Showing 181 - 200 results of 208 for search '"brain tumors"', query time: 0.06s Refine Results
  1. 181

    A realistic human head phantom for electromagnetic detection of brain diseases by Zelin Bai, Diyou Chen, Ke Ma, Gui Jin, Jinlong Qiu, Quanquan Li, Haocheng Li, Mingsheng Chen

    Published 2025-01-01
    “…It proved valuable for studying the distribution of electromagnetic fields in the human head and for investigating novel electromagnetic detection techniques exploiting brain tissue dielectric properties. (4) The created physical model and the numerical model were derived from the same person, which provided a good continuity between simulation experiments and physical experiments, and provided a realistic verification platform for the research of electromagnetic detection technology for brain diseases, such as differentiating the kind of stroke, monitoring brain edema, brain tumor microwave imaging, and diagnosis of Alzheimer’s disease.…”
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  2. 182
  3. 183

    Deciphering the dose-dependent effects of thymoquinone on cellular proliferation and transcriptomic changes in A172 glioblastoma cells. by Rachana Pandey, Purushothaman Natarajan, Umesh K Reddy, Wei Du, Cristian Sirbu, Moussa Sissoko, Gerald R Hankins

    Published 2025-01-01
    “…Glioblastoma multiforme (GBM), the most prevalent primary malignant brain tumor in adults, exhibits a dismal 6.9% five-year survival rate post-diagnosis. …”
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  4. 184

    Nanoparticle-in-Hydrogel Delivery System for the Sequential Release of Two Drugs by Demian van Straten, Jaime Fernández Bimbo, Wim E. Hennink, Tina Vermonden, Raymond M. Schiffelers

    Published 2025-01-01
    “…Background/Objectives: Glioblastoma is the most common and lethal primary brain tumor. Patients often suffer from tumor- and treatment induced vasogenic edema, with devastating neurological consequences. …”
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  5. 185

    Identification of an Inflammatory Response-Related Gene Signature to Predict Survival and Immune Status in Glioma Patients by Zhaoyue Yan, Yushuai Gao, Jinliang Yu, Zhiyuan Shen, Xingyao Bu

    Published 2022-01-01
    “…Glioma is the most common primary brain tumor with high mortality and poor outcomes. As a hallmark of cancers, inflammatory responses are crucial for their progression. …”
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  6. 186

    Telehealth group intervention for adolescents and young adults with cancer: a feasibility pilot study protocol by Sherilynn F. Chan, Joanna Patten, Nancy Lau

    Published 2025-01-01
    “…Methods Telehealth group interventions are offered twice yearly as standard of care at Seattle Children’s Hospital to AYAs on or off treatment for cancer or a brain tumor. Group members are assigned to a High School Group (grades 9–12) or an AYA Group (spring of grade 12 or older). …”
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  7. 187

    LncRNA LOXL1-AS1 Promotes the Proliferation and Metastasis of Medulloblastoma by Activating the PI3K/AKT Pathway by Ran Gao, Rui Zhang, Cuicui Zhang, Yingwu Liang, Weining Tang

    Published 2018-01-01
    “…Medulloblastoma is the most common malignant brain tumor of childhood, with great potential to metastasize. …”
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  8. 188

    Current Approach of Functioning Head and Neck Paragangliomas: Case Report of a Young Patient with Multiple Asynchronous Tumors by Alejandro Terrones-Lozano, Alan Hernández-Hernández, Edgar Nathal Vera, Gerardo Yoshiaki Guinto-Nishimura, Jorge Luis Balderrama-Bañares, Claudia Ramírez-Rentería, Judith de la Serna-Soto, Alfredo Adolfo Reza-Albarran, Lesly Portocarrero-Ortiz

    Published 2020-01-01
    “…A 33-year-old man with a past medical history of resection of an abdominal PGL at the age of eleven underwent a CT scan after a mild traumatic brain injury revealing an incidental brain tumor. The diagnosis of a functioning PGL was made, and further testing was undertaken with a PET-CT with 68Ga-DOTATATE, SPECT-CT 131-MIBG, and genetic testing. …”
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  9. 189

    DeepGlioSeg: advanced glioma MRI data segmentation with integrated local-global representation architecture by Ruipeng Li, Yuehui Liao, Yueqi Huang, Xiaofei Ma, Guohua Zhao, Yanbin Wang, Chen Song

    Published 2025-02-01
    “…The source code for this work is publicly available at https://github.com/smallboy-code/Brain-tumor-segmentation.…”
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  10. 190

    Genetic predisposition to altered blood cell homeostasis is associated with glioma risk and survival by Linda Kachuri, Geno A. Guerra, Taishi Nakase, George A. Wendt, Helen M. Hansen, Annette M. Molinaro, Paige Bracci, Lucie McCoy, Terri Rice, John K. Wiencke, Jeanette E. Eckel-Passow, Robert B. Jenkins, Margaret Wrensch, Stephen S. Francis

    Published 2025-01-01
    “…Abstract Glioma is a highly fatal and heterogeneous brain tumor with few known risk factors. Our study examines genetically predicted variability in blood cell indices in relation to glioma risk and survival in 3418 cases and 8156 controls. …”
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  11. 191

    High p16INK4A expression in glioblastoma is associated with senescence phenotype and better prognosis by Soon Sang Park, Tae Hoon Roh, Yoshiaki Tanaka, Young Hwa Kim, So Hyun Park, Tae-Gyu Kim, So Yeong Eom, Tae Jun Park, In-Hyun Park, Se-Hyuk Kim, Jang-Hee Kim

    Published 2025-02-01
    “…Glioblastoma, isocitrate dehydrogenase (IDH)-wildtype (GBM), is the most malignant brain tumor in adults, with limited therapeutic intervention. …”
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  12. 192

    Deep learning-based prediction of mortality using brain midline shift and clinical information by An-Rong Wu, Sun-Yuan Hsieh, Hsin-Hung Chou, Cheng-Shih Lai, Jo-Ying Hung, Bow Wang, Yi-Shan Tsai

    Published 2025-01-01
    “…Brain midline shift (MLS) indicates the severity of mass effect from intracranial lesions such as traumatic brain injury, stroke, brain tumor, or hematoma. Brain MLS can be used to determine whether patients require emergency surgery and to predict patients' prognosis. …”
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  13. 193

    Significance of Glioma Stem-Like Cells in the Tumor Periphery That Express High Levels of CD44 in Tumor Invasion, Early Progression, and Poor Prognosis in Glioblastoma by Masahiro Nishikawa, Akihiro Inoue, Takanori Ohnishi, Shohei Kohno, Shiro Ohue, Shirabe Matsumoto, Satoshi Suehiro, Daisuke Yamashita, Saya Ozaki, Hideaki Watanabe, Hajime Yano, Hisaaki Takahashi, Riko Kitazawa, Junya Tanaka, Takeharu Kunieda

    Published 2018-01-01
    “…Glioblastoma multiforme (GBM) is the most aggressive malignant brain tumor and a subpopulation of glioma stem-like cells (GSCs) is likely responsible for the invariable recurrence following maximum resection and chemoradiotherapy. …”
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  14. 194

    Expression and prognostic value of ferritinophagy-related NCOA4 gene in low-grade glioma: integration of bioinformatics and experimental validation by Guangtang Chen, Xueping Shi, Rukai Jiao, Jiacai Qian, Xiaolin Du, Jian Liu, Xi Zeng

    Published 2025-01-01
    “…Abstract Background Low-grade glioma (LGG) is a primary brain tumor with relatively low malignancy. NCOA4 is a key regulator of ferritinophagy-related processes and is involved in the occurrence and development of many cancers. …”
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  15. 195

    Validating a clinically based MS-MLPA threshold through comparison with Sanger sequencing in glioblastoma patients by Halka Lhotska, Karolina Janeckova, Hana Cechova, Jaromir Macoun, Tatiana Aghova, Libuse Lizcova, Karla Svobodova, Lucie Hodanova, Dora Konecna, Jiri Soukup, Filip Kramar, David Netuka, Zuzana Zemanova

    Published 2025-01-01
    “…Abstract Background Glioblastoma is the commonest malignant brain tumor and has a very poor prognosis. Reduced expression of the MGMT gene (10q26.3), influenced primarily by the methylation of two differentially methylated regions (DMR1 and DMR2), is associated with a good response to temozolomide treatment. …”
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  16. 196

    Prognostic impact of tumor size on cancer-specific survival for postoperative WHO grade II oligodendroglioma: a SEER-based study by Qin Lu, Yongyan Wu, Yonglin Xie, Shuxu Yang, Hongchuan Jin

    Published 2025-02-01
    “…BackgroundWHO grade II oligodendroglioma (OG/II) is a rare primary brain tumor with various outcomes. Our study aims to investigate prognostic factors for postoperative OG/II patients and then evaluate the instructional value of tumor size.MethodsWe retrospectively studied the cases from the Surveillance, Epidemiology, and End Results (SEER) database. …”
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  17. 197

    RETRACTED ARTICLE: Construction and validation of a machine learning-based immune-related prognostic model for glioma by Qi Mao, Zhi Qiao, Qiang Wang, Wei Zhao, Haitao Ju

    Published 2024-10-01
    “…Abstract Background Glioma stands as the most prevalent primary brain tumor found within the central nervous system, characterized by high invasiveness and treatment resistance. …”
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  18. 198

    An Optimized Liquid Chromatography–Mass Spectrometry Method for Ganglioside Analysis in Cell Lines by Akeem Sanni, Andrew I. Bennett, Yifan Huang, Isabella Gidi, Moyinoluwa Adeniyi, Judith Nwaiwu, Min H. Kang, Michelle E. Keyel, ChongFeng Gao, C. Patrick Reynolds, Brian Haab, Yehia Mechref

    Published 2024-10-01
    “…The optimized method was applied to profile gangliosides in neuroblastoma (COG-N-683), pancreatic cancer (PSN1), breast cancer (MDA-MB-231BR), and brain tumor (CRL-1620) cell lines. The ganglioside profile of the neuroblastoma cell line COG-N-683 showed an inverse relationship between GD1 and GD2. …”
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  19. 199

    Evaluating pre-processing and deep learning methods in medical imaging: Combined effectiveness across multiple modalities by Thien B. Nguyen-Tat, Tran Quang Hung, Pham Tien Nam, Vuong M. Ngo

    Published 2025-04-01
    “…These datasets include two X-ray collections: the COVID-19 Pneumonia Normal Chest PA Dataset and the Osteoporosis Knee X-ray Dataset; two CT scan datasets: the Chest CT-Scan Images Dataset and the Brain Stroke CT Image Dataset; two MRI datasets: the Breast Cancer Patients MRI and the Brain Tumor MRI Dataset; and two ultrasound datasets: the Ultrasound Breast Images for Breast Cancer and the MT Small Dataset. …”
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  20. 200