Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Paula Poikonen"'
Autor:
Paula Poikonen-Saksela, Evangelos Karademas, Leena Vehmanen, Meri Utriainen, Haridimos Kondylakis, Konstadina Kourou, Georgios C. Manikis, Eleni Kolokotroni, Panagiotis Argyropaidas, Berta Sousa, Ruth Pat Horenczyk, Ketti Mazzocco, Johanna Mattson
Publikováno v:
The Breast Journal, Vol 2024 (2024)
Background. Despite excellent prognosis of early breast cancer, the patients face problems related to decreased quality of life and mental health. There is a need for easily available interventions targeting modifiable factors related to these proble
Externí odkaz:
https://doaj.org/article/420d231460c040408477e5898700800c
Autor:
Konstantina Kourou, Georgios Manikis, Eugenia Mylona, Paula Poikonen-Saksela, Ketti Mazzocco, Ruth Pat-Horenczyk, Berta Sousa, Albino J. Oliveira-Maia, Johanna Mattson, Ilan Roziner, Greta Pettini, Haridimos Kondylakis, Kostas Marias, Mikko Nuutinen, Evangelos Karademas, Panagiotis Simos, Dimitrios I. Fotiadis
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Identifying individual patient characteristics that contribute to long-term mental health deterioration following diagnosis of breast cancer (BC) is critical in clinical practice. The present study employed a supervised machine learning pipe
Externí odkaz:
https://doaj.org/article/ddd695d1a3c9476eb3eb09ac3e014396
Autor:
Georgios C Manikis, Nicholas J Simos, Konstantina Kourou, Haridimos Kondylakis, Paula Poikonen-Saksela, Ketti Mazzocco, Ruth Pat-Horenczyk, Berta Sousa, Albino J Oliveira-Maia, Johanna Mattson, Ilan Roziner, Chiara Marzorati, Kostas Marias, Mikko Nuutinen, Evangelos Karademas, Dimitrios Fotiadis
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e43838 (2023)
BackgroundHealth professionals are often faced with the need to identify women at risk of manifesting poor psychological resilience following the diagnosis and treatment of breast cancer. Machine learning algorithms are increasingly used to support c
Externí odkaz:
https://doaj.org/article/021ace5958554eb6948492eaeea133b6
Autor:
Paula Poikonen-Saksela, Eleni Kolokotroni, Leena Vehmanen, Johanna Mattson, Georgios Stamatakos, Riikka Huovinen, Pirkko-Liisa Kellokumpu-Lehtinen, Carl Blomqvist, Tiina Saarto
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract We aimed to (a) investigate the interplay between depression, symptoms and level of functioning, and (b) understand the paths through which they influence health related quality of life (QOL) during the first year of rehabilitation period of
Externí odkaz:
https://doaj.org/article/fc2acd8738a84d89b82512119c8707f4
Autor:
Greta Pettini, Virginia Sanchini, Ruth Pat-Horenczyk, Berta Sousa, Marianna Masiero, Chiara Marzorati, Viviana Enrica Galimberti, Elisabetta Munzone, Johanna Mattson, Leena Vehmanen, Meri Utriainen, Ilan Roziner, Raquel Lemos, Diana Frasquilho, Fatima Cardoso, Albino J Oliveira-Maia, Eleni Kolokotroni, Georgios Stamatakos, Riikka-Leena Leskelä, Ira Haavisto, Juha Salonen, Robert Richter, Evangelos Karademas, Paula Poikonen-Saksela, Ketti Mazzocco
Publikováno v:
JMIR Research Protocols, Vol 11, Iss 10, p e34564 (2022)
BackgroundDespite the continued progress of medicine, dealing with breast cancer is becoming a major socioeconomic challenge, particularly due to its increasing incidence. The ability to better manage and adapt to the entire care process depends not
Externí odkaz:
https://doaj.org/article/a820d255c2e9460087a60b8b864d2bbe
Autor:
Leena Vehmanen, Johanna Mattson, Evangelos Karademas, Albino J. Oliveira-Maia, Berta Sousa, Ruth Pat-Horenczyk, Ketti Mazzocco, Panagiotis Simos, Fátima Cardoso, Greta Pettini, Chiara Marzorati, Eleni Kolokotroni, Georgios Stamatakos, Diana Frasquilho, Paula Poikonen-Saksela
Publikováno v:
The Breast Journal, Vol 2022 (2022)
Background. Identifying and understanding modifiable factors for the well-being of cancer patients is critical in survivorship research. We studied variables associated with the exercise habits of breast cancer patients and investigated if the achiev
Externí odkaz:
https://doaj.org/article/5a11453fc9624c10b715a2190acb5297
Autor:
Sanna Hallamies, Liisa M. Pelttari, Paula Poikonen-Saksela, Antti Jekunen, Arja Jukkola-Vuorinen, Päivi Auvinen, Carl Blomqvist, Kristiina Aittomäki, Johanna Mattson, Heli Nevanlinna
Publikováno v:
BMC Cancer, Vol 17, Iss 1, Pp 1-5 (2017)
Abstract Background Several susceptibility genes have been established for female breast cancer, of which mutations in BRCA1 and especially in BRCA2 are also known risk factors for male breast cancer (MBC). The role of other breast cancer genes in MB
Externí odkaz:
https://doaj.org/article/dfa31c08588b4e7ab0ec1f86c91ffcef
Autor:
Johanna Mattson, Maria Peltola, Paula Poikonen-Saksela, Terhi Hermanson, Jenny Their, Niilo Färkkilä, Risto Roine, Carl Blomqvist
Publikováno v:
Acta Oncologica. :1-9
After primary treatment, patients with early breast cancer (EBC) are followed-up for at least 5 years. At the Helsinki University Hospital (HUS) surveillance includes appointments at 1, 3 and 5 years, and between pre-planned visits a phone call servi
Autor:
Mikko Nuutinen, Anna-Maria Hiltunen, Sonja Korhonen, Ira Haavisto, Paula Poikonen-Saksela, Johanna Mattson, Georgios Manikis, Haridimos Kondylakis, Panagiotis Simos, Ketti Mazzocco, Ruth Pat-Horenczyk, Berta Sousa, Fatima Cardoso, Isabel Manica, Ian Kudel, Riikka-Leena Leskelä
Publikováno v:
Health and Technology. 13:229-244
Autor:
Heikki Joensuu, Pirkko-Liisa Kellokumpu-Lehtinen, Riikka Huovinen, Arja Jukkola, Minna Tanner, Johan Ahlgren, Päivi Auvinen, Outi Lahdenperä, Kenneth Villman, Paul Nyandoto, Greger Nilsson, Paula Poikonen-Saksela, Vesa Kataja, Petri Bono, Jouni Junnila, Henrik Lindman
Publikováno v:
Journal of clinical oncology : official journal of the American Society of Clinical Oncology. 40(10)
PURPOSE Few data are available regarding the influence of adjuvant capecitabine on long-term survival of patients with early breast cancer. METHODS The Finland Capecitabine Trial (FinXX) is a randomized, open-label, multicenter trial that evaluates i