Results 51 to 60 of about 9,815,891 (273)
Fully automated radiotherapy treatment planning: A scan to plan challenge
Over the past decade, tools for automation of various sub-tasks in radiotherapy planning have been introduced, such as auto-contouring and auto-planning. The purpose of this study was to benchmark what degree of automation is possible.A challenge to perform automated treatment planning for prostate and prostate bed radiotherapy was set up. Participants
Gooding, Mark J. +11 more
openaire +2 more sources
ABSTRACT Background Survivorship care plans (SCPs) summarize cancer treatment and guide risk‐based follow‐up for cancer survivors, yet remain difficult to create, share, and use. Stakeholder perspectives are needed to inform usable approaches.
Molly S. Talman +4 more
wiley +1 more source
Artificial Intelligence for Automated Grading and Treatment Planning in Periodontitis [PDF]
Periodontitis is a widespread chronic inflammatory disease that continues to threaten oral health and contributes to systemic complications. Its diagnosis and grading largely depend on probing and radiographic assessment, yet these approaches vary across
Li Yuanlong
doaj +1 more source
ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola +4 more
wiley +1 more source
Background and purposeWhole pelvic radiotherapy (WPRT) involves volumetric modulated arc therapy (VMAT) planning that requires careful consideration of target coverage and organ-at-risk (OAR) sparing.
Chih-Yuan Lin +8 more
doaj +1 more source
A plan template‐based automation solution using a commercial treatment planning system [PDF]
AbstractPurposeThe purpose of this study was to develop an auto‐planning platform to be interfaced with a commercial treatment planning system (TPS). The main goal was to obtain robust and high‐quality plans for different anatomic sites and various dosimetric requirements.MethodsMonaco (Elekta, St. Louis, US) was the TPS in this work.
Huang, Xiaotian +5 more
openaire +2 more sources
Modelling stem cell differentiation related processes—A practical overview for biologists
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Automated contouring and planning pipeline for hippocampal-avoidant whole-brain radiotherapy
Background Whole-brain radiotherapy (WBRT) remains an important treatment for over 200,000 cancer patients in the United States annually. Hippocampal-avoidant WBRT (HA-WBRT) reduces neurocognitive toxicity compared to standard WBRT, but HA-WBRT ...
Christine H. Feng +4 more
doaj +1 more source
Background Volumetric modulated arc therapy (VMAT) for locally advanced rectal cancer (LARC) has emerged as a promising technique, but the planning process can be time-consuming and dependent on planner expertise.
Kouta Hirotaki +6 more
doaj +1 more source
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach +9 more
wiley +1 more source

