Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Napapat, Amornwichet"'
Autor:
Anussara Prayongrat, Natchalee Srimaneekarn, Kanokporn Thonglert, Chonlakiet Khorprasert, Napapat Amornwichet, Petch Alisanant, Hiroki Shirato, Keiji Kobashi, Sira Sriswasdi
Publikováno v:
Radiation Oncology, Vol 17, Iss 1, Pp 1-11 (2022)
Abstract Purpose: The aim of this study was to develop a normal tissue complication probability model using a machine learning approach (ML-based NTCP) to predict the risk of radiation-induced liver disease in hepatocellular carcinoma (HCC) patients.
Externí odkaz:
https://doaj.org/article/d5e669d05579433eaf670d5a61a1642f
Autor:
Kullathorn Thephamongkhol, Pornpim Korpraphong, Kobkun Muangsomboon, Chomporn Sitathanee, Arb-aroon Lertkhachonsuk, Sith Phongkitkarun, Saowanee Srirattanapong, Duangkamon Prapruttam, Jidapa Bridhikitti, Thaworn Dendumrongsup, Petch Alisanant, Napapat Amornwichet, Chonlakiet Khorprasert, Kewalee Sasiwimonphan, Chamnan Tanprasertkul, Mantana Dhanachai, Jayanton Patumanond, Jiraporn Setakornnukul
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract To develop and validate a prognostic model, including the minor lymphatic pathway (internal iliac and presacral nodes). Study design: Retrospective cohort. Participants: Locally advanced cervical cancer underwent concurrent chemoradiotherapy
Externí odkaz:
https://doaj.org/article/05d70037f48b4b449941dd30faa26170
Autor:
Kullathorn Thephamongkhol, Arb-aroon Lertkhachonsuk, Chomporn Sitathanee, Petch Alisanant, Napapat Amornwichet, Chonlakiet Khorprasert, Jidapa Bridhikitti, Pornpim Korpraphong, Kobkun Muangsomboon, Sith Phongkitkarun, Saowanee Srirattanapong, Duangkamon Prapruttam, Thaworn Dendumrongsup, Kewalee Sasiwimonphan, Chamnan Tanprasertkul, Mantana Dhanachai, Jayanton Patumanond, Jiraporn Setakornnukul
Publikováno v:
Siriraj Medical Journal, Vol 74, Iss 4, Pp 245-255 (2022)
Objective: To compare tumor control and toxicity between tri-weekly chemotherapy and weekly platinum-based chemotherapy in locally advanced cervical cancer using the propensity score matching method. Material and Methods: DESIGN: Retrospective cohort
Externí odkaz:
https://doaj.org/article/5ad8927badc640c2a608ff4bd146bea2
Autor:
Anussara Prayongrat, Natchalee Srimaneekarn, Kanokporn Thonglert, Chonlakiet Khorprasert, Napapat Amornwichet, Petch Alisanant, Hiroki Shirato, Keiji Kobashi, Sira Sriswasdi
Publikováno v:
Radiation Oncology, Vol 18, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/69278e8ef1534f3cad3c686bd650e411
Publikováno v:
Clinical Case Reports, Vol 9, Iss 10, Pp n/a-n/a (2021)
Abstract Rectal irrigation may be considered in refractory and severe hematochezia from chronic radiation proctitis before performing other invasive treatments. It prevents superimposed infection and effectively reduces bleeding.
Externí odkaz:
https://doaj.org/article/30ccd38b046245d0a920e936f01be679
Publikováno v:
PLoS ONE, Vol 16, Iss 9, p e0257556 (2021)
BackgroundIn Thailand, individuals with hepatocellular carcinoma (HCC) who develop portal vein tumor thrombosis (PVTT) have a restricted treatment option because to the extent of the disease, poor underlying liver function, and non-coverage of immuno
Externí odkaz:
https://doaj.org/article/0ffc57954c7e4a329ea283829145049d
Autor:
Umesh Mahantshetty, Heloisa de Andrade Carvalho, Surbhi Grover, C.A. Akinfenwa, Napapat Amornwichet, G. Lavanya
Publikováno v:
Clinical Oncology. 33:e363-e371
Cervical cancer is one of the most common cancers in developing nations. It has had a tremendous impact on the lifetime of millions of women over the last century and continues to do so. In this collaborative clinicians' review, we highlight the inci
Autor:
P. Alisanant, Anthony J. Hayter, Napapat Amornwichet, Chonlakiet Khorprasert, Yoichi M. Ito, Chie Toramatsu, Shinichi Shimizu, Natchalee Srimaneekarn, Keiji Kobashi, Hiroki Shirato, Masaya Tamura, Yasuhiro Dekura, Anussara Prayongrat, Sira Sriswasdi, Norio Katoh, Yuichi Hirata
Publikováno v:
Journal of Radiation Research
We developed a confidence interval-(CI) assessing model in multivariable normal tissue complication probability (NTCP) modeling for predicting radiation-induced liver disease (RILD) in primary liver cancer patients using clinical and dosimetric data.
Autor:
C. Nantavithya, Chonlakiet Khorprasert, Chakkapong Chakkabat, P. Alisanant, Anussara Prayongrat, Tassapong Raiyava, Danita Kannarunimit, Kanjana Shotelersuk, Sarin Kitpanit, Napapat Amornwichet, Kitwadee Saksornchai, Chawalit Lertbutsayanukul, Thitiporn Jaruthien
Publikováno v:
Translational Cancer Research
Background Stereotactic body radiation therapy (SBRT) using flattening filter free (FFF) has been commonly used, however, its outcomes and predictive factors in lung tumors are limiting. Thus, we aim to assess the clinical outcomes of this approach a
Autor:
Mai Anakura, Ankita Nachankar, Daijiro Kobayashi, Napapat Amornwichet, Yuka Hirota, Atsushi Shibata, Takahiro Oike, Takashi Nakano
Publikováno v:
International Journal of Molecular Sciences, Vol 20, Iss 15, p 3635 (2019)
In the era of precision medicine, radiotherapy strategies should be determined based on genetic profiles that predict tumor radiosensitivity. Accordingly, pre-clinical research aimed at discovering clinically applicable genetic profiles is needed. Ho
Externí odkaz:
https://doaj.org/article/6041768d1dca43daa9d33d8defc494e5