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Comunicazioni orali e poster del Registro Tumori Veneto.
Predizione dei recettori biologici dai referti di patologia mammaria mediante Text Mining e Machine Learning
Andreotti Alessandra, Guzzinati Stefano, Baracco Maddalena, Baracco Susanna, Bovo Emanuela, Carpin Eva, Dal Cin Antonella, Fiore Anna Rita, Greco Alessandra, Memo Laura, Monetti Daniele, Rizzato Silvia, Stocco Carmen Fiorella, Stocco Jessica Elisabeth, Zamberlan Sara, Sbaraglia Marta, Zorzi Manuel Congresso Intermedio SISMEC 2024 Modena, 19-20 settembre 2024 Abstract IntroduzioneIl cancro della mammella è il tumore femminile più diffuso al mondo, con oltre 2,3 milioni di nuovi casi diagnosticati nel 2022. In Italia, nel 2022, è stato diagnosticato un tumore alla mammella a circa 57.000 donne...
Biological receptor prediction from breast pathology reports using Text Mining and Machine Learning methodologies
Andreotti Alessandra, Baracco Maddalena, Carpin Eva, Dal Cin Antonella, Fiore Anna Rita, Guzzinati Stefano, Memo Laura, Zorzi Manuel. 48th Annual Meeting of the Group for Cancer Epidemiology and Registration in Latin Language Countries (GRELL). Lausanne, 15 - 17 May 2024 Abstract Background In pathology reports, information on biological markers is often contained in a free text field related to the pathological diagnosis of cancer. Aim To train models capable of extracting and predicting the values of biological markers of female breast cancer contained in pathology reports, through the...
Health care costs of cancer patients at the end of life: estimates from the EPICOST-2 study
Silvia Francisci, Alessandra Andreotti, Alberto Gagliani, Silvia Gori, Stefano Guzzinati, Sandra Mallone, Daniela Pierannunzio, Andrea Tavilla 48th Annual Meeting of the Group for Cancer Epidemiology and Registration in Latin Language Countries (GRELL). Lausanne, 15 - 17 May 2024 Abstract Background and aim Cancer treatment represents a significant burden on societies and healthcare systems. Costs of cancer care are particularly concentrated immediately after diagnosis and before death due to cancer for worst prognosis patients. The objective here is to estimate the cost profiles relating...
Predizione dei recettori biologici dai referti di patologia mammaria mediante Text Mining e Machine Learning
Alessandra Andreotti, Maddalena Baracco, Susanna Baracco, Eva Carpin, Antonella Dal Cin, Anna Rita Fiore, Stefano Guzzinati, Laura Memo, Carmen Fiorella Stocco, Manuel Zorzi XXIV RIUNIONE SCIENTIFICA AIRTUM Caserta, 8-10 Maggio 2024 Abstract OBIETTIVI Nei referti di Anatomia Patologica (AP), le informazioni sui marcatori biologici sono contenute nel campo testuale relativo alla diagnosi. Abbiamo costruito dei modelli di Text Mining (TM) e di Machine Learning (ML) per estrarre e prevedere i valori dei marcatori biologici del tumore alla mammella femminile contenuti nei referti di AP. METODI...
Incidenza del tumore alla mammella in Veneto: differenze per area geografica di provenienza
Eliana Ferroni, Stefano Guzzinati, Alessandra Andreotti, Emanuela Bovo, Alessandra Greco, Jessica Elisabeth Stocco, Carmen Stocco, Susanna Baracco, Sara Zamberlan, Manuel Zorzi XXIV RIUNIONE SCIENTIFICA AIRTUM Caserta, 8-10 maggio 2024 Abstract OBIETTIVI Obiettivo dello studio era di valutare le differenze di incidenza del tumore della mammella a seconda dell’area geografica di provenienza della popolazione femminile residente in Veneto. METODI Dal Registro Tumori del Veneto sono stati selezionati tutti i casi incidenti di tumore alla mammella nel periodo 2015-2019. Le donne sono state...
Projecting cancer prevalence by phase of care: a methodological approach
Guzzinati S, Tursini F, Dal Maso L, Gigli A , Francisci S. 47th Annual Meeting of the Group for Cancer Epidemiology and Registration in Latin Language Countries (GRELL). Mont Saint-Michel, Normandy, 31 May - 2 June 2023 Abstract INTRODUCTION: In most developed countries, the number of cancer survivors is expected to increase over the coming decades, because of raising incidence and survival and population ageing. These people are heterogeneous in terms of health service requirements; therefore, it is worth to provide updated measures of prevalence for groups of patients based on the level...
New childhood cancer survival estimates in Italy
Crocetti E, Ravaioli A, Bucchi L, Guzzinati S, Casella C, Puppo A, Toffolutti F, Zamagni F, Dal Maso L, Italian Cancer Registries WG 46th Annual Meeting of the Group for Cancer Epidemiology and Registration in Latin Language Countries (GRELL). Pamplona, 18-20 may 2022 Abstract Objective. The study of childhood cancer, including survival, has been a commitment of Italian population-based cancer registries since decades, and a couple of reports have been published. The present study updates the last available estimates with more recent data focusing on cancer survival. Methods. Data from...
Indicators of standard care for skin melanoma, computed by combining Cancer Registry information and administrative health data in Veneto. First results from the iPAAC 7.2 Pilot Study
Lillini R, Rugge M, Guzzinati S, Bonfarnuzzo S, Magri MC, Minicozzi P, Sant M. GRELL Ascension Meeting Luxembourg, 12-14 may 2021 Abstract Background and Aims:The pilot study 7.2 of iPAAC Joint Action evaluates the feasibility of linking Cancer Registry individual patient’s data with current administrative and health data in order to describe the complete pathway of cancer patients from diagnosis to rehabilitation or terminal care. Here we present the first results of the pilot, specifically the main indicators of standard care for cutaneous melanoma in the Veneto Cancer Registry (CR)....