0000000000855222

AUTHOR

Rosario Paratore

showing 1 related works from this author

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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