Federica Cicciarelli

ORCID: 0009-0009-7566-1798
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About
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Research Areas
  • Radiomics and Machine Learning in Medical Imaging
  • Breast Lesions and Carcinomas
  • MRI in cancer diagnosis
  • Radiology practices and education
  • Cancer Cells and Metastasis
  • Global Cancer Incidence and Screening
  • Metabolism, Diabetes, and Cancer
  • Advanced Breast Cancer Therapies
  • Artificial Intelligence in Healthcare and Education
  • Cancer Risks and Factors
  • Cancer Immunotherapy and Biomarkers
  • Digital Radiography and Breast Imaging
  • AI in cancer detection
  • Thyroid Cancer Diagnosis and Treatment

Sapienza University of Rome
2022-2024

Abstract Background To assess the reliability and comprehensibility of breast radiology reports simplified by artificial intelligence using large language model (LLM) ChatGPT-4o. Methods A radiologist with 20 years’ experience selected 21 anonymized reports, 7 mammography, ultrasound, magnetic resonance imaging (MRI), categorized according to reporting data system (BI-RADS). These underwent simplification prompting ChatGPT-4o “Explain this medical report a patient simple language”. Five...

10.1186/s41747-024-00526-1 article EN cc-by European Radiology Experimental 2024-10-30

The aim of this prospective study was to compare the diagnostic performance contrast-enhanced mammography (CEM) versus digital (DM) combined with breast ultrasound (BUS) in women dense breasts. Between March 2021 and February 2022, patients eligible for CEM composition category ACR BI-RADS c-d at DM an abnormal finding (BI-RADS 3-4-5) and/or BUS were considered. During CEM, a nonionic iodinated contrast agent (Iohexol 350 mg I/mL, 1.5 mL/kg) power-injected intravenously. Images evaluated...

10.3390/diagnostics13152520 article EN cc-by Diagnostics 2023-07-28

Background Ductal carcinoma in situ (DCIS) is often reclassified as invasive cancer the final pathology report of surgical specimen. It significant clinical relevance to acknowledge possibility underestimating disease when utilizing preoperative biopsies for a DCIS diagnosis. In cases where such histologic upgrades occur, it imperative consider them planning process, including potential inclusion sentinel lymph node biopsy due risk axillary metastasis. Purpose To assess capability breast...

10.1177/02841851231225807 article EN Acta Radiologica 2024-01-09

To investigate the association between body composition parameters, sarcopenia, obesity and prognosis in patients with metastatic ER+/HER2- breast cancer under therapy cyclin-dependent kinase (CDK) 4/6 inhibitors.92 biopsy-proven cancer, treated CDK inhibitors 2018 2021 at our center, were included this retrospective analysis. Visceral Adipose Tissue (VAT), Subcutaneous (SAT) Skeletal Muscle Index (SMI) measured before starting (Palbociclib, Abemaciclib or Ribociclib). Measurements performed...

10.3389/fonc.2022.987012 article EN cc-by Frontiers in Oncology 2022-09-23

The aim of this study was to compare the characteristics breast microcalcification on digital mammography (DM) with histological and molecular subtypes cancer identify predictive value DM dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in assessing microcalcifications for radiologic–pathologic correlation. We relied our prospectively maintained database suspicious DM, from which data were retrospectively collected between January 2020 April 2023. enrolled 158 patients, all...

10.3390/diagnostics14111063 article EN cc-by Diagnostics 2024-05-21
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