Investigate the dosimetric and potential clinical benefits utilizing stereotactic body radiation therapy with simultaneous integrated boost technique for locally advanced …

P Liu, X Gao, Z Wang, X Li, X Cao, C Jia, M Xie… - Frontiers in …, 2021 - frontiersin.org
Purpose To investigate the potential clinical benefits of using stereotactic body radiation
therapy (SBRT) with simultaneous integrated boost (SIB) technique for locally advanced …

A novel X‐Ray and γ‐Ray combination strategy for potential dose escalation in patients with locally advanced pancreatic cancer

X Liu, Y Tao, B Yang, T Pang, L Yu, W Li… - Medical …, 2023 - Wiley Online Library
Background Treatment of locally advanced pancreatic cancer (LAPC) has long been calling
for advances in technology of radiotherapy. Patients who received radiotherapy still had …

HIF2 regulates intestinal Wnt5a expression

CJ García García, AC Acevedo Diaz, N Kumari… - Frontiers in …, 2021 - frontiersin.org
Radiation therapy for abdominal tumors is challenging because the small intestine is
exquisitely radiosensitive. Unfortunately, there are no FDA-approved therapies to prevent or …

[HTML][HTML] Performance Comparison of 10 State-of-the-Art Machine Learning Algorithms for Outcome Prediction Modeling of Radiation-Induced Toxicity

RM Salazar, SS Nair, AO Leone, T Xu… - Advances in Radiation …, 2025 - Elsevier
Purpose To evaluate the efficacy of prominent machine learning algorithms in predicting
normal tissue complication probability using clinical data obtained from 2 distinct disease …

[HTML][HTML] Gastroscopic observation and dose-volume histogram parameter study on gastrointestinal mucous injury for pancreatic cancer treated with TOMO

H Wei, W Han, X Zhang, M Zhang - Medicine, 2024 - journals.lww.com
To explore the relationships between gastrointestinal radiation injuries of pancreatic cancer
patients treated with TOMO and dose-volume histogram parameters prospectively. Seventy …

Performance comparison of ten state-of-the-art machine learning algorithms for outcome prediction modeling of radiation-induced toxicity

RM Salazar, SS Nair, AO Leone, T Xu, RP Mumme… - medRxiv, 2024 - medrxiv.org
Purpose To evaluate the efficacy of prominent machine learning algorithms in predicting
normal tissue complication probability utilizing clinical data obtained from two distinct …

[HTML][HTML] Comparing different boost concepts and beam configurations for proton therapy of pancreatic cancer

T Takaoka, T Yanagi, S Takahashi, Y Shibamoto… - Physics and Imaging in …, 2024 - Elsevier
Abstract Background and Purpose Interfractional geometrical and anatomical variations
impact the accuracy of proton therapy for pancreatic cancer. This study investigated field-in …