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Identification of the Adamkiewicz artery (AKA) using CT angiography (CTA) is crucial in patients with thoracic aortic aneurysm (TAA) or aortic dissection (AD). The purpose of this study was to compare the AKA detection rate of intravenous injection with a 64-slice MDCT (IV64) versus a 16-slice MDCT (IV16) as well as by CTA using intra-arterial injection with a 16-slice MDCT (IA16). A retrospective review of 160 consecutive patients who underwent CTA was performed. There were 108 TAA and 52 AD cases, 105 of whom were examined with IV64, 15 with IV16, and 40 with IA16. The AKA detectability for each imaging method was assessed, and the factors influencing the detectability were analyzed by multivariate analysis. The detection rates for IV64, IV16, and IA16 were 85.7, 60.0, and 80.0 %, respectively, with IV64 being more sensitive than IV16 (P = 0.025). The detection rate for AD patients was 66.7 % with IV64, which was similar to IV16 (57.1 %) and IA16 (66.8 %). On the other hand, the detection rate for TAA patients was 93.3 % with IV64, which was higher than IV16 (62.5 %, P = 0.021) and similar to IA16 (88.0 %). Multivariate analysis demonstrated the independent factors for AKA detectability were TAA versus AD (P = 0.005, Odds ratio = 3.98) and IV64 versus IV16 (P = 0.037, Odds ratio = 4.03). The detection rate was higher for IV64 than for IV16, especially for TAA patients, while the rate was similar between IV64 and invasive IA16. A 64-slice MDCT thus provides a less invasive visualization of the AKA.
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http://dx.doi.org/10.1007/s10554-013-0301-z | DOI Listing |
Mikrochim Acta
September 2025
Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Salmonella Typhimurium (S. Typhimurium) is one of the most common food-borne diseases, highlighted as the top food-borne bacterial pathogen in the world with a low infectious dose (1 CFU) and high mortality rate. It is commonly associated with numerous foods such as dairy products, protein sources (multiple types of meat, poultry, and eggs), and bakery products.
View Article and Find Full Text PDFOral Radiol
September 2025
Department of Oral and Maxillofacial Radiology, Eskisehir Osmangazi University, Meşelik Campus, Büyükdere Neighborhood, Prof. Dr. Nabi Avcı Boulevard No:4, Odunpazarı, Eskişehir, 26040, Turkey.
Objectives: The primary objective of this study is to evaluate the effectiveness of artificial intelligence-assisted segmentation methods in detecting carotid artery calcification (CAC) in panoramic radiographs and to compare the performance of different YOLO models: YOLOv5x-seg, YOLOv8x-seg, and YOLOv11x-seg. Additionally, the study aims to investigate the association between patient gender and the presence of CAC, as part of a broader epidemiological analysis.
Methods: In this study, 30,883 panoramic radiographs were scanned.
Eur J Orthop Surg Traumatol
September 2025
Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.
Background: To analyze penetrating extremity injuries at a Scandinavian urban Level-1 trauma center regarding incidence, mechanism of injury, imaging approach and clinical outcome.
Methods: A retrospective study (2013-2016) of penetrating injuries to the extremities based on a Trauma Registry. Retrieved variables included patient demographics, injury characteristics, time to CT and 30-day morbidity.
World J Urol
September 2025
Bichat Claude Bernard Hospital, Public Assistance of Paris Hospitals, Paris, France.
Purpose: Screening and diagnosing ISUP ≥ 2 prostate cancer is challenging. This study aimed to determine whether canine detection could be beneficial addition to the ISUP ≥ 2 prostate cancer diagnostic protocol by creating a decision-making algorithm for men with suspected prostate cancer.
Methods: We conducted a prospective study at two urology institutions and a French veterinary school, including men with a suspicion of prostate cancer from November to April 2023, which were divided into two groups according to their prostate biopsy results.
Nat Genet
September 2025
Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
Aberrant DNA methylation has been described in nearly all human cancers, yet its interplay with genomic alterations during tumor evolution is poorly understood. To explore this, we performed reduced representation bisulfite sequencing on 217 tumor and matched normal regions from 59 patients with non-small cell lung cancer from the TRACERx study to deconvolve tumor methylation. We developed two metrics for integrative evolutionary analysis with DNA and RNA sequencing data.
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