Tiziana Rancati
University of Milan
CancerInternal medicineRadiologyUrologySurgeryOncologyProspective cohort studyCohort studyProstateAbdominal surgeryProstate cancerRectumPopulationToxicityNuclear medicineIn patientRadiation therapyBreast cancerMedicineCohortUrinary systemGastroenterology
301Publications
27H-index
2,478Citations
Publications 300
Newest
Source
#1Anna CavalloH-Index: 7
#2Tiziana RancatiH-Index: 27
Last. E. OrlandiH-Index: 3
view all 18 authors...
Source
#2Andrea BresolinH-Index: 1
Last. Cesare CozzariniH-Index: 43
view all 20 authors...
Source
#1Andrea BresolinH-Index: 1
Last. Cesare CozzariniH-Index: 43
view all 20 authors...
Source
#1E. OrlandiH-Index: 3
#2Giuseppina CalaresoH-Index: 14
Last. Marco BolognaH-Index: 6
view all 19 authors...
Source
#1Fernando MunozH-Index: 18
#2Giuseppe SanguinetiH-Index: 37
Last. Cesare CozzariniH-Index: 43
view all 20 authors...
Source
#1Tim Rattay (University of Leicester)H-Index: 8
#2Petra Seibold (DKFZ: German Cancer Research Center)H-Index: 27
Last. Sheryl GreenH-Index: 17
view all 119 authors...
Background: Acute skin toxicity is a common and usually transient side-effect of breast radiotherapy although, if sufficiently severe, it can affect breast cosmesis, aftercare costs and the patient's quality-of-life. The aim of this study was to develop predictive models for acute skin toxicity using published risk factors and externally validate the models in patients recruited into the prospective multi-center REQUITE (validating pREdictive models and biomarkers of radiotherapy toxicity to red...
1 CitationsSource
#1Michela Carlotta Massi (Polytechnic University of Milan)H-Index: 2
#2Francesca Gasperoni (Medical Research Council)
Last. Tiziana RancatiH-Index: 27
view all 46 authors...
Background: REQUITE (validating pREdictive models and biomarkers of radiotherapy toxicity to reduce side effects and improve QUalITy of lifE in cancer survivors) is an international prospective cohort study. The purpose of this project was to analyse a cohort of patients recruited into REQUITE using a deep learning algorithm to identify patient-specific features associated with the development of toxicity, and test the approach by attempting to validate previously published genetic risk factors....
2 CitationsSource
#1Marco Bologna (Polytechnic University of Milan)H-Index: 6
#2Valentina D. A. Corino (Polytechnic University of Milan)H-Index: 15
Last. Ester OrlandiH-Index: 23
view all 21 authors...
Advanced stage nasopharyngeal cancer (NPC) shows highly variable treatment outcomes, suggesting the need for independent prognostic factors. This study aims at developing a magnetic resonance imaging (MRI)-based radiomic signature as a prognostic marker for different clinical endpoints in NPC patients from non-endemic areas. A total 136 patients with advanced NPC and available MRI imaging (T1-weighted and T2-weighted) were selected. For each patient, 2144 radiomic features were extracted from th...
1 CitationsSource
Source