Mean parotid dose prediction model using machine learning regression method for intensity-modulated radiotherapy in head and neck cancer

Author:

Ranjith CP,puzhakkal Niyas,Arunkrishnan MP,Vysakh R,Irfad MP,Vijayagopal KS,Jayashanker S

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Oncology,Radiological and Ultrasound Technology

Reference20 articles.

1. First results of a phase III multicenter randomized controlled trial of intensity-modulated (IMRT) versus conventional radiotherapy (RT) in head and neck cancer (PARSPORT: ISRCTN48243537; CRUK/03/005);Nutting;J. Clin. Oncol,2016

2. A prospective study of salivary function sparing in patients with head-and-neck cancers receiving intensity-modulated or three-dimensional radiation therapy: Initial results;Chao;Int. J. Radiat. Oncol. Biol. Phys.,2001

3. Dose, volume, and function relationships in parotid salivary glands following conformal and intensity-modulated irradiation of head and neck cancer;Eisbruch;Int. J. Radiat. Oncol. Biol. Phys.,1999

4. Radiotherapy dose-volume effects on salivary gland function;Deasy;Int. J. Radiat. Oncol. Biol. Phys.,2010

5. Simple tool for prediction of parotid gland sparing in intensity-modulated radiation therapy;Gensheimer;Med. Dosimet.,2015

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