Search results for "Mach"

showing 10 items of 3360 documents

In vivo molecular imaging of gastric cancer by targeting MG7 antigen with confocal laser endomicroscopy.

2013

Background and study aims: In vivo molecular imaging represents a powerful tool for the immediate diagnosis of gastric cancer. In this study, the monoclonal antibody MG7, which is a specific molecular marker against gastric cancer, was labeled with fluorescent agents to enable in vivo real-time imaging by confocal laser endomicroscopy (CLE). Patients and methods: In vivo molecular imaging was performed in tumor-bearing mice from two kinds of human gastric cancer cell lines. Xenograft tumors were visualized in vivo first with a whole-body fluorescent imaging device and then by CLE using fluorescently labeled MG7 antibody. Gastric cancerous tissue and noncancerous mucosa from human biopsies o…

AdultMalePathologymedicine.medical_specialtyConfocalMiceAntigenIn vivoAntigens NeoplasmStomach NeoplasmsCell Line TumorBiopsymedicineAnimalsHumansSingle-Blind MethodAgedAged 80 and overMice Inbred BALB CMicroscopy Confocalmedicine.diagnostic_testbusiness.industryCarcinomaGastroenterologyCancerAntibodies MonoclonalMiddle Agedmedicine.diseaseImmunohistochemistryMolecular ImagingMicroscopy FluorescenceImmunohistochemistryFemaleMolecular imagingbusinessEx vivoEndoscopy
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Molecular characterisation and expression analysis of SEREX-defined antigen NUCB2 in gastric epithelium, gastritis and gastric cancer.

2009

NUCB2 is an EF-hand Ca2+ binding protein that has been implicated in various physiological processes like calcium homeostasis, hypothalamic regulation of feeding and TNF receptor shedding. In our previous study we identified NUCB2 as a potential tumour antigen eliciting autoantibody responses in 5.4% of gastric cancer patients but not in the healthy individuals.The current study aimed to elucidate the molecular mechanism underlying NUCB2 immunogenicity and to gain an insight into the physiological functions of NUCB2 in the stomach. mRNA expression analysis demonstrated that NUCB2 is ubiquitously expressed in normal tissues, including lymphoid tissues, and downregulated in gastric tumours wh…

AdultMalePathologymedicine.medical_specialtyHistologyNUCB2BiophysicsDown-RegulationNerve Tissue ProteinsBiologyAntigenWestern blotchief cellsParietal Cells GastricStomach NeoplasmsGastric glandsGastric mucosamedicineHumansNucleobindinsEnterochromaffin-like celllcsh:QH301-705.5AgedAutoantibodiesAged 80 and overOriginal Papermedicine.diagnostic_testReverse Transcriptase Polymerase Chain ReactionStomachgastric cancerCalcium-Binding Proteinsparietal cellsCell BiologySEREXMiddle AgedMolecular biologyGastric chief cellDNA-Binding Proteinsmedicine.anatomical_structurelcsh:Biology (General)Gastric MucosaGastritisCancer cellpepsinogen secretion.Femaletumour-associated antigensProtein Processing Post-TranslationalEuropean journal of histochemistry : EJH
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Evaluation of prognostic factors and their capacity to predict biological behavior in gastrointestinal stromal tumors.

2011

Gastrointestinal stromal tumors (GISTs) are c-KIT-signaling-driven mesenchymal tumors of the human digestive tract, many of which have c-KIT or PDGFRα activating mutations. The authors studied the immunohistochemical markers, c-KIT and PDGFRα mutations, in GISTs and their association with the clinicopathological and clinical follow-up in 145 GISTs. Tumors were located mainly in the stomach, the median tumor size being 7.5 cm. The mitotic index was ≤5 mitoses per 50 high-power fields in 61% of cases, 96% expressed CD117, and c-KIT or PDGFRα mutations were detected in 68% of cases. The median follow-up of the series was 52 months (range = 1 to 244.9 months). Tumor size, cell morphology, mito…

AdultMalePathologymedicine.medical_specialtyStromal cellMitotic indexReceptor Platelet-Derived Growth Factor alphaGastrointestinal Stromal Tumorsmedicine.disease_causeCell morphologyDisease-Free SurvivalPathology and Forensic MedicineYoung AdultPredictive Value of TestsStomach NeoplasmsIntestinal NeoplasmsmedicineBiomarkers TumorMitotic IndexHumansAgedAged 80 and overMutationbiologyCD117StomachMesenchymal stem cellMiddle AgedPrognosisProto-Oncogene Proteins c-kitmedicine.anatomical_structureKi-67 AntigenMutationbiology.proteinImmunohistochemistrySurgeryFemaleAnatomyInternational journal of surgical pathology
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Multicentric randomised study of

2017

Introduction Population-based eradication of Helicobacter pylori has been suggested to be cost-effective and is recommended by international guidelines. However, the potential adverse effects of widespread antibiotic use that this would entail have not been sufficiently studied. An alternative way to decrease gastric cancer mortality is by non-invasive search for precancerous lesions, in particular gastric atrophy; pepsinogen tests are the best currently available alternative. The primary objective of GISTAR is to determine whether H pylori eradication combined with pepsinogen testing reduces mortality from gastric cancer among 40–64-year-old individuals. The secondary objectives include ev…

AdultMalePepsinogenHelicobacter InfectionsStomach NeoplasmsPepsinogen AGastroscopyProtocolHumans17241506MortalityEradicationHelicobacter pylori1695Randomised StudyPreventionStomachMiddle Aged1692Anti-Bacterial AgentsEuropeGastric CancerResearch DesignFemalePublic HealthH. Pylori1717Precancerous ConditionsBMJ open
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Quantifying changes in EEG complexity induced by photic stimulation.

2009

Summary Objectives: This study aims to characterize EEG complexity, measured as the prediction error resulting from nonlinear prediction, in healthy humans during photic stimulation. Methods: EEGs were recorded from 15 subjects with eyes closed (EC) and eyes open (EO), during the baseline condition and during stroboscopic photic stimulation (PS) at 5, 10, and 15 Hz. The mean squared prediction error (MSPE) resulting from nearest neighbor local linear prediction was taken as complexity index. Complexity maps were generated interpolating the MSPE index over a schematic scalp representation. Results: Statistical analysis revealed that: i) EEG shows good predictability in all conditions and see…

AdultMalePhotic StimulationComputer scienceHealth InformaticsElectroencephalographyMachine learningcomputer.software_genreBrain mappingComplexity indexHealth Information ManagementReference ValuesmedicineHumansEEGPredictabilityPredictability mapVisual stimulationHealth InformaticAdvanced and Specialized NursingBrain Mappingmedicine.diagnostic_testbusiness.industryStochastic processLocal linear predictionPattern recognitionElectroencephalographySignal Processing Computer-AssistedNeurophysiologymedicine.anatomical_structureNonlinear DynamicsScalpSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaFemaleArtificial intelligencebusinesscomputerAlgorithmsPhotic StimulationMethods of information in medicine
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Gastric outlet obstruction in a neonate because of Peutz-Jeghers syndrome

2012

Neonatal detection of Peutz-Jeghers syndrome is unusual with only 2 cases previously reported in the literature. We describe a neonate presenting with gastric outlet obstruction owing to 2 large Peutz-Jeghers polyps. The child's father and grandmother were known to have Peutz-Jeghers syndrome. On the ninth day of life, the infant underwent colonoscopy, abdominal exploration, and complete surgical resection of 3 polyps. The postoperative course was uneventful, and the patient was discharged home at the age of 3 weeks on full oral feeds. This is the first case report of inherited Peutz-Jeghers syndrome causing gastric outlet obstruction in a neonate.

AdultMalePolyhydramniosSurgical resectioncongenital hereditary and neonatal diseases and abnormalitiesmedicine.medical_specialtyDay of lifePeutz-Jeghers SyndromeColonoscopyPeutz–Jeghers syndromePolypsPregnancyStomach NeoplasmsAbdominal explorationmedicineHumansskin and connective tissue diseasesmedicine.diagnostic_testGastric Outlet Obstructionbusiness.industryInfant NewbornGastric outlet obstructionGeneral Medicinemedicine.diseasedigestive system diseasesSurgeryPediatrics Perinatology and Child HealthFemaleSurgerybusinessJournal of Pediatric Surgery
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Detection of lung cancer in exhaled breath with an electronic nose using support vector machine analysis

2017

Lung cancer is one of the most common malignancies and has a low 5-year survival rate. There are no cheap, simple and widely available screening methods for the early diagnostics of lung cancer. The aim of this study was to determine whether analysis of exhaled breath with an artificial olfactory sensor using support vector analysis can differentiate patients with lung cancer from healthy individuals and patients with other lung diseases, regardless of the stage of lung cancer and the most common comorbidities. Patients with histologically or cytologically verified lung cancer, healthy volunteers and patients with other lung diseases (e.g. chronic obstructive pulmonary disease (COPD), asthm…

AdultMalePulmonary and Respiratory Medicinemedicine.medical_specialtyPathologyLung NeoplasmsSupport Vector MachinePulmonary Disease Chronic Obstructive03 medical and health sciences0302 clinical medicineInternal medicinemedicineHumansElectronic NoseLung cancerSurvival rateAgedNeoplasm StagingAsthmaCOPDLungbusiness.industryCancerMiddle Agedrespiratory systemmedicine.diseaseHealthy Volunteersrespiratory tract diseasesPneumoniamedicine.anatomical_structureBreath Tests030228 respiratory systemExhalationCase-Control Studies030220 oncology & carcinogenesisFemaleSample collectionbusinessJournal of Breath Research
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Diagnosing fatigue in gait patterns by support vector machines and self-organizing maps

2009

The aim of the study was to train and test support vector machines (SVM) and self-organizing maps (SOM) to correctly classify gait patterns before, during and after complete leg exhaustion by isokinetic leg exercises. Ground reaction forces were derived for 18 gait cycles on 9 adult participants. Immediately before the trials 7-12, participants were required to completely exhaust their calves with the aid of additional weights (44.4±8.8kg). Data were analyzed using: (a) the time courses directly and (b) only the deviations from each individual's calculated average gait pattern. On an inter-individual level the person recognition of the gait patterns was 100% realizable. Fatigue recognition …

AdultMaleSelf-organizing mapmedicine.medical_specialtySupport Vector MachineWeight LiftingComputer scienceIndividualityBiophysicsExperimental and Cognitive PsychologyPattern Recognition AutomatedYoung AdultPhysical medicine and rehabilitationmedicineHumansOrthopedics and Sports MedicineGround reaction forceGaitArtificial neural networkMuscle fatiguebusiness.industryBiomechanicsGeneral MedicineGaitBiomechanical PhenomenaSupport vector machineNonlinear DynamicsMuscle FatiguePattern recognition (psychology)Artificial intelligencebusinesshuman activitiesHuman Movement Science
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Radiomic Machine Learning Classifiers in Spine Bone Tumors: A Multi-Software, Multi-Scanner Study

2021

Purpose: Spinal lesion differential diagnosis remains challenging even in MRI. Radiomics and machine learning (ML) have proven useful even in absence of a standardized data mining pipeline. We aimed to assess ML diagnostic performance in spinal lesion differential diagnosis, employing radiomic data extracted by different software. Methods: Patients undergoing MRI for a vertebral lesion were retrospectively analyzed (n = 146, 67 males, 79 females; mean age 63 ± 16 years, range 8-89 years) and constituted the train (n = 100) and internal test cohorts (n = 46). Part of the latter had additional prior exams which constituted a multi-scanner, external test cohort (n = 35). Lesions were la…

AdultMaleSpine.ScannerAdolescentVertebral lesionBone NeoplasmsFeature selectionMachine learningcomputer.software_genre030218 nuclear medicine & medical imagingMachine LearningYoung Adult03 medical and health sciences0302 clinical medicineSoftwareRadiomicsArtificial IntelligenceHumansMedicineRadiology Nuclear Medicine and imagingChildAgedRetrospective StudiesAged 80 and overTraining setbusiness.industryMean ageGeneral MedicineMiddle AgedMagnetic Resonance Imaging030220 oncology & carcinogenesisNeoplasmFemaleArtificial intelligenceRadiomicDifferential diagnosisbusinesscomputerSoftware
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An ensemble analysis of electromyographic activity during whole body pointing with the use of support vector machines.

2011

Import JabRef | WosArea Life Sciences and Biomedicine - Other Topics; International audience; We explored the use of support vector machines (SVM) in order to analyze the ensemble activities of 24 postural and focal muscles recorded during a whole body pointing task. Because of the large number of variables involved in motor control studies, such multivariate methods have much to offer over the standard univariate techniques that are currently employed in the field to detect modifications. The SVM was used to uncover the principle differences underlying several variations of the task. Five variants of the task were used. An unconstrained reaching, two constrained at the focal level and two …

AdultMaleSupport Vector MachineNeural NetworksComputer sciencePosturelcsh:MedicineElectromyographyKinematicsMotor ActivityDIAGNOSISCLASSIFICATIONTask (project management)03 medical and health sciences0302 clinical medicineDiscriminative modelmedicineHumanslcsh:ScienceMuscle SkeletalBiology030304 developmental biologyComputational NeuroscienceMotor Systems0303 health sciencesCOORDINATIONMultidisciplinaryMOVEMENTSmedicine.diagnostic_testbusiness.industryElectromyographylcsh:RUnivariateMotor controlPattern recognitionBiomechanical PhenomenaSupport vector machineKernel methodEQUILIBRIUMPATTERNSARM[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]lcsh:QArtificial intelligencebusiness030217 neurology & neurosurgeryResearch ArticleNeurosciencePloS one
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