Objective: Diagnostic reference levels (DRLs) for CT part of positron emission tomography-CT (PET-CT) examinations are limited. The study was aiming to execute the second phase of the national DRL in support of optimisation and dose reduction in State of KW.
Methods: In this multicentre collaborative PET-CT study, oncology patient data were exclusively collected due to the National MOH Ethical Committee recommendation and limitation of the other studies. Median, Mean, SD, 75th, 25th percentiles as well as whole body (WB) effective dose (ED) were calculated. The study was UK-IPEM-based methodology and it was the second phase of the study in Kuwait.
Results: Half body (HB) and WB scans were 65 and 35% of the total enterers (309). The third quartile dose-length product (DLP) (mGy x cm) and volumetric CT dose index (mGy) values for the HB (537, 5) were higher than the UK NDRL (400, 4.3) but were lower than the Swiss NDRL (620, 6) and the France NDRL (762, 7.7). Comparatively, the proposed NDRLs for the WB (684, 4.1) were lower than Swiss National Data (720, 5.0) though, the Swiss had about 5000 (HB) & 706 (WB), the UK had 370 (HB) and France had 1000 (HB) entries. Calculated ED varied from 4.1 to 10.2 mSv, (mean values = 6.9 mSv) for HB and from 2.6 to 7 mSv (mean value = 4.6 mSv).
Conclusions: There was 9.1% improvement in NDRL for 2019, compared to 2018, but there is a continuous need for improving NDRL.
Advances In Knowledge: Data provided a trend of NDRL that is served as a national data bank for continuous optimisation.
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http://dx.doi.org/10.1259/bjro.20210020 | DOI Listing |
Blood
January 2025
Hospital Santa Creu i Sant Pau, Barcelona, Spain.
CD30-directed CART cell therapy (CART30) has limited efficacy in relapsed or refractory patients with CD30+ lymphoma, with a low proportion of durable responses. We have developed an academic CART30 cell product (HSP-CAR30) by combining strategies to improve performance. HSP-CAR30 targets a proximal epitope within the non-soluble part of CD30, and the manufacturing process includes a modulation of ex vivo T cell activation, as well as the addition of interleukin-21 to IL-7 and IL-15 to promote stemness of T cells.
View Article and Find Full Text PDFJ Chem Phys
January 2025
Department of Chemistry, Chicago Center for Theoretical Chemistry, James Franck Institute, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, USA.
Bottom-up coarse-grained (CG) modeling is an effective means of bypassing the limited spatiotemporal scales of conventional atomistic molecular dynamics while retaining essential information from the atomistic model. A central challenge in CG modeling is the trade-off between accuracy and efficiency, as the inclusion of often pivotal many-body interaction terms in the CG force-field renders simulation markedly slower than simple pairwise models. The Ultra Coarse-Graining (UCG) method incorporates many-body terms through discrete internal state variables that modulate the CG force-field according to, e.
View Article and Find Full Text PDFHua Xi Kou Qiang Yi Xue Za Zhi
February 2025
State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Dept. of Cleft Lip and Palate Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China.
Objectives: This study aims to explore the association between single nucleotide polymorphisms (SNPs) loci near the haplotype region hg19 chr9:100560865-100660865 of the forkhead box E1 (FOXE1) gene and the occurrence of non-syndromic cleft lip with or without cleft palate (NSCL/P) in western Han Chinese population.
Methods: In the first stage, our study recruited 159 NSCL/P patients and performed targeted region sequencing to screen SNPs loci near the haplotype region of the FOXE1 gene associated with NSCL/P. In the second stage, we selected 21 common SNPs and re-enrolled 1 000 non-syndromic cleft lip only (NSCLO) patients, 1 000 non-syndromic cleft palate only (NSCPO) patients, and 1 000 normal controls to verify the association.
Clinicoecon Outcomes Res
January 2025
Public Systems Group, Indian Institute of Management Ahmedabad, Ahmedabad, Gujarat, India.
Introduction: Clinical trials are critical for drug development and patient care; however, they often need more efficient trial design and patient enrolment processes. This research explores integrating machine learning (ML) techniques to address these challenges. Specifically, the study investigates ML models for two critical aspects: (1) streamlining clinical trial design parameters (like the site of drug action, type of Interventional/Observational model, etc) and (2) optimizing patient/volunteer enrolment for trials through efficient classification techniques.
View Article and Find Full Text PDFTranspl Int
January 2025
Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department for General and Visceral Surgery, Berlin, Germany.
Kidney transplantation is the treatment of choice for end-stage organ failure. To improve transplantation outcomes, particularly of "marginal" organs from extended criteria donors (ECD), attempts have been made to therapeutically modulate donor or graft pre-transplantation. Anti-thymocyte globulin (ATG) has a history as lymphocyte-depleting, immunosuppressive drug for treating rejection episodes post transplantation.
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