Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Divya Bhardwaj"'
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:
Archya Dasgupta, Kashuf Fatima, Daniel DiCenzo, Divya Bhardwaj, Karina Quiaoit, Murtuza Saifuddin, Irene Karam, Ian Poon, Zain Husain, William T. Tran, Lakshmanan Sannachi, Gregory J. Czarnota
Publikováno v:
Cancer Medicine, Vol 10, Iss 8, Pp 2579-2589 (2021)
Abstract This prospective study was conducted to investigate the role of quantitative ultrasound (QUS) radiomics in predicting recurrence for patients with node‐positive head‐neck squamous cell carcinoma (HNSCC) treated with radical radiotherapy
Externí odkaz:
https://doaj.org/article/d7e61eef79f84b309badc9cac9a029c0
Autor:
Daniel DiCenzo, Karina Quiaoit, Kashuf Fatima, Divya Bhardwaj, Lakshmanan Sannachi, Mehrdad Gangeh, Ali Sadeghi‐Naini, Archya Dasgupta, Michael C. Kolios, Maureen Trudeau, Sonal Gandhi, Andrea Eisen, Frances Wright, Nicole Look Hong, Arjun Sahgal, Greg Stanisz, Christine Brezden, Robert Dinniwell, William T. Tran, Wei Yang, Belinda Curpen, Gregory J. Czarnota
Publikováno v:
Cancer Medicine, Vol 9, Iss 16, Pp 5798-5806 (2020)
Abstract Background This study was conducted in order to develop a model for predicting response to neoadjuvant chemotherapy (NAC) in patients with locally advanced breast cancer (LABC) using pretreatment quantitative ultrasound (QUS) radiomics. Meth
Externí odkaz:
https://doaj.org/article/459aa443dbf64da88da60748573933db
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:
Karina Quiaoit, Daniel DiCenzo, Kashuf Fatima, Divya Bhardwaj, Lakshmanan Sannachi, Mehrdad Gangeh, Ali Sadeghi-Naini, Archya Dasgupta, Michael C Kolios, Maureen Trudeau, Sonal Gandhi, Andrea Eisen, Frances Wright, Nicole Look-Hong, Arjun Sahgal, Greg Stanisz, Christine Brezden, Robert Dinniwell, William T Tran, Wei Yang, Belinda Curpen, Gregory J Czarnota
Publikováno v:
PLoS ONE, Vol 15, Iss 7, p e0236182 (2020)
BackgroundNeoadjuvant chemotherapy (NAC) is the standard of care for patients with locally advanced breast cancer (LABC). The study was conducted to investigate the utility of quantitative ultrasound (QUS) carried out during NAC to predict the final
Externí odkaz:
https://doaj.org/article/f5c08fb4aa824d1e8acbfbd38f6379bc
Autor:
DIVYA BHARDWAJ
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 13, Iss 1, Pp ZE01-ZE02 (2019)
Healthcare technologies have captured extensive digitised data in the form of electronic medical record. With the availability of this stored digitised data and advance computational power systems at low cost, there exists an opportunity to develop s
Externí odkaz:
https://doaj.org/article/36788118194d4540bac9f1cc91443a08
Autor:
Michael C. Kolios, Kashuf Fatima, Daniel DiCenzo, Greg J. Stanisz, Nicole J. Look Hong, Lakshmanan Sannachi, Divya Bhardwaj, Andrea Eisen, William T. Tran, Karina Quiaoit, Robert Dinniwell, Belinda Curpen, Frances C. Wright, Sonal Gandhi, Maureen E. Trudeau, Christine B. Brezden, Mehrdad J. Gangeh, Archya Dasgupta, Wei Yang, Gregory J. Czarnota, Arjun Sahgal, Ali Sadeghi-Naini
Publikováno v:
Cancer Medicine, Vol 9, Iss 16, Pp 5798-5806 (2020)
Cancer Medicine
Cancer Medicine
Background This study was conducted in order to develop a model for predicting response to neoadjuvant chemotherapy (NAC) in patients with locally advanced breast cancer (LABC) using pretreatment quantitative ultrasound (QUS) radiomics. Methods This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2018776d702f0a355eb56e7355a5e007
https://doi.org/10.32920/21290982
https://doi.org/10.32920/21290982
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 10, Iss 12, Pp ZC54-ZC58 (2016)
Introduction: Oral Submucous Fibrosis (OSMF) is a premalignant condition with potential malignant behaviour characterized by juxta-epithelial fibrosis of the oral cavity. In the process of collagen synthesis, iron gets utilized, by the hydroxylati
Externí odkaz:
https://doaj.org/article/ede341e9566c4158a267648469f05adf
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
Publikováno v:
International Journal of Advanced Research. 8:102-106
Sjogrens syndrome (SS) is a chronic autoimmune disorder that affects the exocrine glands. Primary Sjogrens syndrome is associated with dry mouth dry eyes, and is frequently found in middle middle-aged females in their fourth or fifth decade. This art
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee52e035270e8c57e90a83b5f69aeb15
https://doi.org/10.21474/ijar01/11829
https://doi.org/10.21474/ijar01/11829