Search results for "radiomics"

showing 7 items of 47 documents

The role of PET radiomic features in prostate cancer: a systematic review

2021

Aim: This systematic review aims to present the available evidence on the use of radiomic features (RFs) extracted from PET imaging in patients with prostate cancer (PCa). Materials and methods: A comprehensive literature search of studies on the utility of PET-derived RFs in patients with PCa was performed in the PubMed/MEDLINE database through February 24th, 2021 using the following search string: [“positron-emission tomography” (MeSh terms) OR “positron emission tomography computed tomography” (MeSh terms) OR “positron-emission tomography” (all fields) OR “positron emission tomography computed tomography” (all fields) OR “PET” (all fields)] AND [“radiomics” (all fields) OR “radiomic” (al…

medicine.medical_specialtyPositron emission tomographymedicine.medical_treatmentRadiogenomics030218 nuclear medicine & medical imaging03 medical and health sciencesProstate cancer0302 clinical medicineProstateMachine learningCarcinomamedicineRadiology Nuclear Medicine and imagingLymph nodeProstate cancerRadiomicsmedicine.diagnostic_testbusiness.industryInterventional radiologyDeep learningmedicine.diseaseRadiation therapymedicine.anatomical_structure030220 oncology & carcinogenesisRadiologyTomographybusiness
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Quantitative magnetic resonance imaging for focal liver lesions: bridging the gap between research and clinical practice

2021

Magnetic resonance imaging (MRI) is highly important for the detection, characterization, and follow-up of focal liver lesions. Several quantitative MRI-based methods have been proposed in addition to qualitative imaging interpretation to improve the diagnostic work-up and prognostics in patients with focal liver lesions. This includes DWI with apparent diffusion coefficient measurements, intravoxel incoherent motion, perfusion imaging, MR elastography, and radiomics. Multiple research studies have reported promising results with quantitative MRI methods in various clinical settings. Nevertheless, applications in everyday clinical practice are limited. This review describes the basic princ…

medicine.medical_specialtyQuantitative magnetic resonance imagingContrast MediaPerfusion scanningReview Article030218 nuclear medicine & medical imaging03 medical and health sciencesImaging Three-Dimensional0302 clinical medicineImage Interpretation Computer-AssistedmedicineHumansEffective diffusion coefficientRadiology Nuclear Medicine and imagingIn patientIntravoxel incoherent motionRadiomicsmedicine.diagnostic_testbusiness.industryLiver NeoplasmsMagnetic resonance imagingGeneral MedicinePerfusion imagingImage EnhancementPrognosisMagnetic Resonance ImagingClinical PracticeDiffusion Magnetic Resonance Imaging030220 oncology & carcinogenesisElasticity Imaging TechniquesDiffusion-weighted imagingRadiologyElastographyElastographySettore MED/36 - Diagnostica Per Immagini E RadioterapiabusinessThe British Journal of Radiology
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New advances in radiomics of gastrointestinal stromal tumors

2020

Gastrointestinal stromal tumors (GISTs) are uncommon neoplasms of the gastrointestinal tract with peculiar clinical, genetic, and imaging characteristics. Preoperative knowledge of risk stratification and mutational status is crucial to guide the appropriate patients' treatment. Predicting the clinical behavior and biological aggressiveness of GISTs based on conventional computed tomography (CT) and magnetic resonance imaging (MRI) evaluation is challenging, unless the lesions have already metastasized at the time of diagnosis. Radiomics is emerging as a promising tool for the quantification of lesion heterogeneity on radiological images, extracting additional data that cannot be assessed b…

medicine.medical_specialtyStromal cellGastrointestinal Stromal TumorsComputed tomographyTexture analysis.Clinical applications03 medical and health sciences0302 clinical medicineMagnetic resonance imagingRadiomicsmedicineMutational statusHumansComputed tomographyGastrointestinal NeoplasmsRadiomicsmedicine.diagnostic_testbusiness.industryGastroenterologyMagnetic resonance imagingMinireviewsGeneral MedicinePrognosisClinical applicationClinical PracticeTexture analysis030220 oncology & carcinogenesisRisk stratification030211 gastroenterology & hepatologyRadiologyDifferential diagnosisGastrointestinal stromal tumorRadiomicbusinessTomography X-Ray Computed
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Prognostic Value of Radiomics Signature By Diagnostic 18F-FDG PET/CT Analysis in Aggressive Non-Hodgkin's Lymphoma

2018

Abstract BACKGROUND Although the overall prognosis of patients with aggressive non-Hodgkin's lymphoma (NHL) has improved, nearly a third of patients will have refractory disease or relapse. Identification of these high-risk patients using traditional prognostic factors is limited. PET is the recommended imaging modality for the staging of FDG-avid lymphoma but the value of a comprehensive new imaging biomarkers analysis applied to PET for the prediction of patients outcome has still not been deeply investigated. New metrics estimating the overall tumor burden such as metabolic tumor volume (MTV) and those that may capture intratumoral biological heterogeneity such as total lesion glycolysis…

medicine.medical_specialtybusiness.industryImmunologyCell BiologyHematologyMetabolic tumor volumemedicine.diseaseLinear discriminant analysisBiochemistryLymphomaNon-Hodgkin's lymphomaCorrelationRadiomicsKurtosisMedicineFdg pet ctRadiologybusinessBlood
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2021

Abstract Background Clinical management ranges from surveillance or curettage to wide resection for atypical to higher-grade cartilaginous tumours, respectively. Our aim was to investigate the performance of computed tomography (CT) radiomics-based machine learning for classification of atypical cartilaginous tumours and higher-grade chondrosarcomas of long bones. Methods One-hundred-twenty patients with histology-proven lesions were retrospectively included. The training cohort consisted of 84 CT scans from centre 1 (n=55 G1 or atypical cartilaginous tumours; n=29 G2-G4 chondrosarcomas). The external test cohort consisted of the CT component of 36 positron emission tomography-CT scans from…

medicine.medical_specialtybusiness.industrymedicine.medical_treatmentGeneral Medicinemedicine.diseaseTraining cohortGeneral Biochemistry Genetics and Molecular BiologyCurettageStatistical classificationMcNemar's testRadiomicsCohortmedicineRadiologyChondrosarcomabusinessWide resectionEBioMedicine
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Evaluation of Resection Margin after Image-Guided Dural Tail Resection in Convexity Meningiomas

2021

Infiltration of adjacent dura with meningioma cells is a common phenomenon. Wide resection of the dural tail (DT) to achieve a gross total resection is a general recommendation. We aimed to investigate a tumor cell infiltration of the DT after image-guided resection of convexity meningiomas. The study’s inclusion criteria were the diagnosis of convexity meningioma, planned Simpson I° resection, and an identifiable DT. Intraoperative image-guidance was applied to identify the outer edge of the DT and to guide resection. After resection, en-bloc specimen or four samples of outermost pieces of DT in case of piecemeal resection were sent for histological analysis. In addition to resection margi…

medicine.medical_specialtylcsh:MedicinemeningiomaArticleResectionMeningioma03 medical and health sciences0302 clinical medicinemedicinenavigationbusiness.industrylcsh:Rresection marginHistologyGeneral Medicinemedicine.diseaseGross Total Resectiondural tailradiomics030220 oncology & carcinogenesisResection marginRadiologybusinessInfiltration (medical)Wide resection030217 neurology & neurosurgerySuperior sagittal sinusJournal of Clinical Medicine
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Radiomics Analysis of Brain [18F]FDG PET/CT to Predict Alzheimer’s Disease in Patients with Amyloid PET Positivity: A Preliminary Report on the Appli…

2022

Background: Early in-vivo diagnosis of Alzheimer’s disease (AD) is crucial for accurate management of patients, in particular, to select subjects with mild cognitive impairment (MCI) that may evolve into AD, and to define other types of MCI non-AD patients. The application of artificial intelligence to functional brain [18F]fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography(CT) aiming to increase diagnostic accuracy in the diagnosis of AD is still undetermined. In this field, we propose a radiomics analysis on advanced imaging segmentation method Statistical Parametric Mapping (SPM)-based completed with a Machine-Learning (ML) application to predict the diagnosi…

radiomics; Alzheimer’s disease; PET/CT; machine learningAlzheimer’s disease; machine learning; PET/CT; radiomicsmachine learningPET/CTradiomicsradiomicClinical Biochemistryradiomics; Alzheimer's disease; PET/CT; machine learningAlzheimer’s diseaseDiagnostics
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