Results 141 to 150 of about 646,696 (338)

DaedalusData: Exploration, Knowledge Externalization and Labeling of Particles in Medical Manufacturing -- A Design Study [PDF]

open access: yesarXiv
In medical diagnostics of both early disease detection and routine patient care, particle-based contamination of in-vitro diagnostics consumables poses a significant threat to patients. Objective data-driven decision-making on the severity of contamination is key for reducing patient risk, while saving time and cost in quality assessment.
arxiv  

Multi‐institutional study on image quality for a novel CBCT solution on O‐ring linac

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction This work presents a multi‐institutional study on image quality provided by a novel cone beam computed tomography (CBCT). The main goal is to investigate the consistency of imaging performance across multiple institutions.
Luis Agulles‐Pedrós   +11 more
wiley   +1 more source

Evaluation of daily residual pancreatic tumor motion for deep‐inspiration breath‐hold radiotherapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Breath‐hold techniques are widely used in radiation therapy to minimize respiratory‐induced tumor or organ‐at‐risk motion. However, residual motion persists, necessitating a reliable daily evaluation method. Methods At our institution, fiducial markers serve as surrogates for target localization in pancreatic cancer treatment.
Weihua Mao   +4 more
wiley   +1 more source

Multiple sclerosis clinical decision support system based on projection to reference datasets

open access: yesAnnals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1863-1873, December 2022., 2022
Abstract Objective Multiple sclerosis (MS) is a multifactorial disease with increasingly complicated management. Our objective is to use on‐demand computational power to address the challenges of dynamically managing MS. Methods A phase 3 clinical trial data (NCT00906399) were used to contextualize the medication efficacy of peg‐interferon beta‐1a vs ...
Chadia Ed‐driouch   +13 more
wiley   +1 more source

Improvement of Technical and Analytical Performance in DNA Sequencing by External Quality Assessment-Based Molecular Training [PDF]

open access: bronze, 2006
Alexandra Dorn‐Beineke   +5 more
openalex   +1 more source

Does dose calculation algorithm affect the dosimetric accuracy of synthetic CT for MR‐only radiotherapy planning in brain tumors?

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study compares the dosimetric accuracy of deep‐learning‐based MR synthetic CT (sCT) in brain radiotherapy between the Analytical Anisotropic Algorithm (AAA) and AcurosXB (AXB). Additionally, it proposes a novel metric to predict the dosimetric accuracy of sCT for individual post‐surgical brain cases.
Jeffrey C. F. Lui   +3 more
wiley   +1 more source

Harmonizing results of ataxia rating scales: mFARS, SARA, and ICARS

open access: yesAnnals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 2041-2046, December 2022., 2022
Abstract The ever‐increasing body of ataxia research provides opportunities for large‐scale meta‐analyses, systematic reviews, and data aggregation. Because multiple standardized scales are used to quantify ataxia severity, harmonization of these measures is necessary for quantitative data pooling. We applied the modified Friedreich Ataxia Rating Scale
Christian Rummey   +5 more
wiley   +1 more source

Results of German external quality assessment schemes for SARS-CoV-2 antigen detection. [PDF]

open access: yesSci Rep, 2023
Vierbaum L   +26 more
europepmc   +1 more source

T2‐weighted imaging of rectal cancer using a 3D fast spin echo sequence with and without deep learning reconstruction: A reader study

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To compare image quality and clinical utility of a T2‐weighted (T2W) 3‐dimensional (3D) fast spin echo (FSE) sequence using deep learning reconstruction (DLR) versus conventional reconstruction for rectal magnetic resonance imaging (MRI).
Dan Nguyen   +11 more
wiley   +1 more source

Home - About - Disclaimer - Privacy