The electrical activity recorded on the abdomen during pregnancy and labor (abdominal signals, ADS) contains vital information about the health state of both mother and fetus. The most important signal related with the health of fetus, extensively studied by now, is the fetal ECG (fECG) which allows physicians to examine the evolution of the fetus and to identify possible heart diseases of fetus. The movement of the fetus which shows up in the electrohysterogram (EHG), extracted from ADS, indicates a normal pregnancy. This paper presents a method of removing the maternal ECG (mECG) from ADS in order extract the EHG and to obtain information about the uterine contractions and fetal movements. After removing the mECG and the fECG, the ADS, filtered in the frequency range of the uterine activity, is further used to predict labor or preterm labor. The ADS, cleaned from the mECG allows also the analysis of the fECG for fetal monitoring.
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http://dx.doi.org/10.1109/IEMBS.2007.4352353 | DOI Listing |
J Comput Assist Tomogr
January 2025
Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine.
Objective: To explore the application of low-energy image in dual-energy spectral CT (DEsCT) combined with deep learning image reconstruction (DLIR) to improve inferior vena cava imaging.
Materials And Methods: Thirty patients with inferior vena cava syndrome underwent contrast-enhanced upper abdominal CT with routine dose, and the 40, 50, 60, 70, and 80 keV images in the delayed phase were first reconstructed with the ASiR-V40% algorithm. Image quality was evaluated both quantitatively [CT value, SD, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) for inferior vena cava] and qualitatively to select an optimal energy level with the best image quality.
Invest Radiol
January 2025
From the Department of Radiology, Ulsan University Hospital, Ulsan, Republic of Korea (T.Y.L.); Department of Radiology, University of Ulsan College of Medicine, Seoul, Republic of Korea (T.Y.L.); Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea (J.H.Y., H.K., J.M.L.); Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea (J.H.Y., S.H.P., J.M.L.); Department of Radiology, Inje University Busan Paik Hospital, Busan, Republic of Korea (J.Y.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (S.H.P.); Department of Radiology, Hanyang University College of Medicine, Seoul, Republic of Korea (C.L.); Division of Biostatistics, Medical Research Collaborating Center, Seoul National University Hospital, Seoul, Republic of Korea (Y.C.); and Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea (J.M.L.).
Objective: The aim of this study was to intraindividually compare the conspicuity of focal liver lesions (FLLs) between low- and ultra-low-dose computed tomography (CT) with deep learning reconstruction (DLR) and standard-dose CT with model-based iterative reconstruction (MBIR) from a single CT using dual-split scan in patients with suspected liver metastasis via a noninferiority design.
Materials And Methods: This prospective study enrolled participants who met the eligibility criteria at 2 tertiary hospitals in South Korea from June 2022 to January 2023. The criteria included (a) being aged between 20 and 85 years and (b) having suspected or known liver metastases.
J Am Soc Nephrol
January 2025
Nephrology Division, Department of Medicine, the Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510630, China.
Background: Peritoneal fibrosis is a serious complication of long-term peritoneal dialysis (PD) and abdominal surgeries, yet effective treatments remain elusive. Given the known roles of mucosal-associated invariant T (MAIT) cells in immune responses and fibrotic diseases, we investigated their involvement in PD-induced peritoneal fibrosis to identify potential therapeutic targets.
Methods: We employed single-cell RNA sequencing (scRNA-seq) and flow cytometry to characterize the activation and function of peritoneal MAIT cells in patients undergoing long-term PD.
J Am Soc Nephrol
January 2025
Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Background: Deficiency of adiponectin and its downstream signaling may contribute to the pathogenesis of kidney injury in type 2 diabetes. Adiponectin activates intracellular signaling via adiponectin receptors 1 and 2 (AdipoR1 and AdipoR2), but the role of AdipoR-mediated signaling in glomerular injury in type 2 diabetes remains unknown.
Methods: The expression of AdipoR1 in the kidneys of people with type 2 diabetes and the expression of podocyte proteins or injury markers in the kidneys of AdipoR1-knockout (AdipoR1-KO) mice and immortalized AdipoR1-deficient human podocytes were investigated by immunohistochemistry and immunoblotting.
BMC Genomics
January 2025
Zhanjiang Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang, 524013, China.
Background: The Leizhou Black Goat (LZBG), a prominent breed in tropical China's meat goat industry, frequently exhibits inherent muscle atrophy and malnutrition-related traits. Particularly, muscles critical for support, such as the legs, often display severe symptoms. This study aimed to investigate the differential genes and signaling pathways influencing muscle development and atrophy across various muscle locations in LZBG from a muscular atrophy-affected family.
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