Treatment-related features improve machine learning prediction of prognosis in soft tissue sarcoma patients-Reference-Cited by-同舟云学术

Treatment-related features improve machine learning prediction of prognosis in soft tissue sarcoma patients

Published:2018-03-20 Issue:9 Volume:194 Page:824-834
ISSN:0179-7158
Container-title:Strahlentherapie und Onkologie
language:en
Short-container-title:Strahlenther Onkol

Author:

Peeken Jan C.,Goldberg Tatyana,Knie Christoph,Komboz Basil,Bernhofer Michael,Pasa Francesco,Kessel Kerstin A.,Tafti Pouya D.,Rost Burkhard,Nüsslin Fridtjof,Braun Andreas E.,Combs Stephanie E.

Funder

Deutsches Konsortium für Translationale Krebsforschung

Alexander von Humboldt Foundation

Allianz SE

Alexander von Humboldt-Stiftung

Publisher

Springer Science and Business Media LLC

Subject

Oncology,Radiology, Nuclear Medicine and imaging

Link

http://link.springer.com/article/10.1007/s00066-018-1294-2/fulltext.html

Reference32 articles.

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2. Zagars GK, Ballo MT, Pisters PWT et al (2003) Prognostic factors for patients with localized soft-tissue sarcoma treated with conservation surgery and radiation therapy: an analysis of 1225 patients. Cancer 97:2530–2543. https://doi.org/10.1002/cncr.11365

3. Pisters PW, Leung DH, Woodruff J, Shi W, Brennan MF (1996) Analysis of prognostic factors in 1,041 patients with localized soft tissue sarcomas of the extremities. J Clin Oncol 14:1679–1689. https://doi.org/10.1200/JCO.1996.14.5.1679

4. Ramanathan RC, A’Hern R, Fisher C, Thomas JM (1999) Modified staging system for extremity soft tissue sarcomas. Ann Surg Oncol 6:57–69

5. Maki RG, Moraco N, Antonescu CR et al (2013) Toward better soft tissue sarcoma staging: building on american joint committee on cancer staging systems versions 6 and 7. Ann Surg Oncol 20:3377–3383. https://doi.org/10.1245/s10434-013-3052-0

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