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• PO:32:185 | Deep-learning analysis of high-resolution computed tomography images predicts progression and mortality in systemic sclerosis related interstitial lung disease Valentina Boni¹, Rosa D'Abronzo², Piergiacomo Cerasuolo¹, Lucio Calandriello², Giuseppe Cicchetti², Gerlando Natalello¹, Bruno Iovene⁵, Francesco Varone⁵, Giacomo Sgalla⁵, Luca Richeldi⁵, Anna Rita Larici^2|4, Maria Antonietta D'Agostino^1|3, Silvia Laura Bosello^1|3, Enrico De Lorenzis¹. | ¹Division of Rheumatology and Clinical Immunology Catholic Univeristy of the Sacred Heart, Rome, Italy; ²Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, Diagnostic Imaging Area, Catholic University, Rome, Italy; ³Department of Geriatric and Orthopaedic Sciences, Catholic Univeristy of the Sacred Heart, Rome, Italy; ⁴Department of Radiological and Hematological Sciences, Section of Radiology, Catholic Univeristy of the Sacred Heart, Rome, Italy; ⁵Division of Pulmonary Medicine, Catholic University of the Sacred Heart, Roma, Italy.

  Società Italiana di Reumatologia

  25-11-2025

  https://doi.org/10.4081/reumatismo.2025.2079

  136

• CO:12:2 | Circulating cell signatures of disease activity in ANCA-associated vasculitis using automated hematologic profiling analysis with Sysmex XN-9000®: preliminary results from a monocentric cohort Federica Davanzo¹, Luca Iorio¹, Veronica Davanzo², Michela Pelloso², Eleonora Fiorin¹, Roberta Prevedello¹, Francesca Tosato², Martina Montagnana³, Roberto Padoan¹, Andrea Doria¹ | ¹Rheumatology Unit, Department of Medicine DIMED, University of Padua Padova, Italy; ²Laboratory Medicine Unit, Biomedical Sciences Department-DSB, University of Padua Padova, Italy; ³Department of Medicine DIMED, University of Padua Padova, Italy

  Società Italiana di Reumatologia

  18-03-2026

  https://doi.org/10.4081/reumatismo.2025.2280

  15