Comparison between Glioblastoma and Primary Central Nervous System Lymphoma Using MR Image-based Texture Analysis

scientific article

Comparison between Glioblastoma and Primary Central Nervous System Lymphoma Using MR Image-based Texture Analysis is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.2463/MRMS.MP.2017-0044
P932PMC publication ID5760233
P698PubMed publication ID28638001

P50authorHarushi MoriQ73655358
Osamu AbeQ88616956
P2093author name stringAkira Kunimatsu
Kouhei Kamiya
Natsuko Kunimatsu
Takeyuki Watadani
P2860cites workRadiomics: the process and the challengesQ26865378
Radiotherapy plus concomitant and adjuvant temozolomide for glioblastomaQ27860910
Metrics and textural features of MRI diffusion to improve classification of pediatric posterior fossa tumors.Q30708772
Primary central nervous system lymphoma and atypical glioblastoma: multiparametric differentiation by using diffusion-, perfusion-, and susceptibility-weighted MR imagingQ30818215
Primary central nervous system lymphoma: radiologic-pathologic correlationQ32181980
Texture analysis: a review of neurologic MR imaging applicationsQ33556336
Lymphomas and glioblastomas: differences in the apparent diffusion coefficient evaluated with high b-value diffusion-weighted magnetic resonance imaging at 3T.Q33762927
Radiomics: Images Are More than Pictures, They Are DataQ34502075
Robust Radiomics feature quantification using semiautomatic volumetric segmentationQ35206996
Texture Feature Ratios from Relative CBV Maps of Perfusion MRI Are Associated with Patient Survival in Glioblastoma.Q36463578
Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility StudyQ37510595
Statistics 101 for Radiologists.Q38606958
Reliability, repeatability and reproducibility: analysis of measurement errors in continuous variablesQ38895248
Diagnostic performance of texture analysis on MRI in grading cerebral gliomasQ39925037
Atypical imaging features of Epstein-Barr virus-positive primary central nervous system lymphomas in patients without AIDS.Q45352584
Isocitrate dehydrogenase 1 codon 132 mutation is an important prognostic biomarker in gliomas.Q45918451
Differentiation of primary central nervous system lymphomas and glioblastomas: comparisons of diagnostic performance of dynamic susceptibility contrast-enhanced perfusion MR imaging without and with contrast-leakage correctionQ48194992
Glioblastoma multiforme: radiologic-pathologic correlationQ48874118
Differentiating brain metastases from different pathological types of lung cancers using texture analysis of T1 postcontrast MR.Q48908917
Differentiation between glioblastomas, solitary brain metastases, and primary cerebral lymphomas using diffusion tensor and dynamic susceptibility contrast-enhanced MR imaging.Q55463391
Primary CNS lymphomaQ79495963
Primary CNS lymphomaQ82767535
P4510describes a project that usesImageJQ1659584
P433issue1
P921main subjectcentral nervous system lymphomaQ136312
glioblastomaQ282142
primary central nervous system lymphomaQ3246818
P304page(s)50-57
P577publication date2017-06-22
P1433published inMagnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in MedicineQ26842414
P1476titleComparison between Glioblastoma and Primary Central Nervous System Lymphoma Using MR Image-based Texture Analysis
P478volume17

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cites work (P2860)
Q9315449218F-FDG-PET-based radiomics features to distinguish primary central nervous system lymphoma from glioblastoma
Q62490912Artificial intelligence in cancer imaging: Clinical challenges and applications
Q88924306Differentiating between Glioblastoma and Primary CNS Lymphoma Using Combined Whole-tumor Histogram Analysis of the Normalized Cerebral Blood Volume and the Apparent Diffusion Coefficient
Q54973707Imaging in neuro-oncology.
Q88699250Machine Learning-based Texture Analysis of Contrast-enhanced MR Imaging to Differentiate between Glioblastoma and Primary Central Nervous System Lymphoma
Q90266884Three-Dimensional Texture Analysis Based on PET/CT Images to Distinguish Hepatocellular Carcinoma and Hepatic Lymphoma

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