Role and future of MRI in radiation oncology

IJ Das, KP McGee, N Tyagi… - The British journal of …, 2019 - academic.oup.com
Technical innovations and developments in areas such as disease localization, dose
calculation algorithms, motion management and dose delivery technologies have …

Current status and future developments in predicting outcomes in radiation oncology

D Niraula, S Cui, J Pakela, L Wei, Y Luo… - The British Journal of …, 2022 - academic.oup.com
Advancements in data-driven technologies and the inclusion of information-rich multiomics
features have significantly improved the performance of outcomes modeling in radiation …

[HTML][HTML] Long term outcomes of stereotactic body radiation therapy for hepatocellular carcinoma without macrovascular invasion

AS Mathew, EG Atenafu, D Owen, C Maurino… - European Journal of …, 2020 - Elsevier
Abstract Background Stereotactic Body Radiation Therapy (SBRT) is a non-invasive ablative
treatment for hepatocellular carcinoma (HCC). This report aimed to address the limited …

Data Science Opportunities To Improve Radiotherapy Planning and Clinical Decision Making

JO Deasy - Seminars in radiation oncology, 2024 - Elsevier
Radiotherapy aims to achieve a high tumor control probability while minimizing damage to
normal tissues. Personalizing radiotherapy treatments for individual patients, therefore …

Deep learning-guided dosimetry for mitigating local failure of patients with non-small cell lung cancer receiving stereotactic body radiation therapy

D Dudas, PG Saghand, TJ Dilling, BA Perez… - International Journal of …, 2024 - Elsevier
Purpose Non-small cell lung cancer (NSCLC) stereotactic body radiation therapy with 50
Gy/5 fractions is sometimes considered controversial, as the nominal biologically effective …

Normal tissue complication probability (NTCP) models for predicting temporal lobe injury after intensity-modulated radiotherapy in nasopharyngeal carcinoma: A large …

DW Wen, L Lin, YP Mao, CY Chen, FP Chen… - Radiotherapy and …, 2021 - Elsevier
Purpose To develop predictive models with dosimetric and clinical variables for temporal
lobe injury (TLI) in nasopharyngeal carcinoma (NPC) after intensity-modulated radiotherapy …

A primer on dose-response data modeling in radiation therapy

V Moiseenko, LB Marks, J Grimm, A Jackson… - International Journal of …, 2021 - Elsevier
An overview of common approaches used to assess a dose response for radiation therapy–
associated endpoints is presented, using lung toxicity data sets analyzed as a part of the …

Dosimetric analysis and normal-tissue complication probability modeling of child-pugh score and albumin-bilirubin grade increase after hepatic irradiation

J Pursley, I El Naqa, NN Sanford, B Noe, JY Wo… - International Journal of …, 2020 - Elsevier
Purpose This study aimed to develop robust normal-tissue complication probability (NTCP)
models for patients with hepatocellular carcinoma treated with radiation therapy (RT) using …

Radiotherapy for hepatocellular carcinoma

Y Yu, M Feng - Seminars in Radiation Oncology, 2018 - Elsevier
For patients with unresectable or medically inoperable hepatocellular carcinoma, there are
many local and regional therapies available, including stereotactic body radiotherapy …

Predictive performance of different NTCP techniques for radiation-induced esophagitis in NSCLC patients receiving proton radiotherapy

M Chen, Z Wang, S Jiang, J Sun, L Wang, N Sahoo… - Scientific reports, 2022 - nature.com
This study aimed to compare the predictive performance of different modeling methods in
developing normal tissue complication probability (NTCP) models for predicting radiation …