0000000000726336

AUTHOR

Silvia Albano

showing 2 related works from this author

Whole-Body Magnetic Resonance Imaging: Current Role in Patients with Lymphoma.

2021

Imaging of lymphoma is based on the use of 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT) and/or contrast-enhanced CT, but concerns have been raised regarding radiation exposure related to imaging scans in patients with cancer, and its association with increased risk of secondary tumors in patients with lymphoma has been established. To date, lymphoproliferative disorders are among the most common indications to perform whole-body magnetic resonance imaging (MRI). Whole-body MRI is superior to contrast-enhanced CT for staging the disease, also being less dependent on histology if compared to 18F-FDG-PET/CT. As well, it does not require exposure to i…

Medicine (General)medicine.medical_specialtydiffusion-weighted imagingClinical BiochemistryWhole body imagingLymphoproliferative disorderslymphomaReviewwhole-body imaging030218 nuclear medicine & medical imagingIonizing radiation03 medical and health sciencesR5-9200302 clinical medicinehemic and lymphatic diseasesmedicinemagnetic resonance imagingmedicine.diagnostic_testbusiness.industryCancerMagnetic resonance imagingstagingmedicine.diseaseLymphomaPositron emission tomography030220 oncology & carcinogenesisRadiologybusinessDiffusion MRIDiagnostics (Basel, Switzerland)
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Whole-body MRI radiomics model to predict relapsed/refractory Hodgkin Lymphoma: A preliminary study.

2022

Purpose A strong prognostic score that enables a stratification of newly diagnosed Hodgkin Lymphoma (HL) to identify patients at high risk of refractory/relapsed disease is still needed. Our aim was to investigate the potential value of a radiomics analysis pipeline from whole-body MRI (WB-MRI) exams for clinical outcome prediction in patients with Hodgkin Lymphoma (HL). Materials and methods Index lesions from baseline WB-MRIs of 40 patients (22 females; mean age 31.7 ± 11.4 years) with newly diagnosed HL treated by ABVD chemotherapy regimen were manually segmented on T1-weighted, STIR, and DWI images for texture analysis feature extraction. A machine learning approach based on the Extra T…

AdultPositron emission tomographymedicine.medical_specialtyWhole body mriBiomedical EngineeringBiophysicsVinblastineBleomycinYoung AdultRefractoryRadiomicsPositron Emission Tomography Computed TomographyMachine learningAntineoplastic Combined Chemotherapy ProtocolsMedicineHumansRadiology Nuclear Medicine and imagingMagnetic resonance imaging Positron emission tomography Machine learning Texture analysis Hodgkin Lymphomamedicine.diagnostic_testHodgkin Lymphomabusiness.industryMagnetic resonance imagingMetabolic tumor volumeHodgkin DiseaseMagnetic Resonance ImagingDacarbazineTexture analysisPositron emission tomographyDoxorubicinRelapsed refractoryHodgkin lymphomaFemaleRadiologySettore MED/36 - Diagnostica Per Immagini E RadioterapiabusinessMagnetic resonance imaging
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