Literature DB >> 30230411

Volumetric voxelwise apparent diffusion coefficient histogram analysis for differentiation of the fourth ventricular tumors.

Seyedmehdi Payabvash1,2, Tarik Tihan3, Soonmee Cha1.   

Abstract

PURPOSE: We applied voxelwise apparent diffusion coefficient (ADC) histogram analysis in addition to structural magnetic resonance imaging (MRI) findings and patients' age for differentiation of intraaxial posterior fossa tumors involving the fourth ventricle. PARTICIPANTS AND METHODS: Pretreatment MRIs of 74 patients with intraaxial brain neoplasm involving the fourth ventricle, from January 1, 2004 to December 31, 2015, were reviewed. The tumor solid components were segmented and voxelwise ADC histogram variables were determined. Histogram-driven variables, structural MRI findings, and patient age were combined to devise a differential diagnosis algorithm.
RESULTS: The most common neoplasms were ependymomas ( n = 21), medulloblastoma ( n = 17), and pilocytic astrocytomas ( n = 13). Medulloblastomas followed by atypical teratoid/rhabdoid tumors had the lowest ADC histogram percentile values; whereas pilocytic astrocytomas and choroid plexus papillomas had the highest ADC histogram percentile values. In a multivariable multinominal regression analysis, the ADC 10th percentile value from voxelwise histogram was the only independent predictor of tumor type ( p < 0.001). In separate binary logistic regression analyses, the 10th percentile ADC value, tumor morphology, enhancement pattern, extension into Luschka/Magendie foramina, and patient age were predictors of different tumor types. Combining these variables, we devised a stepwise diagnostic model yielding 71% to 82% sensitivity, 91% to 95% specificity, 75% to 78% positive predictive value, and 89% to 95% negative predictive value for differentiation of ependymoma, medulloblastoma, and pilocytic astrocytoma.
CONCLUSION: We have shown how the addition of quantitative voxelwise ADC histogram analysis of the tumor solid component to structural findings and patient age can help with accurate differentiation of intraaxial posterior fossa neoplasms involving the fourth ventricle based on pretreatment MRI.

Entities:  

Keywords:  Fourth ventricle; cerebellum; diffusion; histogram; tumor

Mesh:

Year:  2018        PMID: 30230411      PMCID: PMC6243467          DOI: 10.1177/1971400918800803

Source DB:  PubMed          Journal:  Neuroradiol J        ISSN: 1971-4009


  16 in total

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9.  MR signal of the solid portion of pilocytic astrocytoma on T2-weighted images: is it useful for differentiation from medulloblastoma?

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10.  Metrics and textural features of MRI diffusion to improve classification of pediatric posterior fossa tumors.

Authors:  D Rodriguez Gutierrez; A Awwad; L Meijer; M Manita; T Jaspan; R A Dineen; R G Grundy; D P Auer
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2.  Histogram Analysis Parameters ADC for Distinguishing Ventricular Neoplasms of Ependymoma, Choroid Plexus Papilloma, and Central Neurocytoma.

Authors:  Chen Chen; Cui-Ping Ren; Rui-Chen Zhao; Jiang-Wei Ding; Jing-Liang Cheng
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3.  Comparison of free breathing and respiratory triggered diffusion-weighted imaging sequences for liver imaging.

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