Zobrazeno 1 - 10
of 51
pro vyhledávání: '"tyrer-cuzick model"'
Autor:
Jarm Katja, Zadnik Vesna, Birk Mojca, Vrhovec Milos, Hertl Kristijana, Klanecek Zan, Studen Andrej, Sval Cveto, Krajc Mateja
Publikováno v:
Radiology and Oncology, Vol 57, Iss 3, Pp 337-347 (2023)
The evidence shows that risk-based strategy could be implemented to avoid unnecessary harm in mammography screening for breast cancer (BC) using age-only criterium. Our study aimed at identifying the uptake of Slovenian women to the BC risk assessmen
Externí odkaz:
https://doaj.org/article/601c749b7b214f6d85344439674350d7
Autor:
Krajc Mateja, Gareth Evans D, Blatnik Ana, Lokar Katarina, Žagar Tina, Tomšič Sonja, Žgajnar Janez, Zadnik Vesna
Publikováno v:
Slovenian Journal of Public Health, Vol 59, Iss 4, Pp 211-218 (2020)
One of the most consistent models for estimating personalized breast cancer (BC) risk is the Tyrer-Cuzick algorithm that is incorporated into the International Breast Cancer Intervention Study (IBIS) software. Our main objective was to provide criter
Externí odkaz:
https://doaj.org/article/d409756bf2dc44459e0a187f6a119c66
Autor:
Laura Cortesi, Bruna Baldassarri, Stefano Ferretti, Elisabetta Razzaboni, Mariangela Bella, Lauro Bucchi, Debora Canuti, Pierandrea De Iaco, Giorgio De Santis, Fabio Falcini, Vania Galli, Lea Godino, Maurizio Leoni, Anna Myriam Perrone, Marco Pignatti, Gianni Saguatti, Donatella Santini, Priscilla Sassoli de'Bianchi, Federica Sebastiani, Mario Taffurelli, Giovanni Tazzioli, Daniela Turchetti, Claudio Zamagni, Carlo Naldoni
Publikováno v:
Cancer Medicine, Vol 9, Iss 7, Pp 2579-2589 (2020)
Abstract Background Up to 10% of individuals with breast cancer (BC) belong to families with hereditary syndromes. The aim of this study was to develop an instrument to identify individuals/families at high‐hereditary risk for BC and offer dedicate
Externí odkaz:
https://doaj.org/article/af5aedd27bb04bc5a29867b466c7c92f
Autor:
Kaori Togashi, Akira Yamauchi, Hironori Kato, Nobuhiko Shinkura, Kenichi Yoshida, Kosuke Kawaguchi, Takahiro Yamada, Ryuji Okamura, Masahiro Sugimoto, Eiji Suzuki, Hironori Haga, Masae Torii, Hirofumi Suwa, Norimichi Kan, Sachiko Takahara, Yoshiaki Matsumoto, Masahiro Kawashima, Tsuyoshi Tachibana, Masakazu Toi, Yukiko Inagaki-Kawata, Hiroshi Yoshibayashi, Takashi Inamoto, Masako Kataoka, Shingo Sakata, Nobuko Kawaguchi-Sakita, Fumiaki Yotsumoto, Kazuhiko Yamagami, Yuki Kataoka, Mitsuru Tanaka, Shinji Kosugi, Masahiro Takada, Seishi Ogawa, Shigeru Tsuyuki, Tomomi Nishimura, Susumu Mashima, Noriko Senda, Yoshio Moriguchi
Publikováno v:
Cancer Science
Predicting pathogenic germline variants (PGVs) in breast cancer patients is important for selecting optimal therapeutics and implementing risk reduction strategies. However, PGV risk factors and the performance of prediction methods in the Japanese p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21bafd3a7488cd234e791c5630dc4892
http://hdl.handle.net/2433/277559
http://hdl.handle.net/2433/277559
Autor:
Susanne Wagner, Alexander Gutin, Allison W. Kurian, Ryan Bernhisel, Stephanie Meek, Esther M. John, Thomas P. Slavin, JoAnn E. Manson, Aladdin H. Shadyab, Jennifer L. Caswell-Jin, Thomas E. Rohan, Braden Probst, Jerry S. Lanchbury, Dorothy S. Lane, Elisha Hughes, Timothy Simmons, Marcia L. Stefanick, Rowan T. Chlebowski
Publikováno v:
Cancer. 127:3742-3750
BACKGROUND The IBIS/Tyrer-Cuzick model is used clinically to guide breast cancer screening and prevention, but was developed primarily in non-Hispanic White women. Little is known about its long-term performance in a racially/ethnically diverse popul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8207acc83d2a0684b45cd9a82818d544
https://doi.org/10.1002/cncr.33767
https://doi.org/10.1002/cncr.33767
Autor:
Senda, Noriko
甲第24089号
医博第4865号
新制||医||1059(附属図書館)
学位規則第4条第1項該当
Doctor of Medical Science
Kyoto University
DFAM
医博第4865号
新制||医||1059(附属図書館)
学位規則第4条第1項該当
Doctor of Medical Science
Kyoto University
DFAM
Externí odkaz:
http://hdl.handle.net/2433/275554
Autor:
Geraldine Lebègue, Catherine Uzan, Joseph Gligorov, M. Nikpayam, Patrick R. Benusiglio, Diaretou Ndiaye-Guèye, Henri Azaïs, Geoffroy Canlorbe, Brigitte Séroussi, Serge Uzan, C. Gonthier, J Belghiti, Eva Oueld es cheikh
Publikováno v:
Bulletin du Cancer
Bulletin du Cancer, John Libbey Eurotext, 2020, 107 (10), pp.972-981. ⟨10.1016/j.bulcan.2020.08.003⟩
Bulletin du Cancer, John Libbey Eurotext, 2020, 107 (10), pp.972-981. ⟨10.1016/j.bulcan.2020.08.003⟩
International audience; IntroductionIn France, participation in the organized breast cancer screening program remains insufficient. A personalized approach adapted to the risk factors for breast cancer (RBC) should make screening more efficient. A RB
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97ba3dd4706e341c7a9a3498343209bc
https://doi.org/10.1016/j.bulcan.2020.08.003
https://doi.org/10.1016/j.bulcan.2020.08.003
Akademický článek
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Autor:
Sonja Tomšič, Mateja Krajc, Katarina Lokar, Tina Žagar, Vesna Zadnik, D. Gareth Evans, Janez Žgajnar, Ana Blatnik
Publikováno v:
Slovenian Journal of Public Health
Slovenian Journal of Public Health, Vol 59, Iss 4, Pp 211-218 (2020)
Slovenian Journal of Public Health, Vol 59, Iss 4, Pp 211-218 (2020)
One of the most consistent models for estimating personalized breast cancer (BC) risk is the Tyrer-Cuzick algorithm that is incorporated into the International Breast Cancer Intervention Study (IBIS) software. Our main objective was to provide criter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7242fd99066f4123ca14eaae449736f2
https://pubmed.ncbi.nlm.nih.gov/33133277
https://pubmed.ncbi.nlm.nih.gov/33133277