Monica DI Tommaso

Prognostic Role of Inflammatory Blood Cell Ratios in Glioblastoma Patients: Insights from a Single-institution Study

Marco Lucarelli, CARLO DESIDERIO, Giulia De Pasquale, ROSARIO BONELLI et autres

Background/Aim: Glioblastoma multiforme (GBM) is the most common and aggressive primary malignant brain tumor, with a poor prognosis despite standardized multimodal treatment. Recent research has explored the prognostic value of systemic inflammatory markers, which could provide accessible and cost-effective indicators of patient …

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MRI-Based Morphological Features as Predictors of Clinical Outcomes in Locally Advanced Rectal Cancer Treated with Neoadjuvant Chemoradiotherapy: Insights from a Single-Institution Experience

Marco Lucarelli, Consuelo G.G. Rosa, Giulia de Pasquale, Monica DI Tommaso et autres

Objectives: This study evaluates MRI-based morphological features as predictors of long-term clinical outcomes in patients with locally advanced rectal cancer (LARC) treated with neoadjuvant chemoradiotherapy (CRT). Methods: A retrospective analysis was performed on 134 patients treated between 2014 and 2024. Patients underwent …

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4229 PATHOLOGICAL COMPLETE RESPONSE AND MRI FEATURES IN LOCALLY ADVANCED RECTAL CANCER: A MONO INSTITUTIONAL EXPERIENCE

Marco Lucarelli, Giulia De Pasquale, Rosario Bonelli, Monica DI Tommaso et autres

4149 IMPACT OF LATERAL LYMPH NODES ON CLINICAL OUTCOMES IN NEOADJUVANT RADIOCHEMOTHERAPY FOR LOCALLY ADVANCED RECTAL CANCER: A MONOINSTITUTIONAL EXPERIENCE

Marco Lucarelli, Giulia De Pasquale, Rosario Bonelli, Monica DI Tommaso et autres

1824: Impact of dose intensification Radiochemotherapy for rectal cancer: a monoinstitutional experience

Marco Lucarelli, Rosario Bonelli, Monica DI Tommaso, Marta Di Nicola et autres

DWI-MR and PET-CT Functional Imaging for Boost Tumor Volume Delineation in Neoadjuvant Rectal Cancer Treatment

Consuelo Rosa, Lucrezia Gasparini, Fiorella Cristina Di Guglielmo, Luciana Caravatta et autres

Abstract Background/Aim: T2 weighted magnetic resonance (MR) imaging is the gold standard for locally advanced rectal cancer (LARC) staging. The potential benefit of functional imaging, as diffusion-weighted MR (DWI) and positron emission tomography-computed tomography (PET-CT), could be considered for treatment intensification strategies. …

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Smile InTM Totems in Radiotherapy: Patients’ Satisfaction with Limited Equipment and COVID-19

Marzia Borgia, Fiorella Cristina Di Guglielmo, Marco Lucarelli, Rosario Bonelli et autres

BACKGROUND: ) project, in critical scenarios of limited equipment and COVID-19. MATERIAL AND METHODS: Patient-reported experience measures (PREMs) were assessed as follows: Patient-centric welcome perception (PCWP), Comfort, Professional skills and Punctuality. Patients could give anonymous feedback using HappyOrNot technology through four totems …

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Whole breast radiotherapy in cN0 early breast cancer patients with pathological sentinel lymph nodes (pN1mic, pN1a) without axillary dissection: preliminary results of the observational LISEN trial

Lucia Anna Ursini, Marianna Nuzzo, Consuelo Rosa, Marzia Borgia et autres

PURPOSE: Axillary management remains unclear when sentinel lymph node (SLN) results are positive in cN0 patients with breast cancer (BC). The trial ACOSOG Z0011 represented a revolution with axillary lymph node dissection (ALND) omission in SLN+ patients, despite critiques regarding non-uniformity of …

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PO-1147 Whole breast Radiotherapy in cT1-2 cN0 with pN+ sentinel nodes: preliminary results of LISEN trial

Marzia Borgia, Cesare Rosa, Lucia Anna Ursini, Marianna Nuzzo et autres

PO-1137 A prospective study on Quality of life in patients treated with radiotherapy for early breast cancer

Fiorella Cristina Di Guglielmo, Lucia Anna Ursini, Marianna Nuzzo, Carlo De Rosa et autres

OC-0402 Metabolomics as predictor of treatment response in neoadjuvant chemoradiation for rectal cancer

Consuelo Rosa, Fiorella Cristina Di Guglielmo, Lucrezia Gasparini, Luciana Caravatta et autres

PO-1819 Prediction of rectal cancer tumor response with MRI-based clinical Radiomics Model

Fiorella Cristina Di Guglielmo, Lucrezia Gasparini, Luciana Caravatta, Monica DI Tommaso et autres