Multi-centre radiomics for prediction of recurrence following radical radiotherapy for head and neck cancers: Consequences of feature selection, machine learning classifiers and batch-effect harmonization

Autor: Amal Joseph Varghese, Varsha Gouthamchand, Balu Krishna Sasidharan, Leonard Wee, Sharief K Sidhique, Julia Priyadarshini Rao, Andre Dekker, Frank Hoebers, Devadhas Devakumar, Aparna Irodi, Timothy Peace Balasingh, Henry Finlay Godson, T Joel, Manu Mathew, Rajesh Gunasingam Isiah, Simon Pradeep Pavamani, Hannah Mary T Thomas

Publikováno v: Physics and Imaging in Radiation Oncology, Vol 26, Iss , Pp 100450- (2023)

Background and purpose: Radiomics models trained with limited single institution data are often not reproducible and generalisable. We developed radiomics models that predict loco-regional recurrence within two years of radiotherapy with private and

Externí odkaz: https://doaj.org/article/ef1077a52f4b44a19c126e9ec3b09a0b

Young patient with generalized lymphangiomatosis: Differentiating the differential

Autor: Tharani Putta, Aparna Irodi, Balamugesh Thangakunam, Ashwin Oliver, Rajesh Gunasingam

Publikováno v: Indian Journal of Radiology and Imaging, Vol 26, Iss 03, Pp 411-415 (2016)

We present the case of a 19-year-old man who was extensively evaluated in multiple centres for long-standing cough, dyspnea, and hemoptysis without a definitive diagnosis. His chest radiograph at presentation showed mediastinal widening, bilateral pl

Externí odkaz: https://doaj.org/article/4784c24e7a894ffcbf1001503ab300c7

Reproducibility in Radiomics: A Comparison of Feature Extraction Methods and Two Independent Datasets

Autor: Evans, Hannah Mary T. Thomas, Helen Y. C. Wang, Amal Joseph Varghese, Ellen M. Donovan, Chris P. South, Helen Saxby, Andrew Nisbet, Vineet Prakash, Balu Krishna Sasidharan, Simon Pradeep Pavamani, Devakumar Devadhas, Manu Mathew, Rajesh Gunasingam Isiah, Philip M.

Publikováno v: Applied Sciences; Volume 13; Issue 12; Pages: 7291

Radiomics involves the extraction of information from medical images that are not visible to the human eye. There is evidence that these features can be used for treatment stratification and outcome prediction. However, there is much discussion about

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::e4d00e4de61cc6e0790e0d59b6a1df1c

Reproducibility in Radiomics: A Comparison of Feature Extraction Methods and Two Independent Datasets.

Autor: Thomas HMT; Department of Radiation Oncology, Christian Medical College Vellore, Vellore 632004, Tamil Nadu, India., Wang HYC; Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, UK.; Department of Medical Physics, Royal Surrey NHS Foundation Trust, Guildford GU2 7XX, UK., Varghese AJ; Department of Radiation Oncology, Christian Medical College Vellore, Vellore 632004, Tamil Nadu, India., Donovan EM; Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, UK., South CP; Department of Medical Physics, Royal Surrey NHS Foundation Trust, Guildford GU2 7XX, UK., Saxby H; St Luke's Cancer Centre, Royal Surrey NHS Foundation Trust, Guildford GU2 7XX, UK., Nisbet A; Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK., Prakash V; St Luke's Cancer Centre, Royal Surrey NHS Foundation Trust, Guildford GU2 7XX, UK., Sasidharan BK; Department of Radiation Oncology, Christian Medical College Vellore, Vellore 632004, Tamil Nadu, India., Pavamani SP; Department of Radiation Oncology, Christian Medical College Vellore, Vellore 632004, Tamil Nadu, India., Devadhas D; Department of Nuclear Medicine, Christian Medical College Vellore, Vellore 632004, Tamil Nadu, India., Mathew M; Department of Radiation Oncology, Christian Medical College Vellore, Vellore 632004, Tamil Nadu, India., Isiah RG; Department of Radiation Oncology, Christian Medical College Vellore, Vellore 632004, Tamil Nadu, India., Evans PM; Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, UK.

Publikováno v: Applied sciences (Basel, Switzerland) [Appl Sci (Basel)] 2024 Feb 20; Vol. 166 (1).