Metrics to evaluate the performance of auto-segmentation for radiation treatment planning: A critical review

MV Sherer, D Lin, S Elguindi, S Duke, LT Tan… - Radiotherapy and …, 2021 - Elsevier
Advances in artificial intelligence-based methods have led to the development and
publication of numerous systems for auto-segmentation in radiotherapy. These systems …

STereotactic Arrhythmia Radioablation (STAR): the Standardized Treatment and Outcome Platform for Stereotactic Therapy Of Re-entrant tachycardia by a …

M Grehn, S Mandija, M Miszczyk, D Krug, B Tomasik… - Europace, 2023 - academic.oup.com
Abstract The EU Horizon 2020 Framework-funded Standardized Treatment and Outcome
Platform for Stereotactic Therapy Of Re-entrant tachycardia by a Multidisciplinary …

UK 2022 consensus on normal tissue dose-volume constraints for oligometastatic, primary lung and hepatocellular carcinoma stereotactic ablative radiotherapy

P Diez, GG Hanna, KL Aitken, N Van As, A Carver… - Clinical Oncology, 2022 - Elsevier
The use of stereotactic ablative radiotherapy (SABR) in the UK has expanded over the past
decade, in part as the result of several UK clinical trials and a recent NHS England …

[图书][B] Practical radiotherapy planning

S Morris, T Roques, S Ahmad, S Loo - 2023 - taylorfrancis.com
Good and effective treatment in radiotherapy requires careful consideration of the complex
variables involved as well as critical assessment of the techniques. This new edition of an …

Comprehensive and clinically accurate head and neck cancer organs-at-risk delineation on a multi-institutional study

X Ye, D Guo, J Ge, S Yan, Y Xin, Y Song, Y Yan… - Nature …, 2022 - nature.com
Accurate organ-at-risk (OAR) segmentation is critical to reduce radiotherapy complications.
Consensus guidelines recommend delineating over 40 OARs in the head-and-neck (H&N) …

Clinical natural language processing for radiation oncology: a review and practical primer

DS Bitterman, TA Miller, RH Mak, GK Savova - International Journal of …, 2021 - Elsevier
Natural language processing (NLP), which aims to convert human language into
expressions that can be analyzed by computers, is one of the most rapidly developing and …

Dose–volume constraints fOr oRganS At risk In Radiotherapy (CORSAIR): an “All-in-One” multicenter–multidisciplinary practical summary

S Bisello, S Cilla, A Benini, R Cardano, NP Nguyen… - Current …, 2022 - mdpi.com
Background: The safe use of radiotherapy (RT) requires compliance with dose/volume
constraints (DVCs) for organs at risk (OaRs). However, the available recommendations are …

Clinical feasibility of deep learning-based auto-segmentation of target volumes and organs-at-risk in breast cancer patients after breast-conserving surgery

SY Chung, JS Chang, MS Choi, Y Chang, BS Choi… - Radiation …, 2021 - Springer
Background In breast cancer patients receiving radiotherapy (RT), accurate target
delineation and reduction of radiation doses to the nearby normal organs is important …

The future of MRI in radiation therapy: Challenges and opportunities for the MR community

RJ Goodburn, MEP Philippens… - Magnetic resonance …, 2022 - Wiley Online Library
Radiation therapy is a major component of cancer treatment pathways worldwide. The main
aim of this treatment is to achieve tumor control through the delivery of ionizing radiation …

A clinical evaluation of the performance of five commercial artificial intelligence contouring systems for radiotherapy

PJ Doolan, S Charalambous, Y Roussakis… - Frontiers in …, 2023 - frontiersin.org
Purpose/objective (s) Auto-segmentation with artificial intelligence (AI) offers an opportunity
to reduce inter-and intra-observer variability in contouring, to improve the quality of contours …