Use of Machine Learning to Differentiate Residual Tumor from Radiation Changes in Head and Neck Cancer Patients Treated with Definitive Chemoradiotherapy

Toms Vengaloor Thomas; Edward Florez; Seth Lirette; Ali Fatemi-Ardekani

doi:10.1016/j.ijrobp.2020.02.621

Use of Machine Learning to Differentiate Residual Tumor from Radiation Changes in Head and Neck Cancer Patients Treated with Definitive Chemoradiotherapy

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/j.ijrobp.2020.02.621 ◽

2020 ◽

Vol 108 (2) ◽

pp. E63-E64

Author(s):

Toms Vengaloor Thomas ◽

Edward Florez ◽

Seth Lirette ◽

Ali Fatemi-Ardekani

Keyword(s):

Machine Learning ◽

Head And Neck Cancer ◽

Head And Neck ◽

Cancer Patients ◽

Neck Cancer ◽

Residual Tumor ◽

Definitive Chemoradiotherapy

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61: Conventional and Machine Learning Analyses to Differentiate Systematic Versus Random Inter-Fractional Changes in a Cohort of 250 Head and Neck Cancer Patients

Radiotherapy and Oncology ◽

10.1016/s0167-8140(21)08894-0 ◽

2021 ◽

Vol 163 ◽

pp. S75

Author(s):

Nabhya Harjai ◽

Sarah Weppler ◽

Craig A. Beers ◽

Lukas V. Dyke ◽

Colleen Schinkel ◽

...

Keyword(s):

Machine Learning ◽

Head And Neck Cancer ◽

Head And Neck ◽

Cancer Patients ◽

Neck Cancer

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Effect of machine learning re-sampling techniques for imbalanced datasets in 18F-FDG PET-based radiomics model on prognostication performance in cohorts of head and neck cancer patients

European Journal of Nuclear Medicine and Molecular Imaging ◽

10.1007/s00259-020-04756-4 ◽

2020 ◽

Vol 47 (12) ◽

pp. 2826-2835 ◽

Cited By ~ 3

Author(s):

Chenyi Xie ◽

Richard Du ◽

Joshua WK Ho ◽

Herbert H Pang ◽

Keith WH Chiu ◽

...

Keyword(s):

Machine Learning ◽

Head And Neck Cancer ◽

Head And Neck ◽

Cancer Patients ◽

Neck Cancer ◽

Fdg Pet ◽

Sampling Techniques ◽

Imbalanced Datasets ◽

18F Fdg

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Outcome prediction in head and neck cancer patients using machine learning methods

10.17077/etd.wr7nz268 ◽

2014 ◽

Author(s):

David John Dellsperger

Keyword(s):

Machine Learning ◽

Head And Neck Cancer ◽

Head And Neck ◽

Cancer Patients ◽

Neck Cancer ◽

Outcome Prediction ◽

Learning Methods ◽

Machine Learning Methods

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61: Conventional and Machine Learning Analyses to Differentiate Systematic Versus Random Inter-Fractional Changes in a Cohort of 250 Head and Neck Cancer Patients

Radiotherapy and Oncology ◽

10.1016/s0167-8140(20)30953-1 ◽

2020 ◽

Vol 150 ◽

pp. S29

Author(s):

Sarah Weppler ◽

Craig A. Beers ◽

Lukas V. Dyke ◽

Colleen Schinkel ◽

Wendy Smith ◽

...

Keyword(s):

Machine Learning ◽

Head And Neck Cancer ◽

Head And Neck ◽

Cancer Patients ◽

Neck Cancer

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Erratum to: Reddy JP, Lindsay WD, Berlind CG, Ahern CA, Holmes A, Smith BD, Phan J, Frank SJ, Gunn GB, Rosenthal DI, Morrison WH, Garden AS, Chronowski GM, Shah SJ, Mayo LL, and Fuller CD. Applying a Machine Learning Approach to Predict Acute Radiation Toxicities for Head and Neck Cancer Patients. Int J Radiat Oncol Biol Phys 2019;105(suppl 1):S69.

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/j.ijrobp.2019.10.015 ◽

2020 ◽

Vol 106 (1) ◽

pp. 223

Keyword(s):

Machine Learning ◽

Head And Neck Cancer ◽

Head And Neck ◽

Cancer Patients ◽

Neck Cancer ◽

Radiat Oncol Biol Phys ◽

Acute Radiation ◽

Learning Approach ◽

Machine Learning Approach

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The provision of enteral nutritional support during definitive chemoradiotherapy in head and neck cancer patients

Journal of Medical Radiation Sciences ◽

10.1002/jmrs.132 ◽

2015 ◽

Vol 62 (4) ◽

pp. 267-276 ◽

Cited By ~ 10

Author(s):

Sarah Bishop ◽

Warren Michael Reed

Keyword(s):

Head And Neck Cancer ◽

Head And Neck ◽

Cancer Patients ◽

Neck Cancer ◽

Nutritional Support ◽

Definitive Chemoradiotherapy

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P-92 GPS as a prognostic index and a predictor of toxicity in early or locally advanced head and neck cancer patients treated with radiotherapy or definitive chemoradiotherapy

Oral Oncology ◽

10.1016/s1368-8375(21)00379-1 ◽

2021 ◽

Vol 118 ◽

pp. 9

Author(s):

Simona Bui ◽

Elisabetta Pietri ◽

Matil de Corianò ◽

Isella Luca ◽

Giulia Mazzaschi ◽

...

Keyword(s):

Head And Neck Cancer ◽

Head And Neck ◽

Cancer Patients ◽

Neck Cancer ◽

Locally Advanced ◽

Prognostic Index ◽

Advanced Head ◽

Definitive Chemoradiotherapy

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Can Adjuvant Neck Dissection be Deferred in Locally Advanced Head and Neck Cancer Patients With Complete Response to Definitive Chemoradiotherapy?

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/j.ijrobp.2007.07.028 ◽

2007 ◽

Vol 69 (3) ◽

pp. S15 ◽

Cited By ~ 2

Author(s):

S. Yovino ◽

K. Settle ◽

R. Taylor ◽

J. Wolf ◽

Y. Kwok ◽

...

Keyword(s):

Head And Neck Cancer ◽

Head And Neck ◽

Neck Dissection ◽

Cancer Patients ◽

Neck Cancer ◽

Locally Advanced ◽

Complete Response ◽

Advanced Head ◽

Definitive Chemoradiotherapy

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Enteral tube feeding of head and neck cancer patients undergoing definitive chemoradiotherapy in the Nordic Countries: Survey of the Scandinavian Society for Head and Neck Oncology

European Archives of Oto-Rhino-Laryngology ◽

10.1007/s00405-020-06545-z ◽

2021 ◽

Author(s):

Taru Ilmarinen ◽

Lalle Hammarstedt-Nordenvall ◽

Leif Bäck ◽

Antti Mäkitie

Keyword(s):

Head And Neck Cancer ◽

Head And Neck ◽

Cancer Patients ◽

Neck Cancer ◽

Tube Feeding ◽

Nordic Countries ◽

Head And Neck Oncology ◽

Definitive Chemoradiotherapy ◽

Scandinavian Society ◽

Enteral Tube Feeding

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Machine Learning to Predict Toxicity in Head and Neck Cancer Patients Treated with Definitive Chemoradiation

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/j.ijrobp.2019.06.2182 ◽

2019 ◽

Vol 105 (1) ◽

pp. E139-E140 ◽

Cited By ~ 2

Author(s):

A.P. Wojcieszynski ◽

W. La Cava ◽

B.C. Baumann ◽

J.N. Lukens ◽

A. Fotouhi Ghiam ◽

...

Keyword(s):

Machine Learning ◽

Head And Neck Cancer ◽

Head And Neck ◽

Cancer Patients ◽

Neck Cancer ◽

Definitive Chemoradiation

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