Objective: The aim of this study was to evaluate the impact on dose reduction and image quality of the new iterative reconstruction technique: adaptive statistical iterative reconstruction (ASIR-V).
Methods: Fifty consecutive oncologic patients acted as case controls undergoing during their follow-up a computed tomography scan both with ASIR and ASIR-V. Each study was analyzed in a double-blinded fashion by 2 radiologists. Both quantitative and qualitative analyses of image quality were conducted.
Results: Computed tomography scanner radiation output was 38% (29%-45%) lower (P < 0.0001) for the ASIR-V examinations than for the ASIR ones. The quantitative image noise was significantly lower (P < 0.0001) for ASIR-V. Adaptive statistical iterative reconstruction-V had a higher performance for the subjective image noise (P = 0.01 for 5 mm and P = 0.009 for 1.25 mm), the other parameters (image sharpness, diagnostic acceptability, and overall image quality) being similar (P > 0.05).
Conclusions: Adaptive statistical iterative reconstruction-V is a new iterative reconstruction technique that has the potential to provide image quality equal to or greater than ASIR, with a dose reduction around 40%.
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http://dx.doi.org/10.1097/RCT.0000000000000677 | DOI Listing |
Toxicol Ind Health
January 2025
Department of of Toxicology, Faculty of Pharmacy, Istanbul Okan University, Istanbul, Turkey.
Di-2-(ethylhexyl)phthalate (DEHP) is a phthalate derivative used extensively in a wide range of materials, such as medical devices, toys, cosmetics, and personal care products. Many mechanisms, including epigenetics, may be involved in the effects of phthalates on brain development. In this study, Sprague-Dawley male rats were obtained 21-23 days after their birth (post-weaning) and were exposed to DEHP during the prepubertal period with low-dose DEHP (DEHP-L, 30 mg/kg/day) and high-dose DEHP (DEHP-H, 60 mg/kg/day, 37 days) until the end of adolescence (PND 60).
View Article and Find Full Text PDFAust Vet J
January 2025
Sydney School of Veterinary Science, University of Sydney, Camperdown, Australia.
Background: Errors in veterinary clinical settings can lead to patient harm. Morbidity and mortality meetings (M&Ms) are forums to discuss errors and incidents that can lead or have led to adverse outcomes, potential harm or unsafe conditions, with the purpose of improving patient safety in future. Despite growing implementation of M&Ms in veterinary medicine, their effectiveness in improving future patient safety may be constrained by the need for absolute confidentiality during meetings.
View Article and Find Full Text PDFJ Contemp Dent Pract
October 2024
College of Dentistry, Ajman University, Ajman P.O. Box 346, United Arab Emirates; Department of Endodontic, Faculty of Dentistry, Mansoura University, Egypt, Orcid: https://orcid.org/0000-0003-3391-5306.
Aim: This study aimed to investigate and compare the total and sectional bond strengths of three endodontic sealers when used with the single-cone obturation technique.
Materials And Methods: Forty-five human maxillary central incisors were prepared and divided into three groups according to the type of endodontic sealer: Group I (Gutta-percha/AH Plus Jet), group II (Gutta-percha/GuttaFlow 2), and group III (RealSeal/RealSeal SE). All canals were filled with the single-cone technique.
Fam Process
March 2025
Unit of Psychiatry, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
Borderline personality disorder (BPD) has a strong impact not only on patients' lives but also on their families. The presence of an invalidating environment is one of the key factors in the etiology of BPD. This study evaluated the impact of the Family connections (FC) program on burden, grief, and other clinical variables in 202 caregivers and identified the profiles of participants who improved/deteriorated their levels of burden and grief.
View Article and Find Full Text PDFFront Cardiovasc Med
January 2025
Department of Artificial Intelligence and Informatics, Mayo Clinic, Jacksonville, FL, United States.
Background: Effective management of dual antiplatelet therapy (DAPT) following drug-eluting stent (DES) implantation is crucial for preventing adverse events. Traditional prognostic tools, such as rule-based methods or Cox regression, despite their widespread use and ease, tend to yield moderate predictive accuracy within predetermined timeframes. This study introduces a new contrastive learning-based approach to enhance prediction efficacy over multiple time intervals.
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