In interventional cardiology, a wide variation in patient dose for the same type of procedure has been recognised by different studies. Variation is almost due to procedure complexity, equipment performance, procedure protocol and operator skill. The SENTINEL consortium has performed a survey in nine european centres collecting information on near 2000 procedures, and a new set of reference levels (RLs) for coronary angiography and angioplasty and diagnostic electrophysiology has been assessed for air kerma-area product: 45, 85 and 35 Gy cm2, effective dose: 8, 15 and 6 mSv, cumulative dose at interventional reference point: 650 and 1500 mGy, fluoroscopy time: 6.5, 15.5 and 21 min and cine frames: 700 and 1000 images, respectively. Because equipment performance and set-up are the factors contributing to patient dose variability, entrance surface air kerma for fluoroscopy, 13 mGy min(-1), and image acquisition, 0.10 mGy per frame, have also been proposed in the set of RLs.
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http://dx.doi.org/10.1093/rpd/ncn039 | DOI Listing |
J Cancer Res Ther
December 2024
Department of Colorectal Surgery, Shanghai Cancer Center, Fudan University, Xuhui District, Shanghai, China.
Objective: Carbohydrate antigen 19-9 (CA19-9) and carcinoembryonic antigen (CEA) serve as pivotal tumor markers in colorectal cancer (CRC). However, uncertainty persists regarding the prognostic significance of the two tumor markers when falling within the normal range. We attempt to compare the prognostic differences of tumor markers at different levels within the reference range.
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January 2025
Department of Nuclear Medicine, University Hospital of Cologne, Kerpener Straße 62, 50937, Cologne, Germany.
Background: In clinical practice, several radiopharmaceuticals are used for PSMA-PET imaging, each with distinct biodistribution patterns. This may impact treatment decisions and outcomes, as eligibility for PSMA-directed radioligand therapy is usually assessed by comparing tumoral uptake to normal liver uptake as a reference. In this study, we aimed to compare tracer uptake intraindividually in various reference regions including liver, parotid gland and spleen as well as the respective tumor-to-background ratios (TBR) of different F-labeled PSMA ligands to today's standard radiopharmaceutical Ga-PSMA-11 in a series of patients with biochemical recurrence of prostate cancer who underwent a dual PSMA-PET examination as part of an individualized diagnostic approach.
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January 2025
Programa de Pós-graduação em Odontologia, Escola de Ciências da Saúde e da Vida, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Purpose: It has been suggested that dentofacial deformities (DFD) can impair sleep quality. This pilot study aimed at evaluating sleep disorders in individuals with DFD before orthognathic surgery, correlating the clinical findings with salivary biomarker levels.
Methods: This cross-sectional study enrolled ten males and ten females with DFD diagnoses under orthodontic treatment preceding orthognathic surgery.
Langenbecks Arch Surg
January 2025
Department of Surgery, Division of HBP Surgery & Liver Transplantation, Korea University College of Medicine, Seoul, Korea.
Purpose: Pancreatectomy patients often experience challenging fluctuations in blood glucose levels; therefore, they require a reliable monitoring system. This study aimed to determine the accuracy and acceptability of a continuous glucose monitoring (CGM) system compared with the intermittent capillary glucose test in patients who have undergone pancreatectomy.
Methods: Thirty non-diabetic pancreatectomy patients participated.
Eur Radiol
January 2025
Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
Objectives: The use of deep learning models for quantitative measurements on coronary computed tomography angiography (CCTA) may reduce inter-reader variability and increase efficiency in clinical reporting. This study aimed to investigate the diagnostic performance of a recently updated deep learning model (CorEx-2.0) for quantifying coronary stenosis, compared separately with two expert CCTA readers as references.
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