دورية أكاديمية
Prediction of Normal Tissue Complication Probability (NTCP) After Radiation Therapy Using Imaging and Molecular Biomarkers and Multivariate Modelling.
| العنوان: | Prediction of Normal Tissue Complication Probability (NTCP) After Radiation Therapy Using Imaging and Molecular Biomarkers and Multivariate Modelling. |
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| المؤلفون: | Alirezaei Z; Medical Physics Department, Isfahan University of Medical Science, Isfahan, Iran., Amouheidari A; Research & Education, Department of Radiation Oncology, Isfahan Milad Hospital, Isfahan, Iran., Iraji S; Medical Physics and Biomedical Engineering Department, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran., Hassanpour M; Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran., Hejazi SH; Skin Diseases and Leishmaniosis Research Center, Department of Parasitology and Mycology, School of Medicine, Isfahan University of Medical Science, Isfahan, Iran., Davanian F; Radiology Department, School of Medicine, Isfahan University of Medical Science, Isfahan, Iran., Nami MT; Dana Health Center, Shiraz University of Medical Sciences, Shiraz, Iran., Rastaghi S; Biostatistics Department, Mashhad University of Medical Sciences, Mashhad, Iran., Shokrani P; Medical Physics Department, Isfahan University of Medical Science, Isfahan, Iran., Tsien CI; Radiation Oncology Department, Washington University, St. Louis, MO, USA., Nazem-Zadeh MR; Medical Physics and Biomedical Engineering Department, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran. mnazemzadeh@tums.ac.ir.; Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran. mnazemzadeh@tums.ac.ir. |
| المصدر: | Journal of molecular neuroscience : MN [J Mol Neurosci] 2023 Aug; Vol. 73 (7-8), pp. 587-597. Date of Electronic Publication: 2023 Jul 18. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Humana Press Country of Publication: United States NLM ID: 9002991 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1559-1166 (Electronic) Linking ISSN: 08958696 NLM ISO Abbreviation: J Mol Neurosci Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Totowa, NJ : Humana Press Original Publication: Boston : Birkhäuser [i.e. Cambridge, MA : Birkhäuser Boston, c1989- |
| مواضيع طبية MeSH: | White Matter* , Glioma*/radiotherapy , Glioma*/pathology, Humans ; Diffusion Tensor Imaging/methods ; Quality of Life ; Biomarkers ; Probability ; Necrosis/pathology |
| مستخلص: | The aim of this study was to design a predictive radiobiological model of normal brain tissue in low-grade glioma following radiotherapy based on imaging and molecular biomarkers. Fifteen patients with primary brain tumors prospectively participated in this study and underwent radiation therapy. Magnetic resonance imaging (MRI) was obtained from the patients, including T1- and T2-weighted imaging and diffusion tensor imaging (DTI), and a generalized equivalent dose (gEUD) was calculated. The radiobiological model of the normal tissue complication probability (NTCP) was performed using the variables gEUD; axial diffusivity (AD) and radial diffusivity (RD) of the corpus callosum; and serum protein S100B by univariate and multivariate logistic regression XLIIIrd Sir Peter Freyer Memorial Lecture and Surgical Symposium (2018). Changes in AD, RD, and S100B from baseline up to the 6 months after treatment had an increasing trend and were significant in some time points (P-value < 0.05). The model resulting from RD changes in the 6 months after treatment was significantly more predictable of necrosis than other univariate models. The bivariate model combining RD changes in Gy40 dose-volume and gEUD, as well as the trivariate model obtained using gEUD, RD, and S100B, had a higher predictive value among multivariate models at the sixth month of the treatment. Changes in RD diffusion indices and in serum protein S100B value were used in the early-delayed stage as reliable biomarkers for predicting late-delayed damage (necrosis) caused by radiation in the corpus callosum. Current findings could pave the way for intervention therapies to delay the severity of damage to white matter structures, minimize cognitive impairment, and improve the quality of life of patients with low-grade glioma. (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.) |
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| فهرسة مساهمة: | Keywords: Imaging biomarker; Low-grade glioma; Molecular biomarker; NTCP (normal tissue complication probability); Radiobiological modelling; Radiotherapy |
| المشرفين على المادة: | 0 (Biomarkers) |
| تواريخ الأحداث: | Date Created: 20230718 Date Completed: 20230925 Latest Revision: 20230925 |
| رمز التحديث: | 20240628 |
| DOI: | 10.1007/s12031-023-02136-9 |
| PMID: | 37462853 |
| قاعدة البيانات: | MEDLINE |
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Full Text Finder | تدمد: | 1559-1166 |
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| DOI: | 10.1007/s12031-023-02136-9 |