Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Tanwiwat Jaikuna"'
Autor:
Tanwiwat Jaikuna, Eliana Vasquez Osorio, David Azria, Jenny Chang-Claude, Maria Carmen De Santis, Sara Gutiérrez-Enríquez, Marcel van Herk, Peter Hoskin, Maarten Lambrecht, Zoe Lingard, Petra Seibold, Alejandro Seoane, Elena Sperk, R Paul Symonds, Christopher J. Talbot, Tiziana Rancati, Tim Rattay, Victoria Reyes, Barry S. Rosenstein, Dirk de Ruysscher, Ana Vega, Liv Veldeman, Adam Webb, Catharine M.L. West, Marianne C. Aznar
Publikováno v:
Breast, Vol 72, Iss , Pp 103578- (2023)
Background: Normal tissue complication probability (NTCP) models can be useful to estimate the risk of fibrosis after breast-conserving surgery (BCS) and radiotherapy (RT) to the breast. However, they are subject to uncertainties. We present the impa
Externí odkaz:
https://doaj.org/article/e25f42a696f54fbd825c0277b21e99f4
A deep learning model (FociRad) for automated detection of γ-H2AX foci and radiation dose estimation
Autor:
Rujira Wanotayan, Khaisang Chousangsuntorn, Phasit Petisiwaveth, Thunchanok Anuttra, Waritsara Lertchanyaphan, Tanwiwat Jaikuna, Kulachart Jangpatarapongsa, Pimpon Uttayarat, Teerawat Tongloy, Chousak Chousangsuntorn, Siridech Boonsang
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract DNA double-strand breaks (DSBs) are the most lethal form of damage to cells from irradiation. γ-H2AX (phosphorylated form of H2AX histone variant) has become one of the most reliable and sensitive biomarkers of DNA DSBs. However, the γ-H2A
Externí odkaz:
https://doaj.org/article/d194011aa92142459a3da9b8bc0d5fc1
Autor:
Tanwiwat Jaikuna, Phatchareewan Khadsiri, Nisa Chawapun, Suwit Saekho, Ekkasit Tharavichitkul
Publikováno v:
Journal of Contemporary Brachytherapy, Vol 9, Iss 1, Pp 44-51 (2017)
Purpose: To develop an in-house software program that is able to calculate and generate the biological dose distribution and biological dose volume histogram by physical dose conversion using the linear-quadratic-linear (LQL) model. Material and meth
Externí odkaz:
https://doaj.org/article/e6bf5bf3a9924b5c8b212cca7915d802
A deep learning model (FociRad) for automated detection of γ-H2AX foci and radiation dose estimation
Autor:
Rujira Wanotayan, Khaisang Chousangsuntorn, Phasit Petisiwaveth, Thunchanok Anuttra, Waritsara Lertchanyaphan, Tanwiwat Jaikuna, Kulachart Jangpatarapongsa, Pimpon Uttayarat, Teerawat Tongloy, Chousak Chousangsuntorn, Siridech Boonsang
Publikováno v:
Scientific reports. 12(1)
DNA double-strand breaks (DSBs) are the most lethal form of damage to cells from irradiation. γ-H2AX (phosphorylated form of H2AX histone variant) has become one of the most reliable and sensitive biomarkers of DNA DSBs. However, the γ-H2AX foci as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fdbd3b4ae74f065a9f0d87ab11d3bc8
https://pubmed.ncbi.nlm.nih.gov/35365702
https://pubmed.ncbi.nlm.nih.gov/35365702
Autor:
Nongnuch Chatchaipaiboon, Supranee Supanant, Taweap Sanghangthum, Pitchayut Nakkrasae, P Tangboonduangjit, Chirasak Khamfongkhruea, Thida Niyomthai, Rattapol Rangseevijitprapa, Porntip Iampongpaiboon, Boonrut Vuttiprasertpong, Lalida Tuntipumiamorn, Tanwiwat Jaikuna
Publikováno v:
Reports of Practical Oncology & Radiotherapy. 24:124-132
Aim In this study, an accuracy survey of intensity-modulated radiation therapy (IMRT) and volumetric arc radiation therapy (VMAT) implementation in radiotherapy centers in Thailand was conducted. Background It is well recognized that there is a need
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e057e1671fc29f2ffb43849b5b429af5
https://doi.org/10.1016/j.rpor.2018.11.005
https://doi.org/10.1016/j.rpor.2018.11.005
Publikováno v:
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology. 157
Background and purpose To investigate the relationship between deformable image registration (DIR) recalculated dose on cone beam computed tomography (CBCT) and gastrointestinal and genitourinary toxicity in postoperative prostate cancer patients tre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b95aebfce3e133a26f3871d13c56f2c0
https://pubmed.ncbi.nlm.nih.gov/33418004
https://pubmed.ncbi.nlm.nih.gov/33418004
Publikováno v:
Radiotherapy and Oncology. 133:S440-S441
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d678a86ef5bbccb9321e79a48df1821
https://doi.org/10.1016/s0167-8140(19)31259-9
https://doi.org/10.1016/s0167-8140(19)31259-9