Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a Web-based prognostic tool-Reference-Cited by-同舟云学术

Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a Web-based prognostic tool

Published:2019-08-17 Issue:4 Volume:475 Page:489-497
ISSN:0945-6317
Container-title:Virchows Archiv
language:en
Short-container-title:Virchows Arch

Author:

Alabi Rasheed Omobolaji,Elmusrati Mohammed,Sawazaki-Calone Iris,Kowalski Luiz Paulo,Haglund Caj,Coletta Ricardo D.,Mäkitie Antti A.,Salo Tuula,Leivo Ilmo,Almangush Alhadi

Funder

Suomen Hammaslääkäriliitto

Rauha Ahokkaan Säätiö

Turun Yliopistollinen Keskussairaala

Helsinki University Hospital Research Fund

Finnish Cancer Society

Finska Läkaresällskapet

Maritza and Reino Salonen Foundation

UOPECCAN Center of Study and Research

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology,General Medicine,Pathology and Forensic Medicine

Link

http://link.springer.com/content/pdf/10.1007/s00428-019-02642-5.pdf

Reference34 articles.

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3. Bello IO, Soini Y, Salo T (2010) Prognostic evaluation of oral tongue cancer: means, markers and perspectives (II). Oral Oncol 46:636–643. https://doi.org/10.1016/j.oraloncology.2010.06.008

4. Almangush A, Heikkinen I, Makitie AA, Coletta RD, Laara E, Leivo I, Salo T (2017) Prognostic biomarkers for oral tongue squamous cell carcinoma: a systematic review and meta-analysis. Br J Cancer 117:856–866. https://doi.org/10.1038/bjc.2017.244

5. Yamakawa N, Kirita T, Umeda M, Yanamoto S, Ota Y, Otsuru M, Okura M, Kurita H, Yamada SI, Hasegawa T, Aikawa T, Komori T, Ueda M (2018) Japan Oral oncology G (2019) Tumor budding and adjacent tissue at the invasive front correlate with delayed neck metastasis in clinical early-stage tongue squamous cell carcinoma. J Surg Oncol 119:370–378. https://doi.org/10.1002/jso.25334

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