Background: Increased demand for oral anticoagulants is overwhelming facilities worldwide, resulting in increasing use of computer assistance. A multicenter clinical endpoint study has been performed to compare the safety and effectiveness of computer-assisted dosage with dosage by experienced medical staff at the same centers.
Methods: A randomized study of dosage of two commercial computer-assisted dosage programs (PARMA 5 and DAWN AC) vs. manual dosage at 32 centers with an established interest in oral anticoagulation in 13 countries. The aim was to recruit a minimum of 16,000 patient-years randomized to medical staff or computer-assisted dosage. In total, 13,219 patients participated, 6503 patients being randomized to medical staff and 6716 to computer-assisted dosage. The safety and effectiveness of computer-assisted dosage were compared with those of medical staff dosage.
Results: In total, 13,052 patients were recruited (18,617 patient-years). International Normalized Ratio (INR) tests numbered 193 890 with manual dosage and 193,424 with computer-assisted dosage. The number of clinical events with computer-assisted dosage was lower (P = 0.1), but in the 3209 patients with deep vein thrombosis/pulmonary embolism, they were reduced by 37 (24%, P = 0.001). Time in target INR range was significantly improved by computer assistance as compared with medical staff dosage at the majority of centers (P < 0.001).
Conclusions: The safety and effectiveness of computer-assisted dosage has been demonstrated using two different marketed programs in comparison with experienced medical staff dosage at the centers with established interest in anticoagulation. Significant prevention of clinical events in patients with deep vein thrombosis/pulmonary embolism and the achievement of target INR in all clinical groups has been observed. The reliability and safety of other marketed computer-assisted dosage programs need to be established.
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http://dx.doi.org/10.1111/j.1538-7836.2008.02959.x | DOI Listing |
In Vivo
December 2024
Department of Radiation Oncology, Osaka International Cancer Institute, Osaka, Japan.
Background/aim: HyperArc (HA) is an automated planning technique enabling single-isocenter brain stereotactic radiotherapy (SRT); however, dosimetric outcomes may be influenced by the planner's expertise. This study aimed to assess the impact of institutional experience on the plan quality of HA-SRT for both single and multiple brain metastases.
Materials And Methods: Twenty patients who underwent HA-SRT for single metastasis between 2020 and 2021 comprised the earlier group, while those treated between 2022 and 2024 constituted the later group.
Anticancer Res
January 2025
Proton Medical Research Center, University of Tsukuba, Ibaraki, Japan.
Background/aim: This study aimed to predict the optimal timing for adaptive radiation therapy (ART) using two-dimensional X-ray image-based water equivalent thickness (2DWET).
Patients And Methods: Forty patients with oropharyngeal and hypopharyngeal cancer underwent Computed Tomography (CT) rescanning during treatment. An adaptive score (AS) was proposed to guide ART decisions based on changes in four dose indices: target coverage, spinal cord dose, parotid gland dose, and over-dose volume.
Asian Pac J Cancer Prev
December 2024
Department of Physics, Lovely Professional University, Phagwara, India.
Aim: To study the dosimetric behavior of dose computational algorithms in inhomogeneous medium using CMS XiO and MONACO treatment planning system (TPS) for 4 megavoltage (MV), 6 MV and 15 MV photon beam energies.
Material And Methods: Styrofoam blocks of thickness 1.90 cm, 3.
Sci Rep
December 2024
Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, China.
Recently, neoadjuvant short-course radiation therapy (SCRT) has emerged as a valid treatment option for patients with locally advanced rectal cancer (LARC). We assessed SCRT plans using volumetric-modulated arc therapy (VMAT) with Halcyon and Infinity medical linear accelerators (Linacs) and compared the plan quality and delivery efficiency across all cases. Thirty patients who underwent preoperative SCRT for LARC at the hospital were randomly selected.
View Article and Find Full Text PDFTomography
December 2024
Department of Nuclear Medicine and Molecular Imaging, Ajou University School of Medicine, Suwon 16499, Republic of Korea.
Background/objectives: Calculating the radiation dose from CT in F-PET/CT examinations poses a significant challenge. The objective of this study is to develop a deep learning-based automated program that standardizes the measurement of radiation doses.
Methods: The torso CT was segmented into six distinct regions using TotalSegmentator.
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