Federica Medici
A5026080690- Endometrial and Cervical Cancer Treatments
- Radiomics and Machine Learning in Medical Imaging
- Pharmacological Effects of Medicinal Plants
- Inflammatory Biomarkers in Disease Prognosis
- Nutrition and Health in Aging
- Frailty in Older Adults
- Advanced Radiotherapy Techniques
- Radiation Therapy and Dosimetry
- Cancer Risks and Factors
- Gallbladder and Bile Duct Disorders
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Management of metastatic bone disease
- Bone Metabolism and Diseases
- Cervical Cancer and HPV Research
- Medical Imaging Techniques and Applications
- Surgical Simulation and Training
- Prostate Cancer Treatment and Research
- Neuroendocrine regulation and behavior
- Circular RNAs in diseases
- Nutritional Studies and Diet
- Oral health in cancer treatment
- Global Cancer Incidence and Screening
- Meningioma and schwannoma management
- Color perception and design
- Advanced X-ray and CT Imaging
Institut Gustave Roussy
2025
University of Bologna
2018-2025
Azienda USL di Bologna
2022-2025
Azienda Sanitaria Unità Locale di Reggio Emilia
2025
Istituti di Ricovero e Cura a Carattere Scientifico
2025
Background A CE- and FDA-approved cloud-based Deep learning (DL)-tool for automatic organs at risk (OARs) clinical target volumes segmentation on computer tomography images is available. Before its implementation in the practice, an independent external validation was conducted. Methods At least a senior two training Radiation Oncologists (ROs) manually contoured of interest (VOIs) 6 tumoral sites. The auto-segmented contours were retrieved from DL-tool and, if needed, corrected by ROs....
This study is aimed at investigating the cytotoxicity, anti‐inflammatory, and angiogenic activities of two Boswellia serrata extracts on primary culture porcine aortic endothelial cells (pAECs). Chemical characterization a dry extract (extract A) hydroenzymatic G) B. was performed by HPLC using pure boswellic acids (BAs) as standard. In cultured pAECs, G improved cell viability, following LPS challenge, in dose‐dependent manner did not show any toxic effect. On other hand, A higher doses...
Systemic inflammation indices were found to be correlated with therapeutic outcome in several cancers. This study retrospectively analyzes the predictive role of a broad range systemic inflammatory markers patients locally advanced cervical cancer (LACC) including patient-, tumor-, and treatment-related potential prognostic factors. All underwent definitive chemoradiation pretreatment values (neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio, monocyte/lymphocyte immune index...
Locally advanced cervical cancer represents a significant treatment challenge. Body composition parameters such as body mass index, sarcopenia, and sarcopenic obesity, defined by sarcopenia BMI ≥ 30 kg/m
Abstract Background Multimorbidity is a growing concern for healthcare systems, with many countries experiencing demographic transition to older population profiles. A simple multisource comorbidity score (MCS) has been recently developed and validated. very large real-world investigation was conducted the aim of measuring inequalities in MCS distribution across Italy. Methods Beneficiaries Italian National Health Service aged 50–85 years who 2018 were resident one 10 participant regions...
Background: Bone metastases (BMs) are a common complication in patients with cancer, often leading to significant pain that adversely affects quality of life, necessitating effective management strategies. This study aims evaluate the effectiveness BMs undergoing palliative radiotherapy and identify determinants adequacy. Methods: We conducted an observational analysis 560 from Palliative Radiotherapy Inflammation Study (PRAIS) trial across several European centers, focusing on Pain...
Background/Objective: This study aimed to assess the prognostic significance of pretreatment nutritional and systemic inflammatory indices (IIs), body composition parameters in patients with locally advanced cervical cancer (LACC) treated chemoradiation brachytherapy. The goal was identify key predictors clinical outcomes, such as local control (LC), metastasis-free survival (MFS), disease-free (DFS), overall (OS), using machine learning techniques. Materials methods: A retrospective...
To measure indicators of timeliness and continuity treatments on patients with schizophrenic disorder in 'real-life' practice, to validate them through their relationship relapse occurrences.The target population was from four Italian regions overall covering 22 million beneficiaries the NHS (37% entire population). The cohort included 12,054 newly taken into care for between January 2015 June 2016. self-controlled case series (SCCS) design used estimate incidence rate ratio occurrences...
Locally advanced cervical cancer (LACC) is treated with concurrent chemoradiation (CRT). Predictive models could improve the outcome through treatment personalization. Several factors influence prognosis in LACC, but role of systemic inflammation indices (IIs) unclear. This study aims to assess correlation between IIs and a large patient cohort considering several clinical data. We retrospectively analyzed pretreatment (NLR, PLR, MLR, SII, LLR, COP-NLR, APRI, ALRI, SIRI, ANRI) 173 LACC...
Objective: To study the emotional state of cognitively impaired patients through color choice preference in a group Alzheimer's disease (AD) and compare it with Mild Cognitive Impairment (MCI) matched control group. Methods: A total 71 AD, 50 MCI 68 controls were consecutively evaluated. All underwent Mini Mental State Evaluation (MMSE) Lüscher test. Results: Cognitively mainly chose auxiliary colors, particular violet brown, rejected black gray. AD predominantly forms corresponding to...
The decision to administer palliative radiotherapy (RT) patients with bone metastases (BMs), as well the selection of treatment protocols (dose, fractionation), requires an accurate assessment survival expectancy. In this study, we aimed develop three predictive models (PMs) estimate short-, intermediate-, and long-term overall (OS) for in clinical setting.