban , Liu Tong-Zu 
Published: June 2021

ObjectiveBladder cancer (BC) is one of the top ten cancers endangering human health but we still lack accurate tools for BC patients’ risk stratification. This study aimed to develop an autophagy-related signature that could predict the prognosis of BC. In order to provide clinical doctors with a visual tool that could precisely predict the survival probability of BC patients, we also attempted to establish a nomogram based on the risk signature.MethodsWe screened out autophagy-related genes (ARGs) combining weighted gene co-expression network analysis (WGCNA) and differentially expressed gene (DEG) in BC. Based on the screened ARGs, we performed survival analysis and Cox regression analysis to identify potential prognostic biomarkers. A risk signature based on the prognostic ARGs by multivariate Cox regression analysis was established, which was validated by using seven datasets. To provide clinical doctors with a useful tool for survival possibility prediction, a nomogram assessed by the ARG-based signature and clinicopathological features was constructed, verified using four independent datasets.ResultsThree prognostic biomarkers including BOC (P = 0.008, HR = 1.104), FGF7(P = 0.030, HR = 1.066), and MAP1A (P = 0.001, HR = 1.173) were identified and validated. An autophagy-related risk signature was established and validated. This signature could act as an independent prognostic feature in patients with BC (P = 0.047, HR = 1.419). We then constructed two nomograms with and without ARG-based signature and subsequent analysis indicated that the nomogram with ARG signature showed high accuracy for overall survival probability prediction of patients with BC (C-index = 0.732, AUC = 0.816). These results proved that the ARG signature improved the clinical net benefit of the standard model based on clinicopathological features (age, pathologic stage).ConclusionsThree ARGs were identified as prognosis biomarkers in BC. An ARG-based signature was established for the first time, showing strong potential for prognosis prediction in BC. This signature was proven to improve the clinical net benefit of the standard model. A nomogram was established using this signature, which could lead to more effective prognosis prediction for BC patients.
LncRNA FGD5-AS1 Facilitates the Radioresistance of Breast Cancer Cells by Enhancing MACC1 Expression Through Competitively Sponging miR-497-5p
Authors: Li Ji , Lei Changjiang , Chen Bineng , Zhu Qingfang 
Published: June 2021

BackgroundLncRNA-FGD5-AS1, as an oncogene, participates in the development and progress of various cancers. However, the exact role and the molecular mechanisms by which FGD5-AS1 regulates radiosensitivity in breast cancer (BC) remains largely unknown.MethodsWe used X-Ray weekly-dose-increase method to establish radiation-resistance cell lines. Bioinformatics tools analyze the expression of FGD5-AS1 in breast cancer tissue and evaluated the relationship between FGD5-AS1 and clinic-pathological features. CCK-8 and colony formation were used to analyze cell proliferation. Western blotting and qPCR were applied to detect protein and gene expression, respectively. RNA interference was used to knock down the endogenous gene expression. Luciferase reporter system and immunoprecipitates were applied to verify the target of FGD5-AS1.ResultFGD5-AS1 was overexpressed in BC tissues and radiation-resistance cell lines. Higher levels of FGD5-AS1 predicted poorer clinical characteristics and prognosis. Loss-of-function FGD5-AS1 sensitized BC cells to X-ray, meanwhile, the cell gained radiation-resistance when exogenous FGD5-AS1 was expressed. FGD5-AS1 depletion arrested cells at G0/G1 and triggers cell apoptosis. The starBase database (ENCORI), predicted binding site of miR-497-5p in FGD5-AS1 sequence, and luciferase reporter system and immunoprecipitates verified miR-497-5p was the target of FGD5-AS1. Furthermore, MACC1 was predicted and verified as the target of miR-497-5p. Loss-of-function FGD5-AS1 sensitized ionizing radiation was rescued by the up-regulation of MACC1 and the inhibition of miR-497.ConclusionFGD5-AS1 displays an oncogene profile in CRC; patients with high expression of FGD5-AS1 should benefit less from radiotherapy and need a more frequent follow-up. Besides, FGD5-AS1 may be a potential therapeutic target for CRC.
Cohort Profile: Chinese Cervical Cancer Clinical Study
Authors: Zhang Xi-Ru , Li Zhi-Qiang , Sun Li-Xin , Liu Ping , Li Zhi-Hao , Li Peng-Fei , Zhao Hong-Wei , Chen Bi-Liang , Ji Mei , Wang Li , Kang Shan , Lang Jing-He , Mao Chen , Chen Chun-Lin 
Published: June 2021

Cervical cancer is the fourth most common cancer worldwide, but its incidence varies greatly in different countries. Regardless of incidence or mortality, the burden of cervical cancer in China accounts for approximately 18% of the global burden. The Chinese Cervical Cancer Clinical Study is a hospital-based multicenter open cohort. The major aims of this study include (i) to explore the associations of therapeutic strategies with complications as well as mid- and long-term clinical outcomes; (ii) to widely assess the factors which may have an influence on the prognosis of cervical cancer and then guide the treatment options, and to estimate prognosis using a prediction model for precise post-treatment care and follow-up; (iii) to develop a knowledge base of cervical clinical auxiliary diagnosis and prognosis prediction using artificial intelligence and machine learning approaches; and (iv) to roughly map the burden of cervical cancer in different districts and monitoring the trend in incidence of cervical cancer to potentially inform prevention and control strategies. Patients eligible for inclusion were those diagnosed with cervical cancer, whether during an outpatient visit or hospital admission, at 47 different types of medical institutions in 19 cities of 11 provinces across mainland China between 2004 and 2018. In a total, 63 926 patients with cervical cancer were enrolled in the cohort. Since the project inception, a large number of standardized variables have been collected, including epidemiological characteristics, cervical cancer-related symptoms, physical examination results, laboratory testing results, imaging reports, tumor biomarkers, tumor staging, tumor characteristics, comorbidities, co-infections, treatment and short-term complications. Follow-up was performed at least once every 6 months within the first 5 years after receiving treatment and then annually thereafter. At present, we are developing a cervical cancer imaging database containing Dicom files with data of computed tomography/magnetic resonance imaging examination. Additionally, we are also collecting original pathological specimens of patients with cervical cancer. Potential collaborators are welcomed to contact the corresponding authors, and anyone can submit at least one specific study proposal describing the background, objectives and methods of the study.
Determinants of Sports Injury in Young Female Swedish Competitive Figure Skaters
Authors: Jederström Moa , Agnafors Sara , Ekegren Christina , Fagher Kristina , Gauffin Håkan , Korhonen Laura , Park Jennifer , Spreco Armin , Timpka Toomas 
Published: June 2021

Introduction: Although figure skating attracts several hundred thousand participants worldwide, there is little knowledge about physical health and sports injuries among young skaters. The present study aimed to describe the health status of a geographically defined Swedish population of licensed competitive figure skaters and to examine injury determinants.Methods: All licensed competitive skaters in the southeastern region of Sweden were in April 2019 invited to participate in a cross-sectional study using an online questionnaire. Multiple binary logistic regression was used for the examination of injury determinants. The primary outcome measure was the 1-year prevalence of a severe sports injury episode (time loss &gt;21 days). The secondary outcome measure was the point prevalence of an ongoing injury. The determinants analyzed were age, skating level, relative energy deficiency indicators, and training habits.Results: In total, 142 (36%) skaters participated, 137 (96%) girls [mean (SD) age: 12.9 (SD 3.0) years]. Participating boys (n = 5) were excluded from further analysis. The 1-year prevalence of a severe sports injury episode was 31%. The most common injury locations for these injuries were the knee (25%), ankle (20%), and hip/groin (15%). In the multiple model, having sustained a severe injury episode was associated with older age (OR 1.2, 95% CI 1.1–1.4; p = 0.002) and an increased number of skipped meals per week (OR 1.1, 95% CI 1.0–1.3; p = 0.014). The point prevalence of an ongoing injury episode was 19%. The most common locations were the knee (24%), ankle (24%), and foot (24%). Having an ongoing injury episode was associated with older age (OR 1.4, 95% CI 1.2–1.7; p &lt; 0.001) and an increased number of skipped meals per week (OR 1.1, 95% CI 1.0–1.3; p = 0.049).Conclusion: One-third of young female Swedish competitive figure skaters had sustained a severe injury episode during the past year, and a fifth reported an ongoing episode. Older age and an increased number of skipped meals per week were associated with a sports injury episode. Long-term monotonous physical loads with increasing intensity and insufficient energy intake appear to predispose for injury in young female figure skaters. Further examination of injury determinants among competitive figure skaters is highly warranted.
AÇÕES DE FORMAÇÃO, EDUCAÇÃO EM SAÚDE E ACESSIBILIDADE NO PROGRAMA PARADESPORTO DA CIDADE DE BLUMENAU
Authors: Soler Rodrigo Diaz de Vivar y , Silva Anamaria Araujo da , Hoppe Aurélio Faustino , Mattos Luciana Bisio , Nemetz Stella Maris Martins Cruz Castelo de Souza , Nunes Carlos Roberto de Oliveira , Raimundo Mahasiãh , Nuss Mateus Artur Pereira , Spiess Andréia Nathalli , Frischknecht Gabriela , Baptista Beatriz Germer , Hoffmann Nathana Luana , Haupt Paola Ruana , Scharf Ruan Jupiaruma Dos Santos , Chirolli Giselle Margot 
Published: June 2021

Este artigo procura apresentar uma experiência de extensão desenvolvida entre os anos de 2018 e 2019 pelos cursos de Psicologia, Ciências da Computação, Nutrição e Arquitetura, junto ao Programa Paradesporto desenvolvido na cidade de Blumenau. A partir de diversas ações multiprofissionais, essa experiência procurou intensificar estratégias voltadas para a formação, a educação em saúde e a acessibilidade de educadores, paraatlétas e familiares a partir de uma perspectiva de promoção da cidadania e da articulação entre a Universidade Regional de Blumenau e as demandas recolhidas pelos participantes do programa paradesporto. Destaca-se a importância e necessidade dessas ações voltadas para o exercício da cidadania das pessoas com deficiência, seus familiares e demais atores vinculados ao Programa Paradesporto em Blumenau.
USO DE METODOLOGIAS ATIVAS NO ENSINO DE PRIMEIROS SOCORROS EM AMBIENTE ESCOLAR
Authors: Lago Karen dos Santos , Silva Alessandra Aparecida da , Gomes Maini Aparecida de Freitas , Silva Nádia Cristina Rodrigues da , Rodrigues Samuel Barroso , Almeida Camila Souza de 
Published: June 2021

O relato tem como objetivo descrever ações de um projeto de extensão cujo objetivo foi a capacitação de adolescentes escolares acerca dos Primeiros socorros em situações de emergência. Para tal feito foi utilizada a Simulação Realística como técnica de ensino-aprendizagem, tendo sido elencadas três temáticas para a realização das simulações: engasgamento, convulsões e Ressuscitação Cardiopulmonar (RCP). Ao longo dos encontros foi possível observar que os adolescentes e seus educadores conhecem pouco sobre técnicas de Primeiros Socorros. Conclui-se que a experiência vivenciada por meio do projeto de extensão permitiu identificar que a simulação realística se constituiu em importante ferramenta de ensino-aprendizagem sobre Primeiros Socorros, sobretudo pela carência de conhecimento sobre esta temática por parte dos adolescentes e seus educadores. Tais achados reforçam a necessidade de investir de forma mais difundida sobre essa temática no ambiente escolar, fundamentando a urgente necessidade da inserção da disciplina como matéria obrigatória desde a educação infantil.
Simulation study for cross-sectional absorption distribution in turbid medium using spatially resolved backscattered light with lateral scanning and one-dimensional solution of nonlinear inverse problem
Authors: Nishida Kazuhiro , Kato Yuji , Kudo Nobuki , Shimizu Koichi 
Published: June 2021

Abstract
For a practical technique of cross-sectional imaging of animal bodies, we developed a new method using spatially resolved backscattered light. This method is based on the solution of the one-dimensional nonlinear inverse problem, and on the lateral scan of the source–detector pair along the object surface. Using this method, unknown variables in inverse problems can be reduced more greatly than when using conventional methods. A stable solution for the inverse problem becomes possible. The possibility of using the proposed method was assessed using simulation analysis. The results verified that cross-sectional imaging from several to 10 millimeter depths is possible for animal tissue. This analysis clarified the specific spatial resolution and accuracy in the estimated absorption coefficient. Distortionless imaging was confirmed. Results suggest that the proposed method represents new options as a stable and practical method for biological cross-sectional imaging.
Análisis bibliométrico como herramienta para el seguimiento de producción científica sobre salud mental en estudiantes universitarios de pregrado
Authors: Sánchez Neida Estefany , Muñoz Macías Kelly Jhoana , Montenegro Espitia Luis Camilo , Camargo Barrero José Antonio 
Published: June 2021

La presente investigación tuvo como objetivo describir el estado actual de las investigaciones en salud mental de estudiantes universitarios. La muestra final estuvo constituida por 52 artículos, los cuales se buscaron en las bases de datos de Scielo, Dialnet, Redalyc y algunos portales de publicación de psicología de libre acceso; cada uno de estos artículos se codificó a fin de establecer las temáticas con mayor prioridad investigativa, los años de publicación registrados, las bases de datos y revistas que presentaron una mayor frecuencia de publicación, entre otros aspectos importantes. Entre los resultados más relevantes se resalta la mayor frecuencia de temáticas de investigación relacionadas con trastornos, la falta de sucesión en líneas de investigación y profundización, la poca relevancia dada a las investigaciones de tipo cualitativo y la tendencia a investigar esta temática en estudiantes universitarios que se encuentran cursando carreras como medicina y psicología.
Necesidades académicas de los estudiantes universitarios con discapacidad
Authors: Pórtela Escandón Nancy Yaneth 
Published: June 2021

La discapacidad es un tema que se aborda desde muchos ejes, que pretende mostrar inclusión en una sociedad que aún no detiene su mirada para llegar a fondo de las verdaderas necesidades de esta población, es un tema que se ha venido tratando a nivel mundial donde se han generado múltiples estrategias de acción pero que no han logrado sensibilizar a todos los sectores; la educación no está exenta del tema, porque las instituciones, administrativos y cuerpo docente juegan un papel fundamental. De acuerdo lo anterior se realiza una reflexión partiendo de la revisión de los conceptos de discapacidad, antecedentes y principales necesidades; para llegar a generar una visión de la labor docente que se tiene con los estudiantes con discapacidad, haciendo mayor énfasis en la formación universitaria.
A Canonical Transformation to Eliminate Resonant Perturbations. I.
Authors: Deme Barnabás , Kocsis Bence 
Published: June 2021

Abstract
We study dynamical systems that admit action-angle variables at leading order, which are subject to nearly resonant perturbations. If the frequencies characterizing the unperturbed system are not in resonance, the long-term dynamical evolution may be integrated by orbit-averaging over the high-frequency angles, thereby evolving the orbit-averaged effect of the perturbations. It is well known that such integrators may be constructed via a canonical transformation, which eliminates the high-frequency variables from the orbit-averaged quantities. An example of this algorithm in celestial mechanics is the von Zeipel transformation. However, if the perturbations are inside or close to a resonance, i.e., the frequencies of the unperturbed system are commensurate; these canonical transformations are subject to divergences. We introduce a canonical transformation that eliminates the high-frequency phase variables in the Hamiltonian without encountering divergences. This leads to a well-behaved symplectic integrator. We demonstrate the algorithm through two examples: a resonantly perturbed harmonic oscillator and the gravitational three-body problem in mean motion resonance.