DCE-MRI assessment of response to neoadjuvant SABR in early stage breast cancer: Comparisons of single versus three fraction schemes and two different imaging time delays post-SABR

Autor: Matthew Mouawad, Heather Biernaski, Muriel Brackstone, Michael Lock, Brian Yaremko, Olga Shmuilovich, Anat Kornecki, Ilanit Ben Nachum, Giulio Muscedere, Kalan Lynn, Frank S. Prato, R. Terry Thompson, Stewart Gaede, Neil Gelman

Publikováno v: Clinical and Translational Radiation Oncology, Vol 21, Iss , Pp 25-31 (2020)

Purpose: To determine the effect of dose fractionation and time delay post-neoadjuvant stereotactic ablative radiotherapy (SABR) on dynamic contrast-enhanced (DCE)-MRI parameters in early stage breast cancer patients. Materials and methods: DCE-MRI w

Externí odkaz: https://doaj.org/article/c6cdfde672cf4c1fb301f79f275de4ae

Intrafraction motion monitoring to determine PTV margins in early stage breast cancer patients receiving neoadjuvant partial breast SABR

Autor: R. Terry Thompson, Michael Lock, Kalan Lynn, Stewart Gaede, Owen Lailey, Anat Kornecki, Brian Yaremko, Matthew Mouawad, Scott J. Karnas, Muriel Brackstone, Ilanit Ben Nachum, Giulio Muscedere, Olga Shmuilovich, Per Rugaard Poulsen, Frank S. Prato, Melissa O'Neil

Publikováno v: Mouawad, M, Lailey, O, Poulsen, P, O'Neil, M, Brackstone, M, Lock, M, Yaremko, B, Shmuilovich, O, Kornecki, A, Ben Nachum, I, Muscedere, G, Lynn, K, Karnas, S, Prato, F S, Thompson, R T & Gaede, S 2021, ' Intrafraction motion monitoring to determine PTV margins in early stage breast cancer patients receiving neoadjuvant partial breast SABR ', Radiotherapy and Oncology, vol. 158, pp. 276-284 . https://doi.org/10.1016/j.radonc.2021.02.021

Background and purpose To quantify intra-fraction tumor motion using imageguidance and implanted fiducial markers to determine if a 5 mm planning-target-volume (PTV) margin is sufficient for early stage breast cancer patients receiving neoadjuvant st

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb3ae02aae62431f63de27d69027d628
https://doi.org/10.1016/j.radonc.2021.02.021

DCE-MRI assessment of response to neoadjuvant SABR in early stage breast cancer: Comparisons of single versus three fraction schemes and two different imaging time delays post-SABR

Autor: Giulio Muscedere, Brian Yaremko, Ilanit Ben Nachum, Muriel Brackstone, Heather Biernaski, Neil Gelman, Olga Shmuilovich, Anat Kornecki, Michael Lock, Kalan Lynn, R. Terry Thompson, Matthew Mouawad, Frank S. Prato, Stewart Gaede

Publikováno v: Clinical and Translational Radiation Oncology
Clinical and Translational Radiation Oncology, Vol 21, Iss, Pp 25-31 (2020)

Highlights • Early stage breast cancer patients were treated with 1 or 3 fraction SABR. • Tumour and tissue changes were assessed using DCE-MRI at 1 or 3 weeks. • Response at 1 week was confounded by acute inflammatory effects. • 2.5 weeks po

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1db0342ad0cadde48d677288b5573ff1
https://doi.org/10.1016/j.ctro.2019.12.004

Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning

Autor: Zhongyi Han, Ilanit Ben Nachum, Benzheng Wei, Stephanie Leung, Shuo Li, David Laidley

Publikováno v: Neuroinformatics. 16:325-337

Pathogenesis-based diagnosis is a key step to prevent and control lumbar neural foraminal stenosis (LNFS). It conducts both early diagnosis and comprehensive assessment by drawing crucial pathological links between pathogenic factors and LNFS. Automa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8dd1a966b763735e8de51f57b0ab614
https://doi.org/10.1007/s12021-018-9365-1

Multitarget Sparse Latent Regression

Autor: Feng Zheng, Mengyang Yu, Mousumi Bhaduri, Shuo Li, Ilanit Ben Nachum, Xiantong Zhen, David Laidley

Publikováno v: IEEE transactions on neural networks and learning systems. 29(5)

Multitarget regression has recently generated intensive popularity due to its ability to simultaneously solve multiple regression tasks with improved performance, while great challenges stem from jointly exploring inter-target correlations and input�

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f628c5f726413b237d5bf7eb9dadbfa
https://pubmed.ncbi.nlm.nih.gov/28328512