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Cancer care pathways across seven countries in Europe: What are the current obstacles? And how can artificial intelligence help?
Hesso, Iman; Kayyali, Reem; Zacharias, Lithin; Charalambous, Andreas; Lavdaniti, Maria; Stalika, Evangelia; Ajami, Tarek; Acampa, Wanda; Boban, Jasmina; Gebara, Shereen Nabhani.
  • Hesso I; School of Life Sciences, Pharmacy and Chemistry, Kingston University London, Kingston upon Thames, United Kingdom.
  • Kayyali R; School of Life Sciences, Pharmacy and Chemistry, Kingston University London, Kingston upon Thames, United Kingdom.
  • Zacharias L; School of Life Sciences, Pharmacy and Chemistry, Kingston University London, Kingston upon Thames, United Kingdom.
  • Charalambous A; Cyprus University of Technology, Limassol, Cyprus.
  • Lavdaniti M; International Hellenic University, Thessaloniki, Greece.
  • Stalika E; International Hellenic University, Thessaloniki, Greece; Aristotle University of Thessaloniki, Thessaloniki, Greece.
  • Ajami T; Urology Department, Hospital Clinic de Barcelona, Spain.
  • Acampa W; Department of Advanced Biomedical Science, University of Naples Federico II, Naples, Italy.
  • Boban J; Department of Radiology, Faculty of Medicine, University of Novi Sad, Hajduk Veljkova 3, 21000 Novi Sad, Serbia; Diagnostic Imaging Center, Oncology Institute of Vojvodine, Put dr Goldmana 4, 21204 Sremska Kamenica, Serbia.
  • Gebara SN; School of Life Sciences, Pharmacy and Chemistry, Kingston University London, Kingston upon Thames, United Kingdom. Electronic address: S.Nabhani@kingston.ac.uk.
J Cancer Policy ; 39: 100457, 2024 Mar.
Article en En | MEDLINE | ID: mdl-38008356
ABSTRACT

BACKGROUND:

Cancer poses significant challenges for healthcare professionals across the disease pathway including cancer imaging. This study constitutes part of the user requirement definition of INCISIVE EU project. The project has been designed to explore the full potential of artificial intelligence (AI)-based technologies in cancer imaging to streamline diagnosis and management. The study aimed to map cancer care pathways (breast, prostate, colorectal and lung cancers) across INCISIVE partner countries, and identify bottle necks within these pathways.

METHODS:

Email interviews were conducted with ten oncology specialised healthcare professionals representing INCISIVE partner countries Greece, Cyprus, Spain, Italy, Finland, the United Kingdom (UK) and Serbia. A purposive sampling strategy was employed for recruitment and data was collected between December 2020 and April 2021. Data was entered into Microsoft Excel spreadsheet to allow content examination and comparative analysis.

RESULTS:

The analysed pathways all shared a common characteristic inequalities in relation to delays in cancer diagnosis and treatment. All the studied countries, except the UK, lacked official national data about diagnostic and therapeutic delays. Furthermore, a considerable variation was noted regarding the availability of imaging and diagnostic services across the seven countries. Several concerns were also noted for inefficiencies/inequalities with regards to national screening for the four investigated cancer types.

CONCLUSIONS:

Delays in cancer diagnosis and treatment are an ongoing challenge and a source for inequalities. It is important to have systematic reporting of diagnostic and therapeutic delays in all countries to allow the proper estimation of its magnitude and support needed to address it. Our findings also support the orientation of the current policies towards early detection and wide scale adoption and implementation of cancer screening, through research, innovation, and technology. Technologies involving AI can have a great potential to revolutionise cancer care delivery. POLICY

SUMMARY:

This study highlights the widespread delay in cancer diagnosis across Europe and supports the need for, systematic reporting of delays, improved availability of imaging services, and optimised national screening programs. The goal is to enhance cancer care delivery, encourage early detection, and implement research, innovation, and AI-based technologies for improved cancer imaging.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Neoplasias Pulmonares Límite: Humans / Male País como asunto: Europa Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Neoplasias Pulmonares Límite: Humans / Male País como asunto: Europa Idioma: En Año: 2024 Tipo del documento: Article