Machine learning-based normal tissue complication probability model for predicting albumin-bilirubin (ALBI) grade increase in hepatocellular carcinoma patients

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

Propensity Score Matched Study of Tri-Weekly vs. Weekly Platinum-Based Chemotherapy Concurrent with Radiotherapy in the Treatment of Locally Advanced Cervical Cancer

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

Advanced radiotherapy technique in hepatocellular carcinoma with portal vein thrombosis: Feasibility and clinical outcomes.

Autor: Chonlakiet Khorprasert, Kanokphorn Thonglert, Petch Alisanant, Napapat Amornwichet

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

Correction: Machine learning-based normal tissue complication probability model for predicting albumin-bilirubin (ALBI) grade increase in hepatocellular carcinoma patients.

Autor: Prayongrat, Anussara¹ (AUTHOR) anussara.p@chula.ac.th, Srimaneekarn, Natchalee² (AUTHOR), Thonglert, Kanokporn¹ (AUTHOR), Khorprasert, Chonlakiet¹ (AUTHOR), Amornwichet, Napapat¹ (AUTHOR), Alisanant, Petch¹ (AUTHOR), Shirato, Hiroki^3,4 (AUTHOR), Kobashi, Keiji^5,6 (AUTHOR), Sriswasdi, Sira^7,8,9 (AUTHOR) sira.sr@chula.ac.th

Publikováno v: Radiation Oncology. 3/15/2023, Vol. 18 Issue 1, p1-1. 1p.

Development and validation of a prognostic prediction model including the minor lymphatic pathway for distant metastases in cervical cancer patients.

Autor: Thephamongkhol, Kullathorn^1,2 (AUTHOR), Korpraphong, Pornpim³ (AUTHOR), Muangsomboon, Kobkun³ (AUTHOR), Sitathanee, Chomporn⁴ (AUTHOR), Lertkhachonsuk, Arb-aroon⁵ (AUTHOR), Phongkitkarun, Sith⁶ (AUTHOR), Srirattanapong, Saowanee⁶ (AUTHOR), Prapruttam, Duangkamon⁶ (AUTHOR), Bridhikitti, Jidapa⁷ (AUTHOR), Dendumrongsup, Thaworn⁸ (AUTHOR), Alisanant, Petch⁹ (AUTHOR), Amornwichet, Napapat⁹ (AUTHOR), Khorprasert, Chonlakiet⁹ (AUTHOR), Sasiwimonphan, Kewalee¹⁰ (AUTHOR), Tanprasertkul, Chamnan^2,11 (AUTHOR), Dhanachai, Mantana⁴ (AUTHOR), Patumanond, Jayanton¹² (AUTHOR), Setakornnukul, Jiraporn¹ (AUTHOR) jiraporn.set@mahidol.ac.th

Publikováno v: Scientific Reports. 6/14/2022, Vol. 12 Issue 1, p1-12. 12p.