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  1. Article: Personalized intrahepatic cholangiocarcinoma prognosis prediction using radiomics: Application and development trend.

    Chen, Pengyu / Yang, Zhenwei / Zhang, Haofeng / Huang, Guan / Li, Qingshan / Ning, Peigang / Yu, Haibo

    Frontiers in oncology

    2023  Volume 13, Page(s) 1133867

    Abstract: Radiomics was proposed by Lambin et al. in 2012 and since then there has been an explosion of related research. There has been significant interest in developing high-throughput methods that can automatically extract a large number of quantitative image ... ...

    Abstract Radiomics was proposed by Lambin et al. in 2012 and since then there has been an explosion of related research. There has been significant interest in developing high-throughput methods that can automatically extract a large number of quantitative image features from medical images for better diagnostic or predictive performance. There have also been numerous radiomics investigations on intrahepatic cholangiocarcinoma in recent years, but no pertinent review materials are readily available. This work discusses the modeling analysis of radiomics for the prediction of lymph node metastasis, microvascular invasion, and early recurrence of intrahepatic cholangiocarcinoma, as well as the use of deep learning. This paper briefly reviews the current status of radiomics research to provide a reference for future studies.
    Language English
    Publishing date 2023-03-23
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2023.1133867
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Performance, Health, and Psychological Challenges Faced by Students of Physical Education in Online Learning during COVID-19 Epidemic: A Qualitative Study in China.

    Laar, Rizwan Ahmed / Ashraf, Muhammad Azeem / Ning, Jin / Ji, Peigang / Fang, Ping / Yu, Tianran / Khan, Muhammad Naeem

    Healthcare (Basel, Switzerland)

    2021  Volume 9, Issue 8

    Abstract: The spread of COVID-19 has led students to take classes online (rather than face-to-face) worldwide, including in China. For this study, we conducted qualitative focus group discussions to identify the experience of and difficulties faced by online ... ...

    Abstract The spread of COVID-19 has led students to take classes online (rather than face-to-face) worldwide, including in China. For this study, we conducted qualitative focus group discussions to identify the experience of and difficulties faced by online physical education students in higher education taking online classes, including the impact on their physical activity performance, as well as some health problems they face while taking online classes during the quarantine period, such as weight gain, depression, and anxiety. Finally, utilizing Mayer's learning model as a conceptual framework, we propose a method that addresses how to effectively manage an optimal future learning system for physical education students, both during and after the COVID-19 outbreak situation. During the isolation period of COVID-19, the required equipment for the participants was rarely available at home while attending the online classes, which inevitably reduced the number of physical education units that could be conveyed. This resulted in a transfer of attention from competition to underperformance, weight gain, and adverse psychological conditions. We conclude that it is important to review and systematize the methods of online physical education learning, particularly highlighting the cultural and educational characteristics of different countries, and to investigate the effectiveness of online physical education as a whole.
    Language English
    Publishing date 2021-08-11
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2721009-1
    ISSN 2227-9032
    ISSN 2227-9032
    DOI 10.3390/healthcare9081030
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  3. Article ; Online: Performance, Health, and Psychological Challenges Faced by Students of Physical Education in Online Learning during COVID-19 Epidemic

    Rizwan Ahmed Laar / Muhammad Azeem Ashraf / Jin Ning / Peigang Ji / Ping Fang / Tianran Yu / Muhammad Naeem Khan

    Healthcare, Vol 9, Iss 1030, p

    A Qualitative Study in China

    2021  Volume 1030

    Abstract: The spread of COVID-19 has led students to take classes online (rather than face-to-face) worldwide, including in China. For this study, we conducted qualitative focus group discussions to identify the experience of and difficulties faced by online ... ...

    Abstract The spread of COVID-19 has led students to take classes online (rather than face-to-face) worldwide, including in China. For this study, we conducted qualitative focus group discussions to identify the experience of and difficulties faced by online physical education students in higher education taking online classes, including the impact on their physical activity performance, as well as some health problems they face while taking online classes during the quarantine period, such as weight gain, depression, and anxiety. Finally, utilizing Mayer’s learning model as a conceptual framework, we propose a method that addresses how to effectively manage an optimal future learning system for physical education students, both during and after the COVID-19 outbreak situation. During the isolation period of COVID-19, the required equipment for the participants was rarely available at home while attending the online classes, which inevitably reduced the number of physical education units that could be conveyed. This resulted in a transfer of attention from competition to underperformance, weight gain, and adverse psychological conditions. We conclude that it is important to review and systematize the methods of online physical education learning, particularly highlighting the cultural and educational characteristics of different countries, and to investigate the effectiveness of online physical education as a whole.
    Keywords COVID-19 ; quarantine ; online classes ; health issues ; physical education students ; weight gain ; Medicine ; R
    Subject code 796
    Language English
    Publishing date 2021-08-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Author Correction: Giant room temperature anomalous Hall effect and tunable topology in a ferromagnetic topological semimetal Co

    Li, Peigang / Koo, Jahyun / Ning, Wei / Li, Jinguo / Miao, Leixin / Min, Lujin / Zhu, Yanglin / Wang, Yu / Alem, Nasim / Liu, Chao-Xing / Mao, Zhiqiang / Yan, Binghai

    Nature communications

    2020  Volume 11, Issue 1, Page(s) 4769

    Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper. ...

    Abstract An amendment to this paper has been published and can be accessed via a link at the top of the paper.
    Language English
    Publishing date 2020-09-16
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-020-18687-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Author Correction

    Peigang Li / Jahyun Koo / Wei Ning / Jinguo Li / Leixin Miao / Lujin Min / Yanglin Zhu / Yu Wang / Nasim Alem / Chao-Xing Liu / Zhiqiang Mao / Binghai Yan

    Nature Communications, Vol 11, Iss 1, Pp 1-

    Giant room temperature anomalous Hall effect and tunable topology in a ferromagnetic topological semimetal Co2MnAl

    2020  Volume 1

    Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper. ...

    Abstract An amendment to this paper has been published and can be accessed via a link at the top of the paper.
    Keywords Science ; Q
    Language English
    Publishing date 2020-09-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Giant room temperature anomalous Hall effect and tunable topology in a ferromagnetic topological semimetal Co2MnAl

    Peigang Li / Jahyun Koo / Wei Ning / Jinguo Li / Leixin Miao / Lujin Min / Yanglin Zhu / Yu Wang / Nasim Alem / Chao-Xing Liu / Zhiqiang Mao / Binghai Yan

    Nature Communications, Vol 11, Iss 1, Pp 1-

    2020  Volume 8

    Abstract: Band topology of Weyl semimetals is usually predetermined by material parameters and can hardly be manipulated, and their transport properties appear at low temperature. Here, the authors modify the topology via a weak magnetic field and observe a giant ... ...

    Abstract Band topology of Weyl semimetals is usually predetermined by material parameters and can hardly be manipulated, and their transport properties appear at low temperature. Here, the authors modify the topology via a weak magnetic field and observe a giant anomalous Hall effect at room temperature.
    Keywords Science ; Q
    Language English
    Publishing date 2020-07-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Giant room temperature anomalous Hall effect and tunable topology in a ferromagnetic topological semimetal Co2MnAl

    Peigang Li / Jahyun Koo / Wei Ning / Jinguo Li / Leixin Miao / Lujin Min / Yanglin Zhu / Yu Wang / Nasim Alem / Chao-Xing Liu / Zhiqiang Mao / Binghai Yan

    Nature Communications, Vol 11, Iss 1, Pp 1-

    2020  Volume 8

    Abstract: Band topology of Weyl semimetals is usually predetermined by material parameters and can hardly be manipulated, and their transport properties appear at low temperature. Here, the authors modify the topology via a weak magnetic field and observe a giant ... ...

    Abstract Band topology of Weyl semimetals is usually predetermined by material parameters and can hardly be manipulated, and their transport properties appear at low temperature. Here, the authors modify the topology via a weak magnetic field and observe a giant anomalous Hall effect at room temperature.
    Keywords Science ; Q
    Language English
    Publishing date 2020-07-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning-based radiomics.

    Mao, Bing / Zhang, Lianzhong / Ning, Peigang / Ding, Feng / Wu, Fatian / Lu, Gary / Geng, Yayuan / Ma, Jingdong

    European radiology

    2020  Volume 30, Issue 12, Page(s) 6924–6932

    Abstract: Objective: To investigate the efficacy of contrast-enhanced computed tomography (CECT)-based radiomics signatures for preoperative prediction of pathological grades of hepatocellular carcinoma (HCC) via machine learning.: Methods: In this single- ... ...

    Abstract Objective: To investigate the efficacy of contrast-enhanced computed tomography (CECT)-based radiomics signatures for preoperative prediction of pathological grades of hepatocellular carcinoma (HCC) via machine learning.
    Methods: In this single-center retrospective study, data collected from 297 consecutive subjects with HCC were allocated to training dataset (n = 237) and test dataset (n = 60). Manual segmentation of lesion sites was performed with ITK-SNAP, the radiomics features were extracted by the Pyradiomics, and radiomics signatures were synthesized using recursive feature elimination (RFE) method. The prediction models for pathological grading of HCC were established by using eXtreme Gradient Boosting (XGBoost). The performance of the models was evaluated using the AUC along with 95% confidence intervals (CIs) and standard deviation, sensitivity, specificity, and accuracy.
    Results: The radiomics signatures were found highly efficient for machine learning to differentiate high-grade HCC from low-grade HCC. For the clinical factors, when they were merely applied to train a machine learning model, the model achieved an AUC of 0.6698, along with 95% CI and standard deviation of 0.5307-0.8089 and 0.0710, respectively (sensitivity, 0.6522; specificity, 0.4595; accuracy, 0.5333). Meanwhile, when the radiomics signatures were applied in association with clinical factors to train a machine learning model, the performance of the model remarkably increased with AUC of 0.8014, along with 95% CI and standard deviation of 0.6899-0.9129 and 0.0569, respectively (sensitivity, 0.6522; specificity, 0.7297; accuracy, 0.7000).
    Conclusions: The radiomics signatures could non-invasively explore the underlying association between CECT images and pathological grades of HCC.
    Key points: • The radiomics signatures may non-invasively explore the underlying association between CECT images and pathological grades of HCC via machine learning. • The radiomics signatures of CECT images may enhance the prediction performance of pathological grading of HCC, and further validation is required. • The features extracted from arterial phase CECT images may be more reliable than venous phase CECT images for predicting pathological grades of HCC.
    MeSH term(s) Adult ; Aged ; Area Under Curve ; Carcinoma, Hepatocellular/diagnostic imaging ; Carcinoma, Hepatocellular/pathology ; Diagnosis, Computer-Assisted/methods ; Female ; Humans ; Image Processing, Computer-Assisted/methods ; Liver Neoplasms/diagnostic imaging ; Liver Neoplasms/pathology ; Machine Learning ; Male ; Middle Aged ; ROC Curve ; Reproducibility of Results ; Retrospective Studies ; Sensitivity and Specificity ; Tomography, X-Ray Computed
    Language English
    Publishing date 2020-07-22
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1085366-2
    ISSN 1432-1084 ; 0938-7994 ; 1613-3749
    ISSN (online) 1432-1084
    ISSN 0938-7994 ; 1613-3749
    DOI 10.1007/s00330-020-07056-5
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3300: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  9. Article: [Quantitative analysis of hepatocellular carcinomas pathological grading in non-contrast magnetic resonance images].

    Gao, Fei / Yan, Bin / Zeng, Lei / Wu, Minghui / Tan, Hongna / Hai, Jinjin / Ning, Peigang / Shi, Dapeng

    Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi

    2019  Volume 36, Issue 4, Page(s) 581–589

    Abstract: In order to solve the pathological grading of hepatocellular carcinomas (HCC) which depends on biopsy or surgical pathology invasively, a quantitative analysis method based on radiomics signature was proposed for pathological grading of HCC in non- ... ...

    Abstract In order to solve the pathological grading of hepatocellular carcinomas (HCC) which depends on biopsy or surgical pathology invasively, a quantitative analysis method based on radiomics signature was proposed for pathological grading of HCC in non-contrast magnetic resonance imaging (MRI) images. The MRI images were integrated to predict clinical outcomes using 328 radiomics features, quantifying tumour image intensity, shape and text, which are extracted from lesion by manual segmentation. Least absolute shrinkage and selection operator (LASSO) were used to select the most-predictive radiomics features for the pathological grading. A radiomics signature, a clinical model, and a combined model were built. The association between the radiomics signature and HCC grading was explored. This quantitative analysis method was validated in 170 consecutive patients (training dataset:
    MeSH term(s) Carcinoma, Hepatocellular/diagnostic imaging ; Humans ; Liver Neoplasms/diagnostic imaging ; Magnetic Resonance Imaging ; Neoplasm Grading/methods ; ROC Curve
    Language Chinese
    Publishing date 2019-08-22
    Publishing country China
    Document type Journal Article
    ZDB-ID 2576847-5
    ISSN 1001-5515
    ISSN 1001-5515
    DOI 10.7507/1001-5515.201803014
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6887: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  10. Article ; Online: Giant room temperature anomalous Hall effect and tunable topology in a ferromagnetic topological semimetal Co

    Li, Peigang / Koo, Jahyun / Ning, Wei / Li, Jinguo / Miao, Leixin / Min, Lujin / Zhu, Yanglin / Wang, Yu / Alem, Nasim / Liu, Chao-Xing / Mao, Zhiqiang / Yan, Binghai

    Nature communications

    2020  Volume 11, Issue 1, Page(s) 3476

    Abstract: Weyl semimetals exhibit unusual surface states and anomalous transport phenomena. It is hard to manipulate the band structure topology of specific Weyl materials. Topological transport phenomena usually appear at very low temperatures, which sets ... ...

    Abstract Weyl semimetals exhibit unusual surface states and anomalous transport phenomena. It is hard to manipulate the band structure topology of specific Weyl materials. Topological transport phenomena usually appear at very low temperatures, which sets challenges for applications. In this work, we demonstrate the band topology modification via a weak magnetic field in a ferromagnetic Weyl semimetal candidate, Co
    Language English
    Publishing date 2020-07-10
    Publishing country England
    Document type Journal Article
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-020-17174-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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