Purpose: The aim of this study was to evaluate the role of preoperative sonography in predicting technical difficulties during laparoscopic cholecystectomy in patients with acute cholecystitis.
Methods: Sonographic assessment of 14 parameters was performed in 55 patients during a 9-month period: volume of gallbladder (GB), thickness of GB wall, pattern of GB wall thickening, size of largest gallstone, gallstone mobility, adhesion of GB to its bed, fat plane between GB and hepatoduodenal ligament, free fluid in GB fossa, common bile duct (CBD) dilatation, CBD stone(s), color and power Doppler signals in GB wall, and increased color and power Doppler signals in adjacent liver. Each of the 5 operative steps of laparoscopic cholecystectomy was scored as being difficult (1) or not (0). The scores for each step were added to obtain the overall difficulty score (0-5). We evaluated prospectively whether there were significant associations among the preoperative sonographic findings and the overall difficulty score, scores for each of the 5 operative steps, and operation time.
Results: The overall difficulty score was significantly associated with a GB volume of 50 cm(3) or more, GB wall thickness of 3 mm or more, and presence of color Doppler signals in the GB wall. Increased GB volume also made dissection of adhesions from the GB and dissection of Calot's triangle more difficult. Extraction of the GB from the abdomen was more difficult with a thickened GB wall or adhesion of the GB to its bed. The presence of a CBD stone, dilatation of the CBD (> or = 8 mm), color Doppler signals in the GB wall, and increased power Doppler signals in the adjacent liver were significantly associated with increased operation time.
Conclusions: Based on our experience, preoperative determination of GB volume, GB wall thickness, and presence of color Doppler signals in the GB wall in patients with acute cholecystitis helps predict technical difficulties during laparoscopic cholecystectomy.
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http://dx.doi.org/10.1002/jcu.20001 | DOI Listing |
Sci Rep
January 2025
The 705 Research Institute, China State Shipbuilding Corporation Limited, Xi'an, 710077, China.
To mitigate the impact of the suboptimal ambiguity function of digital television terrestrial multimedia broadcasting (DTMB) signal, used as the illuminator of opportunity in passive bistatic radar, this paper provides a detailed analysis of the ambiguity function characteristics based on the physical structure of the DTMB signal frame. It elucidates the mechanisms behind intra-frame and inter-frame range sidelobes, as well as Doppler sidelobes. Building on this analysis, a novel joint method for suppressing range-Doppler ambiguity sidelobes is proposed to achieve unambiguous target detection.
View Article and Find Full Text PDFCirc Res
January 2025
Experimental Research Center, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, China (H.J.).
Background: Metabolic syndrome heightens cardiovascular disease risk primarily through increased arterial stiffness. We previously demonstrated the involvement of YAP (Yes-associated protein) in high-fat/high-sucrose diet (HFHSD)-induced arterial stiffness via modulation of PPM1B (protein phosphatase Mg/Mn-dependent 1B)-lysine63 (K63) deubiquitination. In this study, we aimed to elucidate the role and mechanisms underlying PPM1B deubiquitination in HFHSD-induced arterial stiffness.
View Article and Find Full Text PDFRMD Open
December 2024
Rheumatology, Leiden University Medical Center, Leiden, Zuid-Holland, Netherlands.
Background: Inflammation is increasingly recognised as a treatment target in hand osteoarthritis, and therefore correct measurement of local inflammation is essential. This study aimed to assess ultrasound scoring of synovitis and the additional value of the Global OMERACT/EULAR Ultrasound Synovitis Score (GLOESS) in hand osteoarthritis.
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Magn Reson Med
December 2024
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA.
Purpose: Proton magnetic resonance spectroscopic imaging ( -MRSI) provides noninvasive spectral-spatial mapping of metabolism. However, long-standing problems in whole-brain -MRSI are spectral overlap of metabolite peaks with large lipid signal from scalp, and overwhelming water signal that distorts spectra. Fast and effective methods are needed for high-resolution -MRSI to accurately remove lipid and water signals while preserving the metabolite signal.
View Article and Find Full Text PDFBiomed Tech (Berl)
December 2024
Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen (AöR), Essen, Germany.
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