0000000000414743

AUTHOR

Arend Heerschap

showing 4 related works from this author

Homoarginine Levels are Regulated by L-Arginine: Glycine Amidinotransferase and Affect Stroke Outcome: Results from Human and Murine Studies

2013

Background— Endogenous arginine homologues, including homoarginine, have been identified as novel biomarkers for cardiovascular disease and outcomes. Our studies of human cohorts and a confirmatory murine model associated the arginine homologue homoarginine and its metabolism with stroke pathology and outcome. Methods and Results— Increasing homoarginine levels were independently associated with a reduction in all-cause mortality in patients with ischemic stroke (7.4 years of follow-up; hazard ratio for 1-SD homoarginine, 0.79 [95% confidence interval, 0.64–0.96]; P =0.019; n=389). Homoarginine was also independently associated with the National Institutes of Health Stroke Scale+age score …

Malegenetics [Homoarginine]AmidinotransferasesArginineGenome-wide association studyCohort StudiesMicesingle nucleotide polymorphismMedicinehomoarginineProspective StudiesStrokegenetics [Arginine]CARDIOVASCULAR RISKHazard ratioMOUSE MODELMiddle Ageddiagnosis [Stroke]strokeDEFICIENCYTreatment OutcomeISCHEMIC-STROKEgenetics [Stroke]genetics [Amidinotransferases]genetics [Polymorphism Single Nucleotide]FemaleCardiology and Cardiovascular MedicineAdultmedicine.medical_specialtySingle-nucleotide polymorphismMASS-SPECTROMETRIC DETERMINATIONArginineGUANIDINO COMPOUNDSPhysiology (medical)Internal medicineglycine amidinotransferaseAnimalsHumansCREATINEddc:610Translational research Energy and redox metabolism [ONCOL 3]AgedNITRIC-OXIDEBLOOD-FLOWbusiness.industryVascular diseasemedicine.diseaseHomoarginineCEREBRAL-ARTERY OCCLUSIONL-arginine:glycine amidinotransferaseMice Inbred C57BLDisease Models AnimalEndocrinologyHEK293 CellsGlycinegenome-wide association studiesHuman medicineArginine:glycine amidinotransferasebusinessGenome-Wide Association StudyCirculation
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Fusingin vivoandex vivoNMR sources of information for brain tumor classification

2011

In this study we classify short echo-time brain magnetic resonance spectroscopic imaging (MRSI) data by applying a model-based canonical correlation analyses algorithm and by using, as prior knowledge, multimodal sources of information coming from high-resolution magic angle spinning (HR-MAS), MRSI and magnetic resonance imaging. The potential and limitations of fusing in vivo and ex vivo nuclear magnetic resonance sources to detect brain tumors is investigated. We present various modalities for multimodal data fusion, study the effect and the impact of using multimodal information for classifying MRSI brain glial tumors data and analyze which parameters influence the classification results…

medicine.diagnostic_testComputer sciencebusiness.industryApplied MathematicsMultimodal dataBrain tumorMagnetic resonance spectroscopic imagingMagnetic resonance imagingPattern recognitionmedicine.diseaseNuclear magnetic resonanceIn vivomedicineMagic angle spinningBrain magnetic resonance imagingArtificial intelligencebusinessInstrumentationEngineering (miscellaneous)Ex vivoMeasurement Science and Technology
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Incorporating in vivo and ex vivo NMR sources of information for modeling robust brain tumor classifiers

2010

The purpose of this paper is to investigate the potential and limitations of using multimodal sources of information coming from in vivo NMR and ex vivo NMR data for detecting brain tumors. Supervised pattern recognition methods, whose performance directly depends on the prior available observations used in building them, are proposed. We show that high resolution magic angle spinning (HR-MAS) data act as complementary information for classifying magnetic resonance spectroscopic imaging (MRSI) data. In particularly, when considering rare brain tumors, since it is unlikely to acquire sufficient cases to define their metabolite profiles using only in vivo NMR information, HR-MAS can support t…

Contextual image classificationmedicine.diagnostic_testComputer sciencebusiness.industryMagnetic resonance spectroscopic imagingPattern recognitionMagnetic resonance imagingData modelingNuclear magnetic resonanceIn vivoPattern recognition (psychology)Magic angle spinningmedicineArtificial intelligencebusinessEx vivo2010 IEEE International Conference on Imaging Systems and Techniques
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5th International Symposium on Focused Ultrasound

2016

Introduction Breast fibroadenomata (FAD) are benign lesions which occur in about 10 % of all women. Diagnosis is made by triple assessment (physical examination, imaging and/or histopathology/cytology). For a definitive diagnosis of FAD, the treatment is conservative unless the patient is symptomatic. For symptomatic patients, the lumps can be surgically excised or removed interventionally by vacuum-assisted mammotomy (VAM). Ablative techniques like high-intensity focused ultrasound (HIFU), cryo-ablation and laser ablation have also been used for the treatment of FAD, providing a minimally invasive treatment without scarring or poor cosmesis. This review summarises current trials using mini…

lcsh:Medical physics. Medical radiology. Nuclear medicineFibroadenomataCryo-ablationHigh-intensity focused ultrasoundAblative techniqueslcsh:R895-920ReviewMeeting AbstractsLaser ablationJournal of Therapeutic Ultrasound
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