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16 results on '"Maurea, Simone"'

1. Tumor Burden of Iodine-Avid Bone Metastatic Thyroid Cancer Identified via 18F-Sodium Fluoride PET/CT Imaging

Author

Nappi, Carmela, primary, Zampella, Emilia, additional, Gaudieri, Valeria, additional, Volpe, Fabio, additional, Piscopo, Leandra, additional, Vallone, Carlo, additional, Pace, Leonardo, additional, Ponsiglione, Andrea, additional, Maurea, Simone, additional, Nicolai, Emanuele, additional, Cuocolo, Alberto, additional, and Klain, Michele, additional

Published
2024
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2. Prediction of 2-[18F]FDG PET-CT SUVmax for Adrenal Mass Characterization: A CT Radiomics Feasibility Study

Author

Stanzione, Arnaldo, primary, Cuocolo, Renato, additional, Bombace, Claudia, additional, Pesce, Ilaria, additional, Mainolfi, Ciro Gabriele, additional, De Giorgi, Marco, additional, Delli Paoli, Gregorio, additional, La Selva, Pasquale, additional, Petrone, Jessica, additional, Camera, Luigi, additional, Klain, Michele, additional, Del Vecchio, Silvana, additional, Cuocolo, Alberto, additional, and Maurea, Simone, additional

Published
2023
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4. MRI Liver Imaging Integrated with Texture Analysis in Native Liver Survivor Patients with Biliary Atresia after Kasai Portoenterostomy: Correlation with Medical Outcome after Surgical Treatment

Author

Caruso, Martina, primary, Stanzione, Arnaldo, additional, Ricciardi, Carlo, additional, Di Dato, Fabiola, additional, Pisani, Noemi, additional, Delli Paoli, Gregorio, additional, De Giorgi, Marco, additional, Liuzzi, Raffaele, additional, Mollica, Carmine, additional, Romeo, Valeria, additional, Iorio, Raffaele, additional, Cesarelli, Mario, additional, Brunetti, Arturo, additional, and Maurea, Simone, additional

Published
2023
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6. Second Primary Malignancies in Patients with Differentiated Thyroid Cancer after Radionuclide Therapy: A Retrospective Single-Centre Study

Author

Piscopo, Leandra, primary, Volpe, Fabio, additional, Nappi, Carmela, additional, Zampella, Emilia, additional, Manganelli, Mariarosaria, additional, Matrisciano, Francesca, additional, Totaro, Pasquale, additional, Pace, Leonardo, additional, Maurea, Simone, additional, Cuocolo, Alberto, additional, and Klain, Michele, additional

Published
2022
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9. Qualitative Heterogeneous Signal Drop on Chemical Shift (CS) MR Imaging: Correlative Quantitative Analysis between CS Signal Intensity Index and Contrast Washout Parameters Using T1-Weighted Sequences

Author

Stanzione, Arnaldo, primary, Verde, Francesco, additional, Galatola, Roberta, additional, Romeo, Valeria, additional, Liuzzi, Raffaele, additional, Mainenti, Pier Paolo, additional, Aprea, Giovanni, additional, Klain, Michele, additional, Guadagno, Elia, additional, Del Basso De Caro, Marialaura, additional, and Maurea, Simone, additional

Published
2021
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11. Characterization of Atypical Pheochromocytomas with Correlative MRI and Planar/Hybrid Radionuclide Imaging: A Preliminary Study

Author

Galatola, Roberta, primary, Attanasio, Ludovica, additional, Romeo, Valeria, additional, Mainolfi, Ciro, additional, Klain, Michele, additional, Simeoli, Chiara, additional, Modica, Roberta, additional, Guadagno, Elia, additional, Aprea, Giovanni, additional, Basso, Luca, additional, Nicolai, Emanuele, additional, Salvatore, Marco, additional, and Maurea, Simone, additional

Published
2021
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14. Oncologic Imaging and Radiomics: A Walkthrough Review of Methodological Challenges

Author

Arnaldo Stanzione, Renato Cuocolo, Lorenzo Ugga, Francesco Verde, Valeria Romeo, Arturo Brunetti, Simone Maurea, Stanzione, Arnaldo, Cuocolo, Renato, Ugga, Lorenzo, Verde, Francesco, Romeo, Valeria, Brunetti, Arturo, and Maurea, Simone

Subjects
Cancer Research, research quality, Oncology, radiomics, reproducibility, oncologic imaging, evidence-based medicine, radiomic
Abstract

Imaging plays a crucial role in the management of oncologic patients, from the initial diagnosis to staging and treatment response monitoring. Recently, it has been suggested that its importance could be further increased by accessing a new layer of previously hidden quantitative data at the pixel level. Using a multi-step process, radiomics extracts potential biomarkers from medical images that could power decision support tools. Despite the growing interest and rising number of research articles being published, radiomics is still far from fulfilling its promise of guiding oncologic imaging toward personalized medicine. This is, at least partly, due to the heterogeneous methodological quality in radiomic research, caused by the complexity of the analysis pipelines. In this review, we aim to disentangle this complexity with a stepwise approach. Specifically, we focus on challenges to face during image preprocessing and segmentation, how to handle imbalanced classes and avoid information leaks, as well as strategies for the proper validation of findings.

Published
2022

15. Tumor Burden of Iodine-Avid Bone Metastatic Thyroid Cancer Identified via 18 F-Sodium Fluoride PET/CT Imaging.

Author

Nappi C, Zampella E, Gaudieri V, Volpe F, Piscopo L, Vallone C, Pace L, Ponsiglione A, Maurea S, Nicolai E, Cuocolo A, and Klain M

Abstract

Background: Patients with differentiated thyroid cancer (DTC) are referred to radioactive 131 I (RAI) therapy and post-therapy 131 I whole-body scintigraphy (WBS) to identify local and/or remote metastases. Positron emission tomography (PET)/computed tomography (CT) imaging with 18 F-fluoro-D-glucose (FDG) or 18 F-sodium fluoride (NaF) may also be used with these patients for the evaluation of bone metastases. We compared the role of 18 F-NaF PET/CT and 18 F-FDG-PET/CT in patients with DTC and documented bone metastases at post-therapy WBS., Methods: Ten consecutive DTC patients with iodine avid bone metastasis at post-therapy WBS referred to 18 F-NaF PET/CT and 18 F-FDG PET/CT were studied. The findings of the three imaging procedures were compared for abnormal detection rates and concordance., Results: At post-therapy 131 I WBS, all patients had skeletal involvement with a total of 21 bone iodine avid lesions. At 18 F-FDG PET/TC, 19 bone lesions demonstrated increased tracer uptake and CT pathological alterations, while 2 lesions did not show any pathological finding. At 18 F-NaF PET/CT, the 19 bone lesions detected at 18 F-FDG PET/TC also demonstrated abnormal tracer uptake, and the other 2 bone iodine avid foci did not show any pathological finding., Conclusions: In patients with DTC, 18 F-NaF PET/CT did not obtain more information on the metastatic skeletal involvement than post-therapy 131 I WBS and 18 F-FDG PET/CT.

Published
2024
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16. Artificial Intelligence and Radiomics for Endometrial Cancer MRI: Exploring the Whats, Whys and Hows.

Author

Leo E, Stanzione A, Miele M, Cuocolo R, Sica G, Scaglione M, Camera L, Maurea S, and Mainenti PP

Abstract

Endometrial cancer (EC) is intricately linked to obesity and diabetes, which are widespread risk factors. Medical imaging, especially magnetic resonance imaging (MRI), plays a major role in EC assessment, particularly for disease staging. However, the diagnostic performance of MRI exhibits variability in the detection of clinically relevant prognostic factors (e.g., deep myometrial invasion and metastatic lymph nodes assessment). To address these challenges and enhance the value of MRI, radiomics and artificial intelligence (AI) algorithms emerge as promising tools with a potential to impact EC risk assessment, treatment planning, and prognosis prediction. These advanced post-processing techniques allow us to quantitatively analyse medical images, providing novel insights into cancer characteristics beyond conventional qualitative image evaluation. However, despite the growing interest and research efforts, the integration of radiomics and AI to EC management is still far from clinical practice and represents a possible perspective rather than an actual reality. This review focuses on the state of radiomics and AI in EC MRI, emphasizing risk stratification and prognostic factor prediction, aiming to illuminate potential advancements and address existing challenges in the field.

Published
2023
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