Results 131 to 140 of about 32,218 (289)
Deep Learning for CT Synthesis in Radiotherapy
With the rapid development of artificial intelligence (AI), various deep learning (DL) methods have been introduced into radiation oncology. Among them, the generation of synthetic Computed Tomography (sCT) images has attracted increasing attention, as ...
Yike Guo +7 more
doaj +1 more source
Two-and-a-half-year clinical experience with the world\u27s first magnetic resonance image guided radiation therapy system [PDF]
Acharya, Sahaja +23 more
core +2 more sources
Abstract Background We aimed to compare the impact of prescribed parenteral energy on clinical outcomes in patients who exclusively received parenteral nutrition after gastrointestinal cancer surgery. Methods We identified patients who exclusively received parenteral nutrition for ≥7 days after surgery using a medical claims database. Based on the mean
Yoshikuni Kawaguchi +3 more
wiley +1 more source
Abstract Background Identifying individuals at high risk for developing peri‐implantitis (PI) and then determining the prognosis for implants with PI is crucial for treatment planning. Methods This study longitudinally followed implants from implant placement retrospectively.
Muhammad H. A. Saleh +9 more
wiley +1 more source
Three discipline collaborative radiation therapy (3DCRT) special debate: Equipment development is stifling innovation in radiation oncology [PDF]
Kim, Leonard +8 more
core +3 more sources
ABSTRACT Background and Objectives Surgery is the mainstay of treatment for localized colorectal cancer (CRC); however, little is known about survival outcomes following CRC surgery in low‐ and middle‐income countries (LMICs). Here, we examine the available data on long‐term outcomes following CRC resections in LMICs.
Oluwasegun Afolaranmi +11 more
wiley +1 more source
IntroductionThe objective of this study is to evaluate the performance of an automatic workflow for head-and-neck (H&N) radiotherapy using a multi-atlas based auto-contouring software and an a-priori multicriteria plan optimization algorithm and ...
Gaia Muti +7 more
doaj +1 more source
ABSTRACT Background and Objectives Preoperative anxiety is common before surgery and is associated with adverse outcomes, yet access to mental health support remains limited. We evaluated the feasibility and acceptability of a novel preoperative virtual reality (VR) prototype designed to reduce anxiety in patients undergoing cancer surgery.
Renée El‐Gabalawy +12 more
wiley +1 more source
ART workflow based on CBCT and end-to-end clinical dynamic phantom validation
Background In image-guided radiotherapy (IGRT), cone beam CT (CBCT) is usually used as a positional calibration for patients before treatment, but artifacts and inaccurate Hounsfield unit (HU) values prevent its use for clinical treatment dose ...
Zhenkai Li +6 more
doaj +1 more source

