Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Christopher Kolios"'
Autor:
Aryan Safakish, Lakshmanan Sannachi, Daniel DiCenzo, Christopher Kolios, Ana Pejović-Milić, Gregory J. Czarnota
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
AimCancer treatments with radiation present a challenging physical toll for patients, which can be justified by the potential reduction in cancerous tissue with treatment. However, there remain patients for whom treatments do not yield desired outcom
Externí odkaz:
https://doaj.org/article/f951e0df855e45c89ce3015451e8f904
Autor:
Kashuf Fatima, Archya Dasgupta, Daniel DiCenzo, Christopher Kolios, Karina Quiaoit, Murtuza Saifuddin, Michael Sandhu, Divya Bhardwaj, Irene Karam, Ian Poon, Zain Husain, Lakshmanan Sannachi, Gregory J. Czarnota
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 28, Iss , Pp 62-70 (2021)
Purpose: This study investigated the use of quantitative ultrasound (QUS) obtained during radical radiotherapy (RT) as a radiomics biomarker for predicting recurrence in patients with node-positive head-neck squamous cell carcinoma (HNSCC). Methods:
Externí odkaz:
https://doaj.org/article/357266360b754703bfa97ab934334650
Autor:
William T Tran, Harini Suraweera, Karina Quiaoit, Daniel DiCenzo, Kashuf Fatima, Deok Jang, Divya Bhardwaj, Christopher Kolios, Irene Karam, Ian Poon, Lakshmanan Sannachi, Mehrdad Gangeh, Ali Sadeghi-Naini, Archya Dasgupta, Gregory J Czarnota
Publikováno v:
Future Science OA, Vol 6, Iss 9 (2020)
Aim: We investigated quantitative ultrasound (QUS) in patients with node-positive head and neck malignancies for monitoring responses to radical radiotherapy (RT). Materials & methods: QUS spectral and texture parameters were acquired from metastatic
Externí odkaz:
https://doaj.org/article/2f3ab59995674dfa96c1861703ef8432
Autor:
Archya Dasgupta, Sonal Gandhi, Christopher Kolios, G. Stanisz, Maureen E. Trudeau, Harini Suraweera, Michael C. Kolios, Nicole Look-Hong, Lakshmanan Sannachi, Frances C. Wright, Daniel DiCenzo, Belinda Curpen, Ali Sadeghi-Naini, Arjun Sahgal, Gregory J. Czarnota
Publikováno v:
Oncotarget
Background: Radiomics involving quantitative analysis of imaging has shown promises in oncology to serve as non-invasive biomarkers. We investigated whether pre-treatment T2-weighted magnetic resonance imaging (MRI) can be used to predict response to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb4196bde36ea90c58843fc4b1c3293c
https://doi.org/10.18632/oncotarget.28002
https://doi.org/10.18632/oncotarget.28002
Autor:
Z.A. Husain, Archya Dasgupta, Michael Sandhu, Irene Karam, Divya Bhardwaj, Lakshmanan Sannachi, Gregory J. Czarnota, Murtuza Saifuddin, Daniel DiCenzo, Kashuf Fatima, Karina Quiaoit, Ian Poon, Christopher Kolios
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 28, Iss, Pp 62-70 (2021)
Clinical and Translational Radiation Oncology
Clinical and Translational Radiation Oncology
Graphical abstract
Highlights • Quantitative ultrasound (QUS) delta-radiomics to predict recurrence. • Machine learning model can predict recurrence with accuracy >80%. • Classification performances improve when features are taken from wee
Highlights • Quantitative ultrasound (QUS) delta-radiomics to predict recurrence. • Machine learning model can predict recurrence with accuracy >80%. • Classification performances improve when features are taken from wee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a35864a8de7f10184d56912c4de51c55
https://doi.org/10.1016/j.ctro.2021.03.002
https://doi.org/10.1016/j.ctro.2021.03.002
Autor:
Ali Sadeghi-Naini, Deok Hyun Jang, Lakshmanan Sannachi, Divya Bhardwaj, Harini Suraweera, Gregory J. Czarnota, Karina Quiaoit, Ian Poon, William T. Tran, Daniel DiCenzo, Kashuf Fatima, Irene Karam, Christopher Kolios, Mehrdad J. Gangeh, Archya Dasgupta
Publikováno v:
Future Science OA
Aim: We investigated quantitative ultrasound (QUS) in patients with node-positive head and neck malignancies for monitoring responses to radical radiotherapy (RT). Materials & methods: QUS spectral and texture parameters were acquired from metastatic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67fed8c50db070d3321dfddcda862046
https://doi.org/10.2144/fsoa-2020-0073
https://doi.org/10.2144/fsoa-2020-0073