Use of machine learning methods for prediction of acute toxicity in organs at risk following prostate radiotherapy-Reference-Cited by-同舟云学术

Use of machine learning methods for prediction of acute toxicity in organs at risk following prostate radiotherapy

Published:2011-05-20 Issue:6Part1 Volume:38 Page:2859-2867
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Pella Andrea,Cambria Raffaella,Riboldi Marco,Jereczek-Fossa Barbara Alicja,Fodor Cristiana,Zerini Dario,Torshabi Ahmad Esmaili,Cattani Federica,Garibaldi Cristina,Pedroli Guido,Baroni Guido,Orecchia Roberto

Publisher

Wiley

Subject

General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1118/1.3582947/fullpdf

Reference30 articles.

1. Cancer prevalence estimates in Italy from 1970 to 2010;De Angelis;Tumori,2007

2. Dose-volume effects for normal tissues in external radiotherapy: Pelvis;Fiorino;Radiother. Oncol.,2009

3. Rectal dose reduction using three-dimensional conformal radiotherapy for locally advanced prostate cancer: A combination of conformal dynamic-arc and five-static field technique;Sasaoka;Radiother. Oncol.,2009

4. A new formula for normal tissue complication probability) (NTCP) as a function of equivalent uniform dose (EUD);Luxton;Phys. Med. Biol.,2008

5. A TCP-NTCP estimation module using DVHs and known radiobiological models and parameter sets;Warkentin;J. Appl. Clin. Med. Phys.,2004

Cited by 56 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Utilization of machine learning methods for prediction of acute and late rectal toxicity due to curative prostate radiotherapy;Radiation Protection Dosimetry;2024-06-26

2. Embedding machine learning based toxicity models within radiotherapy treatment plan optimization;Physics in Medicine & Biology;2024-03-14

3. Artificial intelligence in the treatment of cancer: Changing patterns, constraints, and prospects;Health and Technology;2024-02-24

4. Computational precision therapeutics and drug repositioning;Comprehensive Precision Medicine;2024

5. Prediction of toxicity outcomes following radiotherapy using deep learning-based models: A systematic review;Cancer/Radiothérapie;2023-09