Results 151 to 160 of about 2,842,066 (337)

Stereotactic radiosurgery for multiple small brain metastases using gamma knife versus single‐isocenter VMAT: Normal brain dose based on lesion number and size

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose The study evaluates rapid linear accelerator (Linac) single isocenter stereotactic radiosurgery (SRS) with Hyperarc for large target numbers. We compared to Gamma Knife (GK), which suffers from long treatment times and investigated causes of differences. Methods Linac SRS and GK treatment plans for patients receiving 18 Gy to the gross
Abram Abdou   +4 more
wiley   +1 more source

Toward a human‐centric co‐design methodology for AI detection of differences between planned and delivered dose in radiotherapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising   +11 more
wiley   +1 more source

Prognosis of chronic lymphocytic leukemia: a multivariate regression analysis of 325 untreated patients [PDF]

open access: bronze, 1987
Lee Js   +4 more
openalex   +1 more source

Quantification and dosimetric impact of intra‐fractional bladder changes during CBCT‐guided online adaptive radiotherapy for pelvic cancer treatments

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study quantitatively evaluates bladder changes and their dosimetric impact during the on‐couch adaptive process on a commercial CBCT‐based online adaptive radiotherapy (CT‐gART) platform. Methods Data from 183 fractions of ten patients receiving online ART for pelvic cancers were analyzed retrospectively.
Ingrid Valencia Lozano   +7 more
wiley   +1 more source

Comparative Analysis of Logistic Regression, Gradient Boosted Trees, SVM, and Random Forest Algorithms for Prediction of Acute Kidney Injury Requiring Dialysis After Cardiac Surgery

open access: yesInternational Journal of Nephrology and Renovascular Disease
Evi Diana Omar,1 Hasnah Mat,1 Ainil Zafirah Abd Karim,1 Ridwan Sanaudi,1 Fairol H Ibrahim,2 Mohd Azahadi Omar,1 Muhd Zulfadli Hafiz Ismail,1 Vivek Jason Jayaraj,1 Bak Leong Goh2 1Sector for Biostatistics and Data Repository, National Institutes of Health,
Omar ED   +8 more
doaj  

Fast, automated optimization of virtual monoenergetic images with the dual‐energy image synthesizer for cone‐beam CT

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Dual‐energy cone‐beam CT (DE‐CBCT) has become subject of recent interest due to the ability to produce virtual monoenergetic images (VMIs) with improved soft‐tissue contrast and reduced nonuniformity artifacts. However, efficient production and optimization of VMIs remains an under‐explored part of DE‐CBCT's application.
Andrew Keeler   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy