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Academic Journal

High-performance presurgical differentiation of glioblastoma and metastasis by means of multiparametric neurite orientation dispersion and density imaging (NODDI) radiomics.

  • Authors : Bai J; Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.; Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, Zhengzhou, 450052, China.

Subjects: Brain Neoplasms*/Brain Neoplasms*/Brain Neoplasms*/diagnostic imaging ; Brain Neoplasms*/Brain Neoplasms*/Brain Neoplasms*/secondary ; Brain Neoplasms*/Brain Neoplasms*/Brain Neoplasms*/pathology

  • Source: European radiology [Eur Radiol] 2024 Oct; Vol. 34 (10), pp. 6616-6628. Date of Electronic Publication: 2024 Mar 15.Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Prospective longitudinal analysis of imaging-based spatiotemporal tumor habitats in glioblastoma, IDH-wild type: implication in patient outcome using multiparametric physiologic MRI.

  • Authors : Moon HH; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 43 Olympic-ro 88, Songpa-Gu, Seoul, 05505, Republic of Korea.; Park JE

Subjects: Glioblastoma*/Glioblastoma*/Glioblastoma*/diagnostic imaging ; Glioblastoma*/Glioblastoma*/Glioblastoma*/therapy ; Glioblastoma*/Glioblastoma*/Glioblastoma*/pathology

  • Source: BMC cancer [BMC Cancer] 2024 Sep 27; Vol. 24 (1), pp. 1197. Date of Electronic Publication: 2024 Sep 27.Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407

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Academic Journal

Vasari-Based Features Nomogram to Predict the Tumor-Infiltrating CD8+ T Cell Levels in Glioblastoma.

  • Authors : Xue C; Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China

Subjects: Glioblastoma*/Glioblastoma*/Glioblastoma*/diagnostic imaging ; Glioblastoma*/Glioblastoma*/Glioblastoma*/pathology ; Nomograms*

  • Source: Academic radiology [Acad Radiol] 2024 May; Vol. 31 (5), pp. 2050-2060. Date of Electronic Publication: 2023 Nov 18.Publisher: Association Of University Radiologists Country of Publication: United States NLM ID: 9440159 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Intratumoral and Peritumoral Multiparametric MRI-Based Radiomics Signature for Preoperative Prediction of Ki-67 Proliferation Status in Glioblastoma: A Two-Center Study.

  • Authors : Zhu X; Departments of Radiology, Jiangxi Tumor Hospital, Nanchang, Jiangxi, China (X.Z., Y.S., C.G., L.L.).; He Y

Subjects: Multiparametric Magnetic Resonance Imaging*/Multiparametric Magnetic Resonance Imaging*/Multiparametric Magnetic Resonance Imaging*/methods ; Glioblastoma*/Glioblastoma*/Glioblastoma*/diagnostic imaging ; Glioblastoma*/Glioblastoma*/Glioblastoma*/surgery

  • Source: Academic radiology [Acad Radiol] 2024 Apr; Vol. 31 (4), pp. 1560-1571. Date of Electronic Publication: 2023 Oct 19.Publisher: Association Of University Radiologists Country of Publication: United States NLM ID: 9440159 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Achieving imaging and computational reproducibility on multiparametric MRI radiomics features in brain tumor diagnosis: phantom and clinical validation.

  • Authors : Cheong EN; Department of Medical Science and Asan Medical Institute of Convergence Science and Technology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.; Park JE

Subjects: Multiparametric Magnetic Resonance Imaging*/Multiparametric Magnetic Resonance Imaging*/Multiparametric Magnetic Resonance Imaging*/methods ; Glioblastoma*/Glioblastoma*/Glioblastoma*/diagnostic imaging ; Glioblastoma*/Glioblastoma*/Glioblastoma*/pathology

  • Source: European radiology [Eur Radiol] 2024 Mar; Vol. 34 (3), pp. 2008-2023. Date of Electronic Publication: 2023 Sep 04.Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Multiparametric magnetic resonance imaging features of a canine glioblastoma model.

  • Authors : Lee S; Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.; Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.

Subjects: Glioblastoma/Glioblastoma/Glioblastoma/*diagnostic imaging ; Multiparametric Magnetic Resonance Imaging/Multiparametric Magnetic Resonance Imaging/Multiparametric Magnetic Resonance Imaging/*methods; Animals

  • Source: PloS one [PLoS One] 2021 Jul 09; Vol. 16 (7), pp. e0254448. Date of Electronic Publication: 2021 Jul 09 (Print Publication: 2021).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma.

  • Authors : Fathi Kazerooni A; Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.

Subjects: Software*; Brain Neoplasms/Brain Neoplasms/Brain Neoplasms/*mortality ; Glioblastoma/Glioblastoma/Glioblastoma/*mortality

  • Source: JCO clinical cancer informatics [JCO Clin Cancer Inform] 2020 Mar; Vol. 4, pp. 234-244.Publisher: American Society of Clinical Oncology Country of Publication: United States NLM ID: 101708809 Publication Model: Print Cited Medium: Internet

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Academic Journal

CEST MRI detectable liposomal hydrogels for multiparametric monitoring in the brain at 3T.

  • Authors : Han X; Department of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong.; Huang J

Subjects: Brain/Brain/Brain/*pathology ; Glioblastoma/Glioblastoma/Glioblastoma/*therapy ; Hydrogels/Hydrogels/Hydrogels/*pharmacokinetics

  • Source: Theranostics [Theranostics] 2020 Jan 12; Vol. 10 (5), pp. 2215-2228. Date of Electronic Publication: 2020 Jan 12 (Print Publication: 2020).Publisher: Ivyspring International Publisher Country of Publication: Australia NLM ID: 101552395 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI.

  • Authors : Gaw N; School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, 699 S Mill Ave, Tempe, AZ, 85281, USA.; Hawkins-Daarud A

Subjects: Brain Neoplasms/Brain Neoplasms/Brain Neoplasms/*diagnostic imaging ; Glioblastoma/Glioblastoma/Glioblastoma/*diagnostic imaging ; Multiparametric Magnetic Resonance Imaging/Multiparametric Magnetic Resonance Imaging/Multiparametric Magnetic Resonance Imaging/*methods

  • Source: Scientific reports [Sci Rep] 2019 Jul 11; Vol. 9 (1), pp. 10063. Date of Electronic Publication: 2019 Jul 11.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Developing a Pipeline for Multiparametric MRI-Guided Radiation Therapy: Initial Results from a Phase II Clinical Trial in Newly Diagnosed Glioblastoma.

Subjects: Brain Neoplasms/Brain Neoplasms/Brain Neoplasms/*diagnostic imaging ; Brain Neoplasms/Brain Neoplasms/Brain Neoplasms/*radiotherapy ; Glioblastoma/Glioblastoma/Glioblastoma/*diagnostic imaging

  • Source: Tomography (Ann Arbor, Mich.) [Tomography] 2019 Mar; Vol. 5 (1), pp. 118-126.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101671170 Publication Model: Print Cited Medium: Internet ISSN: 2379-139X

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  • 1-10 of  10 results for ""Multiparametric Magnetic Resonance Imaging methods""