0000000000718812

AUTHOR

M. Chust

showing 3 related works from this author

Malignant Peripheral Nerve Sheath Tumor With Osseous Heterologous Differentiation in Uncommon Locations (Heart and Retropharynx)

2016

We report two cases of malignant peripheral nerve sheath tumor (MPNST) in an uncommon location (heart and retropharynx) both with divergent osseous heterologous differentiation. We present the pathological and immunohistochemical studies that confirmed the neurogenic origin. The histopathology of the tumor arising in the retropharynx showed a transition from a neurofibroma to MPNST, making this a new report of an MPNST arising from a plexiform neurofibroma without neurofibromatosis. Primary cardiac MPNST with osseous differentiation has never been reported before. In conclusion, the histology of MPNSTs is very heterogeneous, showing no specific diagnostic immunoprofile or genetic alteration…

AdultMalemedicine.medical_specialtyPathologySoft Tissue NeoplasmHeterologousSoft Tissue NeoplasmsMalignant peripheral nerve sheath tumor030204 cardiovascular system & hematologyBiologyPathology and Forensic MedicineHeart NeoplasmsYoung Adult03 medical and health sciences0302 clinical medicinePlexiform neurofibromaBiomarkers TumormedicineHumansNeurofibromamalignant peripheral nerve sheath tumorNeurofibromatosisNeurofibroma PlexiformOssification HeterotopicCell Differentiationmedicine.diseaseImmunohistochemistrydivergent heterologous differentiation030220 oncology & carcinogenesisPharynxImmunohistochemistryFemaleSurgeryHistopathologyheart and retropharynxAnatomyNeurilemmoma
researchProduct

Comment on “Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibili…

2017

We have read with great interest the article published by Tiwari et al, “Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study.”[1][1] In their article, they refer to our work regarding brain metastasis

medicine.diagnostic_testbusiness.industryTexture (cosmology)Brain NeoplasmsRecurrent brain tumorsMultiparametric MRIMagnetic resonance imagingmedicine.diseaseMagnetic Resonance ImagingArticle030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineMedicineFeasibility StudiesHumansRadiology Nuclear Medicine and imagingNeurology (clinical)businessNuclear medicineRadiation Injuries030217 neurology & neurosurgeryBrain metastasis
researchProduct

Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI

2015

Purpose To develop a classification model using texture features and support vector machine in contrast-enhanced T1-weighted images to differentiate between brain metastasis and radiation necrosis. Methods Texture features were extracted from 115 lesions: 32 of them previously diagnosed as radiation necrosis, 23 as radiation-treated metastasis and 60 untreated metastases; including a total of 179 features derived from six texture analysis methods. A feature selection technique based on support vector machine was used to obtain a subset of features that provide optimal performance. Results The highest classification accuracy evaluated over test sets was achieved with a subset of ten features…

Pathologymedicine.medical_specialtymedicine.diagnostic_testReceiver operating characteristicbusiness.industryMagnetic resonance imagingPattern recognitionFeature selectionmedicine.diseaseMetastasisSupport vector machineRadiation necrosismedicineRadiology Nuclear Medicine and imagingArtificial intelligencebusinessClassifier (UML)Brain metastasisJournal of Magnetic Resonance Imaging
researchProduct