Search results for "Brain Tumors"

showing 10 items of 19 documents

Aquaporins and Brain Tumors

2016

Brain primary tumors are among the most diverse and complex human cancers, and they are normally classified on the basis of the cell-type and/or the grade of malignancy (the most malignant being glioblastoma multiforme (GBM), grade IV). Glioma cells are able to migrate throughout the brain and to stimulate angiogenesis, by inducing brain capillary endothelial cell proliferation. This in turn causes loss of tight junctions and fragility of the blood–brain barrier, which becomes leaky. As a consequence, the most serious clinical complication of glioblastoma is the vasogenic brain edema. Both glioma cell migration and edema have been correlated with modification of the expression/localization …

0301 basic medicinePathologymedicine.medical_specialtyAngiogenesisAquaporinReviewBiologyBlood–brain barrieraquaporins (AQPs)Catalysislcsh:ChemistryInorganic Chemistry03 medical and health sciencesglioblastoma multiforme0302 clinical medicineEdemaGliomaSettore BIO/10 - Biochimicaaquaporins (AQPs); blood–brain barrier (BBB); brain tumors; extracellular vesicles (EVs); glioblastoma multiformemedicineBiomarkers TumorAnimalsHumansPhysical and Theoretical ChemistrySettore BIO/06 - Anatomia Comparata E Citologialcsh:QH301-705.5Molecular BiologySpectroscopyTight junctionBrain NeoplasmsSettore MED/27 - NeurochirurgiaOrganic ChemistryCancerGeneral Medicinemedicine.diseaseblood–brain barrier (BBB)Computer Science ApplicationsEndothelial stem cell030104 developmental biologymedicine.anatomical_structurelcsh:Biology (General)lcsh:QD1-999Blood-Brain Barrierbrain tumorsmedicine.symptomextracellular vesicles (EVs)Glioblastoma030217 neurology & neurosurgerybrain tumor
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Tissue characterization of benign brain tumors: Use of NMR-tissue parameters

1988

Abstract To evaluate the potentials of NMR tissue parameters for tissue characterization we investigated 68 patients with benign brain tumors. Tissue parameters were accurately measured by a recently developed interlaced triple sequence. Each individual tumor was characterized by a set of three numbers (relaxation times T 1 and T 2 and proton density Rho). Different tumors exhibited significant overlaps of the three tissue parameters. Therefore a reliable prediction of the histological diagnosis based on the quantitative analysis of tissue parameters alone was not possible. T 2 -prolongation correlated well with water content and “regressive changes” in meningiomas and neuromas.

AdenomaPathologymedicine.medical_specialtyBrain NeoplasmsChemistryBiomedical EngineeringBiophysicsBenign brain tumorsBrainNeuroma AcousticTissue characterizationImage EnhancementMagnetic Resonance ImagingModels StructuralCraniopharyngiomaBody WaterHistological diagnosismedicineHumansPituitary NeoplasmsRadiology Nuclear Medicine and imagingMeningiomaProton densityQuantitative analysis (chemistry)Magnetic Resonance Imaging
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Usefulness of quantitative peritumoural perfusion and proton spectroscopic magnetic resonance imaging evaluation in differentiating brain gliomas fro…

2016

Objectives The purpose of our study was to evaluate whether peritumoural perfusion weighted and proton spectroscopic magnetic resonance imaging can be used in differentiating between primary gliomas and solitary metastases. Methods Ten low-grade gliomas, eight high-grade gliomas and 10 metastases were prospectively evaluated with magnetic resonance imaging, dynamic susceptibility contrast enhanced perfusion imaging and single-voxel proton magnetic resonance spectroscopy before surgical resection or stereotactic biopsy. Maximal relative cerebral blood volume values were calculated drawing three regions of interest of 2 cm2 in the non-enhancing peritumoural areas. Maximal relative cerebral bl…

AdultMaleMagnetic Resonance SpectroscopyStereotactic biopsyBrain TumorsPerfusion scanningSensitivity and Specificity030218 nuclear medicine & medical imagingDiagnosis DifferentialWhite matter03 medical and health sciences0302 clinical medicineGliomaImage Processing Computer-AssistedmedicineHumansRadiology Nuclear Medicine and imagingmedicine.diagnostic_testBrain Neoplasmsbusiness.industryperfusion weighted magnetic resonance imagingMagnetic resonance spectroscopic imagingMagnetic resonance imagingGliomaGeneral MedicineMiddle AgedPerfusion-Weighted Magnetic Resonance Imagingmedicine.diseaseMagnetic Resonance Imagingmedicine.anatomical_structureBrain gliomaFemaleNeurology (clinical)businessNuclear medicinePerfusion030217 neurology & neurosurgerybrain metastaseThe Neuroradiology Journal
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Brain Tumor-Derived Extracellular Vesicles as Carriers of Disease Markers: Molecular Chaperones and MicroRNAs

2020

Primary and metastatic brain tumors are usually serious conditions with poor prognosis, which reveal the urgent need of developing rapid diagnostic tools and efficacious treatments. To achieve these objectives, progress must be made in the understanding of brain tumor biology, for example, how they resist natural defenses and therapeutic intervention. One resistance mechanism involves extracellular vesicles that are released by tumors to meet target cells nearby or distant via circulation and reprogram them by introducing their cargo. This consists of different molecules among which are microRNAs (miRNAs) and molecular chaperones, the focus of this article. miRNAs modify target cells in the…

Brain tumorBiologyDiagnostic toolsExtracellular vesicleslcsh:Technologydiagnostic toolslcsh:Chemistry03 medical and health sciences0302 clinical medicineImmune systemmicroRNAmedicineGeneral Materials ScienceInstrumentationlcsh:QH301-705.5030304 developmental biologymiRNAFluid Flow and Transfer ProcessesDiagnostic tool0303 health sciencesMechanism (biology)lcsh:TProcess Chemistry and TechnologyVesiclemolecular chaperonesGeneral Engineeringmedicine.diseaselcsh:QC1-999Computer Science ApplicationsCell biologyBrain tumorlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040030220 oncology & carcinogenesisDrug deliverydrug deliverybrain tumorsExtracellular vesicleextracellular vesicleslcsh:Engineering (General). Civil engineering (General)lcsh:PhysicsApplied Sciences
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The MOBI-Kids Study Protocol: Challenges in Assessing Childhood and Adolescent Exposure to Electromagnetic Fields from Wireless Telecommunication Tec…

2014

The rapid increase in mobile phone use in young people has generated concern about possible health effects of exposure to radiofrequency (RF) and extremely low frequency (ELF) electromagnetic fields (EMF). MOBI-Kids, a multinational case–control study, investigates the potential effects of childhood and adolescent exposure to EMF from mobile communications technologies on brain tumor risk in 14 countries. The study, which aims to include approximately 1,000 brain tumor cases aged 10–24 years and two individually matched controls for each case, follows a common protocol and builds upon the methodological experience of the INTERPHONE study. The design and conduct of a study on EMF exposure an…

ELF–EMFmedia_common.quotation_subjectPopulationInternet privacyBrain tumorSocio-culturalecomputer.software_genreAdolescentsBrain tumors03 medical and health sciences0302 clinical medicineEconomicaMethods ArticlemedicineWirelessMobile phones030212 general & internal medicineeducationAssociation (psychology)Childrenmedia_commonTumorsSelection biasProtocol (science)education.field_of_studybusiness.industrylcsh:Public aspects of medicinePublic Health Environmental and Occupational HealthELF-EMFAmbientaleTumors en els infantslcsh:RA1-1270medicine.diseaseTelèfon mòbil i adolescents3. Good healthCervell Localització de funcionsMobile phoneTelèfon mòbil030220 oncology & carcinogenesisadolescentMobile telephonyData miningPublic HealthRF-EMFbusinesscomputerbrain tumor
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Resting-State Functional Magnetic Resonance Imaging for Surgical Neuro-Oncology Planning: Towards a Standardization in Clinical Settings

2021

Resting-state functional magnetic resonance imaging (rest-f-MRI) is a neuroimaging technique that has demonstrated its potential in providing new insights into brain physiology. rest-f-MRI can provide useful information in pre-surgical mapping aimed to balancing long-term survival by maximizing the extent of resection of brain neoplasms, while preserving the patient’s functional connectivity. Rest-fMRI may replace or can be complementary to task-driven fMRI (t-fMRI), particularly in patients unable to cooperate with the task paradigm, such as children or sedated, paretic, aphasic patients. Although rest-fMRI is still under standardization, this technique has been demonstrated to be feasible…

General Neurosciencefunctional connectivitybrain mappingbrain tumorsNeurosciences. Biological psychiatry. NeuropsychiatryReviewbrain tumorresting-state fMRIRC321-571Brain Sciences
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Nonparticipation Selection Bias in the MOBI-Kids Study.

2018

Supplemental Digital Content is available in the text.

GerontologyMaleAdolescentCellular telephone useEpidemiologyCase–control studymedia_common.quotation_subjectEpidemiologic methodsAdolescents01 natural sciencesBrain tumorsBrain cancer010104 statistics & probability03 medical and health sciencesYoung Adult0302 clinical medicineElectromagnetic FieldsAge groupsBiasJapanRisk FactorsGermanySurveys and QuestionnairesPerinatal and Child HealthOdds RatioHumans030212 general & internal medicine0101 mathematicsIsraelChildChildrenmedia_commonSelection biasSelection biasBrain NeoplasmsCase-control studyItalySpainCase-Control StudiesComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFemaleFrancePsychologyCell PhoneEpidemiology (Cambridge, Mass.)
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Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C-Means clustering

2015

Nowadays, radiation treatment is beginning to intensively use MRI thanks to its greater ability to discriminate healthy and diseased soft-tissues. Leksell Gamma Knife® is a radio-surgical device, used to treat different brain lesions, which are often inaccessible for conventional surgery, such as benign or malignant tumors. Currently, the target to be treated with radiation therapy is contoured with slice-by-slice manual segmentation on MR datasets. This approach makes the segmentation procedure time consuming and operator-dependent. The repeatability of the tumor boundary delineation may be ensured only by using automatic or semiautomatic methods, supporting clinicians in the treatment pla…

Jaccard indexSimilarity (geometry)Computer scienceScale-space segmentationFuzzy logicunsupervised clusteringmagnetic resonance imagingSegmentationComputer visionmagnetic resonance imag- ingElectrical and Electronic EngineeringCluster analysisRadiation treatment planningSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniPixelbrain tumors; Gamma Knife treatment planning; magnetic resonance imaging; semi-automatic segmentation; unsupervised clusteringbusiness.industrybrain tumors Gamma Knife treatment planning magnetic resonance imaging semi-automatic segmentation unsupervised clusteringElectronic Optical and Magnetic Materialsbrain tumorsComputer Vision and Pattern RecognitionArtificial intelligencebusinesssemi-automatic segmentationSoftwarebrain tumorGamma Knife treatment planning
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Maternal medication use and the risk of brain tumors in the offspring: The SEARCH international case-control study

2006

International audience; N-nitroso compounds (NOC) have been associated with carcinogenesis in a wide range of species, including humans. There is strong experimental data showing that nitrosamides (R(1)NNO.COR(2)), a type of NOC, are potent neuro-carcinogens when administered transplacentally. Some medications are a concentrated source of amides or amines, which in the presence of nitrites under normal acidic conditions of the stomach can form NOC. Therefore, these compounds, when ingested by women during pregnancy, may be important risk factors for tumors of the central nervous system in the offspring. The aim of the present study was to test the association between maternal use of medicat…

MaleCancer ResearchMESH: Maternal-Fetal ExchangeMESH: Pregnancy0302 clinical medicinePregnancyRisk FactorsMESH: Risk FactorsMESH: ChildRecall biasEpidemiologyMedicine030212 general & internal medicineAminesChildMaternal-Fetal Exchangeeducation.field_of_studyBrain NeoplasmsN-nitroso compoundsMESH: AminesMESH: InfantMESH: AmidesMESH: Case-Control StudiesMESH: Mothers3. Good healthOncologyChild Preschool030220 oncology & carcinogenesisMESH: Brain NeoplasmsFemaleDisease SusceptibilityAdultmedicine.medical_specialtyAdolescentOffspringcase-control studyPopulationMESH: Disease SusceptibilityMothers[SDV.CAN]Life Sciences [q-bio]/Cancerchildhood brain tumors03 medical and health sciencesInternal medicineGliomamaternal medicationHumansRisk factoreducationMESH: AdolescentPregnancyMESH: Humansbusiness.industryMESH: Child PreschoolCase-control studyInfantMESH: Adultmedicine.diseaseAmidesMESH: MaleCase-Control StudiesbusinessMESH: FemaleInternational Journal of Cancer
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Multiproject–multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy

2008

[EN] Automatic brain tumor classification by MRS has been under development for more than a decade. Nonetheless, to our knowledge, there are no published evaluations of predictive models with unseen cases that are subsequently acquired in different centers. The multicenter eTUMOUR project (2004-2009), which builds upon previous expertise from the INTERPRET project (2000-2002) has allowed such an evaluation to take place. A total of 253 pairwise classifiers for glioblastoma, meningioma, metastasis, and low-grade glial diagnosis were inferred based on 211 SV short TE INTERPRET MR spectra obtained at 1.5 T (PRESS or STEAM, 20-32 ms) and automatically pre-processed. Afterwards, the classifiers …

Multicenter evaluation studyDecision support systemComputer scienceBiophysicsBrain tumorDecision support systemsMachine learningcomputer.software_genreSensitivity and SpecificityBrain tumorsHealth informaticsAnalytical ChemistryPattern Recognition AutomatedArtificial IntelligenceMagnetic resonance spectroscopyBiomarkers TumorCIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIALmedicineHumansRadiology Nuclear Medicine and imagingDiagnosis Computer-AssistedRadiological and Ultrasound TechnologyBrain Neoplasmsbusiness.industryReproducibility of ResultsPattern classificationmedicine.diseaseR1EuropeRadiology Nuclear Medicine and imagingFISICA APLICADAArtificial intelligencebusinesscomputerAlgorithmsResearch ArticleMagma
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