CT imaging markers to improve radiation toxicity prediction in prostate cancer radiotherapy by stacking regression algorithm-Reference-Cited by-同舟云学术

CT imaging markers to improve radiation toxicity prediction in prostate cancer radiotherapy by stacking regression algorithm

Published:2019-09-24 Issue:1 Volume:125 Page:87-97
ISSN:0033-8362
Container-title:La radiologia medica
language:en
Short-container-title:Radiol med

Author:

Mostafaei Shayan^ORCID,Abdollahi Hamid,Kazempour Dehkordi Shiva,Shiri Isaac,Razzaghdoust Abolfazl,Zoljalali Moghaddam Seyed Hamid,Saadipoor Afshin,Koosha Fereshteh,Cheraghi Susan,Mahdavi Seied Rabi

Funder

Shahid Beheshti University of Medical Sciences

Behnam Daheshpour Charity Organization

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s11547-019-01082-0.pdf

Reference33 articles.

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4. Thor M, Olsson C, Oh JH, Petersen SE, Alsadius D, Bentzen L, Pettersson N, Muren LP, Hoyer M, Steineck G, Deasy JO (2016) Urinary bladder dose-response relationships for patient-reported genitourinary morbidity domains following prostate cancer radiotherapy. Radiother Oncol 119(1):117–122. https://doi.org/10.1016/j.radonc.2016.01.013

5. Viswanathan AN, Yorke ED, Marks LB, Eifel PJ, Shipley WU (2010) Radiation dose-volume effects of the urinary bladder. Int J Radiat Oncol Biol Phys 76(3 Suppl):S116–S122. https://doi.org/10.1016/j.ijrobp.2009.02.090

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