Research: Integrative Radiogenomic Approach to Predict Chemotherapy Response in Advanced High-Grade Serous Ovarian Cancer
MD – Board-Certified Specialist in Diagnostic Radiology
EDUCATION AND TRAINING
November 2025 – Present
PhD Program (41st cycle) in Network Oncology and Precision Medicine
Sapienza Università di Roma
November 2021 – October 2025
Residency in Diagnostic Radiology – Final grade: 70/70 with honors
Sapienza Università di Roma – Policlinico Umberto I
Specialization Thesis:
“Validation of radiomic models in magnetic resonance imaging for the classification and risk stratification of ovarian masses”
Supervisor: Prof. Lucia Manganaro
October 2012 – June 2021
MD Degree in Medicine and Surgery – Final grade: 107/110
Sapienza Università di Roma
Medical Degree Thesis:
“Risk factors for preterm birth: correlations with neonatal outcomes and preventive strategies”
Supervisor: Prof. Pasquale Mancino
October 2020
Basic Life Support (BLS) Certification
American Heart Association
PROFESSIONAL EXPERIENCE
November 2021 – October 2025
Resident in Diagnostic Radiology
Sapienza Università di Roma – Policlinico Umberto I
Clinical and research activities with particular focus on:
Oncologic CT and MRI imaging
Female urogenital imaging
Obstetric and fetal imaging
Multiparametric MRI (DWI, ADC, IVIM)
Radiomics and quantitative imaging analysis
Assessment of therapeutic response in gynecologic oncology
September 2021 – October 2021
Vaccination Physician – SARS-CoV-2 National Vaccination Campaign
ACEA Pfizer Vaccination Hub, Rome
Administration of COVID-19 vaccines, pre-vaccination clinical assessment, informed consent management, and post-vaccination monitoring within the Italian national vaccination program.
SPECIFIC SKILLS
Clinical Radiology Expertise
Oncologic CT and MRI
Female urogenital imaging (ovarian, endometrial, and cervical malignancies)
Obstetric and fetal MRI
Multiparametric MRI (DWI, ADC mapping, IVIM)
Imaging-based assessment of treatment response in gynecologic oncology
Quantitative Imaging and Radiomics
Radiomic feature extraction and analysis
Use of DeepTrace – Trace4Research platform
Tumor segmentation and ROI-based quantitative analysis
Integration of imaging data with clinical and molecular datasets
Information Systems
Advanced use of multiple hospital RIS and PACS systems
Clinical-radiological database management for retrospective and prospective studies
Research Skills
Design of clinical-radiological studies
Critical appraisal of scientific literature
Scientific manuscript preparation
Research activity in radiomics and radiogenomics
RESEARCH ACTIVITY
PhD Project
Title:
"Integrative Radiogenomic Approach to Predict Chemotherapy Response in Advanced High-Grade Serous Ovarian Cancer"
This PhD project is positioned within the field of precision oncology and aims to develop an integrated radiogenomic model in patients with advanced-stage high-grade serous ovarian cancer (HGSOC).
The study is prospective, monocentric, and designed to enroll 60 patients with newly diagnosed, histologically confirmed advanced HGSOC who are not eligible for primary cytoreductive surgery. All patients will undergo baseline CT and multiparametric MRI examinations.
Primary Objectives
To investigate associations between CT- and MRI-derived imaging biomarkers and:
Histopathological features
Serum biomarkers (CA-125, circulating miRNAs)
Tumor genomic profiles
To assess the prognostic value of radiogenomics in predicting chemotherapy response, measured by the Chemotherapy Response Score (CRS)
To identify correlations between radiomic signatures and chemotherapy resistance
Methodology
Multiparametric MRI (including DWI and quantitative analysis)
Texture analysis and radiomic feature extraction
Integration of radiological, histopathological, and genomic data
Development of predictive algorithms for:
Treatment response
Disease-Free Survival (DFS)
Overall Survival (OS)
The ultimate goal is to establish a prognostic radiogenomic signature capable of supporting therapeutic stratification and advancing personalized treatment strategies in advanced ovarian cancer.