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  1. Artikel ; Online: A Neural Network-based Method for Predicting Dose to Organs at Risk in Intensity-modulated Radiotherapy for Nasopharyngeal Carcinoma.

    Zhang, H-W / Pang, H-W / Wang, Y-H / Jiang, W

    Clinical oncology (Royal College of Radiologists (Great Britain))

    2023  Band 36, Heft 1, Seite(n) 46–55

    Abstract: Objective: A neural network method was used to establish a dose prediction model for organs at risk (OARs) during intensity-modulated radiotherapy (IMRT) for nasopharyngeal carcinoma (NPC).: Materials and methods: In total, 103 patients with NPC were ...

    Abstract Objective: A neural network method was used to establish a dose prediction model for organs at risk (OARs) during intensity-modulated radiotherapy (IMRT) for nasopharyngeal carcinoma (NPC).
    Materials and methods: In total, 103 patients with NPC were randomly selected for IMRT. Suborgans were automatically generated for OARs using ring structures based on distance to the target using a MATLAB program and the corresponding volume of each suborgan was determined. The correlation between the volume of each suborgan and the dose to each OAR was analysed and neural network prediction models of the OAR dose were established using the MATLAB Neural Net Fitting application. The R-value and mean square error in the regression analysis were used to evaluate the prediction model.
    Results: The OAR dose was related to the volume of the corresponding sub-OAR. The average R-values for the normalised mean dose (Dnmean) to parallel organs and serial organs and the normalised maximum dose (Dn0) to serial organs in the training set were 0.880, 0.927 and 0.905, respectively. The mean square error for each OAR in the prediction model was low (ranging from 1.72 × 10
    Conclusion: The neural network-based model for predicting OAR dose during IMRT for NPC is simple, reliable and worth further investigation and application.
    Mesh-Begriff(e) Humans ; Nasopharyngeal Carcinoma/radiotherapy ; Nasopharyngeal Neoplasms/radiotherapy ; Radiotherapy, Intensity-Modulated/adverse effects ; Radiotherapy, Intensity-Modulated/methods ; Organs at Risk ; Radiotherapy Dosage ; Neural Networks, Computer ; Radiotherapy Planning, Computer-Assisted/methods
    Sprache Englisch
    Erscheinungsdatum 2023-11-17
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1036844-9
    ISSN 1433-2981 ; 0936-6555
    ISSN (online) 1433-2981
    ISSN 0936-6555
    DOI 10.1016/j.clon.2023.11.031
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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    Verfügbar in ZB MED Köln/Königswinter

    Zs.A 2774: Hefte anzeigen Standort:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    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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  2. Artikel ; Online: Silk fibroin preserves beta cell function under inflammatory stress while stimulating islet cell surface GLUT2 expression.

    Ashari, N / Pang, H W / Simon, T / Xiong, Y / Coburn, J M / Bromberg, J S / Kaplan, D L / McLenithan, J / Fontaine, M J

    Cellular immunology

    2018  Band 329, Seite(n) 10–16

    Abstract: Silk fibroin is a novel biomaterial for enhancing transplanted islet cell function and survival. This study investigated whether silk fibroin may have unique properties that improve islet function in the face of inflammatory-mediated stress during ... ...

    Abstract Silk fibroin is a novel biomaterial for enhancing transplanted islet cell function and survival. This study investigated whether silk fibroin may have unique properties that improve islet function in the face of inflammatory-mediated stress during transplantation. Murine islet function was tested in vitro with either silk fibroin or alginate and challenged with inflammatory cytokines. The glucose-stimulated insulin secretion index for all conditions decreased with inflammatory cytokines, but was better preserved for islets exposed to silk compared to those exposed to alginate or medium. GLUT2 transporter expression on the cell surface of islets exposed to silk was increased compared to alginate or medium alone. Upon cytokine stress, a greater percentage of islet cells exposed to silk expressed GLUT2 on their surface. We conclude that preconditioning islets with silk fibroin stimulates islet cell surface GLUT2 expression, an increase, which persists under inflammatory stress, and may improve islet engraftment and function after transplantation.
    Mesh-Begriff(e) Alginates/pharmacology ; Animals ; Fibroins/metabolism ; Fibroins/pharmacology ; Fibroins/physiology ; Glucose Transporter Type 2/genetics ; Glucose Transporter Type 2/metabolism ; Inflammation ; Insulin-Secreting Cells/drug effects ; Islets of Langerhans/drug effects ; Islets of Langerhans/physiology ; Islets of Langerhans Transplantation/methods ; Islets of Langerhans Transplantation/physiology ; Male ; Mice ; Mice, Inbred C57BL ; Silk/physiology ; Stress, Physiological/drug effects
    Chemische Substanzen Alginates ; Glucose Transporter Type 2 ; Silk ; Fibroins (9007-76-5)
    Sprache Englisch
    Erscheinungsdatum 2018-04-09
    Erscheinungsland Netherlands
    Dokumenttyp Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 80094-6
    ISSN 1090-2163 ; 0008-8749
    ISSN (online) 1090-2163
    ISSN 0008-8749
    DOI 10.1016/j.cellimm.2018.04.004
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

    Volltext online

    Zusatzmaterialien

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    Verfügbar in ZB MED Köln/Königswinter

    Zs.A 417: Hefte anzeigen Standort:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

    Über subito bestellen

    Dieser Service ist kostenpflichtig (siehe Lieferbedingungen von subito). Bestellungen, die einen Artikel nebst Supplementary Material umfassen, werden grundsätzlich wie mehrfache Bestellungen bearbeitet. Gebühren fallen in diesen Fällen für jede einzelne Bestellung an.

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