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Background: Although one-stop cerebral carotid aortic CTA is useful for diagnosing and treating type A aortic dissection, the radiation dose is increased due to the wider scanning range. The impact of varying arm positions on radiation dose and image quality is unknown when optimizing the scan protocol. This study aims to determine the best scanning protocol to minimize radiation dose while maintaining image quality, as well as how arm position impacts radiation dose and image quality of low dose one-stop cerebral carotid aortic CTA.
Methods: Between January 2022 and August 2023,a total of 185 patients were enrolled in the study and underwent low-dose one-stop cerebral carotid aortic CTA. Two groups were randomly assigned to the patients: Rising arm group (group A) and drooping arm group (group B). Two radiologists assessed the subjective image quality using a 5-point scale, and kappa test was performed to evaluate the consistency between observers. Regions of interest (ROI) were set up in target vessels, and the objective image quality was evaluated by attenuation, noise, signal to noise ratio (SNR) and contrast to noise ratio (CNR). Tube current, volumetric CT dose index (CTDIvol) and dose length product (DLP) and the effective radiation dose (E) were compared between the two groups. The comparison was performed using t test.
Results: Subjective image quality of group B was significantly higher than group A (p < 0.05), and the patient characteristics of the two groups did not differ significantly (P > 0.05). The consistency between observers (κ = 0.84 for group A and κ = 0.89 for group B) were excellent. Group B showed lower overall noise level, higher SNR, CNR, and higher vascular attenuation level than group A. Furthermore, group B showed reduced DLP, E, tube current, and CTDIvol, and higher aortic noise and decreased cerebral and carotid vascular noise (all p < 0.05).
Conclusion: Low-dose dual-source one-stop cerebral carotid aortic CTA radiation dose can be minimized and image quality can be improved by positioning both arms on the body side.
Clinical Trial Number: Not applicable.
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http://dx.doi.org/10.1186/s12880-025-01742-w | DOI Listing |
Circ Arrhythm Electrophysiol
September 2025
Department of Congenital Heart Disease, Evelina London Children's Hospital, United Kingdom (S. Chivers, T.V., V.Z., S.M., G.M., W.R., E.R., D.F.A.L., T.G.D., O.I.M., G.K.S., J.M.S.).
Background: Fetal tachycardias can cause adverse fetal outcomes including ventricular dysfunction, hydrops, and fetal demise. Postnatally, ECG is the gold standard, but, in fetal practice, echocardiography is used most frequently to diagnose and monitor fetal arrhythmias. Noninvasive extraction of the fetal ECG (fECG) may provide additional information about the electrophysiological mechanism and monitoring of intermittent arrhythmias.
View Article and Find Full Text PDFACS Sens
September 2025
Institute of Applied Mechanics, National Taiwan University, Taipei 106, Taiwan.
In recent AI-driven disease diagnosis, the success of models has depended mainly on extensive data sets and advanced algorithms. However, creating traditional data sets for rare or emerging diseases presents significant challenges. To address this issue, this study introduces a direct-self-attention Wasserstein generative adversarial network (DSAWGAN) designed to improve diagnostic capabilities in infectious diseases with limited data availability.
View Article and Find Full Text PDFMagn Reson Med
September 2025
Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Purpose: To develop a deep learning-based reconstruction method for highly accelerated 3D time-of-flight MRA (TOF-MRA) that achieves high-quality reconstruction with robust generalization using extremely limited acquired raw data, addressing the challenge of time-consuming acquisition of high-resolution, whole-head angiograms.
Methods: A novel few-shot learning-based reconstruction framework is proposed, featuring a 3D variational network specifically designed for 3D TOF-MRA that is pre-trained on simulated complex-valued, multi-coil raw k-space datasets synthesized from diverse open-source magnitude images and fine-tuned using only two single-slab experimentally acquired datasets. The proposed approach was evaluated against existing methods on acquired retrospectively undersampled in vivo k-space data from five healthy volunteers and on prospectively undersampled data from two additional subjects.
MAGMA
September 2025
Department of Medical Imaging, (766), Radboud University Medical Center, Geert Grooteplein 10Radboudumc, P.O. Box 9101, 6500 HB, Nijmegen, the Netherlands.
Objective: To improve B field homogeneity in prostate MR imaging and spectroscopy using a custom-designed 16-channel external local shim coil array.
Methods: In vivo prostate imaging was performed in seven healthy volunteers (mean age: 40.7 years) without bowel preparation.
J Cancer Res Clin Oncol
September 2025
Department of Radiology, Guizhou Provincial People's Hospital, No. 83 East Zhongshan Road, Guiyang, 550002, Guizhou, China.
Purpose: Targeted therapy with lenvatinib is a preferred option for advanced hepatocellular carcinoma, however, predicting its efficacy remains challenging. This study aimed to build a nomogram integrating clinicoradiological indicators and radiomics features to predict the response to lenvatinib in patients with hepatocellular carcinoma.
Methods: This study included 211 patients with hepatocellular carcinoma from two centers, who were allocated into the training (107 patients), internal test (46 patients) and external test set(58 patients).