Article
Computer Science, Artificial Intelligence
Xin Feng, Jia Yao
Summary: Every aspect of our everyday lives is being revolutionized by the advent and development of information technology, which has resulted in increased productivity and efficiency. Smart and intelligent systems based on IT are also playing an increasingly important role in the development of high-quality education. During the COVID-19 pandemic, information and communication technologies were extremely successful, and educational institutions were able to continue their operations online with ease thanks to the usage of various modern technologies.
Article
Education & Educational Research
Liping Jiang, Xiaodong Liang
Summary: The online and offline blended learning mode based on SPOC has become popular in higher institutions due to the COVID-19 pandemic. However, EFL students in SPOC-based blended learning environments still face issues of low participation and persistent intention. This study explores the influencing factors of EFL students' continuance intentions to learn under the SPOC blended learning environment and proposes a theoretical model and a systematic framework for improving their intentions.
EDUCATION AND INFORMATION TECHNOLOGIES
(2023)
Article
Education & Educational Research
Christopher C. Y. Yang, Hiroaki Ogata
Summary: Blended learning (BL) is an effective strategy that combines traditional face-to-face classroom activities with online learning tools. Using digital notes in e-books is a useful feature. This study explores the sequential patterns of e-book note-taking for self-regulated learning (SRL) in a blended learning course. The results show differences in note-taking behavior between high-achieving and low-achieving blended learners. This research can assist educators in providing evidence-based educational feedback to enhance SRL and course achievement in BL.
EDUCATIONAL TECHNOLOGY & SOCIETY
(2023)
Article
Psychology, Multidisciplinary
Thomas K. F. Chiu
Summary: In a blended learning environment, digital support is more effective than teacher support in engaging students by fulfilling their needs. Teacher support is closely related to student engagement, while the relationship between digital support and student engagement varies depending on factors such as offering multiple modalities and emotional designs.
COMPUTERS IN HUMAN BEHAVIOR
(2021)
Article
Education & Educational Research
Zainab Mohammad Gaffas
Summary: This study compared Saudi students' perceptions of e-learning and blended learning in English for specific purposes classes. The results showed that students in both modes had similar evaluations of course structure, individual learning processes, and learning outcomes. However, students in the virtual group were better at using the learning management system and showed more enthusiasm for working in small groups with other students.
EDUCATION AND INFORMATION TECHNOLOGIES
(2023)
Article
Psychology, Multidisciplinary
Bin Yin, Chih-Hung Yuan
Summary: The study found that in a blended learning environment, perceived precision teaching has a remote and indirect relationship with student learning performance. Self-efficacy and learning motivation have a positive impact on learning performance, and cognitive, teaching, and social presence also directly influence learning performance.
FRONTIERS IN PSYCHOLOGY
(2021)
Review
Pediatrics
Dominic A. Fitzgerald, Karen M. Scott, Michael S. Ryan
Summary: The traditional face-to-face medical education was disrupted by the COVID-19 pandemic, leading to a rapid transition to online learning. However, this shift has provided opportunities for the development of blended and e-learning platforms, requiring effort and adjustment from educators and learners. Evaluating learning outcomes, satisfaction, and retention of knowledge will be crucial for the success of these innovative teaching practices in medical education.
EUROPEAN JOURNAL OF PEDIATRICS
(2022)
Article
Education & Educational Research
Meina Zhu, Sarah Berri, Ke Zhang
Summary: This case study investigated effective instructional strategies and technology use in blended learning in a graduate course in the USA. The findings highlighted the importance of real-time interactions with peers and immediate feedback from peers and the instructor in motivating learners and improving the quality of their work. Learning technologies played a critical role in blended learning, but should be simplified and streamlined to reduce learners' cognitive load.
EDUCATION AND INFORMATION TECHNOLOGIES
(2021)
Article
Environmental Sciences
Narges Takhtkeshha, Ali Mohammadzadeh, Bahram Salehi
Summary: This paper proposes a novel deep-learning-based method for rapid post-earthquake building damage detection. By combining satellite images obtained by UAVs with automatic selection of training samples and machine learning algorithms, accurate building damage maps can be generated.
Article
Education & Educational Research
Ujjwal Biswas, Samit Bhattacharya
Summary: The application of machine learning has significantly improved learning outcomes in blended classroom settings. A proposed ML-based intelligent real-time feedback system provides students and teachers with real-time feedback, using prediction models and dynamic timing based on historic feedback statistics. The design elements of dynamic timing, choice of peripheral devices, and feedback modalities are crucial in integrating the system with blended classes. The high usability scores indicate the promising potential of this intelligent system design.
EDUCATION AND INFORMATION TECHNOLOGIES
(2023)
Article
Green & Sustainable Science & Technology
Xiuhan Li, Qi Xia, Samuel Kai Wah Chu, Yuqin Yang
Summary: This study investigates the role of gamification in children's English learning in Hong Kong through a gamified e-learning system. The findings show that the gamified learning system helps students gain interest in self-regulated learning and improves their academic performance. It also facilitates the development of self-regulated learning strategies and reveals a connection between gamification and students' self-regulated learning.
Review
Psychology, Multidisciplinary
Ming Li, Zhonggen Yu
Summary: This study investigates metaverse-based blended English learning and aims to provide a model that connects education-based metaverse for learners' academic success. It also discusses the importance of digital literacy and suggests necessary support for educational institutions and metaverse platform designers.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Social Sciences, Interdisciplinary
Shu-rong Zhao, Cui-hong Cao
Summary: Collaboration is an effective way to facilitate student engagement and solve common problems in blended learning. Self-regulated learning, self-efficacy, and engagement are key elements in effective blended learning, and their interaction is closely related to student performance.
Article
Education & Educational Research
Bin Yin, Chih-Hung Yuan
Summary: This paper explores the influence mechanism of blended learning performance using three types of presences, community of inquiry and self-efficacy. The results indicate that teaching presence has a significant influence on learning performance and is positively correlated with cognitive presence and social presence. Furthermore, cognitive presence and social presence are positively correlated with learning performance. Self-efficacy plays a moderating role in the relationship between teaching presence and cognitive presence and social presence.
ASIA PACIFIC JOURNAL OF EDUCATION
(2022)
Article
Education & Educational Research
Tsung-Hsien Kuo, Han-Kuang Tien
Summary: This study explores the impact of art-based methods and blended teaching strategies on the creativity of business school students, and determines how training effects can be maintained through longitudinal tracking. The findings suggest that art-based methods enhance students' creative ability, and there is no significant difference in creative training between blended and traditional teaching methods. Self-regulated and self-directed learning positively influence the effectiveness of training over time.
EDUCATION AND TRAINING
(2022)
Article
Medicine, General & Internal
Rohit Philip Thomas, Simon Viniol, Alexander Marc Koenig, Irene Portig, Zaher Swaid, Andreas H. Mahnken
Summary: The study evaluated the safety, efficiency, and learning curve of an automated CO2 injection system in peripheral arterial interventions, as well as patients' tolerance to the system. The results showed that automated CO2 angiography is technically feasible and safe for peripheral arterial interventions, and is well tolerated by patients.
Review
Radiology, Nuclear Medicine & Medical Imaging
Martin Fiebich, Andreas Block, Markus Borowski, Lilli Geworski, Christian Happel, Alexandra Kamp, Horst Lenzen, Andreas H. Mahnken, Wolfgang-Ulrich Mueller, Gebhard Oestreicher, Frank Rudolf, Georg Stamm, Peter Starck, Beatrice Steiniger, Jan-Henryk Wicke, Ulrich Wolf, Michael Wucherer, Maria Zankl, Klemens Zink, Claudia Zweig
Summary: This review provides guidance on assessing the exposure of pregnant women to X-rays and determining the dose to the unborn child. In general, the use of X-rays in pregnant women in radiology should be avoided, with alternatives or postponement of examinations recommended. Low radiation exposures under 20 mSv are typically found in the vast majority of cases in X-ray diagnostics for the unborn child, with higher doses only occurring in a few types of examinations.
ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN
(2021)
Article
Cardiac & Cardiovascular Systems
Andreas H. Mahnken, Esther Boullosa Seoane, Allesandro Cannavale, Michiel W. de Haan, Rok Dezman, Roman Kloeckner, Gerard O'Sullivan, Anthony Ryan, Georgia Tsoumakidou
Summary: Interventional radiology has evolved into a recognized clinical specialty, focusing on minimally invasive patient care. By describing principles of practice, organizational standards, and infrastructure, the quality of care in IR can be improved. IR procedures cover a wide range of medical conditions and interventional radiologists are responsible for the ultimate outcomes of patient care.
CARDIOVASCULAR AND INTERVENTIONAL RADIOLOGY
(2021)
Correction
Cardiac & Cardiovascular Systems
Andreas H. Mahnken, Esther Boullosa Seoane, Alessandro Cannavale, Michiel W. de Haan, Rok Dezman, Roman Kloeckner, Gerard O'Sullivan, Anthony Ryan, Georgia Tsoumakidou
CARDIOVASCULAR AND INTERVENTIONAL RADIOLOGY
(2021)
Article
Cardiac & Cardiovascular Systems
Joel Wessendorf, Alexander Konig, Hendrik Heers, Andreas H. Mahnken
Summary: The study found that radiofrequency ablation (RFA) is safe and effective for treating renal cell carcinomas in patients with Von Hippel-Lindau disease, and can preserve sufficient renal function even after renal surgery, with low risk of recurrence.
CARDIOVASCULAR AND INTERVENTIONAL RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Robin Etzel, Choukri Mekkaoui, Ekaterina S. Ivshina, Timothy G. Reese, David E. Sosnovik, Sam-Luca J. D. Hansen, Anpreet Ghotra, Nicolas Kutscha, Chaimaa Chemlali, Lawrence L. Wald, Andreas H. Mahnken, Boris Keil
Summary: The study compared three 64-channel cardiac coil array configurations and found that the C-Dense array with non-uniform loop density demonstrated the best performance in terms of SNR and SMS encoding power in cardiac imaging. Optimized non-uniform loop density and size play a positive role in enabling highly accelerated SMS cardiac MRI.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Oncology
Benedikt R. Wagner, Anna L. Adamus, Dorthe Sonnecken, Reza Vahdad, Paul Jank, Carsten Denkert, Andreas H. Mahnken, Guido Seitz
Summary: The established mouse model for evaluation of HIPEC in pediatric RMS showed early effects on tumor proliferation and circumstantial apoptosis effects at the tumor surface with cisplatin-based HIPEC. MRI scans confirmed tumor dissemination.
PEDIATRIC BLOOD & CANCER
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Sabine Dettmer, Joerg Barkhausen, Erik Volmer, Hans-Joachim Mentzel, Sebastian Reinartz, Florian Voigt, Frank K. Wacker, Bettina Baessler, G. Adam, G. Antoch, U. Attenberger, F. Bamberg, J. Barkhausen, M. Beer, T. Bley, A. Buecker, T. Denecke, C. Dueber, M. Forsting, B. Hamm, W. Heindel, R-T Hoffmann, N. Hosten, O. Jansen, H. U. Kauczor, G. Krombach, T. J. Kroencke, C. Kuhl, J. Lotz, A. Mahnken, D. Maintz, M. Makowski, K. Nikolaou, M. Pech, J. Ricke, E. Rummeny, S. Schoenberg, A. Schreyer, C. Stroszczynski, U. Teichgraeber, M. Uder, T. Vogl, F. Wacker, M-A Weber, W. Wohlgemuth, F. Anton, A. Dorfler, F. Koerber, G. Layer, S. Neumann, S. Schonberg, J. Wessling, M. Wucherer, S. Afat, B. Baessler, S. Dettmer, A. Frisch, O. Goldschmidt, N. L. Hansen, E. Hattingen, H. J. Mentzel, I Molwitz, K. Mueller-Peltzer, D. Pinto dos Santos, S. Reinartz, F. Rengier, U. Teichgraber, T. J. Vogl, M. Voelker, M. Weis
Summary: The study aimed to develop a new curriculum for radiology in medical studies, reach a national consensus, and integrate it into the new national competence-based learning objectives catalog. The German Radiological Society has developed a competency-based curriculum and provided suggestions for practical implementation. The curriculum is designed to equip students with essential skills for future medical practice and includes topics such as Radiation Protection, Radiological Methods, Digital Skills, and specific diseases of individual organ systems.
ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Rohit P. Thomas, Moritz B. Bastian, Simon Viniol, Alexander M. Koenig, Sandeep S. Amin, Osama Eldergash, Johannes Schnabel, Marcell Gyano, David Szollosi, Istvan Gog, Janos P. Kiss, Szabolcs Osvath, Krisztian P. Szigeti, Andreas H. Mahnken
Summary: This study evaluated the potential benefits of digital variance angiography (DVA) in selective lower limb angiography and compared two DVA algorithms (conventional DVA1 and the recently developed DVA2) with digital subtraction angiography (DSA). Regardless of the contrast agent used, both DVA algorithms showed increased contrast-to-noise ratio (CNR) and significantly better image quality than DSA. DVA1 was preferred for its identical or better image quality compared to DVA2. DVA has the potential to aid in interventional decision-making and could potentially help with dose management in the future.
JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Andreas H. Mahnken
Summary: According to the German S3 guideline, radiofrequency ablation and microwave ablation have similar survival rates compared to surgery in the treatment of hepatocellular carcinoma. Combination of transarterial chemoembolization and thermal ablation is recommended for hepatocellular carcinomas with diameters of 3-5 cm.
Article
Gastroenterology & Hepatology
M. Zumblick, P. Stathopoulos, T. M. Gress, A. H. Mahnken, U. W. Denzer
Article
Oncology
Max C. Lindemann, Lukas Glaenzer, Anjali A. Roeth, Thomas Schmitz-Rode, Ioana Slabu
Summary: Three-dimensional models of tumor vascular networks are important for in vitro and in silico investigations, and can potentially be used for the development of in vitro systems. This work presents an algorithm-based method using histologic slices to reconstruct a 3D vascular network model with high resolution and accuracy.
Proceedings Paper
Computer Science, Artificial Intelligence
Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, Andre Klein, Jan Siad El Barbari, Maxim Privalov, Sven Vetter, Andreas Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein
Summary: The proposed method achieves successful transfer from simulated to real X-rays, demonstrating superior accuracy, robustness, and generalization capabilities on real X-rays compared to the state-of-the-art direct pose regression framework. By closely reflecting on actual clinical decision-making, the pipeline explicitly incorporates key steps including ROI localization, detection of relevant landmarks, and pose regression.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2021, PT IV
(2021)
Article
Endocrinology & Metabolism
Alexander M. Koenig, Ulrich Koehler, Olaf Hildebrandt, Hans Schwarzbach, Lena Hannemann, Raphael Boneberg, Johannes T. Heverhagen, Andreas H. Mahnken, Malte Keller, Peter H. Kann, Hans-Peter Deigner, Nico Laur, Ralf Kinscherf, Wulf Hildebrandt
Summary: Research suggests that patients with obstructive sleep apnea often experience intramuscular and extramuscular lipid accumulation around 7 am, possibly due to increased circulating free fatty acids overnight. Continuous positive airway pressure therapy can significantly reduce extramuscular lipid accumulation.
JOURNAL OF THE ENDOCRINE SOCIETY
(2021)
Article
Cardiac & Cardiovascular Systems
M. B. Bastian, A. M. Koenig, S. Viniol, M. Gyano, D. Szollosi, I Gog, J. P. Kiss, S. Osvath, K. Szigeti, A. H. Mahnken, R. P. Thomas
Summary: This study evaluated the use of DVA in lower-limb angiography with metal implants and found that DVA provided significantly improved image quality compared to DSA imaging. The higher CNR in DVA images suggests that this approach could potentially reduce radiation exposure in lower-limb angiography with metal implants.
CARDIOVASCULAR AND INTERVENTIONAL RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hila Tal Tamir, Dana Stav, Yitzhac Hadad, Rivka Kessner
Summary: This study aimed to characterize thyroid nodules seen on Spectral Detector computed tomography (SDCT) and compare them with their Thyroid Imaging Reporting and Data System (TI-RADS) category on Ultrasound (US). The results showed that the spectral results of SDCT can assist in differentiating thyroid nodules of different risk levels.
EUROPEAN JOURNAL OF RADIOLOGY
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Volha Nizhnikava, Ursula Reiter, Gabor Kovacs, Clemens Reiter, Corina Kraeuter, Horst Olschewski, Michael Fuchsjaeger, Gert Reiter
Summary: The purpose of this study was to investigate the associations between cardiac magnetic resonance feature-tracking-derived myocardial strain parameters and volumetric function and hemodynamic parameters in patients with pulmonary hypertension. The results showed that impairment of myocardial strains was more strongly associated with alterations in ventricular function parameters than elevated pulmonary arterial pressure, limiting the diagnostic information of myocardial strain parameters in pulmonary hypertension.
EUROPEAN JOURNAL OF RADIOLOGY
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yu-ling Qian, Rui-lin Quan, Xiao-xi Chen, Yang-yi Lin, Xiao-li Jing, Qing Gu, Chang-ming Xiong, Jian-guo He, Ai-hua Zhi
Summary: The purpose of this study was to investigate the imaging characteristics and prognostic factors for the long-term survival of Behcet's disease (BD) with arterial involvement. The results showed that arterial lesions associated with BD usually involve multiple arteries and manifest differently in different types of arteries. Cardiac involvement and pulmonary artery aneurysm/dilation were independent prognostic factors for the survival of BD patients with arterial involvement.
EUROPEAN JOURNAL OF RADIOLOGY
(2024)
Letter
Radiology, Nuclear Medicine & Medical Imaging
Yong Xie, Jian Wang, Yinghua Zou
EUROPEAN JOURNAL OF RADIOLOGY
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Daria Kifjak, Maximilian Hochmair, Daniel Sobotka, Alexander R. Haug, Raphael Ambros, Florian Prayer, Benedikt H. Heidinger, Sebastian Roehrich, Ruxandra-Iulia Milos, Wolfgang Wadsak, Thorsten Fuereder, Dagmar Krenbek, Andreas Fazekas, Michael Meilinger, Marius E. Mayerhoefer, Georg Langs, Christian Herold, Helmut Prosch, Lucian Beer
Summary: The ability of pretreatment PET parameters and peripheral blood biomarkers to predict PFS and OS in NSCLC patients treated with ICIT was assessed. The study found that MTV and the number of SOI were independent risk factors for progression and overall survival, and the combination of these factors improved risk stratification.
EUROPEAN JOURNAL OF RADIOLOGY
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Theresa Sophie Patzer, Jan-Peter Grunz, Henner Huflage, Jan-Lucca Hennes, Pauline Pannenbecker, Philipp Gruschwitz, Saif Afat, Judith Herrmann, Thorsten Alexander Bley, Andreas Steven Kunz
Summary: This study investigated the potential of tin prefiltration and virtual monoenergetic imaging (VMI) in suppressing metal artifacts in high-resolution CT images of the lower extremities. The results showed that VMI reconstructions had better artifact reduction compared to T3D. VMI110keV had the least image noise. In terms of image quality, interpretability of bone-metal interface, and overall image quality, VMI110keV performed the best.
EUROPEAN JOURNAL OF RADIOLOGY
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yue Li, Huan Zhang, Lei Yue, Caixia Fu, Robert Grimm, Wenhua Li, Weijian Guo, Tong Tong
Summary: This study evaluated and compared the diagnostic value of diffusion-related texture analysis parameters from different magnetic resonance diffusion models in predicting the clinical response to chemotherapy in patients with colorectal liver metastases. Among the models, DKI-derived parameters showed the best performance for early prediction, followed by IVIM-derived parameters and DWI baseline features.
EUROPEAN JOURNAL OF RADIOLOGY
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Lu Wang, ShiXiong Zhang, Jun Xin
Summary: This study aimed to determine if sex differences in abdominal visceral fat composition and metabolism can help predict the prognosis of DLBCL patients. The results showed that females with certain fat composition and metabolism characteristics had worse progression-free survival, while no significant differences were found in males with DLBCL.
EUROPEAN JOURNAL OF RADIOLOGY
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yu-ping Wu, Lan Wu, Jing Ou, Jin-ming Cao, Mao-yong Fu, Tian-wu Chen, Erika Ouchi, Jiani Hu
Summary: This study aimed to develop CT radiomics models to preoperatively identify lymph node (LN) status in resectable esophageal squamous cell carcinoma (ESCC) patients. The results showed that the combined model, integrating ESCC and LN radiomics features with clinical features, had the highest predictive ability among the three models. The combined model's predictive ability was validated in both the test and external validation cohorts.
EUROPEAN JOURNAL OF RADIOLOGY
(2024)